From 9cc2bd2782c93db4480924375860e3b1fde86933 Mon Sep 17 00:00:00 2001
From: Bradlee Speice <bradlee@speice.io>
Date: Sun, 10 Nov 2024 16:36:22 -0500
Subject: [PATCH] Revert

---
 .devcontainer/Dockerfile                      |    8 +-
 .devcontainer/devcontainer.json               |   40 +-
 .gitignore                                    |   32 +-
 .husky/pre-commit                             |    4 -
 .vale.ini                                     |    7 +
 404.html                                      |   24 +
 CNAME                                         |    1 +
 Gemfile                                       |   29 +
 Gemfile.lock                                  |   78 +
 _config.yml                                   |   44 +
 _includes/footer.html                         |   23 +
 _includes/head.html                           |    7 +
 _includes/nav.html                            |    7 +
 _includes/page_header.html                    |   15 +
 _pages/about.md                               |   13 +
 _posts/2018-05-28-hello.md                    |   38 +
 _posts/2018-06-25-dateutil-parser-to-rust.md  |  177 +
 ...2018-09-01-primitives-in-rust-are-weird.md |  323 ++
 _posts/2018-09-15-isomorphic-apps.md          |  294 ++
 _posts/2018-10-08-case-study-optimization.md  |  168 +
 ...-12-04-what-small-business-really-means.md |   34 +
 _posts/2018-12-15-allocation-safety.md        |  218 +
 ...02-04-understanding-allocations-in-rust.md |  113 +
 .../2019-02-05-the-whole-world.md             |   11 +-
 _posts/2019-02-06-stacking-up.md              |  601 +++
 _posts/2019-02-07-a-heaping-helping.md        |  254 ++
 _posts/2019-02-08-compiler-optimizations.md   |  148 +
 _posts/2019-02-09-summary.md                  |   35 +
 _posts/2019-05-03-making-bread.md             |   52 +
 _posts/2019-06-31-high-performance-systems.md |  296 ++
 _posts/2019-09-28-binary-format-shootout.md   |  263 ++
 _posts/2019-12-14-release-the-gil.md          |  370 ++
 .../2022-11-20-webpack-industrial-complex.md  |   60 +
 assets/css/fonts.css                          |   15 +
 assets/css/style.scss                         |  119 +
 assets/font/JetBrainsMono-Regular.woff        |  Bin 0 -> 59368 bytes
 assets/font/JetBrainsMono-Regular.woff2       |  Bin 0 -> 44688 bytes
 assets/font/lato-regular-webfont.woff         |  Bin 0 -> 38260 bytes
 assets/font/lato-regular-webfont.woff2        |  Bin 0 -> 30308 bytes
 assets/images/2018-05-28-bread.jpg            |  Bin 0 -> 860195 bytes
 assets/images/2018-05-28-rocks.jpg            |  Bin 0 -> 947828 bytes
 assets/images/2018-06-25-gravel-mound.jpg     |  Bin 0 -> 168900 bytes
 .../images/2018-09-15-electron-percy-wasm.png |  Bin 0 -> 51642 bytes
 .../images/2018-09-15-incorrect-MIME-type.png |  Bin 0 -> 49655 bytes
 .../2018-10-heaptrack/heaptrack-after.png     |  Bin 0 -> 72414 bytes
 .../2018-10-heaptrack/heaptrack-before.png    |  Bin 0 -> 69842 bytes
 .../heaptrack-closeup-after.png               |  Bin 0 -> 23782 bytes
 .../2018-10-heaptrack/heaptrack-closeup.png   |  Bin 0 -> 24166 bytes
 .../heaptrack-dtparse-colorized.png           |  Bin 0 -> 126839 bytes
 .../heaptrack-flamegraph-after.png            |  Bin 0 -> 148377 bytes
 .../heaptrack-flamegraph-default.png          |  Bin 0 -> 138608 bytes
 .../heaptrack-flamegraph.png                  |  Bin 0 -> 141686 bytes
 .../heaptrack-flamegraph.xcf                  |  Bin 0 -> 585864 bytes
 .../heaptrack-main-colorized.png              |  Bin 0 -> 100144 bytes
 .../heaptrack-parseinfo-colorized.png         |  Bin 0 -> 137074 bytes
 assets/images/2019-02-04-container-size.svg   |    1 +
 assets/images/2019-04-24-kung-fu.webp         |  Bin 0 -> 310854 bytes
 .../2019-05-03-making-bread/final-product.jpg |  Bin 0 -> 352383 bytes
 .../2019-05-03-making-bread/shaped-loaves.jpg |  Bin 0 -> 303504 bytes
 .../shattered-glass.jpg                       |  Bin 0 -> 385640 bytes
 .../white-dough-rising-after-fold.jpg         |  Bin 0 -> 173498 bytes
 .../white-dough-rising-before-fold.jpg        |  Bin 0 -> 143739 bytes
 .../whole-wheat-not-rising.jpg                |  Bin 0 -> 198406 bytes
 assets/images/2022-11-20-video_mp2t.png       |  Bin 0 -> 48651 bytes
 index.md                                      |    6 +
 package-lock.json                             | 3711 -----------------
 package.json                                  |   43 -
 pages/LayoutBase.tsx                          |   16 -
 pages/LayoutPage.tsx                          |   12 -
 pages/Navbar.tsx                              |   18 -
 pages/about.mdx                               |   23 -
 pages/index.tsx                               |   18 -
 pages/style.css                               |  130 -
 posts/LayoutBlog.tsx                          |   49 -
 tsconfig.json                                 |   19 -
 vite.config.ts                                |   30 -
 76 files changed, 3860 insertions(+), 4137 deletions(-)
 delete mode 100755 .husky/pre-commit
 create mode 100644 .vale.ini
 create mode 100644 404.html
 create mode 100644 CNAME
 create mode 100644 Gemfile
 create mode 100644 Gemfile.lock
 create mode 100644 _config.yml
 create mode 100644 _includes/footer.html
 create mode 100644 _includes/head.html
 create mode 100644 _includes/nav.html
 create mode 100644 _includes/page_header.html
 create mode 100644 _pages/about.md
 create mode 100644 _posts/2018-05-28-hello.md
 create mode 100644 _posts/2018-06-25-dateutil-parser-to-rust.md
 create mode 100644 _posts/2018-09-01-primitives-in-rust-are-weird.md
 create mode 100644 _posts/2018-09-15-isomorphic-apps.md
 create mode 100644 _posts/2018-10-08-case-study-optimization.md
 create mode 100644 _posts/2018-12-04-what-small-business-really-means.md
 create mode 100644 _posts/2018-12-15-allocation-safety.md
 create mode 100644 _posts/2019-02-04-understanding-allocations-in-rust.md
 rename posts/2019/02/the-whole-world.mdx => _posts/2019-02-05-the-whole-world.md (98%)
 create mode 100644 _posts/2019-02-06-stacking-up.md
 create mode 100644 _posts/2019-02-07-a-heaping-helping.md
 create mode 100644 _posts/2019-02-08-compiler-optimizations.md
 create mode 100644 _posts/2019-02-09-summary.md
 create mode 100644 _posts/2019-05-03-making-bread.md
 create mode 100644 _posts/2019-06-31-high-performance-systems.md
 create mode 100644 _posts/2019-09-28-binary-format-shootout.md
 create mode 100644 _posts/2019-12-14-release-the-gil.md
 create mode 100644 _posts/2022-11-20-webpack-industrial-complex.md
 create mode 100644 assets/css/fonts.css
 create mode 100644 assets/css/style.scss
 create mode 100644 assets/font/JetBrainsMono-Regular.woff
 create mode 100644 assets/font/JetBrainsMono-Regular.woff2
 create mode 100644 assets/font/lato-regular-webfont.woff
 create mode 100644 assets/font/lato-regular-webfont.woff2
 create mode 100644 assets/images/2018-05-28-bread.jpg
 create mode 100644 assets/images/2018-05-28-rocks.jpg
 create mode 100644 assets/images/2018-06-25-gravel-mound.jpg
 create mode 100644 assets/images/2018-09-15-electron-percy-wasm.png
 create mode 100644 assets/images/2018-09-15-incorrect-MIME-type.png
 create mode 100644 assets/images/2018-10-heaptrack/heaptrack-after.png
 create mode 100644 assets/images/2018-10-heaptrack/heaptrack-before.png
 create mode 100644 assets/images/2018-10-heaptrack/heaptrack-closeup-after.png
 create mode 100644 assets/images/2018-10-heaptrack/heaptrack-closeup.png
 create mode 100644 assets/images/2018-10-heaptrack/heaptrack-dtparse-colorized.png
 create mode 100644 assets/images/2018-10-heaptrack/heaptrack-flamegraph-after.png
 create mode 100644 assets/images/2018-10-heaptrack/heaptrack-flamegraph-default.png
 create mode 100644 assets/images/2018-10-heaptrack/heaptrack-flamegraph.png
 create mode 100644 assets/images/2018-10-heaptrack/heaptrack-flamegraph.xcf
 create mode 100644 assets/images/2018-10-heaptrack/heaptrack-main-colorized.png
 create mode 100644 assets/images/2018-10-heaptrack/heaptrack-parseinfo-colorized.png
 create mode 100644 assets/images/2019-02-04-container-size.svg
 create mode 100644 assets/images/2019-04-24-kung-fu.webp
 create mode 100644 assets/images/2019-05-03-making-bread/final-product.jpg
 create mode 100644 assets/images/2019-05-03-making-bread/shaped-loaves.jpg
 create mode 100644 assets/images/2019-05-03-making-bread/shattered-glass.jpg
 create mode 100644 assets/images/2019-05-03-making-bread/white-dough-rising-after-fold.jpg
 create mode 100644 assets/images/2019-05-03-making-bread/white-dough-rising-before-fold.jpg
 create mode 100644 assets/images/2019-05-03-making-bread/whole-wheat-not-rising.jpg
 create mode 100644 assets/images/2022-11-20-video_mp2t.png
 create mode 100644 index.md
 delete mode 100644 package-lock.json
 delete mode 100644 package.json
 delete mode 100644 pages/LayoutBase.tsx
 delete mode 100644 pages/LayoutPage.tsx
 delete mode 100644 pages/Navbar.tsx
 delete mode 100644 pages/about.mdx
 delete mode 100644 pages/index.tsx
 delete mode 100644 pages/style.css
 delete mode 100644 posts/LayoutBlog.tsx
 delete mode 100644 tsconfig.json
 delete mode 100644 vite.config.ts

diff --git a/.devcontainer/Dockerfile b/.devcontainer/Dockerfile
index b59f725..7159a0b 100644
--- a/.devcontainer/Dockerfile
+++ b/.devcontainer/Dockerfile
@@ -1,2 +1,6 @@
-ARG VARIANT=16-bullseye
-FROM mcr.microsoft.com/vscode/devcontainers/typescript-node:0-${VARIANT}
+FROM mcr.microsoft.com/vscode/devcontainers/ruby:0-2.7-bullseye
+
+RUN wget https://github.com/errata-ai/vale/releases/download/v2.21.0/vale_2.21.0_Linux_64-bit.tar.gz -O /tmp/vale.tar.gz \
+ && cd /usr/local/bin \
+ && tar xf /tmp/vale.tar.gz \
+ && rm /tmp/vale.tar.gz
\ No newline at end of file
diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json
index a82cd7e..1d206de 100644
--- a/.devcontainer/devcontainer.json
+++ b/.devcontainer/devcontainer.json
@@ -1,35 +1,13 @@
 // For format details, see https://aka.ms/devcontainer.json. For config options, see the README at:
-// https://github.com/microsoft/vscode-dev-containers/tree/v0.245.0/containers/typescript-node
+// https://github.com/microsoft/vscode-dev-containers/tree/v0.245.0/containers/ruby
 {
-  "name": "Node.js & TypeScript",
-  "build": {
-    "dockerfile": "Dockerfile",
-    // Update 'VARIANT' to pick a Node version: 18, 16, 14.
-    // Append -bullseye or -buster to pin to an OS version.
-    // Use -bullseye variants on local on arm64/Apple Silicon.
-    "args": {
-      "VARIANT": "18-bullseye"
-    }
-  },
-  "runArgs": ["--userns=keep-id"],
+	"name": "Ruby",
+	"build": {
+		"dockerfile": "Dockerfile"
+	},
+	"runArgs": ["--userns=keep-id"],
 
-  // Configure tool-specific properties.
-  "customizations": {
-    // Configure properties specific to VS Code.
-    "vscode": {
-      // Add the IDs of extensions you want installed when the container is created.
-      "extensions": ["dbaeumer.vscode-eslint"]
-    }
-  },
-
-  // Use 'forwardPorts' to make a list of ports inside the container available locally.
-  // "forwardPorts": [],
-
-  // Use 'postCreateCommand' to run commands after the container is created.
-  // "postCreateCommand": "yarn install",
-
-  // Comment out to connect as root instead. More info: https://aka.ms/vscode-remote/containers/non-root.
-  "remoteUser": "node",
-  "containerUser": "node",
-  "workspaceMount": "source=${localWorkspaceFolder},target=/workspaces/${localWorkspaceFolderBasename},type=bind,Z"
+	"remoteUser": "vscode",
+	"containerUser": "vscode",
+	"workspaceMount": "source=${localWorkspaceFolder},target=/workspaces/${localWorkspaceFolderBasename},type=bind,Z"
 }
diff --git a/.gitignore b/.gitignore
index a547bf3..508b6b2 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,24 +1,8 @@
-# Logs
-logs
-*.log
-npm-debug.log*
-yarn-debug.log*
-yarn-error.log*
-pnpm-debug.log*
-lerna-debug.log*
-
-node_modules
-dist
-dist-ssr
-*.local
-
-# Editor directories and files
-.vscode/*
-!.vscode/extensions.json
-.idea
-.DS_Store
-*.suo
-*.ntvs*
-*.njsproj
-*.sln
-*.sw?
+_site/
+.swp
+.sass-cache/
+.jekyll-metadata
+.bundle/
+vendor/
+.styles/
+.vscode/
diff --git a/.husky/pre-commit b/.husky/pre-commit
deleted file mode 100755
index 0da96d6..0000000
--- a/.husky/pre-commit
+++ /dev/null
@@ -1,4 +0,0 @@
-#!/usr/bin/env sh
-. "$(dirname -- "$0")/_/husky.sh"
-
-npx pretty-quick --staged
diff --git a/.vale.ini b/.vale.ini
new file mode 100644
index 0000000..777f626
--- /dev/null
+++ b/.vale.ini
@@ -0,0 +1,7 @@
+StylesPath = .styles
+MinAlertLevel = suggestion
+Packages = Microsoft, write-good
+
+[*]
+BasedOnStyles = Vale, Microsoft, write-good
+write-good.E-Prime = NO
\ No newline at end of file
diff --git a/404.html b/404.html
new file mode 100644
index 0000000..3969180
--- /dev/null
+++ b/404.html
@@ -0,0 +1,24 @@
+---
+layout: page
+---
+
+<style type="text/css" media="screen">
+  .container {
+    margin: 10px auto;
+    max-width: 600px;
+    text-align: center;
+  }
+  h1 {
+    margin: 30px 0;
+    font-size: 4em;
+    line-height: 1;
+    letter-spacing: -1px;
+  }
+</style>
+
+<div class="container">
+  <h1>404</h1>
+
+  <p><strong>Page not found :(</strong></p>
+  <p>The requested page could not be found.</p>
+</div>
diff --git a/CNAME b/CNAME
new file mode 100644
index 0000000..8875e7a
--- /dev/null
+++ b/CNAME
@@ -0,0 +1 @@
+speice.io
diff --git a/Gemfile b/Gemfile
new file mode 100644
index 0000000..3031ef3
--- /dev/null
+++ b/Gemfile
@@ -0,0 +1,29 @@
+source "https://rubygems.org"
+
+# Hello! This is where you manage which Jekyll version is used to run.
+# When you want to use a different version, change it below, save the
+# file and run `bundle install`. Run Jekyll with `bundle exec`, like so:
+#
+#     bundle exec jekyll serve
+#
+# This will help ensure the proper Jekyll version is running.
+# Happy Jekylling!
+gem "jekyll", "~> 3.8.3"
+
+gem "texture"
+
+# If you want to use GitHub Pages, remove the "gem "jekyll"" above and
+# uncomment the line below. To upgrade, run `bundle update github-pages`.
+# gem "github-pages", group: :jekyll_plugins
+
+# If you have any plugins, put them here!
+group :jekyll_plugins do
+  gem "jekyll-feed", "~> 0.6"
+  gem "jekyll-remote-theme"
+end
+
+# Windows does not include zoneinfo files, so bundle the tzinfo-data gem
+gem "tzinfo-data", platforms: [:mingw, :mswin, :x64_mingw, :jruby]
+
+# Performance-booster for watching directories on Windows
+gem "wdm", "~> 0.1.0" if Gem.win_platform?
diff --git a/Gemfile.lock b/Gemfile.lock
new file mode 100644
index 0000000..310c738
--- /dev/null
+++ b/Gemfile.lock
@@ -0,0 +1,78 @@
+GEM
+  remote: https://rubygems.org/
+  specs:
+    addressable (2.7.0)
+      public_suffix (>= 2.0.2, < 5.0)
+    colorator (1.1.0)
+    concurrent-ruby (1.1.6)
+    em-websocket (0.5.1)
+      eventmachine (>= 0.12.9)
+      http_parser.rb (~> 0.6.0)
+    eventmachine (1.2.7)
+    ffi (1.12.2)
+    forwardable-extended (2.6.0)
+    http_parser.rb (0.6.0)
+    i18n (0.9.5)
+      concurrent-ruby (~> 1.0)
+    jekyll (3.8.6)
+      addressable (~> 2.4)
+      colorator (~> 1.0)
+      em-websocket (~> 0.5)
+      i18n (~> 0.7)
+      jekyll-sass-converter (~> 1.0)
+      jekyll-watch (~> 2.0)
+      kramdown (~> 1.14)
+      liquid (~> 4.0)
+      mercenary (~> 0.3.3)
+      pathutil (~> 0.9)
+      rouge (>= 1.7, < 4)
+      safe_yaml (~> 1.0)
+    jekyll-feed (0.13.0)
+      jekyll (>= 3.7, < 5.0)
+    jekyll-remote-theme (0.4.2)
+      addressable (~> 2.0)
+      jekyll (>= 3.5, < 5.0)
+      jekyll-sass-converter (>= 1.0, <= 3.0.0, != 2.0.0)
+      rubyzip (>= 1.3.0, < 3.0)
+    jekyll-sass-converter (1.5.2)
+      sass (~> 3.4)
+    jekyll-seo-tag (2.6.1)
+      jekyll (>= 3.3, < 5.0)
+    jekyll-watch (2.2.1)
+      listen (~> 3.0)
+    kramdown (1.17.0)
+    liquid (4.0.3)
+    listen (3.2.1)
+      rb-fsevent (~> 0.10, >= 0.10.3)
+      rb-inotify (~> 0.9, >= 0.9.10)
+    mercenary (0.3.6)
+    pathutil (0.16.2)
+      forwardable-extended (~> 2.6)
+    public_suffix (4.0.4)
+    rb-fsevent (0.10.3)
+    rb-inotify (0.10.1)
+      ffi (~> 1.0)
+    rouge (3.17.0)
+    rubyzip (2.3.0)
+    safe_yaml (1.0.5)
+    sass (3.7.4)
+      sass-listen (~> 4.0.0)
+    sass-listen (4.0.0)
+      rb-fsevent (~> 0.9, >= 0.9.4)
+      rb-inotify (~> 0.9, >= 0.9.7)
+    texture (0.3)
+      jekyll (~> 3.7)
+      jekyll-seo-tag (~> 2.1)
+
+PLATFORMS
+  ruby
+
+DEPENDENCIES
+  jekyll (~> 3.8.3)
+  jekyll-feed (~> 0.6)
+  jekyll-remote-theme
+  texture
+  tzinfo-data
+
+BUNDLED WITH
+   2.1.4
diff --git a/_config.yml b/_config.yml
new file mode 100644
index 0000000..9f9c8cd
--- /dev/null
+++ b/_config.yml
@@ -0,0 +1,44 @@
+# Welcome to Jekyll!
+#
+# This config file is meant for settings that affect your whole blog, values
+# which you are expected to set up once and rarely edit after that. If you find
+# yourself editing this file very often, consider using Jekyll's data files
+# feature for the data you need to update frequently.
+#
+# For technical reasons, this file is *NOT* reloaded automatically when you use
+# 'bundle exec jekyll serve'. If you change this file, please restart the server process.
+
+# Site settings
+# These are used to personalize your new site. If you look in the HTML files,
+# you will see them accessed via {{ site.title }}, {{ site.email }}, and so on.
+# You can create any custom variable you would like, and they will be accessible
+# in the templates via {{ site.myvariable }}.
+title: speice.io
+description: The Old Speice Guy
+email: bradlee@speice.io
+baseurl: "" # the subpath of your site, e.g. /blog
+url: "https://speice.io/" # the base hostname & protocol for your site, e.g. http://example.com
+github_username:  bspeice
+
+# Build settings
+markdown: kramdown
+# theme: texture
+remote_theme: thelehhman/texture
+plugins:
+  - jekyll-feed
+  - jekyll-remote-theme
+
+include: [_pages]
+permalink: /:year/:month/:title.html
+
+# Exclude from processing.
+# The following items will not be processed, by default. Create a custom list
+# to override the default setting.
+# exclude:
+#   - Gemfile
+#   - Gemfile.lock
+#   - node_modules
+#   - vendor/bundle/
+#   - vendor/cache/
+#   - vendor/gems/
+#   - vendor/ruby/
diff --git a/_includes/footer.html b/_includes/footer.html
new file mode 100644
index 0000000..4d3c143
--- /dev/null
+++ b/_includes/footer.html
@@ -0,0 +1,23 @@
+{% if page.layout == 'post' %}
+{% comment %}Thanks to https://www.bytedude.com/jekyll-previous-and-next-posts/{% endcomment %}
+<div class="container">
+    <hr>
+    <div class="post-nav">
+        <div>
+            {% if page.previous.url %}
+            <a href="{{page.previous.url}}">&laquo;&nbsp;{{page.previous.title}}</a>
+            {% endif %}
+        </div>
+        <div class="post-nav-next">
+            {% if page.next.url %}
+            <a href="{{page.next.url}}">{{page.next.title}}&nbsp;&raquo;</a>
+            {% endif %}
+        </div>
+    </div>
+</div>
+
+
+<script type="text/javascript"
+    src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.1/MathJax.js?config=TeX-AMS-MML_HTMLorMML">
+    </script>
+{% endif %}
\ No newline at end of file
diff --git a/_includes/head.html b/_includes/head.html
new file mode 100644
index 0000000..ec0f85d
--- /dev/null
+++ b/_includes/head.html
@@ -0,0 +1,7 @@
+<meta charset="UTF-8">
+<meta name="viewport" content="width=device-width, initial-scale=1.0">
+<meta http-equiv="X-UA-Compatible" content="ie=edge">
+<link rel="stylesheet" href="{{ "/assets/css/style.css" | relative_url }}">
+<link rel="stylesheet" href="{{ "/assets/css/fonts.css" | prepend: site.baseurl }}">
+<title>{{ page.title | default: site.title }}</title>
+{% seo %}
\ No newline at end of file
diff --git a/_includes/nav.html b/_includes/nav.html
new file mode 100644
index 0000000..14ca138
--- /dev/null
+++ b/_includes/nav.html
@@ -0,0 +1,7 @@
+<div class="navbar">
+    <a href="{{ "/" | prepend: site.baseurl }}">Home</a>
+    <span class="separator"></span>
+    <a href="{{ "/about/" | prepend: site.baseurl }}">About</a>
+    <span class="separator"></span>
+    <a href="{{ "/feed.xml" | prepend: site.baseurl }}">RSS</a>
+</div>
\ No newline at end of file
diff --git a/_includes/page_header.html b/_includes/page_header.html
new file mode 100644
index 0000000..e486090
--- /dev/null
+++ b/_includes/page_header.html
@@ -0,0 +1,15 @@
+<div class="container">
+    <h2>{{ site.title }}</h1>
+    <h1>{{ site.description }}</h2>
+    <ul class="social">
+        {%- if site.texture.social_links.github -%}
+            <a href="https://github.com/{{ site.texture.social_links.github }}"><li><i class="icon-github-circled"></i></li></a>
+        {%- endif -%}
+        {%- if site.texture.social_links.linkedIn -%}
+            <a href="https://linkedin.com/{{ site.texture.social_links.linkedIn }}"><li><i class="icon-linkedin-squared"></i></li></a>
+        {%- endif -%}
+        {%- if site.texture.social_links.twitter -%}
+            <a href="https://twitter.com/{{ site.texture.social_links.twitter }}"><li><i class="icon-twitter-squared"></i></li></a>
+        {%- endif -%}
+    </ul>
+</div>
\ No newline at end of file
diff --git a/_pages/about.md b/_pages/about.md
new file mode 100644
index 0000000..3f45159
--- /dev/null
+++ b/_pages/about.md
@@ -0,0 +1,13 @@
+---
+layout: page
+title: About
+permalink: /about/
+---
+
+Developer currently living in New York City.
+
+Best ways to get in contact:
+
+- Email: [bradlee@speice.io](mailto:bradlee@speice.io)
+- Github: [bspeice](https://github.com/bspeice)
+- LinkedIn: [bradleespeice](https://www.linkedin.com/in/bradleespeice/)
diff --git a/_posts/2018-05-28-hello.md b/_posts/2018-05-28-hello.md
new file mode 100644
index 0000000..f7c76c7
--- /dev/null
+++ b/_posts/2018-05-28-hello.md
@@ -0,0 +1,38 @@
+---
+layout: post
+title: "Hello!"
+description: ""
+category:
+tags: []
+---
+
+I'll do what I can to keep this short, there's plenty of other things we both should be doing right
+now.
+
+If you're here for the bread pics, and to marvel in some other culinary side projects, I've got you
+covered:
+
+![Saturday Bread]({{ "/assets/images/2018-05-28-bread.jpg" | absolute_url }})
+
+And no, I'm not posting pictures of earlier attempts that ended up turning into rocks in the oven.
+
+Okay, just one:
+
+![Bread as rock]({{ "/assets/images/2018-05-28-rocks.jpg" | absolute_url }})
+
+If you're here for keeping up with the man Bradlee Speice, got plenty of that too. Plus some
+up-coming super-nerdy posts about how I'm changing the world.
+
+And if you're not here for those things: don't have a lot for you, sorry. But you're welcome to let
+me know what needs to change.
+
+I'm looking forward to making this a place to talk about what's going on in life, I hope you'll
+stick it out with me. The best way to follow what's going on is on my [About](/about/) page, but if
+you want the joy of clicking links, here's a few good ones:
+
+- Email (people still use this?): [bradlee@speice.io](mailto:bradlee@speice.io)
+- Mastodon (nerd Twitter): [@bradlee](https://mastodon.social/@bradlee)
+- Chat (RiotIM): [@bspeice:matrix.com](https://matrix.to/#/@bspeice:matrix.com)
+- The comments section (not for people with sanity intact): ↓↓↓
+
+Thanks, and keep it amazing.
diff --git a/_posts/2018-06-25-dateutil-parser-to-rust.md b/_posts/2018-06-25-dateutil-parser-to-rust.md
new file mode 100644
index 0000000..7646f28
--- /dev/null
+++ b/_posts/2018-06-25-dateutil-parser-to-rust.md
@@ -0,0 +1,177 @@
+---
+layout: post
+title: "What I Learned: Porting Dateutil Parser to Rust"
+description: ""
+category:
+tags: [dtparse, rust]
+---
+
+Hi. I'm Bradlee.
+
+I've mostly been a lurker in Rust for a while, making a couple small contributions here and there.
+So launching [dtparse](https://github.com/bspeice/dtparse) feels like nice step towards becoming a
+functioning member of society. But not too much, because then you know people start asking you to
+pay bills, and ain't nobody got time for that.
+
+But I built dtparse, and you can read about my thoughts on the process. Or don't. I won't tell you
+what to do with your life (but you should totally keep reading).
+
+# Slow down, what?
+
+OK, fine, I guess I should start with _why_ someone would do this.
+
+[Dateutil](https://github.com/dateutil/dateutil) is a Python library for handling dates. The
+standard library support for time in Python is kinda dope, but there are a lot of extras that go
+into making it useful beyond just the [datetime](https://docs.python.org/3.6/library/datetime.html)
+module. `dateutil.parser` specifically is code to take all the super-weird time formats people come
+up with and turn them into something actually useful.
+
+Date/time parsing, it turns out, is just like everything else involving
+[computers](https://infiniteundo.com/post/25326999628/falsehoods-programmers-believe-about-time) and
+[time](https://infiniteundo.com/post/25509354022/more-falsehoods-programmers-believe-about-time): it
+feels like it shouldn't be that difficult to do, until you try to do it, and you realize that people
+suck and this is why
+[we can't we have nice things](https://zachholman.com/talk/utc-is-enough-for-everyone-right). But
+alas, we'll try and make contemporary art out of the rubble and give it a pretentious name like
+_Time_.
+
+![A gravel mound](/assets/images/2018-06-25-gravel-mound.jpg)
+
+> [Time](https://www.goodfreephotos.com/united-states/montana/elkhorn/remains-of-the-mining-operation-elkhorn.jpg.php)
+
+What makes `dateutil.parser` great is that there's single function with a single argument that
+drives what programmers interact with:
+[`parse(timestr)`](https://github.com/dateutil/dateutil/blob/6dde5d6298cfb81a4c594a38439462799ed2aef2/dateutil/parser/_parser.py#L1258).
+It takes in the time as a string, and gives you back a reasonable "look, this is the best anyone can
+possibly do to make sense of your input" value. It doesn't expect much of you.
+
+[And now it's in Rust.](https://github.com/bspeice/dtparse/blob/7d565d3a78876dbebd9711c9720364fe9eba7915/src/lib.rs#L1332)
+
+# Lost in Translation
+
+Having worked at a bulge-bracket bank watching Java programmers try to be Python programmers, I'm
+admittedly hesitant to publish Python code that's trying to be Rust. Interestingly, Rust code can
+actually do a great job of mimicking Python. It's certainly not idiomatic Rust, but I've had better
+experiences than
+[this guy](https://webcache.googleusercontent.com/search?q=cache:wkYMpktJtnUJ:https://jackstouffer.com/blog/porting_dateutil.html+&cd=3&hl=en&ct=clnk&gl=us)
+who attempted the same thing for D. These are the actual take-aways:
+
+When transcribing code, **stay as close to the original library as possible**. I'm talking about
+using the same variable names, same access patterns, the whole shebang. It's way too easy to make a
+couple of typos, and all of a sudden your code blows up in new and exciting ways. Having a reference
+manual for verbatim what your code should be means that you don't spend that long debugging
+complicated logic, you're more looking for typos.
+
+Also, **don't use nice Rust things like enums**. While
+[one time it worked out OK for me](https://github.com/bspeice/dtparse/blob/7d565d3a78876dbebd9711c9720364fe9eba7915/src/lib.rs#L88-L94),
+I also managed to shoot myself in the foot a couple times because `dateutil` stores AM/PM as a
+boolean and I mixed up which was true, and which was false (side note: AM is false, PM is true). In
+general, writing nice code _should not be a first-pass priority_ when you're just trying to recreate
+the same functionality.
+
+**Exceptions are a pain.** Make peace with it. Python code is just allowed to skip stack frames. So
+when a co-worker told me "Rust is getting try-catch syntax" I properly freaked out. Turns out
+[he's not quite right](https://github.com/rust-lang/rfcs/pull/243), and I'm OK with that. And while
+`dateutil` is pretty well-behaved about not skipping multiple stack frames,
+[130-line try-catch blocks](https://github.com/dateutil/dateutil/blob/16561fc99361979e88cccbd135393b06b1af7e90/dateutil/parser/_parser.py#L730-L865)
+take a while to verify.
+
+As another Python quirk, **be very careful about
+[long nested if-elif-else blocks](https://github.com/dateutil/dateutil/blob/16561fc99361979e88cccbd135393b06b1af7e90/dateutil/parser/_parser.py#L494-L568)**.
+I used to think that Python's whitespace was just there to get you to format your code correctly. I
+think that no longer. It's way too easy to close a block too early and have incredibly weird issues
+in the logic. Make sure you use an editor that displays indentation levels so you can keep things
+straight.
+
+**Rust macros are not free.** I originally had the
+[main test body](https://github.com/bspeice/dtparse/blob/b0e737f088eca8e83ab4244c6621a2797d247697/tests/compat.rs#L63-L217)
+wrapped up in a macro using [pyo3](https://github.com/PyO3/PyO3). It took two minutes to compile.
+After
+[moving things to a function](https://github.com/bspeice/dtparse/blob/e017018295c670e4b6c6ee1cfff00dbb233db47d/tests/compat.rs#L76-L205)
+compile times dropped down to ~5 seconds. Turns out 150 lines \* 100 tests = a lot of redundant code
+to be compiled. My new rule of thumb is that any macros longer than 10-15 lines are actually
+functions that need to be liberated, man.
+
+Finally, **I really miss list comprehensions and dictionary comprehensions.** As a quick comparison,
+see
+[this dateutil code](https://github.com/dateutil/dateutil/blob/16561fc99361979e88cccbd135393b06b1af7e90/dateutil/parser/_parser.py#L476)
+and
+[the implementation in Rust](https://github.com/bspeice/dtparse/blob/7d565d3a78876dbebd9711c9720364fe9eba7915/src/lib.rs#L619-L629).
+I probably wrote it wrong, and I'm sorry. Ultimately though, I hope that these comprehensions can be
+added through macros or syntax extensions. Either way, they're expressive, save typing, and are
+super-readable. Let's get more of that.
+
+# Using a young language
+
+Now, Rust is exciting and new, which means that there's opportunity to make a substantive impact. On
+more than one occasion though, I've had issues navigating the Rust ecosystem.
+
+What I'll call the "canonical library" is still being built. In Python, if you need datetime
+parsing, you use `dateutil`. If you want `decimal` types, it's already in the
+[standard library](https://docs.python.org/3.6/library/decimal.html). While I might've gotten away
+with `f64`, `dateutil` uses decimals, and I wanted to follow the principle of **staying as close to
+the original library as possible**. Thus began my quest to find a decimal library in Rust. What I
+quickly found was summarized in a comment:
+
+> Writing a BigDecimal is easy. Writing a _good_ BigDecimal is hard.
+>
+> [-cmr](https://github.com/rust-lang/rust/issues/8937#issuecomment-34582794)
+
+In practice, this means that there are at least [4](https://crates.io/crates/bigdecimal)
+[different](https://crates.io/crates/rust_decimal)
+[implementations](https://crates.io/crates/decimal) [available](https://crates.io/crates/decimate).
+And that's a lot of decisions to worry about when all I'm thinking is "why can't
+[calendar reform](https://en.wikipedia.org/wiki/Calendar_reform) be a thing" and I'm forced to dig
+through a [couple](https://github.com/rust-lang/rust/issues/8937#issuecomment-31661916)
+[different](https://github.com/rust-lang/rfcs/issues/334)
+[threads](https://github.com/rust-num/num/issues/8) to figure out if the library I'm look at is dead
+or just stable.
+
+And even when the "canonical library" exists, there's no guarantees that it will be well-maintained.
+[Chrono](https://github.com/chronotope/chrono) is the _de facto_ date/time library in Rust, and just
+released version 0.4.4 like two days ago. Meanwhile,
+[chrono-tz](https://github.com/chronotope/chrono-tz) appears to be dead in the water even though
+[there are people happy to help maintain it](https://github.com/chronotope/chrono-tz/issues/19). I
+know relatively little about it, but it appears that most of the release process is automated;
+keeping that up to date should be a no-brainer.
+
+## Trial Maintenance Policy
+
+Specifically given "maintenance" being an
+[oft-discussed](https://www.reddit.com/r/rust/comments/48540g/thoughts_on_initiators_vs_maintainers/)
+issue, I'm going to try out the following policy to keep things moving on `dtparse`:
+
+1. Issues/PRs needing _maintainer_ feedback will be updated at least weekly. I want to make sure
+   nobody's blocking on me.
+
+2. To keep issues/PRs needing _contributor_ feedback moving, I'm going to (kindly) ask the
+   contributor to check in after two weeks, and close the issue without resolution if I hear nothing
+   back after a month.
+
+The second point I think has the potential to be a bit controversial, so I'm happy to receive
+feedback on that. And if a contributor responds with "hey, still working on it, had a kid and I'm
+running on 30 seconds of sleep a night," then first: congratulations on sustaining human life. And
+second: I don't mind keeping those requests going indefinitely. I just want to try and balance
+keeping things moving with giving people the necessary time they need.
+
+I should also note that I'm still getting some best practices in place - CONTRIBUTING and
+CONTRIBUTORS files need to be added, as well as issue/PR templates. In progress. None of us are
+perfect.
+
+# Roadmap and Conclusion
+
+So if I've now built a `dateutil`-compatible parser, we're done, right? Of course not! That's not
+nearly ambitious enough.
+
+Ultimately, I'd love to have a library that's capable of parsing everything the Linux `date` command
+can do (and not `date` on OSX, because seriously, BSD coreutils are the worst). I know Rust has a
+coreutils rewrite going on, and `dtparse` would potentially be an interesting candidate since it
+doesn't bring in a lot of extra dependencies. [`humantime`](https://crates.io/crates/humantime)
+could help pick up some of the (current) slack in dtparse, so maybe we can share and care with each
+other?
+
+All in all, I'm mostly hoping that nobody's already done this and I haven't spent a bit over a month
+on redundant code. So if it exists, tell me. I need to know, but be nice about it, because I'm going
+to take it hard.
+
+And in the mean time, I'm looking forward to building more. Onwards.
diff --git a/_posts/2018-09-01-primitives-in-rust-are-weird.md b/_posts/2018-09-01-primitives-in-rust-are-weird.md
new file mode 100644
index 0000000..bcc8ae8
--- /dev/null
+++ b/_posts/2018-09-01-primitives-in-rust-are-weird.md
@@ -0,0 +1,323 @@
+---
+layout: post
+title: "Primitives in Rust are Weird (and Cool)"
+description: "but mostly weird."
+category:
+tags: [rust, c, java, python, x86]
+---
+
+I wrote a really small Rust program a while back because I was curious. I was 100% convinced it
+couldn't possibly run:
+
+```rust
+fn main() {
+    println!("{}", 8.to_string())
+}
+```
+
+And to my complete befuddlement, it compiled, ran, and produced a completely sensible output. The
+reason I was so surprised has to do with how Rust treats a special category of things I'm going to
+call _primitives_. In the current version of the Rust book, you'll see them referred to as
+[scalars][rust_scalar], and in older versions they'll be called [primitives][rust_primitive], but
+we're going to stick with the name _primitive_ for the time being. Explaining why this program is so
+cool requires talking about a number of other programming languages, and keeping a consistent
+terminology makes things easier.
+
+**You've been warned:** this is going to be a tedious post about a relatively minor issue that
+involves Java, Python, C, and x86 Assembly. And also me pretending like I know what I'm talking
+about with assembly.
+
+# Defining primitives (Java)
+
+The reason I'm using the name _primitive_ comes from how much of my life is Java right now. Spoiler
+alert: a lot of it. And for the most part I like Java, but I digress. In Java, there's a special
+name for some specific types of values:
+
+> ```
+> bool    char    byte
+> short   int     long
+> float   double
+> ```
+
+````
+
+They are referred to as [primitives][java_primitive]. And relative to the other bits of Java,
+they have two unique features. First, they don't have to worry about the
+[billion-dollar mistake](https://en.wikipedia.org/wiki/Tony_Hoare#Apologies_and_retractions);
+primitives in Java can never be `null`. Second: *they can't have instance methods*.
+Remember that Rust program from earlier? Java has no idea what to do with it:
+
+```java
+class Main {
+    public static void main(String[] args) {
+        int x = 8;
+        System.out.println(x.toString()); // Triggers a compiler error
+    }
+}
+````
+
+The error is:
+
+```
+Main.java:5: error: int cannot be dereferenced
+        System.out.println(x.toString());
+                            ^
+1 error
+```
+
+Specifically, Java's [`Object`](https://docs.oracle.com/javase/10/docs/api/java/lang/Object.html)
+and things that inherit from it are pointers under the hood, and we have to dereference them before
+the fields and methods they define can be used. In contrast, _primitive types are just values_ -
+there's nothing to be dereferenced. In memory, they're just a sequence of bits.
+
+If we really want, we can turn the `int` into an
+[`Integer`](https://docs.oracle.com/javase/10/docs/api/java/lang/Integer.html) and then dereference
+it, but it's a bit wasteful:
+
+```java
+class Main {
+    public static void main(String[] args) {
+        int x = 8;
+        Integer y = Integer.valueOf(x);
+        System.out.println(y.toString());
+    }
+}
+```
+
+This creates the variable `y` of type `Integer` (which inherits `Object`), and at run time we
+dereference `y` to locate the `toString()` function and call it. Rust obviously handles things a bit
+differently, but we have to dig into the low-level details to see it in action.
+
+# Low Level Handling of Primitives (C)
+
+We first need to build a foundation for reading and understanding the assembly code the final answer
+requires. Let's begin with showing how the `C` language (and your computer) thinks about "primitive"
+values in memory:
+
+```c
+void my_function(int num) {}
+
+int main() {
+    int x = 8;
+    my_function(x);
+}
+```
+
+The [compiler explorer](https://godbolt.org/z/lgNYcc) gives us an easy way of showing off the
+assembly-level code that's generated: <span style="font-size:.6em">whose output has been lightly
+edited</span>
+
+```nasm
+main:
+        push    rbp
+        mov     rbp, rsp
+        sub     rsp, 16
+
+        ; We assign the value `8` to `x` here
+        mov     DWORD PTR [rbp-4], 8
+
+        ; And copy the bits making up `x` to a location
+        ; `my_function` can access (`edi`)
+        mov     eax, DWORD PTR [rbp-4]
+        mov     edi, eax
+
+        ; Call `my_function` and give it control
+        call    my_function
+
+        mov     eax, 0
+        leave
+        ret
+
+my_function:
+        push    rbp
+        mov     rbp, rsp
+
+        ; Copy the bits out of the pre-determined location (`edi`)
+        ; to somewhere we can use
+        mov     DWORD PTR [rbp-4], edi
+        nop
+
+        pop     rbp
+        ret
+```
+
+At a really low level of memory, we're copying bits around using the [`mov`][x86_guide] instruction;
+nothing crazy. But to show how similar Rust is, let's take a look at our program translated from C
+to Rust:
+
+```rust
+fn my_function(x: i32) {}
+
+fn main() {
+    let x = 8;
+    my_function(x)
+}
+```
+
+And the assembly generated when we stick it in the
+[compiler explorer](https://godbolt.org/z/cAlmk0): <span style="font-size:.6em">again, lightly
+edited</span>
+
+```nasm
+example::main:
+  push rax
+
+  ; Look familiar? We're copying bits to a location for `my_function`
+  ; The compiler just optimizes out holding `x` in memory
+  mov edi, 8
+
+  ; Call `my_function` and give it control
+  call example::my_function
+
+  pop rax
+  ret
+
+example::my_function:
+  sub rsp, 4
+
+  ; And copying those bits again, just like in C
+  mov dword ptr [rsp], edi
+
+  add rsp, 4
+  ret
+```
+
+The generated Rust assembly is functionally pretty close to the C assembly: _When working with
+primitives, we're just dealing with bits in memory_.
+
+In Java we have to dereference a pointer to call its functions; in Rust, there's no pointer to
+dereference. So what exactly is going on with this `.to_string()` function call?
+
+# impl primitive (and Python)
+
+Now it's time to <strike>reveal my trap card</strike> show the revelation that tied all this
+together: _Rust has implementations for its primitive types._ That's right, `impl` blocks aren't
+only for `structs` and `traits`, primitives get them too. Don't believe me? Check out
+[u32](https://doc.rust-lang.org/std/primitive.u32.html),
+[f64](https://doc.rust-lang.org/std/primitive.f64.html) and
+[char](https://doc.rust-lang.org/std/primitive.char.html) as examples.
+
+But the really interesting bit is how Rust turns those `impl` blocks into assembly. Let's break out
+the [compiler explorer](https://godbolt.org/z/6LBEwq) once again:
+
+```rust
+pub fn main() {
+    8.to_string()
+}
+```
+
+And the interesting bits in the assembly: <span style="font-size:.6em">heavily trimmed down</span>
+
+```nasm
+example::main:
+  sub rsp, 24
+  mov rdi, rsp
+  lea rax, [rip + .Lbyte_str.u]
+  mov rsi, rax
+
+  ; Cool stuff right here
+  call <T as alloc::string::ToString>::to_string@PLT
+
+  mov rdi, rsp
+  call core::ptr::drop_in_place
+  add rsp, 24
+  ret
+```
+
+Now, this assembly is a bit more complicated, but here's the big revelation: **we're calling
+`to_string()` as a function that exists all on its own, and giving it the instance of `8`**. Instead
+of thinking of the value 8 as an instance of `u32` and then peeking in to find the location of the
+function we want to call (like Java), we have a function that exists outside of the instance and
+just give that function the value `8`.
+
+This is an incredibly technical detail, but the interesting idea I had was this: _if `to_string()`
+is a static function, can I refer to the unbound function and give it an instance?_
+
+Better explained in code (and a [compiler explorer](https://godbolt.org/z/fJY-gA) link because I
+seriously love this thing):
+
+```rust
+struct MyVal {
+    x: u32
+}
+
+impl MyVal {
+    fn to_string(&self) -> String {
+        self.x.to_string()
+    }
+}
+
+pub fn main() {
+    let my_val = MyVal { x: 8 };
+
+    // THESE ARE THE SAME
+    my_val.to_string();
+    MyVal::to_string(&my_val);
+}
+```
+
+Rust is totally fine "binding" the function call to the instance, and also as a static.
+
+MIND == BLOWN.
+
+Python does the same thing where I can both call functions bound to their instances and also call as
+an unbound function where I give it the instance:
+
+```python
+class MyClass():
+    x = 24
+
+    def my_function(self):
+        print(self.x)
+
+m = MyClass()
+
+m.my_function()
+MyClass.my_function(m)
+```
+
+And Python tries to make you _think_ that primitives can have instance methods...
+
+```python
+>>> dir(8)
+['__abs__', '__add__', '__and__', '__class__', '__cmp__', '__coerce__',
+'__delattr__', '__div__', '__divmod__', '__doc__', '__float__', '__floordiv__',
+...
+'__setattr__', '__sizeof__', '__str__', '__sub__', '__subclasshook__', '__truediv__',
+...]
+
+>>> # Theoretically `8.__str__()` should exist, but:
+
+>>> 8.__str__()
+  File "<stdin>", line 1
+    8.__str__()
+             ^
+SyntaxError: invalid syntax
+
+>>> # It will run if we assign it first though:
+>>> x = 8
+>>> x.__str__()
+'8'
+```
+
+...but in practice it's a bit complicated.
+
+So while Python handles binding instance methods in a way similar to Rust, it's still not able to
+run the example we started with.
+
+# Conclusion
+
+This was a super-roundabout way of demonstrating it, but the way Rust handles incredibly minor
+details like primitives leads to really cool effects. Primitives are optimized like C in how they
+have a space-efficient memory layout, yet the language still has a lot of features I enjoy in Python
+(like both instance and late binding).
+
+And when you put it together, there are areas where Rust does cool things nobody else can; as a
+quirky feature of Rust's type system, `8.to_string()` is actually valid code.
+
+Now go forth and fool your friends into thinking you know assembly. This is all I've got.
+
+[x86_guide]: http://www.cs.virginia.edu/~evans/cs216/guides/x86.html
+[java_primitive]: https://docs.oracle.com/javase/tutorial/java/nutsandbolts/datatypes.html
+[rust_scalar]: https://doc.rust-lang.org/book/second-edition/ch03-02-data-types.html#scalar-types
+[rust_primitive]: https://doc.rust-lang.org/book/first-edition/primitive-types.html
diff --git a/_posts/2018-09-15-isomorphic-apps.md b/_posts/2018-09-15-isomorphic-apps.md
new file mode 100644
index 0000000..abc0dcb
--- /dev/null
+++ b/_posts/2018-09-15-isomorphic-apps.md
@@ -0,0 +1,294 @@
+---
+layout: post
+title: "Isomorphic Desktop Apps with Rust"
+description: "Electron + WASM = ☣"
+category:
+tags: [rust, javascript, webassembly]
+---
+
+Forgive me, but this is going to be a bit of a schizophrenic post. I both despise Javascript and the
+modern ECMAScript ecosystem, and I'm stunned by its success doing some really cool things. It's
+[this duality](https://www.destroyallsoftware.com/talks/the-birth-and-death-of-javascript) that's
+led me to a couple of (very) late nights over the past weeks trying to reconcile myself as I
+bootstrap a simple desktop application.
+
+See, as much as
+[Webassembly isn't trying to replace Javascript](https://webassembly.org/docs/faq/#is-webassembly-trying-to-replace-javascript),
+**I want Javascript gone**. There are plenty of people who don't share my views, and they are
+probably nicer and more fun at parties. But I cringe every time "Webpack" is mentioned, and I think
+it's hilarious that the
+[language specification](https://ecma-international.org/publications/standards/Ecma-402.htm)
+dramatically outpaces anyone's
+[actual implementation](https://kangax.github.io/compat-table/es2016plus/). The answer to this
+conundrum is of course to recompile code from newer versions of the language to older versions _of
+the same language_ before running. At least [Babel] is a nice tongue-in-cheek reference.
+
+Yet for as much hate as [Electron] receives, it does a stunningly good job at solving a really hard
+problem: _how the hell do I put a button on the screen and react when the user clicks it_? GUI
+programming is hard, straight up. But if browsers are already able to run everywhere, why don't we
+take advantage of someone else solving the hard problems for us? I don't like that I have to use
+Javascript for it, but I really don't feel inclined to whip out good ol' [wxWidgets].
+
+Now there are other native solutions ([libui-rs], [conrod], [oh hey wxWdidgets again!][wxrust]), but
+those also have their own issues with distribution, styling, etc. With Electron, I can
+`yarn create electron-app my-app` and just get going, knowing that packaging/upgrades/etc. are built
+in.
+
+My question is: given recent innovations with WASM, _are we Electron yet_?
+
+No, not really.
+
+Instead, **what would it take to get to a point where we can skip Javascript in Electron apps?**
+
+# Setting the Stage
+
+Truth is, WASM/Webassembly is a pretty new technology and I'm a total beginner in this area. There
+may already be solutions to the issues I discuss, but I'm totally unaware of them, so I'm going to
+try and organize what I did manage to discover.
+
+I should also mention that the content and things I'm talking about here are not intended to be
+prescriptive, but more "if someone else is interested, what do we already know doesn't work?" _I
+expect everything in this post to be obsolete within two months._ Even over the course of writing
+this, [a separate blog post](https://mnt.io/2018/08/28/from-rust-to-beyond-the-asm-js-galaxy/) had
+to be modified because [upstream changes](https://github.com/WebAssembly/binaryen/pull/1642) broke a
+[Rust tool](https://github.com/rustwasm/wasm-bindgen/pull/787) the post tried to use. The post
+ultimately
+[got updated](https://mnt.io/2018/08/28/from-rust-to-beyond-the-asm-js-galaxy/#comment-477), **but
+all this happened within the span of a week.** Things are moving quickly.
+
+I'll also note that we're going to skip [asm.js] and [emscripten]. Truth be told, I couldn't get
+either of these to output anything, and so I'm just going to say
+[here be dragons.](https://en.wikipedia.org/wiki/Here_be_dragons) Everything I'm discussing here
+uses the `wasm32-unknown-unknown` target.
+
+The code that I _did_ get running is available
+[over here](https://github.com/speice-io/isomorphic-rust). Feel free to use it as a starting point,
+but I'm mostly including the link as a reference for the things that were attempted.
+
+# An Example Running Application
+
+So, I did _technically_ get a running application:
+
+![Electron app using WASM](/assets/images/2018-09-15-electron-percy-wasm.png)
+
+...which you can also try out if you want:
+
+```sh
+git clone https://github.com/speice-io/isomorphic-rust.git
+cd isomorphic_rust/percy
+yarn install && yarn start
+```
+
+...but I wouldn't really call it a "high quality" starting point to base future work on. It's mostly
+there to prove this is possible in the first place. And that's something to be proud of! There's a
+huge amount of engineering that went into showing a window with the text "It's alive!".
+
+There's also a lot of usability issues that prevent me from recommending anyone try Electron and
+WASM apps at the moment, and I think that's the more important thing to discuss.
+
+# Issue the First: Complicated Toolchains
+
+I quickly established that [wasm-bindgen] was necessary to "link" my Rust code to Javascript. At
+that point you've got an Electron app that starts an HTML page which ultimately fetches your WASM
+blob. To keep things simple, the goal was to package everything using [webpack] so that I could just
+load a `bundle.js` file on the page. That decision was to be the last thing that kinda worked in
+this process.
+
+The first issue
+[I ran into](https://www.reddit.com/r/rust/comments/98lpun/unable_to_load_wasm_for_electron_application/)
+while attempting to bundle everything via `webpack` is a detail in the WASM spec:
+
+> This function accepts a Response object, or a promise for one, and ... **[if > it] does not match
+> the `application/wasm` MIME type**, the returned promise will be rejected with a TypeError;
+>
+> [WebAssembly - Additional Web Embedding API](https://webassembly.org/docs/web/#additional-web-embedding-api)
+
+Specifically, if you try and load a WASM blob without the MIME type set, you'll get an error. On the
+web this isn't a huge issue, as the server can set MIME types when delivering the blob. With
+Electron, you're resolving things with a `file://` URL and thus can't control the MIME type:
+
+![TypeError: Incorrect response MIME type. Expected 'application/wasm'.](/assets/images/2018-09-15-incorrect-MIME-type.png)
+
+There are a couple of solutions depending on how far into the deep end you care to venture:
+
+- Embed a static file server in your Electron application
+- Use a [custom protocol](https://electronjs.org/docs/api/protocol) and custom protocol handler
+- Host your WASM blob on a website that you resolve at runtime
+
+But all these are pretty bad solutions and defeat the purpose of using WASM in the first place.
+Instead, my workaround was to
+[open a PR with `webpack`](https://github.com/webpack/webpack/issues/7918) and use regex to remove
+calls to `instantiateStreaming` in the
+[build script](https://github.com/speice-io/isomorphic-rust/blob/master/percy/build.sh#L21-L25):
+
+```sh
+cargo +nightly build --target=wasm32-unknown-unknown && \
+    wasm-bindgen "$WASM_DIR/debug/$WASM_NAME.wasm" --out-dir "$APP_DIR" --no-typescript && \
+    # Have to use --mode=development so we can patch out the call to instantiateStreaming
+    "$DIR/node_modules/webpack-cli/bin/cli.js" --mode=development "$APP_DIR/app_loader.js" -o "$APP_DIR/bundle.js" && \
+    sed -i 's/.*instantiateStreaming.*//g' "$APP_DIR/bundle.js"
+```
+
+Once that lands, the
+[build process](https://github.com/speice-io/isomorphic-rust/blob/master/percy_patched_webpack/build.sh#L24-L27)
+becomes much simpler:
+
+```sh
+
+cargo +nightly build --target=wasm32-unknown-unknown && \
+    wasm-bindgen "$WASM_DIR/debug/$WASM_NAME.wasm" --out-dir "$APP_DIR" --no-typescript && \
+    "$DIR/node_modules/webpack-cli/bin/cli.js" --mode=production "$APP_DIR/app_loader.js" -o "$APP_DIR/bundle.js"
+```
+
+But we're not done yet! After we compile Rust into WASM and link WASM to Javascript (via
+`wasm-bindgen` and `webpack`), we still have to make an Electron app. For this purpose I used a
+starter app from [Electron Forge], and then a
+[`prestart` script](https://github.com/speice-io/isomorphic-rust/blob/master/percy/package.json#L8)
+to actually handle starting the application.
+
+The
+[final toolchain](https://github.com/speice-io/isomorphic-rust/blob/master/percy/package.json#L8)
+looks something like this:
+
+- `yarn start` triggers the `prestart` script
+- `prestart` checks for missing tools (`wasm-bindgen-cli`, etc.) and then:
+  - Uses `cargo` to compile the Rust code into WASM
+  - Uses `wasm-bindgen` to link the WASM blob into a Javascript file with exported symbols
+  - Uses `webpack` to bundle the page start script with the Javascript we just generated
+    - Uses `babel` under the hood to compile the `wasm-bindgen` code down from ES6 into something
+      browser-compatible
+- The `start` script runs an Electron Forge handler to do some sanity checks
+- Electron actually starts
+
+...which is complicated. I think more work needs to be done to either build a high-quality starter
+app that can manage these steps, or another tool that "just handles" the complexity of linking a
+compiled WASM file into something the Electron browser can run.
+
+# Issue the Second: WASM tools in Rust
+
+For as much as I didn't enjoy the Javascript tooling needed to interface with Rust, the Rust-only
+bits aren't any better at the moment. I get it, a lot of projects are just starting off, and that
+leads to a fragmented ecosystem. Here's what I can recommend as a starting point:
+
+Don't check in your `Cargo.lock` files to version control. If there's a disagreement between the
+version of `wasm-bindgen-cli` you have installed and the `wasm-bindgen` you're compiling with in
+`Cargo.lock`, you get a nasty error:
+
+```
+it looks like the Rust project used to create this wasm file was linked against
+a different version of wasm-bindgen than this binary:
+
+rust wasm file: 0.2.21
+    this binary: 0.2.17
+
+Currently the bindgen format is unstable enough that these two version must
+exactly match, so it's required that these two version are kept in sync by
+either updating the wasm-bindgen dependency or this binary.
+```
+
+Not that I ever managed to run into this myself (_coughs nervously_).
+
+There are two projects attempting to be "application frameworks": [percy] and [yew]. Between those,
+I managed to get [two](https://github.com/speice-io/isomorphic-rust/tree/master/percy)
+[examples](https://github.com/speice-io/isomorphic-rust/tree/master/percy_patched_webpack) running
+using `percy`, but was unable to get an
+[example](https://github.com/speice-io/isomorphic-rust/tree/master/yew) running with `yew` because
+of issues with "missing modules" during the `webpack` step:
+
+```sh
+ERROR in ./dist/electron_yew_wasm_bg.wasm
+Module not found: Error: Can't resolve 'env' in '/home/bspeice/Development/isomorphic_rust/yew/dist'
+ @ ./dist/electron_yew_wasm_bg.wasm
+ @ ./dist/electron_yew_wasm.js
+ @ ./dist/app.js
+ @ ./dist/app_loader.js
+```
+
+If you want to work with the browser APIs directly, your choices are [percy-webapis] or [stdweb] (or
+eventually [web-sys]). See above for my `percy` examples, but when I tried
+[an example with `stdweb`](https://github.com/speice-io/isomorphic-rust/tree/master/stdweb), I was
+unable to get it running:
+
+```sh
+ERROR in ./dist/stdweb_electron_bg.wasm
+Module not found: Error: Can't resolve 'env' in '/home/bspeice/Development/isomorphic_rust/stdweb/dist'
+ @ ./dist/stdweb_electron_bg.wasm
+ @ ./dist/stdweb_electron.js
+ @ ./dist/app_loader.js
+```
+
+At this point I'm pretty convinced that `stdweb` is causing issues for `yew` as well, but can't
+prove it.
+
+I did also get a [minimal example](https://github.com/speice-io/isomorphic-rust/tree/master/minimal)
+running that doesn't depend on any tools besides `wasm-bindgen`. However, it requires manually
+writing "`extern C`" blocks for everything you need from the browser. Es no bueno.
+
+Finally, from a tools and platform view, there are two up-and-coming packages that should be
+mentioned: [js-sys] and [web-sys]. Their purpose is to be fundamental building blocks that exposes
+the browser's APIs to Rust. If you're interested in building an app framework from scratch, these
+should give you the most flexibility. I didn't touch either in my research, though I expect them to
+be essential long-term.
+
+So there's a lot in play from the Rust side of things, and it's just going to take some time to
+figure out what works and what doesn't.
+
+# Issue the Third: Known Unknowns
+
+Alright, so after I managed to get an application started, I stopped there. It was a good deal of
+effort to chain together even a proof of concept, and at this point I'd rather learn [Typescript]
+than keep trying to maintain an incredibly brittle pipeline. Blasphemy, I know...
+
+The important point I want to make is that there's a lot unknown about how any of this holds up
+outside proofs of concept. Things I didn't attempt:
+
+- Testing
+- Packaging
+- Updates
+- Literally anything related to why I wanted to use Electron in the first place
+
+# What it Would Take
+
+Much as I don't like Javascript, the tools are too shaky for me to recommend mixing Electron and
+WASM at the moment. There's a lot of innovation happening, so who knows? Someone might have an
+application in production a couple months from now. But at the moment, I'm personally going to stay
+away.
+
+Let's finish with a wishlist then - here are the things that I think need to happen before
+Electron/WASM/Rust can become a thing:
+
+- Webpack still needs some updates. The necessary work is in progress, but hasn't landed yet
+  ([#7983](https://github.com/webpack/webpack/pull/7983))
+- Browser API libraries (`web-sys` and `stdweb`) need to make sure they can support running in
+  Electron (see module error above)
+- Projects need to stabilize. There's talk of `stdweb` being turned into a Rust API
+  [on top of web-sys](https://github.com/rustwasm/team/issues/226#issuecomment-418475778), and percy
+  [moving to web-sys](https://github.com/chinedufn/percy/issues/24), both of which are big changes
+- `wasm-bindgen` is great, but still in the "move fast and break things" phase
+- A good "boilerplate" app would dramatically simplify the start-up costs;
+  [electron-react-boilerplate](https://github.com/chentsulin/electron-react-boilerplate) comes to
+  mind as a good project to imitate
+- More blog posts/contributors! I think Electron + Rust could be cool, but I have no idea what I'm
+  doing
+
+[wxwidgets]: https://wxwidgets.org/
+[libui-rs]: https://github.com/LeoTindall/libui-rs/
+[electron]: https://electronjs.org/
+[babel]: https://babeljs.io/
+[wxrust]: https://github.com/kenz-gelsoft/wxRust
+[wasm-bindgen]: https://github.com/rustwasm/wasm-bindgen
+[js-sys]: https://crates.io/crates/js-sys
+[percy-webapis]: https://crates.io/crates/percy-webapis
+[stdweb]: https://crates.io/crates/stdweb
+[web-sys]: https://crates.io/crates/web-sys
+[percy]: https://chinedufn.github.io/percy/
+[virtual-dom-rs]: https://crates.io/crates/virtual-dom-rs
+[yew]: https://github.com/DenisKolodin/yew
+[react]: https://reactjs.org/
+[elm]: http://elm-lang.org/
+[asm.js]: http://asmjs.org/
+[emscripten]: https://kripken.github.io/emscripten-site/
+[typescript]: https://www.typescriptlang.org/
+[electron forge]: https://electronforge.io/
+[conrod]: https://github.com/PistonDevelopers/conrod
+[webpack]: https://webpack.js.org/
diff --git a/_posts/2018-10-08-case-study-optimization.md b/_posts/2018-10-08-case-study-optimization.md
new file mode 100644
index 0000000..00f24ae
--- /dev/null
+++ b/_posts/2018-10-08-case-study-optimization.md
@@ -0,0 +1,168 @@
+---
+layout: post
+title: "A Case Study in Heaptrack"
+description: "...because you don't need no garbage collection"
+category:
+tags: []
+---
+
+One of my earliest conversations about programming went like this:
+
+> Programmers have it too easy these days. They should learn to develop in low memory environments
+> and be more efficient.
+>
+> -- My Father (paraphrased)
+
+...though it's not like the first code I wrote was for a
+[graphing calculator](https://education.ti.com/en/products/calculators/graphing-calculators/ti-84-plus-se)
+packing a whole 24KB of RAM. By the way, _what are you doing on my lawn?_
+
+The principle remains though: be efficient with the resources you have, because
+[what Intel giveth, Microsoft taketh away](http://exo-blog.blogspot.com/2007/09/what-intel-giveth-microsoft-taketh-away.html).
+My professional work is focused on this kind of efficiency; low-latency financial markets demand
+that you understand at a deep level _exactly_ what your code is doing. As I continue experimenting
+with Rust for personal projects, it's exciting to bring a utilitarian mindset with me: there's
+flexibility for the times I pretend to have a garbage collector, and flexibility for the times that
+I really care about how memory is used.
+
+This post is a (small) case study in how I went from the former to the latter. And ultimately, it's
+intended to be a starting toolkit to empower analysis of your own code.
+
+# Curiosity
+
+When I first started building the [dtparse] crate, my intention was to mirror as closely as possible
+the equivalent [Python library][dateutil]. Python, as you may know, is garbage collected. Very
+rarely is memory usage considered in Python, and I likewise wasn't paying too much attention when
+`dtparse` was first being built.
+
+This lackadaisical approach to memory works well enough, and I'm not planning on making `dtparse`
+hyper-efficient. But every so often, I've wondered: "what exactly is going on in memory?" With the
+advent of Rust 1.28 and the
+[Global Allocator trait](https://doc.rust-lang.org/std/alloc/trait.GlobalAlloc.html), I had a really
+great idea: _build a custom allocator that allows you to track your own allocations._ That way, you
+can do things like writing tests for both correct results and correct memory usage. I gave it a
+[shot][qadapt], but learned very quickly: **never write your own allocator**. It went from "fun
+weekend project" to "I have literally no idea what my computer is doing" at breakneck speed.
+
+Instead, I'll highlight a separate path I took to make sense of my memory usage: [heaptrack].
+
+# Turning on the System Allocator
+
+This is the hardest part of the post. Because Rust uses
+[its own allocator](https://github.com/rust-lang/rust/pull/27400#issue-41256384) by default,
+`heaptrack` is unable to properly record unmodified Rust code. To remedy this, we'll make use of the
+`#[global_allocator]` attribute.
+
+Specifically, in `lib.rs` or `main.rs`, add this:
+
+```rust
+use std::alloc::System;
+
+#[global_allocator]
+static GLOBAL: System = System;
+```
+
+...and that's it. Everything else comes essentially for free.
+
+# Running heaptrack
+
+Assuming you've installed heaptrack <span style="font-size: .6em;">(Homebrew in Mac, package manager
+in Linux, ??? in Windows)</span>, all that's left is to fire up your application:
+
+```
+heaptrack my_application
+```
+
+It's that easy. After the program finishes, you'll see a file in your local directory with a name
+like `heaptrack.my_appplication.XXXX.gz`. If you load that up in `heaptrack_gui`, you'll see
+something like this:
+
+![heaptrack](/assets/images/2018-10-heaptrack/heaptrack-before.png)
+
+---
+
+And even these pretty colors:
+
+![pretty colors](/assets/images/2018-10-heaptrack/heaptrack-flamegraph.png)
+
+# Reading Flamegraphs
+
+To make sense of our memory usage, we're going to focus on that last picture - it's called a
+["flamegraph"](http://www.brendangregg.com/flamegraphs.html). These charts are typically used to
+show how much time your program spends executing each function, but they're used here to show how
+much memory was allocated during those functions instead.
+
+For example, we can see that all executions happened during the `main` function:
+
+![allocations in main](/assets/images/2018-10-heaptrack/heaptrack-main-colorized.png)
+
+...and within that, all allocations happened during `dtparse::parse`:
+
+![allocations in dtparse](/assets/images/2018-10-heaptrack/heaptrack-dtparse-colorized.png)
+
+...and within _that_, allocations happened in two different places:
+
+![allocations in parseinfo](/assets/images/2018-10-heaptrack/heaptrack-parseinfo-colorized.png)
+
+Now I apologize that it's hard to see, but there's one area specifically that stuck out as an issue:
+**what the heck is the `Default` thing doing?**
+
+![pretty colors](/assets/images/2018-10-heaptrack/heaptrack-flamegraph-default.png)
+
+# Optimizing dtparse
+
+See, I knew that there were some allocations during calls to `dtparse::parse`, but I was totally
+wrong about where the bulk of allocations occurred in my program. Let me post the code and see if
+you can spot the mistake:
+
+```rust
+/// Main entry point for using `dtparse`.
+pub fn parse(timestr: &str) -> ParseResult<(NaiveDateTime, Option<FixedOffset>)> {
+    let res = Parser::default().parse(
+        timestr, None, None, false, false,
+        None, false,
+        &HashMap::new(),
+    )?;
+
+    Ok((res.0, res.1))
+}
+```
+
+> [dtparse](https://github.com/bspeice/dtparse/blob/4d7c5dd99572823fa4a390b483c38ab020a2172f/src/lib.rs#L1286)
+
+---
+
+Because `Parser::parse` requires a mutable reference to itself, I have to create a new
+`Parser::default` every time it receives a string. This is excessive! We'd rather have an immutable
+parser that can be re-used, and avoid allocating memory in the first place.
+
+Armed with that information, I put some time in to
+[make the parser immutable](https://github.com/bspeice/dtparse/commit/741afa34517d6bc1155713bbc5d66905fea13fad#diff-b4aea3e418ccdb71239b96952d9cddb6).
+Now that I can re-use the same parser over and over, the allocations disappear:
+
+![allocations cleaned up](/assets/images/2018-10-heaptrack/heaptrack-flamegraph-after.png)
+
+In total, we went from requiring 2 MB of memory in
+[version 1.0.2](https://crates.io/crates/dtparse/1.0.2):
+
+![memory before](/assets/images/2018-10-heaptrack/heaptrack-closeup.png)
+
+All the way down to 300KB in [version 1.0.3](https://crates.io/crates/dtparse/1.0.3):
+
+![memory after](/assets/images/2018-10-heaptrack/heaptrack-closeup-after.png)
+
+# Conclusion
+
+In the end, you don't need to write a custom allocator to be efficient with memory, great tools
+already exist to help you understand what your program is doing.
+
+**Use them.**
+
+Given that [Moore's Law](https://en.wikipedia.org/wiki/Moore%27s_law) is
+[dead](https://www.technologyreview.com/s/601441/moores-law-is-dead-now-what/), we've all got to do
+our part to take back what Microsoft stole.
+
+[dtparse]: https://crates.io/crates/dtparse
+[dateutil]: https://github.com/dateutil/dateutil
+[heaptrack]: https://github.com/KDE/heaptrack
+[qadapt]: https://crates.io/crates/qadapt
diff --git a/_posts/2018-12-04-what-small-business-really-means.md b/_posts/2018-12-04-what-small-business-really-means.md
new file mode 100644
index 0000000..dce374d
--- /dev/null
+++ b/_posts/2018-12-04-what-small-business-really-means.md
@@ -0,0 +1,34 @@
+---
+layout: post
+title: 'More "What Companies Really Mean"'
+description: 'when they ask "Why should we hire you?"'
+category:
+tags: []
+---
+
+I recently stumbled across a phenomenal small article entitled
+[What Startups Really Mean By "Why Should We Hire You?"](https://angel.co/blog/what-startups-really-mean-by-why-should-we-hire-you).
+Having been interviewed by smaller companies (though not exactly startups), the questions and
+subtexts are the same. There's often a question behind the question that you're actually trying to
+answer, and I wish I spotted the nuance earlier in my career.
+
+Let me also make note of one more question/euphemism I've come across:
+
+# How do you feel about Production Support?
+
+**Translation**: _We're a fairly small team, and when things break on an evening/weekend/Christmas
+Day, can we call on you to be there?_
+
+I've met decidedly few people in my life who truly enjoy the "ops" side of "devops". They're
+incredibly good at taking an impossible problem, pre-existing knowledge of arcane arts, and turning
+that into a functioning system at the end. And if they all left for lunch, we probably wouldn't make
+it out the door before the zombie apocalypse.
+
+Larger organizations (in my experience, 500+ person organizations) have the luxury of hiring people
+who either enjoy that, or play along nicely enough that our systems keep working.
+
+Small teams have no such luck. If you're interviewing at a small company, especially as a "data
+scientist" or other somesuch position, be aware that systems can and do spontaneously combust at the
+most inopportune moments.
+
+**Terrible-but-popular answers include**: _It's a part of the job, and I'm happy to contribute._
diff --git a/_posts/2018-12-15-allocation-safety.md b/_posts/2018-12-15-allocation-safety.md
new file mode 100644
index 0000000..7892856
--- /dev/null
+++ b/_posts/2018-12-15-allocation-safety.md
@@ -0,0 +1,218 @@
+---
+layout: post
+title: "QADAPT - debug_assert! for your memory usage"
+description: "...and why you want an allocator that goes 💥."
+category:
+tags: []
+---
+
+I think it's part of the human condition to ignore perfectly good advice when it comes our way. A
+bit over a month ago, I was dispensing sage wisdom for the ages:
+
+> I had a really great idea: build a custom allocator that allows you to track your own allocations.
+> I gave it a shot, but learned very quickly: **never write your own allocator.**
+>
+> -- [me](/2018/10/case-study-optimization.html)
+
+I proceeded to ignore it, because we never really learn from our mistakes.
+
+There's another part of the human condition that derives joy from seeing things explode.
+
+<iframe src="https://giphy.com/embed/YA6dmVW0gfIw8" width="480" height="336" frameBorder="0"></iframe>
+
+And _that's_ the part I'm going to focus on.
+
+# Why an Allocator?
+
+So why, after complaining about allocators, would I still want to write one? There are three reasons
+for that:
+
+1. Allocation/dropping is slow
+2. It's difficult to know exactly when Rust will allocate or drop, especially when using code that
+   you did not write
+3. I want automated tools to verify behavior, instead of inspecting by hand
+
+When I say "slow," it's important to define the terms. If you're writing web applications, you'll
+spend orders of magnitude more time waiting for the database than you will the allocator. However,
+there's still plenty of code where micro- or nano-seconds matter; think
+[finance](https://www.youtube.com/watch?v=NH1Tta7purM),
+[real-time audio](https://www.reddit.com/r/rust/comments/9hg7yj/synthesizer_progress_update/e6c291f),
+[self-driving cars](https://polysync.io/blog/session-types-for-hearty-codecs/), and
+[networking](https://carllerche.github.io/bytes/bytes/index.html). In these situations it's simply
+unacceptable for you to spend time doing things that are not your program, and waiting on the
+allocator is not cool.
+
+As I continue to learn Rust, it's difficult for me to predict where exactly allocations will happen.
+So, I propose we play a quick trivia game: **Does this code invoke the allocator?**
+
+## Example 1
+
+```rust
+fn my_function() {
+    let v: Vec<u8> = Vec::new();
+}
+```
+
+**No**: Rust [knows how big](https://doc.rust-lang.org/std/mem/fn.size_of.html) the `Vec` type is,
+and reserves a fixed amount of memory on the stack for the `v` vector. However, if we wanted to
+reserve extra space (using `Vec::with_capacity`) the allocator would get invoked.
+
+## Example 2
+
+```rust
+fn my_function() {
+    let v: Box<Vec<u8>> = Box::new(Vec::new());
+}
+```
+
+**Yes**: Because Boxes allow us to work with things that are of unknown size, it has to allocate on
+the heap. While the `Box` is unnecessary in this snippet (release builds will optimize out the
+allocation), reserving heap space more generally is needed to pass a dynamically sized type to
+another function.
+
+## Example 3
+
+```rust
+fn my_function(v: Vec<u8>) {
+    v.push(5);
+}
+```
+
+**Maybe**: Depending on whether the Vector we were given has space available, we may or may not
+allocate. Especially when dealing with code that you did not author, it's difficult to verify that
+things behave as you expect them to.
+
+# Blowing Things Up
+
+So, how exactly does QADAPT solve these problems? **Whenever an allocation or drop occurs in code
+marked allocation-safe, QADAPT triggers a thread panic.** We don't want to let the program continue
+as if nothing strange happened, _we want things to explode_.
+
+However, you don't want code to panic in production because of circumstances you didn't predict.
+Just like [`debug_assert!`](https://doc.rust-lang.org/std/macro.debug_assert.html), **QADAPT will
+strip out its own code when building in release mode to guarantee no panics and no performance
+impact.**
+
+Finally, there are three ways to have QADAPT check that your code will not invoke the allocator:
+
+## Using a procedural macro
+
+The easiest method, watch an entire function for allocator invocation:
+
+```rust
+use qadapt::no_alloc;
+use qadapt::QADAPT;
+
+#[global_allocator]
+static Q: QADAPT = QADAPT;
+
+#[no_alloc]
+fn push_vec(v: &mut Vec<u8>) {
+    // This triggers a panic if v.len() == v.capacity()
+    v.push(5);
+}
+
+fn main() {
+    let v = Vec::with_capacity(1);
+
+    // This will *not* trigger a panic
+    push_vec(&v);
+
+    // This *will* trigger a panic
+    push_vec(&v);
+}
+```
+
+## Using a regular macro
+
+For times when you need more precision:
+
+```rust
+use qadapt::assert_no_alloc;
+use qadapt::QADAPT;
+
+#[global_allocator]
+static Q: QADAPT = QADAPT;
+
+fn main() {
+    let v = Vec::with_capacity(1);
+
+    // No allocations here, we already have space reserved
+    assert_no_alloc!(v.push(5));
+
+    // Even though we remove an item, it doesn't trigger a drop
+    // because it's a scalar. If it were a `Box<_>` type,
+    // a drop would trigger.
+    assert_no_alloc!({
+        v.pop().unwrap();
+    });
+}
+```
+
+## Using function calls
+
+Both the most precise and most tedious:
+
+```rust
+use qadapt::enter_protected;
+use qadapt::exit_protected;
+use qadapt::QADAPT;
+
+#[global_allocator]
+static Q: QADAPT = QADAPT;
+
+fn main() {
+    // This triggers an allocation (on non-release builds)
+    let v = Vec::with_capacity(1);
+
+    enter_protected();
+    // This does not trigger an allocation because we've reserved size
+    v.push(0);
+    exit_protected();
+
+    // This triggers an allocation because we ran out of size,
+    // but doesn't panic because we're no longer protected.
+    v.push(1);
+}
+```
+
+## Caveats
+
+It's important to point out that QADAPT code is synchronous, so please be careful when mixing in
+asynchronous functions:
+
+```rust
+use futures::future::Future;
+use futures::future::ok;
+
+#[no_alloc]
+fn async_capacity() -> impl Future<Item=Vec<u8>, Error=()> {
+    ok(12).and_then(|e| Ok(Vec::with_capacity(e)))
+}
+
+fn main() {
+    // This doesn't trigger a panic because the `and_then` closure
+    // wasn't run during the function call.
+    async_capacity();
+
+    // Still no panic
+    assert_no_alloc!(async_capacity());
+
+    // This will panic because the allocation happens during `unwrap`
+    // in the `assert_no_alloc!` macro
+    assert_no_alloc!(async_capacity().poll().unwrap());
+}
+```
+
+# Conclusion
+
+While there's a lot more to writing high-performance code than managing your usage of the allocator,
+it's critical that you do use the allocator correctly. QADAPT will verify that your code is doing
+what you expect. It's usable even on stable Rust from version 1.31 onward, which isn't the case for
+most allocators. Version 1.0 was released today, and you can check it out over at
+[crates.io](https://crates.io/crates/qadapt) or on [github](https://github.com/bspeice/qadapt).
+
+I'm hoping to write more about high-performance Rust in the future, and I expect that QADAPT will
+help guide that. If there are topics you're interested in, let me know in the comments below!
+
+[qadapt]: https://crates.io/crates/qadapt
diff --git a/_posts/2019-02-04-understanding-allocations-in-rust.md b/_posts/2019-02-04-understanding-allocations-in-rust.md
new file mode 100644
index 0000000..48b9df6
--- /dev/null
+++ b/_posts/2019-02-04-understanding-allocations-in-rust.md
@@ -0,0 +1,113 @@
+---
+layout: post
+title: "Allocations in Rust"
+description: "An introduction to the memory model."
+category:
+tags: [rust, understanding-allocations]
+---
+
+There's an alchemy of distilling complex technical topics into articles and videos that change the
+way programmers see the tools they interact with on a regular basis. I knew what a linker was, but
+there's a staggering amount of complexity in between
+[the OS and `main()`](https://www.youtube.com/watch?v=dOfucXtyEsU). Rust programmers use the
+[`Box`](https://doc.rust-lang.org/stable/std/boxed/struct.Box.html) type all the time, but there's a
+rich history of the Rust language itself wrapped up in
+[how special it is](https://manishearth.github.io/blog/2017/01/10/rust-tidbits-box-is-special/).
+
+In a similar vein, this series attempts to look at code and understand how memory is used; the
+complex choreography of operating system, compiler, and program that frees you to focus on
+functionality far-flung from frivolous book-keeping. The Rust compiler relieves a great deal of the
+cognitive burden associated with memory management, but we're going to step into its world for a
+while.
+
+Let's learn a bit about memory in Rust.
+
+# Table of Contents
+
+This series is intended as both learning and reference material; we'll work through the different
+memory types Rust uses, and explain the implications of each. Ultimately, a summary will be provided
+as a cheat sheet for easy future reference. To that end, a table of contents is in order:
+
+- Foreword
+- [Global Memory Usage: The Whole World](/2019/02/the-whole-world.html)
+- [Fixed Memory: Stacking Up](/2019/02/stacking-up.html)
+- [Dynamic Memory: A Heaping Helping](/2019/02/a-heaping-helping.html)
+- [Compiler Optimizations: What It's Done For You Lately](/2019/02/compiler-optimizations.html)
+- [Summary: What Are the Rules?](/2019/02/summary.html)
+
+# Foreword
+
+Rust's three defining features of
+[Performance, Reliability, and Productivity](https://www.rust-lang.org/) are all driven to a great
+degree by the how the Rust compiler understands memory usage. Unlike managed memory languages (Java,
+Python), Rust
+[doesn't really](https://words.steveklabnik.com/borrow-checking-escape-analysis-and-the-generational-hypothesis)
+garbage collect; instead, it uses an
+[ownership](https://doc.rust-lang.org/book/ch04-01-what-is-ownership.html) system to reason about
+how long objects will last in your program. In some cases, if the life of an object is fairly
+transient, Rust can make use of a very fast region called the "stack." When that's not possible,
+Rust uses
+[dynamic (heap) memory](https://en.wikipedia.org/wiki/Memory_management#Dynamic_memory_allocation)
+and the ownership system to ensure you can't accidentally corrupt memory. It's not as fast, but it
+is important to have available.
+
+That said, there are specific situations in Rust where you'd never need to worry about the
+stack/heap distinction! If you:
+
+1. Never use `unsafe`
+2. Never use `#![feature(alloc)]` or the [`alloc` crate](https://doc.rust-lang.org/alloc/index.html)
+
+...then it's not possible for you to use dynamic memory!
+
+For some uses of Rust, typically embedded devices, these constraints are OK. They have very limited
+memory, and the program binary size itself may significantly affect what's available! There's no
+operating system able to manage this
+["virtual memory"](https://en.wikipedia.org/wiki/Virtual_memory) thing, but that's not an issue
+because there's only one running application. The
+[embedonomicon](https://docs.rust-embedded.org/embedonomicon/preface.html) is ever in mind, and
+interacting with the "real world" through extra peripherals is accomplished by reading and writing
+to [specific memory addresses](https://bob.cs.sonoma.edu/IntroCompOrg-RPi/sec-gpio-mem.html).
+
+Most Rust programs find these requirements overly burdensome though. C++ developers would struggle
+without access to [`std::vector`](https://en.cppreference.com/w/cpp/container/vector) (except those
+hardcore no-STL people), and Rust developers would struggle without
+[`std::vec`](https://doc.rust-lang.org/std/vec/struct.Vec.html). But with the constraints above,
+`std::vec` is actually a part of the
+[`alloc` crate](https://doc.rust-lang.org/alloc/vec/struct.Vec.html), and thus off-limits. `Box`,
+`Rc`, etc., are also unusable for the same reason.
+
+Whether writing code for embedded devices or not, the important thing in both situations is how much
+you know _before your application starts_ about what its memory usage will look like. In embedded
+devices, there's a small, fixed amount of memory to use. In a browser, you have no idea how large
+[google.com](https://www.google.com)'s home page is until you start trying to download it. The
+compiler uses this knowledge (or lack thereof) to optimize how memory is used; put simply, your code
+runs faster when the compiler can guarantee exactly how much memory your program needs while it's
+running. This series is all about understanding how the compiler reasons about your program, with an
+emphasis on the implications for performance.
+
+Now let's address some conditions and caveats before going much further:
+
+- We'll focus on "safe" Rust only; `unsafe` lets you use platform-specific allocation API's
+  ([`malloc`](https://www.tutorialspoint.com/c_standard_library/c_function_malloc.htm)) that we'll
+  ignore.
+- We'll assume a "debug" build of Rust code (what you get with `cargo run` and `cargo test`) and
+  address (pun intended) release mode at the end (`cargo run --release` and `cargo test --release`).
+- All content will be run using Rust 1.32, as that's the highest currently supported in the
+  [Compiler Exporer](https://godbolt.org/). As such, we'll avoid upcoming innovations like
+  [compile-time evaluation of `static`](https://github.com/rust-lang/rfcs/blob/master/text/0911-const-fn.md)
+  that are available in nightly.
+- Because of the nature of the content, being able to read assembly is helpful. We'll keep it
+  simple, but I [found](https://stackoverflow.com/a/4584131/1454178) a
+  [refresher](https://stackoverflow.com/a/26026278/1454178) on the `push` and `pop`
+  [instructions](http://www.cs.virginia.edu/~evans/cs216/guides/x86.html) was helpful while writing
+  this.
+- I've tried to be precise in saying only what I can prove using the tools (ASM, docs) that are
+  available, but if there's something said in error it will be corrected expeditiously. Please let
+  me know at [bradlee@speice.io](mailto:bradlee@speice.io)
+
+Finally, I'll do what I can to flag potential future changes but the Rust docs have a notice worth
+repeating:
+
+> Rust does not currently have a rigorously and formally defined memory model.
+>
+> -- [the docs](https://doc.rust-lang.org/std/ptr/fn.read_volatile.html)
diff --git a/posts/2019/02/the-whole-world.mdx b/_posts/2019-02-05-the-whole-world.md
similarity index 98%
rename from posts/2019/02/the-whole-world.mdx
rename to _posts/2019-02-05-the-whole-world.md
index 28e4590..ef3bc47 100644
--- a/posts/2019/02/the-whole-world.mdx
+++ b/_posts/2019-02-05-the-whole-world.md
@@ -1,14 +1,11 @@
 ---
+layout: post
 title: "Global Memory Usage: The Whole World"
-description: Static considered slightly less harmful.
-published: 2019-02-05
+description: "Static considered slightly less harmful."
+category:
+tags: [rust, understanding-allocations]
 ---
 
-import Blog from "../../LayoutBlog";
-export default Blog(frontmatter);
-
-$m_at^h$
-
 The first memory type we'll look at is pretty special: when Rust can prove that a _value_ is fixed
 for the life of a program (`const`), and when a _reference_ is unique for the life of a program
 (`static` as a declaration, not
diff --git a/_posts/2019-02-06-stacking-up.md b/_posts/2019-02-06-stacking-up.md
new file mode 100644
index 0000000..b060ea1
--- /dev/null
+++ b/_posts/2019-02-06-stacking-up.md
@@ -0,0 +1,601 @@
+---
+layout: post
+title: "Fixed Memory: Stacking Up"
+description: "We don't need no allocator."
+category:
+tags: [rust, understanding-allocations]
+---
+
+`const` and `static` are perfectly fine, but it's relatively rare that we know at compile-time about
+either values or references that will be the same for the duration of our program. Put another way,
+it's not often the case that either you or your compiler knows how much memory your entire program
+will ever need.
+
+However, there are still some optimizations the compiler can do if it knows how much memory
+individual functions will need. Specifically, the compiler can make use of "stack" memory (as
+opposed to "heap" memory) which can be managed far faster in both the short- and long-term. When
+requesting memory, the [`push` instruction](http://www.cs.virginia.edu/~evans/cs216/guides/x86.html)
+can typically complete in [1 or 2 cycles](https://agner.org/optimize/instruction_tables.ods) (<1
+nanosecond on modern CPUs). Contrast that to heap memory which requires an allocator (specialized
+software to track what memory is in use) to reserve space. When you're finished with stack memory,
+the `pop` instruction runs in 1-3 cycles, as opposed to an allocator needing to worry about memory
+fragmentation and other issues with the heap. All sorts of incredibly sophisticated techniques have
+been used to design allocators:
+
+- [Garbage Collection](<https://en.wikipedia.org/wiki/Garbage_collection_(computer_science)>)
+  strategies like [Tracing](https://en.wikipedia.org/wiki/Tracing_garbage_collection) (used in
+  [Java](https://www.oracle.com/technetwork/java/javase/tech/g1-intro-jsp-135488.html)) and
+  [Reference counting](https://en.wikipedia.org/wiki/Reference_counting) (used in
+  [Python](https://docs.python.org/3/extending/extending.html#reference-counts))
+- Thread-local structures to prevent locking the allocator in
+  [tcmalloc](https://jamesgolick.com/2013/5/19/how-tcmalloc-works.html)
+- Arena structures used in [jemalloc](http://jemalloc.net/), which
+  [until recently](https://blog.rust-lang.org/2019/01/17/Rust-1.32.0.html#jemalloc-is-removed-by-default)
+  was the primary allocator for Rust programs!
+
+But no matter how fast your allocator is, the principle remains: the fastest allocator is the one
+you never use. As such, we're not going to discuss how exactly the
+[`push` and `pop` instructions work](http://www.cs.virginia.edu/~evans/cs216/guides/x86.html), but
+we'll focus instead on the conditions that enable the Rust compiler to use faster stack-based
+allocation for variables.
+
+So, **how do we know when Rust will or will not use stack allocation for objects we create?**
+Looking at other languages, it's often easy to delineate between stack and heap. Managed memory
+languages (Python, Java,
+[C#](https://blogs.msdn.microsoft.com/ericlippert/2010/09/30/the-truth-about-value-types/)) place
+everything on the heap. JIT compilers ([PyPy](https://www.pypy.org/),
+[HotSpot](https://www.oracle.com/technetwork/java/javase/tech/index-jsp-136373.html)) may optimize
+some heap allocations away, but you should never assume it will happen. C makes things clear with
+calls to special functions (like [malloc(3)](https://linux.die.net/man/3/malloc)) needed to access
+heap memory. Old C++ has the [`new`](https://stackoverflow.com/a/655086/1454178) keyword, though
+modern C++/C++11 is more complicated with [RAII](https://en.cppreference.com/w/cpp/language/raii).
+
+For Rust, we can summarize as follows: **stack allocation will be used for everything that doesn't
+involve "smart pointers" and collections**. We'll skip over a precise definition of the term "smart
+pointer" for now, and instead discuss what we should watch for to understand when stack and heap
+memory regions are used:
+
+1. Stack manipulation instructions (`push`, `pop`, and `add`/`sub` of the `rsp` register) indicate
+   allocation of stack memory:
+
+   ```rust
+   pub fn stack_alloc(x: u32) -> u32 {
+       // Space for `y` is allocated by subtracting from `rsp`,
+       // and then populated
+       let y = [1u8, 2, 3, 4];
+       // Space for `y` is deallocated by adding back to `rsp`
+       x
+   }
+   ```
+
+   -- [Compiler Explorer](https://godbolt.org/z/5WSgc9)
+
+2. Tracking when exactly heap allocation calls occur is difficult. It's typically easier to watch
+   for `call core::ptr::real_drop_in_place`, and infer that a heap allocation happened in the recent
+   past:
+
+   ```rust
+   pub fn heap_alloc(x: usize) -> usize {
+       // Space for elements in a vector has to be allocated
+       // on the heap, and is then de-allocated once the
+       // vector goes out of scope
+       let y: Vec<u8> = Vec::with_capacity(x);
+       x
+   }
+   ```
+
+   -- [Compiler Explorer](https://godbolt.org/z/epfgoQ) (`real_drop_in_place` happens on line 1317)
+   <span style="font-size: .8em">Note: While the
+   [`Drop` trait](https://doc.rust-lang.org/std/ops/trait.Drop.html) is
+   [called for stack-allocated objects](https://play.rust-lang.org/?version=stable&mode=debug&edition=2018&gist=87edf374d8983816eb3d8cfeac657b46),
+   the Rust standard library only defines `Drop` implementations for types that involve heap
+   allocation.</span>
+
+3. If you don't want to inspect the assembly, use a custom allocator that's able to track and alert
+   when heap allocations occur. Crates like
+   [`alloc_counter`](https://crates.io/crates/alloc_counter) are designed for exactly this purpose.
+
+With all that in mind, let's talk about situations in which we're guaranteed to use stack memory:
+
+- Structs are created on the stack.
+- Function arguments are passed on the stack, meaning the
+  [`#[inline]` attribute](https://doc.rust-lang.org/reference/attributes.html#inline-attribute) will
+  not change the memory region used.
+- Enums and unions are stack-allocated.
+- [Arrays](https://doc.rust-lang.org/std/primitive.array.html) are always stack-allocated.
+- Closures capture their arguments on the stack.
+- Generics will use stack allocation, even with dynamic dispatch.
+- [`Copy`](https://doc.rust-lang.org/std/marker/trait.Copy.html) types are guaranteed to be
+  stack-allocated, and copying them will be done in stack memory.
+- [`Iterator`s](https://doc.rust-lang.org/std/iter/trait.Iterator.html) in the standard library are
+  stack-allocated even when iterating over heap-based collections.
+
+# Structs
+
+The simplest case comes first. When creating vanilla `struct` objects, we use stack memory to hold
+their contents:
+
+```rust
+struct Point {
+    x: u64,
+    y: u64,
+}
+
+struct Line {
+    a: Point,
+    b: Point,
+}
+
+pub fn make_line() {
+    // `origin` is stored in the first 16 bytes of memory
+    // starting at location `rsp`
+    let origin = Point { x: 0, y: 0 };
+    // `point` makes up the next 16 bytes of memory
+    let point = Point { x: 1, y: 2 };
+
+    // When creating `ray`, we just move the content out of
+    // `origin` and `point` into the next 32 bytes of memory
+    let ray = Line { a: origin, b: point };
+}
+```
+
+-- [Compiler Explorer](https://godbolt.org/z/vri9BE)
+
+Note that while some extra-fancy instructions are used for memory manipulation in the assembly, the
+`sub rsp, 64` instruction indicates we're still working with the stack.
+
+# Function arguments
+
+Have you ever wondered how functions communicate with each other? Like, once the variables are given
+to you, everything's fine. But how do you "give" those variables to another function? How do you get
+the results back afterward? The answer: the compiler arranges memory and assembly instructions using
+a pre-determined [calling convention](http://llvm.org/docs/LangRef.html#calling-conventions). This
+convention governs the rules around where arguments needed by a function will be located (either in
+memory offsets relative to the stack pointer `rsp`, or in other registers), and where the results
+can be found once the function has finished. And when multiple languages agree on what the calling
+conventions are, you can do things like having [Go call Rust code](https://blog.filippo.io/rustgo/)!
+
+Put simply: it's the compiler's job to figure out how to call other functions, and you can assume
+that the compiler is good at its job.
+
+We can see this in action using a simple example:
+
+```rust
+struct Point {
+    x: i64,
+    y: i64,
+}
+
+// We use integer division operations to keep
+// the assembly clean, understanding the result
+// isn't accurate.
+fn distance(a: &Point, b: &Point) -> i64 {
+    // Immediately subtract from `rsp` the bytes needed
+    // to hold all the intermediate results - this is
+    // the stack allocation step
+
+    // The compiler used the `rdi` and `rsi` registers
+    // to pass our arguments, so read them in
+    let x1 = a.x;
+    let x2 = b.x;
+    let y1 = a.y;
+    let y2 = b.y;
+
+    // Do the actual math work
+    let x_pow = (x1 - x2) * (x1 - x2);
+    let y_pow = (y1 - y2) * (y1 - y2);
+    let squared = x_pow + y_pow;
+    squared / squared
+
+    // Our final result will be stored in the `rax` register
+    // so that our caller knows where to retrieve it.
+    // Finally, add back to `rsp` the stack memory that is
+    // now ready to be used by other functions.
+}
+
+pub fn total_distance() {
+    let start = Point { x: 1, y: 2 };
+    let middle = Point { x: 3, y: 4 };
+    let end = Point { x: 5, y: 6 };
+
+    let _dist_1 = distance(&start, &middle);
+    let _dist_2 = distance(&middle, &end);
+}
+```
+
+-- [Compiler Explorer](https://godbolt.org/z/Qmx4ST)
+
+As a consequence of function arguments never using heap memory, we can also infer that functions
+using the `#[inline]` attributes also do not heap allocate. But better than inferring, we can look
+at the assembly to prove it:
+
+```rust
+struct Point {
+    x: i64,
+    y: i64,
+}
+
+// Note that there is no `distance` function in the assembly output,
+// and the total line count goes from 229 with inlining off
+// to 306 with inline on. Even still, no heap allocations occur.
+#[inline(always)]
+fn distance(a: &Point, b: &Point) -> i64 {
+    let x1 = a.x;
+    let x2 = b.x;
+    let y1 = a.y;
+    let y2 = b.y;
+
+    let x_pow = (a.x - b.x) * (a.x - b.x);
+    let y_pow = (a.y - b.y) * (a.y - b.y);
+    let squared = x_pow + y_pow;
+    squared / squared
+}
+
+pub fn total_distance() {
+    let start = Point { x: 1, y: 2 };
+    let middle = Point { x: 3, y: 4 };
+    let end = Point { x: 5, y: 6 };
+
+    let _dist_1 = distance(&start, &middle);
+    let _dist_2 = distance(&middle, &end);
+}
+```
+
+-- [Compiler Explorer](https://godbolt.org/z/30Sh66)
+
+Finally, passing by value (arguments with type
+[`Copy`](https://doc.rust-lang.org/std/marker/trait.Copy.html)) and passing by reference (either
+moving ownership or passing a pointer) may have slightly different layouts in assembly, but will
+still use either stack memory or CPU registers:
+
+```rust
+pub struct Point {
+    x: i64,
+    y: i64,
+}
+
+// Moving values
+pub fn distance_moved(a: Point, b: Point) -> i64 {
+    let x1 = a.x;
+    let x2 = b.x;
+    let y1 = a.y;
+    let y2 = b.y;
+
+    let x_pow = (x1 - x2) * (x1 - x2);
+    let y_pow = (y1 - y2) * (y1 - y2);
+    let squared = x_pow + y_pow;
+    squared / squared
+}
+
+// Borrowing values has two extra `mov` instructions on lines 21 and 22
+pub fn distance_borrowed(a: &Point, b: &Point) -> i64 {
+    let x1 = a.x;
+    let x2 = b.x;
+    let y1 = a.y;
+    let y2 = b.y;
+
+    let x_pow = (x1 - x2) * (x1 - x2);
+    let y_pow = (y1 - y2) * (y1 - y2);
+    let squared = x_pow + y_pow;
+    squared / squared
+}
+```
+
+-- [Compiler Explorer](https://godbolt.org/z/06hGiv)
+
+# Enums
+
+If you've ever worried that wrapping your types in
+[`Option`](https://doc.rust-lang.org/stable/core/option/enum.Option.html) or
+[`Result`](https://doc.rust-lang.org/stable/core/result/enum.Result.html) would finally make them
+large enough that Rust decides to use heap allocation instead, fear no longer: `enum` and union
+types don't use heap allocation:
+
+```rust
+enum MyEnum {
+    Small(u8),
+    Large(u64)
+}
+
+struct MyStruct {
+    x: MyEnum,
+    y: MyEnum,
+}
+
+pub fn enum_compare() {
+    let x = MyEnum::Small(0);
+    let y = MyEnum::Large(0);
+
+    let z = MyStruct { x, y };
+
+    let opt = Option::Some(z);
+}
+```
+
+-- [Compiler Explorer](https://godbolt.org/z/HK7zBx)
+
+Because the size of an `enum` is the size of its largest element plus a flag, the compiler can
+predict how much memory is used no matter which variant of an enum is currently stored in a
+variable. Thus, enums and unions have no need of heap allocation. There's unfortunately not a great
+way to show this in assembly, so I'll instead point you to the
+[`core::mem::size_of`](https://doc.rust-lang.org/stable/core/mem/fn.size_of.html#size-of-enums)
+documentation.
+
+# Arrays
+
+The array type is guaranteed to be stack allocated, which is why the array size must be declared.
+Interestingly enough, this can be used to cause safe Rust programs to crash:
+
+```rust
+// 256 bytes
+#[derive(Default)]
+struct TwoFiftySix {
+    _a: [u64; 32]
+}
+
+// 8 kilobytes
+#[derive(Default)]
+struct EightK {
+    _a: [TwoFiftySix; 32]
+}
+
+// 256 kilobytes
+#[derive(Default)]
+struct TwoFiftySixK {
+    _a: [EightK; 32]
+}
+
+// 8 megabytes - exceeds space typically provided for the stack,
+// though the kernel can be instructed to allocate more.
+// On Linux, you can check stack size using `ulimit -s`
+#[derive(Default)]
+struct EightM {
+    _a: [TwoFiftySixK; 32]
+}
+
+fn main() {
+    // Because we already have things in stack memory
+    // (like the current function call stack), allocating another
+    // eight megabytes of stack memory crashes the program
+    let _x = EightM::default();
+}
+```
+
+--
+[Rust Playground](https://play.rust-lang.org/?version=stable&mode=debug&edition=2018&gist=587a6380a4914bcbcef4192c90c01dc4)
+
+There aren't any security implications of this (no memory corruption occurs), but it's good to note
+that the Rust compiler won't move arrays into heap memory even if they can be reasonably expected to
+overflow the stack.
+
+# Closures
+
+Rules for how anonymous functions capture their arguments are typically language-specific. In Java,
+[Lambda Expressions](https://docs.oracle.com/javase/tutorial/java/javaOO/lambdaexpressions.html) are
+actually objects created on the heap that capture local primitives by copying, and capture local
+non-primitives as (`final`) references.
+[Python](https://docs.python.org/3.7/reference/expressions.html#lambda) and
+[JavaScript](https://javascriptweblog.wordpress.com/2010/10/25/understanding-javascript-closures/)
+both bind _everything_ by reference normally, but Python can also
+[capture values](https://stackoverflow.com/a/235764/1454178) and JavaScript has
+[Arrow functions](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Functions/Arrow_functions).
+
+In Rust, arguments to closures are the same as arguments to other functions; closures are simply
+functions that don't have a declared name. Some weird ordering of the stack may be required to
+handle them, but it's the compiler's responsiblity to figure that out.
+
+Each example below has the same effect, but a different assembly implementation. In the simplest
+case, we immediately run a closure returned by another function. Because we don't store a reference
+to the closure, the stack memory needed to store the captured values is contiguous:
+
+```rust
+fn my_func() -> impl FnOnce() {
+    let x = 24;
+    // Note that this closure in assembly looks exactly like
+    // any other function; you even use the `call` instruction
+    // to start running it.
+    move || { x; }
+}
+
+pub fn immediate() {
+    my_func()();
+    my_func()();
+}
+```
+
+-- [Compiler Explorer](https://godbolt.org/z/mgJ2zl), 25 total assembly instructions
+
+If we store a reference to the closure, the Rust compiler keeps values it needs in the stack memory
+of the original function. Getting the details right is a bit harder, so the instruction count goes
+up even though this code is functionally equivalent to our original example:
+
+```rust
+pub fn simple_reference() {
+    let x = my_func();
+    let y = my_func();
+    y();
+    x();
+}
+```
+
+-- [Compiler Explorer](https://godbolt.org/z/K_dj5n), 55 total assembly instructions
+
+Even things like variable order can make a difference in instruction count:
+
+```rust
+pub fn complex() {
+    let x = my_func();
+    let y = my_func();
+    x();
+    y();
+}
+```
+
+-- [Compiler Explorer](https://godbolt.org/z/p37qFl), 70 total assembly instructions
+
+In every circumstance though, the compiler ensured that no heap allocations were necessary.
+
+# Generics
+
+Traits in Rust come in two broad forms: static dispatch (monomorphization, `impl Trait`) and dynamic
+dispatch (trait objects, `dyn Trait`). While dynamic dispatch is often _associated_ with trait
+objects being stored in the heap, dynamic dispatch can be used with stack allocated objects as well:
+
+```rust
+trait GetInt {
+    fn get_int(&self) -> u64;
+}
+
+// vtable stored at section L__unnamed_1
+struct WhyNotU8 {
+    x: u8
+}
+impl GetInt for WhyNotU8 {
+    fn get_int(&self) -> u64 {
+        self.x as u64
+    }
+}
+
+// vtable stored at section L__unnamed_2
+struct ActualU64 {
+    x: u64
+}
+impl GetInt for ActualU64 {
+    fn get_int(&self) -> u64 {
+        self.x
+    }
+}
+
+// `&dyn` declares that we want to use dynamic dispatch
+// rather than monomorphization, so there is only one
+// `retrieve_int` function that shows up in the final assembly.
+// If we used generics, there would be one implementation of
+// `retrieve_int` for each type that implements `GetInt`.
+pub fn retrieve_int(u: &dyn GetInt) {
+    // In the assembly, we just call an address given to us
+    // in the `rsi` register and hope that it was set up
+    // correctly when this function was invoked.
+    let x = u.get_int();
+}
+
+pub fn do_call() {
+    // Note that even though the vtable for `WhyNotU8` and
+    // `ActualU64` includes a pointer to
+    // `core::ptr::real_drop_in_place`, it is never invoked.
+    let a = WhyNotU8 { x: 0 };
+    let b = ActualU64 { x: 0 };
+
+    retrieve_int(&a);
+    retrieve_int(&b);
+}
+```
+
+-- [Compiler Explorer](https://godbolt.org/z/u_yguS)
+
+It's hard to imagine practical situations where dynamic dispatch would be used for objects that
+aren't heap allocated, but it technically can be done.
+
+# Copy types
+
+Understanding move semantics and copy semantics in Rust is weird at first. The Rust docs
+[go into detail](https://doc.rust-lang.org/stable/core/marker/trait.Copy.html) far better than can
+be addressed here, so I'll leave them to do the job. From a memory perspective though, their
+guideline is reasonable:
+[if your type can implemement `Copy`, it should](https://doc.rust-lang.org/stable/core/marker/trait.Copy.html#when-should-my-type-be-copy).
+While there are potential speed tradeoffs to _benchmark_ when discussing `Copy` (move semantics for
+stack objects vs. copying stack pointers vs. copying stack `struct`s), _it's impossible for `Copy`
+to introduce a heap allocation_.
+
+But why is this the case? Fundamentally, it's because the language controls what `Copy` means -
+["the behavior of `Copy` is not overloadable"](https://doc.rust-lang.org/std/marker/trait.Copy.html#whats-the-difference-between-copy-and-clone)
+because it's a marker trait. From there we'll note that a type
+[can implement `Copy`](https://doc.rust-lang.org/std/marker/trait.Copy.html#when-can-my-type-be-copy)
+if (and only if) its components implement `Copy`, and that
+[no heap-allocated types implement `Copy`](https://doc.rust-lang.org/std/marker/trait.Copy.html#implementors).
+Thus, assignments involving heap types are always move semantics, and new heap allocations won't
+occur because of implicit operator behavior.
+
+```rust
+#[derive(Clone)]
+struct Cloneable {
+    x: Box<u64>
+}
+
+// error[E0204]: the trait `Copy` may not be implemented for this type
+#[derive(Copy, Clone)]
+struct NotCopyable {
+    x: Box<u64>
+}
+```
+
+-- [Compiler Explorer](https://godbolt.org/z/VToRuK)
+
+# Iterators
+
+In managed memory languages (like
+[Java](https://www.youtube.com/watch?v=bSkpMdDe4g4&feature=youtu.be&t=357)), there's a subtle
+difference between these two code samples:
+
+```java
+public static int sum_for(List<Long> vals) {
+    long sum = 0;
+    // Regular for loop
+    for (int i = 0; i < vals.length; i++) {
+        sum += vals[i];
+    }
+    return sum;
+}
+
+public static int sum_foreach(List<Long> vals) {
+    long sum = 0;
+    // "Foreach" loop - uses iteration
+    for (Long l : vals) {
+        sum += l;
+    }
+    return sum;
+}
+```
+
+In the `sum_for` function, nothing terribly interesting happens. In `sum_foreach`, an object of type
+[`Iterator`](https://docs.oracle.com/en/java/javase/11/docs/api/java.base/java/util/Iterator.html)
+is allocated on the heap, and will eventually be garbage-collected. This isn't a great design;
+iterators are often transient objects that you need during a function and can discard once the
+function ends. Sounds exactly like the issue stack-allocated objects address, no?
+
+In Rust, iterators are allocated on the stack. The objects to iterate over are almost certainly in
+heap memory, but the iterator itself
+([`Iter`](https://doc.rust-lang.org/std/slice/struct.Iter.html)) doesn't need to use the heap. In
+each of the examples below we iterate over a collection, but never use heap allocation:
+
+```rust
+use std::collections::HashMap;
+// There's a lot of assembly generated, but if you search in the text,
+// there are no references to `real_drop_in_place` anywhere.
+
+pub fn sum_vec(x: &Vec<u32>) {
+    let mut s = 0;
+    // Basic iteration over vectors doesn't need allocation
+    for y in x {
+        s += y;
+    }
+}
+
+pub fn sum_enumerate(x: &Vec<u32>) {
+    let mut s = 0;
+    // More complex iterators are just fine too
+    for (_i, y) in x.iter().enumerate() {
+        s += y;
+    }
+}
+
+pub fn sum_hm(x: &HashMap<u32, u32>) {
+    let mut s = 0;
+    // And it's not just Vec, all types will allocate the iterator
+    // on stack memory
+    for y in x.values() {
+        s += y;
+    }
+}
+```
+
+-- [Compiler Explorer](https://godbolt.org/z/FTT3CT)
diff --git a/_posts/2019-02-07-a-heaping-helping.md b/_posts/2019-02-07-a-heaping-helping.md
new file mode 100644
index 0000000..b68c447
--- /dev/null
+++ b/_posts/2019-02-07-a-heaping-helping.md
@@ -0,0 +1,254 @@
+---
+layout: post
+title: "Dynamic Memory: A Heaping Helping"
+description: "The reason Rust exists."
+category:
+tags: [rust, understanding-allocations]
+---
+
+Managing dynamic memory is hard. Some languages assume users will do it themselves (C, C++), and
+some languages go to extreme lengths to protect users from themselves (Java, Python). In Rust, how
+the language uses dynamic memory (also referred to as the **heap**) is a system called _ownership_.
+And as the docs mention, ownership
+[is Rust's most unique feature](https://doc.rust-lang.org/book/ch04-00-understanding-ownership.html).
+
+The heap is used in two situations; when the compiler is unable to predict either the _total size of
+memory needed_, or _how long the memory is needed for_, it allocates space in the heap. This happens
+pretty frequently; if you want to download the Google home page, you won't know how large it is
+until your program runs. And when you're finished with Google, we deallocate the memory so it can be
+used to store other webpages. If you're interested in a slightly longer explanation of the heap,
+check out
+[The Stack and the Heap](https://doc.rust-lang.org/book/ch04-01-what-is-ownership.html#the-stack-and-the-heap)
+in Rust's documentation.
+
+We won't go into detail on how the heap is managed; the
+[ownership documentation](https://doc.rust-lang.org/book/ch04-01-what-is-ownership.html) does a
+phenomenal job explaining both the "why" and "how" of memory management. Instead, we're going to
+focus on understanding "when" heap allocations occur in Rust.
+
+To start off, take a guess for how many allocations happen in the program below:
+
+```rust
+fn main() {}
+```
+
+It's obviously a trick question; while no heap allocations occur as a result of that code, the setup
+needed to call `main` does allocate on the heap. Here's a way to show it:
+
+```rust
+#![feature(integer_atomics)]
+use std::alloc::{GlobalAlloc, Layout, System};
+use std::sync::atomic::{AtomicU64, Ordering};
+
+static ALLOCATION_COUNT: AtomicU64 = AtomicU64::new(0);
+
+struct CountingAllocator;
+
+unsafe impl GlobalAlloc for CountingAllocator {
+    unsafe fn alloc(&self, layout: Layout) -> *mut u8 {
+        ALLOCATION_COUNT.fetch_add(1, Ordering::SeqCst);
+        System.alloc(layout)
+    }
+
+    unsafe fn dealloc(&self, ptr: *mut u8, layout: Layout) {
+        System.dealloc(ptr, layout);
+    }
+}
+
+#[global_allocator]
+static A: CountingAllocator = CountingAllocator;
+
+fn main() {
+    let x = ALLOCATION_COUNT.fetch_add(0, Ordering::SeqCst);
+    println!("There were {} allocations before calling main!", x);
+}
+```
+
+--
+[Rust Playground](https://play.rust-lang.org/?version=nightly&mode=debug&edition=2018&gist=fb5060025ba79fc0f906b65a4ef8eb8e)
+
+As of the time of writing, there are five allocations that happen before `main` is ever called.
+
+But when we want to understand more practically where heap allocation happens, we'll follow this
+guide:
+
+- Smart pointers hold their contents in the heap
+- Collections are smart pointers for many objects at a time, and reallocate when they need to grow
+
+Finally, there are two "addendum" issues that are important to address when discussing Rust and the
+heap:
+
+- Non-heap alternatives to many standard library types are available.
+- Special allocators to track memory behavior should be used to benchmark code.
+
+# Smart pointers
+
+The first thing to note are the "smart pointer" types. When you have data that must outlive the
+scope in which it is declared, or your data is of unknown or dynamic size, you'll make use of these
+types.
+
+The term [smart pointer](https://en.wikipedia.org/wiki/Smart_pointer) comes from C++, and while it's
+closely linked to a general design pattern of
+["Resource Acquisition Is Initialization"](https://en.cppreference.com/w/cpp/language/raii), we'll
+use it here specifically to describe objects that are responsible for managing ownership of data
+allocated on the heap. The smart pointers available in the `alloc` crate should look mostly
+familiar:
+
+- [`Box`](https://doc.rust-lang.org/alloc/boxed/struct.Box.html)
+- [`Rc`](https://doc.rust-lang.org/alloc/rc/struct.Rc.html)
+- [`Arc`](https://doc.rust-lang.org/alloc/sync/struct.Arc.html)
+- [`Cow`](https://doc.rust-lang.org/alloc/borrow/enum.Cow.html)
+
+The [standard library](https://doc.rust-lang.org/std/) also defines some smart pointers to manage
+heap objects, though more than can be covered here. Some examples are:
+
+- [`RwLock`](https://doc.rust-lang.org/std/sync/struct.RwLock.html)
+- [`Mutex`](https://doc.rust-lang.org/std/sync/struct.Mutex.html)
+
+Finally, there is one ["gotcha"](https://www.merriam-webster.com/dictionary/gotcha): **cell types**
+(like [`RefCell`](https://doc.rust-lang.org/stable/core/cell/struct.RefCell.html)) look and behave
+similarly, but **don't involve heap allocation**. The
+[`core::cell` docs](https://doc.rust-lang.org/stable/core/cell/index.html) have more information.
+
+When a smart pointer is created, the data it is given is placed in heap memory and the location of
+that data is recorded in the smart pointer. Once the smart pointer has determined it's safe to
+deallocate that memory (when a `Box` has
+[gone out of scope](https://doc.rust-lang.org/stable/std/boxed/index.html) or a reference count
+[goes to zero](https://doc.rust-lang.org/alloc/rc/index.html)), the heap space is reclaimed. We can
+prove these types use heap memory by looking at code:
+
+```rust
+use std::rc::Rc;
+use std::sync::Arc;
+use std::borrow::Cow;
+
+pub fn my_box() {
+    // Drop at assembly line 1640
+    Box::new(0);
+}
+
+pub fn my_rc() {
+    // Drop at assembly line 1650
+    Rc::new(0);
+}
+
+pub fn my_arc() {
+    // Drop at assembly line 1660
+    Arc::new(0);
+}
+
+pub fn my_cow() {
+    // Drop at assembly line 1672
+    Cow::from("drop");
+}
+```
+
+-- [Compiler Explorer](https://godbolt.org/z/4AMQug)
+
+# Collections
+
+Collection types use heap memory because their contents have dynamic size; they will request more
+memory [when needed](https://doc.rust-lang.org/std/vec/struct.Vec.html#method.reserve), and can
+[release memory](https://doc.rust-lang.org/std/vec/struct.Vec.html#method.shrink_to_fit) when it's
+no longer necessary. This dynamic property forces Rust to heap allocate everything they contain. In
+a way, **collections are smart pointers for many objects at a time**. Common types that fall under
+this umbrella are [`Vec`](https://doc.rust-lang.org/stable/alloc/vec/struct.Vec.html),
+[`HashMap`](https://doc.rust-lang.org/stable/std/collections/struct.HashMap.html), and
+[`String`](https://doc.rust-lang.org/stable/alloc/string/struct.String.html) (not
+[`str`](https://doc.rust-lang.org/std/primitive.str.html)).
+
+While collections store the objects they own in heap memory, _creating new collections will not
+allocate on the heap_. This is a bit weird; if we call `Vec::new()`, the assembly shows a
+corresponding call to `real_drop_in_place`:
+
+```rust
+pub fn my_vec() {
+    // Drop in place at line 481
+    Vec::<u8>::new();
+}
+```
+
+-- [Compiler Explorer](https://godbolt.org/z/1WkNtC)
+
+But because the vector has no elements to manage, no calls to the allocator will ever be dispatched:
+
+```rust
+use std::alloc::{GlobalAlloc, Layout, System};
+use std::sync::atomic::{AtomicBool, Ordering};
+
+fn main() {
+    // Turn on panicking if we allocate on the heap
+    DO_PANIC.store(true, Ordering::SeqCst);
+
+    // Interesting bit happens here
+    let x: Vec<u8> = Vec::new();
+    drop(x);
+
+    // Turn panicking back off, some deallocations occur
+    // after main as well.
+    DO_PANIC.store(false, Ordering::SeqCst);
+}
+
+#[global_allocator]
+static A: PanicAllocator = PanicAllocator;
+static DO_PANIC: AtomicBool = AtomicBool::new(false);
+struct PanicAllocator;
+
+unsafe impl GlobalAlloc for PanicAllocator {
+    unsafe fn alloc(&self, layout: Layout) -> *mut u8 {
+        if DO_PANIC.load(Ordering::SeqCst) {
+            panic!("Unexpected allocation.");
+        }
+        System.alloc(layout)
+    }
+
+    unsafe fn dealloc(&self, ptr: *mut u8, layout: Layout) {
+        if DO_PANIC.load(Ordering::SeqCst) {
+            panic!("Unexpected deallocation.");
+        }
+        System.dealloc(ptr, layout);
+    }
+}
+```
+
+--
+[Rust Playground](https://play.rust-lang.org/?version=stable&mode=debug&edition=2018&gist=831a297d176d015b1f9ace01ae416cc6)
+
+Other standard library types follow the same behavior; make sure to check out
+[`HashMap::new()`](https://doc.rust-lang.org/std/collections/hash_map/struct.HashMap.html#method.new),
+and [`String::new()`](https://doc.rust-lang.org/std/string/struct.String.html#method.new).
+
+# Heap Alternatives
+
+While it is a bit strange to speak of the stack after spending time with the heap, it's worth
+pointing out that some heap-allocated objects in Rust have stack-based counterparts provided by
+other crates. If you have need of the functionality, but want to avoid allocating, there are
+typically alternatives available.
+
+When it comes to some standard library smart pointers
+([`RwLock`](https://doc.rust-lang.org/std/sync/struct.RwLock.html) and
+[`Mutex`](https://doc.rust-lang.org/std/sync/struct.Mutex.html)), stack-based alternatives are
+provided in crates like [parking_lot](https://crates.io/crates/parking_lot) and
+[spin](https://crates.io/crates/spin). You can check out
+[`lock_api::RwLock`](https://docs.rs/lock_api/0.1.5/lock_api/struct.RwLock.html),
+[`lock_api::Mutex`](https://docs.rs/lock_api/0.1.5/lock_api/struct.Mutex.html), and
+[`spin::Once`](https://mvdnes.github.io/rust-docs/spin-rs/spin/struct.Once.html) if you're in need
+of synchronization primitives.
+
+[thread_id](https://crates.io/crates/thread-id) may be necessary if you're implementing an allocator
+because [`thread::current().id()`](https://doc.rust-lang.org/std/thread/struct.ThreadId.html) uses a
+[`thread_local!` structure](https://doc.rust-lang.org/stable/src/std/sys_common/thread_info.rs.html#17-36)
+that needs heap allocation.
+
+# Tracing Allocators
+
+When writing performance-sensitive code, there's no alternative to measuring your code. If you
+didn't write a benchmark,
+[you don't care about it's performance](https://www.youtube.com/watch?v=2EWejmkKlxs&feature=youtu.be&t=263)
+You should never rely on your instincts when
+[a microsecond is an eternity](https://www.youtube.com/watch?v=NH1Tta7purM).
+
+Similarly, there's great work going on in Rust with allocators that keep track of what they're doing
+(like [`alloc_counter`](https://crates.io/crates/alloc_counter)). When it comes to tracking heap
+behavior, it's easy to make mistakes; please write tests and make sure you have tools to guard
+against future issues.
diff --git a/_posts/2019-02-08-compiler-optimizations.md b/_posts/2019-02-08-compiler-optimizations.md
new file mode 100644
index 0000000..4b8b385
--- /dev/null
+++ b/_posts/2019-02-08-compiler-optimizations.md
@@ -0,0 +1,148 @@
+---
+layout: post
+title: "Compiler Optimizations: What It's Done Lately"
+description: "A lot. The answer is a lot."
+category:
+tags: [rust, understanding-allocations]
+---
+
+**Update 2019-02-10**: When debugging a
+[related issue](https://gitlab.com/sio4/code/alloc-counter/issues/1), it was discovered that the
+original code worked because LLVM optimized out the entire function, rather than just the allocation
+segments. The code has been updated with proper use of
+[`read_volatile`](https://doc.rust-lang.org/std/ptr/fn.read_volatile.html), and a previous section
+on vector capacity has been removed.
+
+---
+
+Up to this point, we've been discussing memory usage in the Rust language by focusing on simple
+rules that are mostly right for small chunks of code. We've spent time showing how those rules work
+themselves out in practice, and become familiar with reading the assembly code needed to see each
+memory type (global, stack, heap) in action.
+
+Throughout the series so far, we've put a handicap on the code. In the name of consistent and
+understandable results, we've asked the compiler to pretty please leave the training wheels on. Now
+is the time where we throw out all the rules and take off the kid gloves. As it turns out, both the
+Rust compiler and the LLVM optimizers are incredibly sophisticated, and we'll step back and let them
+do their job.
+
+Similar to
+["What Has My Compiler Done For Me Lately?"](https://www.youtube.com/watch?v=bSkpMdDe4g4), we're
+focusing on interesting things the Rust language (and LLVM!) can do with memory management. We'll
+still be looking at assembly code to understand what's going on, but it's important to mention
+again: **please use automated tools like [alloc-counter](https://crates.io/crates/alloc_counter) to
+double-check memory behavior if it's something you care about**. It's far too easy to mis-read
+assembly in large code sections, you should always verify behavior if you care about memory usage.
+
+The guiding principal as we move forward is this: _optimizing compilers won't produce worse programs
+than we started with._ There won't be any situations where stack allocations get moved to heap
+allocations. There will, however, be an opera of optimization.
+
+# The Case of the Disappearing Box
+
+Our first optimization comes when LLVM can reason that the lifetime of an object is sufficiently
+short that heap allocations aren't necessary. In these cases, LLVM will move the allocation to the
+stack instead! The way this interacts with `#[inline]` attributes is a bit opaque, but the important
+part is that LLVM can sometimes do better than the baseline Rust language:
+
+```rust
+use std::alloc::{GlobalAlloc, Layout, System};
+use std::sync::atomic::{AtomicBool, Ordering};
+
+pub fn cmp(x: u32) {
+    // Turn on panicking if we allocate on the heap
+    DO_PANIC.store(true, Ordering::SeqCst);
+
+    // The compiler is able to see through the constant `Box`
+    // and directly compare `x` to 24 - assembly line 73
+    let y = Box::new(24);
+    let equals = x == *y;
+
+    // This call to drop is eliminated
+    drop(y);
+
+    // Need to mark the comparison result as volatile so that
+    // LLVM doesn't strip out all the code. If `y` is marked
+    // volatile instead, allocation will be forced.
+    unsafe { std::ptr::read_volatile(&equals) };
+
+    // Turn off panicking, as there are some deallocations
+    // when we exit main.
+    DO_PANIC.store(false, Ordering::SeqCst);
+}
+
+fn main() {
+    cmp(12)
+}
+
+#[global_allocator]
+static A: PanicAllocator = PanicAllocator;
+static DO_PANIC: AtomicBool = AtomicBool::new(false);
+struct PanicAllocator;
+
+unsafe impl GlobalAlloc for PanicAllocator {
+    unsafe fn alloc(&self, layout: Layout) -> *mut u8 {
+        if DO_PANIC.load(Ordering::SeqCst) {
+            panic!("Unexpected allocation.");
+        }
+        System.alloc(layout)
+    }
+
+    unsafe fn dealloc(&self, ptr: *mut u8, layout: Layout) {
+        if DO_PANIC.load(Ordering::SeqCst) {
+            panic!("Unexpected deallocation.");
+        }
+        System.dealloc(ptr, layout);
+    }
+}
+```
+
+## -- [Compiler Explorer](https://godbolt.org/z/BZ_Yp3)
+
+[Rust Playground](https://play.rust-lang.org/?version=stable&mode=release&edition=2018&gist=4a765f753183d5b919f62c71d2109d5d)
+
+# Dr. Array or: How I Learned to Love the Optimizer
+
+Finally, this isn't so much about LLVM figuring out different memory behavior, but LLVM stripping
+out code that doesn't do anything. Optimizations of this type have a lot of nuance to them; if
+you're not careful, they can make your benchmarks look
+[impossibly good](https://www.youtube.com/watch?v=nXaxk27zwlk&feature=youtu.be&t=1199). In Rust, the
+`black_box` function (implemented in both
+[`libtest`](https://doc.rust-lang.org/1.1.0/test/fn.black_box.html) and
+[`criterion`](https://docs.rs/criterion/0.2.10/criterion/fn.black_box.html)) will tell the compiler
+to disable this kind of optimization. But if you let LLVM remove unnecessary code, you can end up
+running programs that previously caused errors:
+
+```rust
+#[derive(Default)]
+struct TwoFiftySix {
+    _a: [u64; 32]
+}
+
+#[derive(Default)]
+struct EightK {
+    _a: [TwoFiftySix; 32]
+}
+
+#[derive(Default)]
+struct TwoFiftySixK {
+    _a: [EightK; 32]
+}
+
+#[derive(Default)]
+struct EightM {
+    _a: [TwoFiftySixK; 32]
+}
+
+pub fn main() {
+    // Normally this blows up because we can't reserve size on stack
+    // for the `EightM` struct. But because the compiler notices we
+    // never do anything with `_x`, it optimizes out the stack storage
+    // and the program completes successfully.
+    let _x = EightM::default();
+}
+```
+
+## -- [Compiler Explorer](https://godbolt.org/z/daHn7P)
+
+[Rust Playground](https://play.rust-lang.org/?version=stable&mode=release&edition=2018&gist=4c253bf26072119896ab93c6ef064dc0)
diff --git a/_posts/2019-02-09-summary.md b/_posts/2019-02-09-summary.md
new file mode 100644
index 0000000..dd7f06d
--- /dev/null
+++ b/_posts/2019-02-09-summary.md
@@ -0,0 +1,35 @@
+---
+layout: post
+title: "Summary: What are the Allocation Rules?"
+description: "A synopsis and reference."
+category:
+tags: [rust, understanding-allocations]
+---
+
+While there's a lot of interesting detail captured in this series, it's often helpful to have a
+document that answers some "yes/no" questions. You may not care about what an `Iterator` looks like
+in assembly, you just need to know whether it allocates an object on the heap or not. And while Rust
+will prioritize the fastest behavior it can, here are the rules for each memory type:
+
+**Heap Allocation**:
+
+- Smart pointers (`Box`, `Rc`, `Mutex`, etc.) allocate their contents in heap memory.
+- Collections (`HashMap`, `Vec`, `String`, etc.) allocate their contents in heap memory.
+- Some smart pointers in the standard library have counterparts in other crates that don't need heap
+  memory. If possible, use those.
+
+**Stack Allocation**:
+
+- Everything not using a smart pointer will be allocated on the stack.
+- Structs, enums, iterators, arrays, and closures are all stack allocated.
+- Cell types (`RefCell`) behave like smart pointers, but are stack-allocated.
+- Inlining (`#[inline]`) will not affect allocation behavior for better or worse.
+- Types that are marked `Copy` are guaranteed to have their contents stack-allocated.
+
+**Global Allocation**:
+
+- `const` is a fixed value; the compiler is allowed to copy it wherever useful.
+- `static` is a fixed reference; the compiler will guarantee it is unique.
+
+![Container Sizes in Rust](/assets/images/2019-02-04-container-size.svg) --
+[Raph Levien](https://docs.google.com/presentation/d/1q-c7UAyrUlM-eZyTo1pd8SZ0qwA_wYxmPZVOQkoDmH4/edit?usp=sharing)
diff --git a/_posts/2019-05-03-making-bread.md b/_posts/2019-05-03-making-bread.md
new file mode 100644
index 0000000..de794e0
--- /dev/null
+++ b/_posts/2019-05-03-making-bread.md
@@ -0,0 +1,52 @@
+---
+layout: post
+title: "Making Bread"
+description: "...because I've got some free time now. 🍞"
+category:
+tags: [baking]
+---
+
+Having recently started my "gardening leave" between positions, I have some more personal time
+available. I'm planning to stay productive, contributing to some open-source projects, but it also
+occurred to me that despite [talking about](https://speice.io/2018/05/hello.html) bread pics, this
+blog has been purely technical. Maybe I'll change the site title from "The Old Speice Guy" to "Bites
+and Bytes"?
+
+Either way, I'm baking a little bit again, and figured it was worth taking a quick break to focus on
+some lighter material. I recently learned two critically important lessons: first, the temperature
+of the dough when you put the yeast in makes a huge difference.
+
+Previously, when I wasn't paying attention to dough temperature:
+
+![Whole weat dough](/assets/images/2019-05-03-making-bread/whole-wheat-not-rising.jpg)
+
+Compared with what happens when I put the dough in the microwave for a defrost cycle because the
+water I used wasn't warm enough:
+
+![White dough](/assets/images/2019-05-03-making-bread/white-dough-rising-before-fold.jpg)
+
+I mean, just look at the bubbles!
+
+![White dough with bubbles](/assets/images/2019-05-03-making-bread/white-dough-rising-after-fold.jpg)
+
+After shaping the dough, I've got two loaves ready:
+
+![Shaped loaves](/assets/images/2019-05-03-making-bread/shaped-loaves.jpg)
+
+Now, the recipe normally calls for a Dutch Oven to bake the bread because it keeps the dough from
+drying out in the oven. Because I don't own a Dutch Oven, I typically put a casserole dish on the
+bottom rack and fill it with water so there's still some moisture in the oven. This time, I forgot
+to add the water and learned my second lesson: never add room-temperature water to a glass dish
+that's currently at 500 degrees.
+
+![Shattered glass dish](/assets/images/2019-05-03-making-bread/shattered-glass.jpg)
+
+Needless to say, trying to pull out sharp glass from an incredibly hot oven is not what I expected
+to be doing during my garden leave.
+
+In the end, the bread crust wasn't great, but the bread itself turned out pretty alright:
+
+![Baked bread](/assets/images/2019-05-03-making-bread/final-product.jpg)
+
+I've been writing a lot more during this break, so I'm looking forward to sharing that in the
+future. In the mean-time, I'm planning on making a sandwich.
diff --git a/_posts/2019-06-31-high-performance-systems.md b/_posts/2019-06-31-high-performance-systems.md
new file mode 100644
index 0000000..23ef44b
--- /dev/null
+++ b/_posts/2019-06-31-high-performance-systems.md
@@ -0,0 +1,296 @@
+---
+layout: post
+title: "On Building High Performance Systems"
+description: ""
+category:
+tags: []
+---
+
+**Update 2019-09-21**: Added notes on `isolcpus` and `systemd` affinity.
+
+Prior to working in the trading industry, my assumption was that High Frequency Trading (HFT) is
+made up of people who have access to secret techniques mortal developers could only dream of. There
+had to be some secret art that could only be learned if one had an appropriately tragic backstory:
+
+<img src="/assets/images/2019-04-24-kung-fu.webp" alt="kung-fu fight">
+> How I assumed HFT people learn their secret techniques
+
+How else do you explain people working on systems that complete the round trip of market data in to
+orders out (a.k.a. tick-to-trade) consistently within
+[750-800 nanoseconds](https://stackoverflow.com/a/22082528/1454178)? In roughly the time it takes a
+computer to access
+[main memory 8 times](https://people.eecs.berkeley.edu/~rcs/research/interactive_latency.html),
+trading systems are capable of reading the market data packets, deciding what orders to send, doing
+risk checks, creating new packets for exchange-specific protocols, and putting those packets on the
+wire.
+
+Having now worked in the trading industry, I can confirm the developers aren't super-human; I've
+made some simple mistakes at the very least. Instead, what shows up in public discussions is that
+philosophy, not technique, separates high-performance systems from everything else.
+Performance-critical systems don't rely on "this one cool C++ optimization trick" to make code fast
+(though micro-optimizations have their place); there's a lot more to worry about than just the code
+written for the project.
+
+The framework I'd propose is this: **If you want to build high-performance systems, focus first on
+reducing performance variance** (reducing the gap between the fastest and slowest runs of the same
+code), **and only look at average latency once variance is at an acceptable level**.
+
+Don't get me wrong, I'm a much happier person when things are fast. Computer goes from booting in 20
+seconds down to 10 because I installed a solid-state drive? Awesome. But if every fifth day it takes
+a full minute to boot because of corrupted sectors? Not so great. Average speed over the course of a
+week is the same in each situation, but you're painfully aware of that minute when it happens. When
+it comes to code, the principal is the same: speeding up a function by an average of 10 milliseconds
+doesn't mean much if there's a 100ms difference between your fastest and slowest runs. When
+performance matters, you need to respond quickly _every time_, not just in aggregate.
+High-performance systems should first optimize for time variance. Once you're consistent at the time
+scale you care about, then focus on improving average time.
+
+This focus on variance shows up all the time in industry too (emphasis added in all quotes below):
+
+- In [marketing materials](https://business.nasdaq.com/market-tech/marketplaces/trading) for
+  NASDAQ's matching engine, the most performance-sensitive component of the exchange, dependability
+  is highlighted in addition to instantaneous metrics:
+
+  > Able to **consistently sustain** an order rate of over 100,000 orders per second at sub-40
+  > microsecond average latency
+
+- The [Aeron](https://github.com/real-logic/aeron) message bus has this to say about performance:
+
+  > Performance is the key focus. Aeron is designed to be the highest throughput with the lowest and
+  > **most predictable latency possible** of any messaging system
+
+- The company PolySync, which is working on autonomous vehicles,
+  [mentions why](https://polysync.io/blog/session-types-for-hearty-codecs/) they picked their
+  specific messaging format:
+
+  > In general, high performance is almost always desirable for serialization. But in the world of
+  > autonomous vehicles, **steady timing performance is even more important** than peak throughput.
+  > This is because safe operation is sensitive to timing outliers. Nobody wants the system that
+  > decides when to slam on the brakes to occasionally take 100 times longer than usual to encode
+  > its commands.
+
+- [Solarflare](https://solarflare.com/), which makes highly-specialized network hardware, points out
+  variance (jitter) as a big concern for
+  [electronic trading](https://solarflare.com/electronic-trading/):
+  > The high stakes world of electronic trading, investment banks, market makers, hedge funds and
+  > exchanges demand the **lowest possible latency and jitter** while utilizing the highest
+  > bandwidth and return on their investment.
+
+And to further clarify: we're not discussing _total run-time_, but variance of total run-time. There
+are situations where it's not reasonably possible to make things faster, and you'd much rather be
+consistent. For example, trading firms use
+[wireless networks](https://sniperinmahwah.wordpress.com/2017/06/07/network-effects-part-i/) because
+the speed of light through air is faster than through fiber-optic cables. There's still at _absolute
+minimum_ a [~33.76 millisecond](http://tinyurl.com/y2vd7tn8) delay required to send data between,
+say,
+[Chicago and Tokyo](https://www.theice.com/market-data/connectivity-and-feeds/wireless/tokyo-chicago).
+If a trading system in Chicago calls the function for "send order to Tokyo" and waits to see if a
+trade occurs, there's a physical limit to how long that will take. In this situation, the focus is
+on keeping variance of _additional processing_ to a minimum, since speed of light is the limiting
+factor.
+
+So how does one go about looking for and eliminating performance variance? To tell the truth, I
+don't think a systematic answer or flow-chart exists. There's no substitute for (A) building a deep
+understanding of the entire technology stack, and (B) actually measuring system performance (though
+(C) watching a lot of [CppCon](https://www.youtube.com/channel/UCMlGfpWw-RUdWX_JbLCukXg) videos for
+inspiration never hurt). Even then, every project cares about performance to a different degree; you
+may need to build an entire
+[replica production system](https://www.youtube.com/watch?v=NH1Tta7purM&feature=youtu.be&t=3015) to
+accurately benchmark at nanosecond precision, or you may be content to simply
+[avoid garbage collection](https://www.youtube.com/watch?v=BD9cRbxWQx8&feature=youtu.be&t=1335) in
+your Java code.
+
+Even though everyone has different needs, there are still common things to look for when trying to
+isolate and eliminate variance. In no particular order, these are my focus areas when thinking about
+high-performance systems:
+
+## Language-specific
+
+**Garbage Collection**: How often does garbage collection happen? When is it triggered? What are the
+impacts?
+
+- [In Python](https://rushter.com/blog/python-garbage-collector/), individual objects are collected
+  if the reference count reaches 0, and each generation is collected if
+  `num_alloc - num_dealloc > gc_threshold` whenever an allocation happens. The GIL is acquired for
+  the duration of generational collection.
+- Java has
+  [many](https://docs.oracle.com/en/java/javase/12/gctuning/parallel-collector1.html#GUID-DCDD6E46-0406-41D1-AB49-FB96A50EB9CE)
+  [different](https://docs.oracle.com/en/java/javase/12/gctuning/garbage-first-garbage-collector.html#GUID-ED3AB6D3-FD9B-4447-9EDF-983ED2F7A573)
+  [collection](https://docs.oracle.com/en/java/javase/12/gctuning/garbage-first-garbage-collector-tuning.html#GUID-90E30ACA-8040-432E-B3A0-1E0440AB556A)
+  [algorithms](https://docs.oracle.com/en/java/javase/12/gctuning/z-garbage-collector1.html#GUID-A5A42691-095E-47BA-B6DC-FB4E5FAA43D0)
+  to choose from, each with different characteristics. The default algorithms (Parallel GC in Java
+  8, G1 in Java 9) freeze the JVM while collecting, while more recent algorithms
+  ([ZGC](https://wiki.openjdk.java.net/display/zgc) and
+  [Shenandoah](https://wiki.openjdk.java.net/display/shenandoah)) are designed to keep "stop the
+  world" to a minimum by doing collection work in parallel.
+
+**Allocation**: Every language has a different way of interacting with "heap" memory, but the
+principle is the same: running the allocator to allocate/deallocate memory takes time that can often
+be put to better use. Understanding when your language interacts with the allocator is crucial, and
+not always obvious. For example: C++ and Rust don't allocate heap memory for iterators, but Java
+does (meaning potential GC pauses). Take time to understand heap behavior (I made a
+[a guide for Rust](/2019/02/understanding-allocations-in-rust.html)), and look into alternative
+allocators ([jemalloc](http://jemalloc.net/),
+[tcmalloc](https://gperftools.github.io/gperftools/tcmalloc.html)) that might run faster than the
+operating system default.
+
+**Data Layout**: How your data is arranged in memory matters;
+[data-oriented design](https://www.youtube.com/watch?v=yy8jQgmhbAU) and
+[cache locality](https://www.youtube.com/watch?v=2EWejmkKlxs&feature=youtu.be&t=1185) can have huge
+impacts on performance. The C family of languages (C, value types in C#, C++) and Rust all have
+guarantees about the shape every object takes in memory that others (e.g. Java and Python) can't
+make. [Cachegrind](http://valgrind.org/docs/manual/cg-manual.html) and kernel
+[perf](https://perf.wiki.kernel.org/index.php/Main_Page) counters are both great for understanding
+how performance relates to memory layout.
+
+**Just-In-Time Compilation**: Languages that are compiled on the fly (LuaJIT, C#, Java, PyPy) are
+great because they optimize your program for how it's actually being used, rather than how a
+compiler expects it to be used. However, there's a variance problem if the program stops executing
+while waiting for translation from VM bytecode to native code. As a remedy, many languages support
+ahead-of-time compilation in addition to the JIT versions
+([CoreRT](https://github.com/dotnet/corert) in C# and [GraalVM](https://www.graalvm.org/) in Java).
+On the other hand, LLVM supports
+[Profile Guided Optimization](https://clang.llvm.org/docs/UsersManual.html#profile-guided-optimization),
+which theoretically brings JIT benefits to non-JIT languages. Finally, be careful to avoid comparing
+apples and oranges during benchmarks; you don't want your code to suddenly speed up because the JIT
+compiler kicked in.
+
+**Programming Tricks**: These won't make or break performance, but can be useful in specific
+circumstances. For example, C++ can use
+[templates instead of branches](https://www.youtube.com/watch?v=NH1Tta7purM&feature=youtu.be&t=1206)
+in critical sections.
+
+## Kernel
+
+Code you wrote is almost certainly not the _only_ code running on your hardware. There are many ways
+the operating system interacts with your program, from interrupts to system calls, that are
+important to watch for. These are written from a Linux perspective, but Windows does typically have
+equivalent functionality.
+
+**Scheduling**: The kernel is normally free to schedule any process on any core, so it's important
+to reserve CPU cores exclusively for the important programs. There are a few parts to this: first,
+limit the CPU cores that non-critical processes are allowed to run on by excluding cores from
+scheduling
+([`isolcpus`](https://www.linuxtopia.org/online_books/linux_kernel/kernel_configuration/re46.html)
+kernel command-line option), or by setting the `init` process CPU affinity
+([`systemd` example](https://access.redhat.com/solutions/2884991)). Second, set critical processes
+to run on the isolated cores by setting the
+[processor affinity](https://en.wikipedia.org/wiki/Processor_affinity) using
+[taskset](https://linux.die.net/man/1/taskset). Finally, use
+[`NO_HZ`](https://github.com/torvalds/linux/blob/master/Documentation/timers/NO_HZ.txt) or
+[`chrt`](https://linux.die.net/man/1/chrt) to disable scheduling interrupts. Turning off
+hyper-threading is also likely beneficial.
+
+**System calls**: Reading from a UNIX socket? Writing to a file? In addition to not knowing how long
+the I/O operation takes, these all trigger expensive
+[system calls (syscalls)](https://en.wikipedia.org/wiki/System_call). To handle these, the CPU must
+[context switch](https://en.wikipedia.org/wiki/Context_switch) to the kernel, let the kernel
+operation complete, then context switch back to your program. We'd rather keep these
+[to a minimum](https://www.destroyallsoftware.com/talks/the-birth-and-death-of-javascript) (see
+timestamp 18:20). [Strace](https://linux.die.net/man/1/strace) is your friend for understanding when
+and where syscalls happen.
+
+**Signal Handling**: Far less likely to be an issue, but signals do trigger a context switch if your
+code has a handler registered. This will be highly dependent on the application, but you can
+[block signals](https://www.linuxprogrammingblog.com/all-about-linux-signals?page=show#Blocking_signals)
+if it's an issue.
+
+**Interrupts**: System interrupts are how devices connected to your computer notify the CPU that
+something has happened. The CPU will then choose a processor core to pause and context switch to the
+OS to handle the interrupt. Make sure that
+[SMP affinity](http://www.alexonlinux.com/smp-affinity-and-proper-interrupt-handling-in-linux) is
+set so that interrupts are handled on a CPU core not running the program you care about.
+
+**[NUMA](https://www.kernel.org/doc/html/latest/vm/numa.html)**: While NUMA is good at making
+multi-cell systems transparent, there are variance implications; if the kernel moves a process
+across nodes, future memory accesses must wait for the controller on the original node. Use
+[numactl](https://linux.die.net/man/8/numactl) to handle memory-/cpu-cell pinning so this doesn't
+happen.
+
+## Hardware
+
+**CPU Pipelining/Speculation**: Speculative execution in modern processors gave us vulnerabilities
+like Spectre, but it also gave us performance improvements like
+[branch prediction](https://stackoverflow.com/a/11227902/1454178). And if the CPU mis-speculates
+your code, there's variance associated with rewind and replay. While the compiler knows a lot about
+how your CPU [pipelines instructions](https://youtu.be/nAbCKa0FzjQ?t=4467), code can be
+[structured to help](https://www.youtube.com/watch?v=NH1Tta7purM&feature=youtu.be&t=755) the branch
+predictor.
+
+**Paging**: For most systems, virtual memory is incredible. Applications live in their own worlds,
+and the CPU/[MMU](https://en.wikipedia.org/wiki/Memory_management_unit) figures out the details.
+However, there's a variance penalty associated with memory paging and caching; if you access more
+memory pages than the [TLB](https://en.wikipedia.org/wiki/Translation_lookaside_buffer) can store,
+you'll have to wait for the page walk. Kernel perf tools are necessary to figure out if this is an
+issue, but using [huge pages](https://blog.pythian.com/performance-tuning-hugepages-in-linux/) can
+reduce TLB burdens. Alternately, running applications in a hypervisor like
+[Jailhouse](https://github.com/siemens/jailhouse) allows one to skip virtual memory entirely, but
+this is probably more work than the benefits are worth.
+
+**Network Interfaces**: When more than one computer is involved, variance can go up dramatically.
+Tuning kernel
+[network parameters](https://github.com/leandromoreira/linux-network-performance-parameters) may be
+helpful, but modern systems more frequently opt to skip the kernel altogether with a technique
+called [kernel bypass](https://blog.cloudflare.com/kernel-bypass/). This typically requires
+specialized hardware and [drivers](https://www.openonload.org/), but even industries like
+[telecom](https://www.bbc.co.uk/rd/blog/2018-04-high-speed-networking-open-source-kernel-bypass) are
+finding the benefits.
+
+## Networks
+
+**Routing**: There's a reason financial firms are willing to pay
+[millions of euros](https://sniperinmahwah.wordpress.com/2019/03/26/4-les-moeres-english-version/)
+for rights to a small plot of land - having a straight-line connection from point A to point B means
+the path their data takes is the shortest possible. In contrast, there are currently 6 computers in
+between me and Google, but that may change at any moment if my ISP realizes a
+[more efficient route](https://en.wikipedia.org/wiki/Border_Gateway_Protocol) is available. Whether
+it's using
+[research-quality equipment](https://sniperinmahwah.wordpress.com/2018/05/07/shortwave-trading-part-i-the-west-chicago-tower-mystery/)
+for shortwave radio, or just making sure there's no data inadvertently going between data centers,
+routing matters.
+
+**Protocol**: TCP as a network protocol is awesome: guaranteed and in-order delivery, flow control,
+and congestion control all built in. But these attributes make the most sense when networking
+infrastructure is lossy; for systems that expect nearly all packets to be delivered correctly, the
+setup handshaking and packet acknowledgment are just overhead. Using UDP (unicast or multicast) may
+make sense in these contexts as it avoids the chatter needed to track connection state, and
+[gap-fill](https://iextrading.com/docs/IEX%20Transport%20Specification.pdf)
+[strategies](http://www.nasdaqtrader.com/content/technicalsupport/specifications/dataproducts/moldudp64.pdf)
+can handle the rest.
+
+**Switching**: Many routers/switches handle packets using "store-and-forward" behavior: wait for the
+whole packet, validate checksums, and then send to the next device. In variance terms, the time
+needed to move data between two nodes is proportional to the size of that data; the switch must
+"store" all data before it can calculate checksums and "forward" to the next node. With
+["cut-through"](https://www.networkworld.com/article/2241573/latency-and-jitter--cut-through-design-pays-off-for-arista--blade.html)
+designs, switches will begin forwarding data as soon as they know where the destination is,
+checksums be damned. This means there's a fixed cost (at the switch) for network traffic, no matter
+the size.
+
+# Final Thoughts
+
+High-performance systems, regardless of industry, are not magical. They do require extreme precision
+and attention to detail, but they're designed, built, and operated by regular people, using a lot of
+tools that are publicly available. Interested in seeing how context switching affects performance of
+your benchmarks? `taskset` should be installed in all modern Linux distributions, and can be used to
+make sure the OS never migrates your process. Curious how often garbage collection triggers during a
+crucial operation? Your language of choice will typically expose details of its operations
+([Python](https://docs.python.org/3/library/gc.html),
+[Java](https://www.oracle.com/technetwork/java/javase/tech/vmoptions-jsp-140102.html#DebuggingOptions)).
+Want to know how hard your program is stressing the TLB? Use `perf record` and look for
+`dtlb_load_misses.miss_causes_a_walk`.
+
+Two final guiding questions, then: first, before attempting to apply some of the technology above to
+your own systems, can you first identify
+[where/when you care](http://wiki.c2.com/?PrematureOptimization) about "high-performance"? As an
+example, if parts of a system rely on humans pushing buttons, CPU pinning won't have any measurable
+effect. Humans are already far too slow to react in time. Second, if you're using benchmarks, are
+they being designed in a way that's actually helpful? Tools like
+[Criterion](http://www.serpentine.com/criterion/) (also in
+[Rust](https://github.com/bheisler/criterion.rs)) and Google's
+[Benchmark](https://github.com/google/benchmark) output not only average run time, but variance as
+well; your benchmarking environment is subject to the same concerns your production environment is.
+
+Finally, I believe high-performance systems are a matter of philosophy, not necessarily technique.
+Rigorous focus on variance is the first step, and there are plenty of ways to measure and mitigate
+it; once that's at an acceptable level, then optimize for speed.
diff --git a/_posts/2019-09-28-binary-format-shootout.md b/_posts/2019-09-28-binary-format-shootout.md
new file mode 100644
index 0000000..675dc37
--- /dev/null
+++ b/_posts/2019-09-28-binary-format-shootout.md
@@ -0,0 +1,263 @@
+---
+layout: post
+title: "Binary Format Shootout"
+description: "Cap'n Proto vs. Flatbuffers vs. SBE"
+category:
+tags: [rust]
+---
+
+I've found that in many personal projects,
+[analysis paralysis](https://en.wikipedia.org/wiki/Analysis_paralysis) is particularly deadly.
+Making good decisions in the beginning avoids pain and suffering later; if extra research prevents
+future problems, I'm happy to continue ~~procrastinating~~ researching indefinitely.
+
+So let's say you're in need of a binary serialization format. Data will be going over the network,
+not just in memory, so having a schema document and code generation is a must. Performance is
+crucial, so formats that support zero-copy de/serialization are given priority. And the more
+languages supported, the better; I use Rust, but can't predict what other languages this could
+interact with.
+
+Given these requirements, the candidates I could find were:
+
+1. [Cap'n Proto](https://capnproto.org/) has been around the longest, and is the most established
+2. [Flatbuffers](https://google.github.io/flatbuffers/) is the newest, and claims to have a simpler
+   encoding
+3. [Simple Binary Encoding](https://github.com/real-logic/simple-binary-encoding) has the simplest
+   encoding, but the Rust implementation is unmaintained
+
+Any one of these will satisfy the project requirements: easy to transmit over a network, reasonably
+fast, and polyglot support. But how do you actually pick one? It's impossible to know what issues
+will follow that choice, so I tend to avoid commitment until the last possible moment.
+
+Still, a choice must be made. Instead of worrying about which is "the best," I decided to build a
+small proof-of-concept system in each format and pit them against each other. All code can be found
+in the [repository](https://github.com/speice-io/marketdata-shootout) for this post.
+
+We'll discuss more in detail, but a quick preview of the results:
+
+- Cap'n Proto: Theoretically performs incredibly well, the implementation had issues
+- Flatbuffers: Has some quirks, but largely lived up to its "zero-copy" promises
+- SBE: Best median and worst-case performance, but the message structure has a limited feature set
+
+# Prologue: Binary Parsing with Nom
+
+Our benchmark system will be a simple data processor; given depth-of-book market data from
+[IEX](https://iextrading.com/trading/market-data/#deep), serialize each message into the schema
+format, read it back, and calculate total size of stock traded and the lowest/highest quoted prices.
+This test isn't complex, but is representative of the project I need a binary format for.
+
+But before we make it to that point, we have to actually read in the market data. To do so, I'm
+using a library called [`nom`](https://github.com/Geal/nom). Version 5.0 was recently released and
+brought some big changes, so this was an opportunity to build a non-trivial program and get
+familiar.
+
+If you don't already know about `nom`, it's a "parser generator". By combining different smaller
+parsers, you can assemble a parser to handle complex structures without writing tedious code by
+hand. For example, when parsing
+[PCAP files](https://www.winpcap.org/ntar/draft/PCAP-DumpFileFormat.html#rfc.section.3.3):
+
+```
+   0                   1                   2                   3
+   0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1
+   +---------------------------------------------------------------+
+ 0 |                    Block Type = 0x00000006                    |
+   +---------------------------------------------------------------+
+ 4 |                      Block Total Length                       |
+   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
+ 8 |                         Interface ID                          |
+   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
+12 |                        Timestamp (High)                       |
+   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
+16 |                        Timestamp (Low)                        |
+   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
+20 |                         Captured Len                          |
+   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
+24 |                          Packet Len                           |
+   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
+   |                          Packet Data                          |
+   |                              ...                              |
+```
+
+...you can build a parser in `nom` that looks like
+[this](https://github.com/speice-io/marketdata-shootout/blob/369613843d39cfdc728e1003123bf87f79422497/src/parsers.rs#L59-L93):
+
+```rust
+const ENHANCED_PACKET: [u8; 4] = [0x06, 0x00, 0x00, 0x00];
+pub fn enhanced_packet_block(input: &[u8]) -> IResult<&[u8], &[u8]> {
+    let (
+        remaining,
+        (
+            block_type,
+            block_len,
+            interface_id,
+            timestamp_high,
+            timestamp_low,
+            captured_len,
+            packet_len,
+        ),
+    ) = tuple((
+        tag(ENHANCED_PACKET),
+        le_u32,
+        le_u32,
+        le_u32,
+        le_u32,
+        le_u32,
+        le_u32,
+    ))(input)?;
+
+    let (remaining, packet_data) = take(captured_len)(remaining)?;
+    Ok((remaining, packet_data))
+}
+```
+
+While this example isn't too interesting, more complex formats (like IEX market data) are where
+[`nom` really shines](https://github.com/speice-io/marketdata-shootout/blob/369613843d39cfdc728e1003123bf87f79422497/src/iex.rs).
+
+Ultimately, because the `nom` code in this shootout was the same for all formats, we're not too
+interested in its performance. Still, it's worth mentioning that building the market data parser was
+actually fun; I didn't have to write tons of boring code by hand.
+
+# Part 1: Cap'n Proto
+
+Now it's time to get into the meaty part of the story. Cap'n Proto was the first format I tried
+because of how long it has supported Rust (thanks to [dwrensha](https://github.com/dwrensha) for
+maintaining the Rust port since
+[2014!](https://github.com/capnproto/capnproto-rust/releases/tag/rustc-0.10)). However, I had a ton
+of performance concerns once I started using it.
+
+To serialize new messages, Cap'n Proto uses a "builder" object. This builder allocates memory on the
+heap to hold the message content, but because builders
+[can't be re-used](https://github.com/capnproto/capnproto-rust/issues/111), we have to allocate a
+new buffer for every single message. I was able to work around this with a
+[special builder](https://github.com/speice-io/marketdata-shootout/blob/369613843d39cfdc728e1003123bf87f79422497/src/capnp_runner.rs#L17-L51)
+that could re-use the buffer, but it required reading through Cap'n Proto's
+[benchmarks](https://github.com/capnproto/capnproto-rust/blob/master/benchmark/benchmark.rs#L124-L156)
+to find an example, and used
+[`std::mem::transmute`](https://doc.rust-lang.org/std/mem/fn.transmute.html) to bypass Rust's borrow
+checker.
+
+The process of reading messages was better, but still had issues. Cap'n Proto has two message
+encodings: a ["packed"](https://capnproto.org/encoding.html#packing) representation, and an
+"unpacked" version. When reading "packed" messages, we need a buffer to unpack the message into
+before we can use it; Cap'n Proto allocates a new buffer for each message we unpack, and I wasn't
+able to figure out a way around that. In contrast, the unpacked message format should be where Cap'n
+Proto shines; its main selling point is that there's [no decoding step](https://capnproto.org/).
+However, accomplishing zero-copy deserialization required code in the private API
+([since fixed](https://github.com/capnproto/capnproto-rust/issues/148)), and we allocate a vector on
+every read for the segment table.
+
+In the end, I put in significant work to make Cap'n Proto as fast as possible, but there were too
+many issues for me to feel comfortable using it long-term.
+
+# Part 2: Flatbuffers
+
+This is the new kid on the block. After a
+[first attempt](https://github.com/google/flatbuffers/pull/3894) didn't pan out, official support
+was [recently launched](https://github.com/google/flatbuffers/pull/4898). Flatbuffers intends to
+address the same problems as Cap'n Proto: high-performance, polyglot, binary messaging. The
+difference is that Flatbuffers claims to have a simpler wire format and
+[more flexibility](https://google.github.io/flatbuffers/flatbuffers_benchmarks.html).
+
+On the whole, I enjoyed using Flatbuffers; the [tooling](https://crates.io/crates/flatc-rust) is
+nice, and unlike Cap'n Proto, parsing messages was actually zero-copy and zero-allocation. However,
+there were still some issues.
+
+First, Flatbuffers (at least in Rust) can't handle nested vectors. This is a problem for formats
+like the following:
+
+```
+table Message {
+  symbol: string;
+}
+table MultiMessage {
+  messages:[Message];
+}
+```
+
+We want to create a `MultiMessage` which contains a vector of `Message`, and each `Message` itself
+contains a vector (the `string` type). I was able to work around this by
+[caching `Message` elements](https://github.com/speice-io/marketdata-shootout/blob/e9d07d148bf36a211a6f86802b313c4918377d1b/src/flatbuffers_runner.rs#L83)
+in a `SmallVec` before building the final `MultiMessage`, but it was a painful process that I
+believe contributed to poor serialization performance.
+
+Second, streaming support in Flatbuffers seems to be something of an
+[afterthought](https://github.com/google/flatbuffers/issues/3898). Where Cap'n Proto in Rust handles
+reading messages from a stream as part of the API, Flatbuffers just sticks a `u32` at the front of
+each message to indicate the size. Not specifically a problem, but calculating message size without
+that tag is nigh on impossible.
+
+Ultimately, I enjoyed using Flatbuffers, and had to do significantly less work to make it perform
+well.
+
+# Part 3: Simple Binary Encoding
+
+Support for SBE was added by the author of one of my favorite
+[Rust blog posts](https://web.archive.org/web/20190427124806/https://polysync.io/blog/session-types-for-hearty-codecs/).
+I've [talked previously]({% post_url 2019-06-31-high-performance-systems %}) about how important
+variance is in high-performance systems, so it was encouraging to read about a format that
+[directly addressed](https://github.com/real-logic/simple-binary-encoding/wiki/Why-Low-Latency) my
+concerns. SBE has by far the simplest binary format, but it does make some tradeoffs.
+
+Both Cap'n Proto and Flatbuffers use [message offsets](https://capnproto.org/encoding.html#structs)
+to handle variable-length data, [unions](https://capnproto.org/language.html#unions), and various
+other features. In contrast, messages in SBE are essentially
+[just structs](https://github.com/real-logic/simple-binary-encoding/blob/master/sbe-samples/src/main/resources/example-schema.xml);
+variable-length data is supported, but there's no union type.
+
+As mentioned in the beginning, the Rust port of SBE works well, but is
+[essentially unmaintained](https://users.rust-lang.org/t/zero-cost-abstraction-frontier-no-copy-low-allocation-ordered-decoding/11515/9).
+However, if you don't need union types, and can accept that schemas are XML documents, it's still
+worth using. SBE's implementation had the best streaming support of all formats I tested, and
+doesn't trigger allocation during de/serialization.
+
+# Results
+
+After building a test harness
+[for](https://github.com/speice-io/marketdata-shootout/blob/master/src/capnp_runner.rs)
+[each](https://github.com/speice-io/marketdata-shootout/blob/master/src/flatbuffers_runner.rs)
+[format](https://github.com/speice-io/marketdata-shootout/blob/master/src/sbe_runner.rs), it was
+time to actually take them for a spin. I used
+[this script](https://github.com/speice-io/marketdata-shootout/blob/master/run_shootout.sh) to run
+the benchmarks, and the raw results are
+[here](https://github.com/speice-io/marketdata-shootout/blob/master/shootout.csv). All data reported
+below is the average of 10 runs on a single day of IEX data. Results were validated to make sure
+that each format parsed the data correctly.
+
+## Serialization
+
+This test measures, on a
+[per-message basis](https://github.com/speice-io/marketdata-shootout/blob/master/src/main.rs#L268-L272),
+how long it takes to serialize the IEX message into the desired format and write to a pre-allocated
+buffer.
+
+| Schema               | Median | 99th Pctl | 99.9th Pctl | Total  |
+| :------------------- | :----- | :-------- | :---------- | :----- |
+| Cap'n Proto Packed   | 413ns  | 1751ns    | 2943ns      | 14.80s |
+| Cap'n Proto Unpacked | 273ns  | 1828ns    | 2836ns      | 10.65s |
+| Flatbuffers          | 355ns  | 2185ns    | 3497ns      | 14.31s |
+| SBE                  | 91ns   | 1535ns    | 2423ns      | 3.91s  |
+
+## Deserialization
+
+This test measures, on a
+[per-message basis](https://github.com/speice-io/marketdata-shootout/blob/master/src/main.rs#L294-L298),
+how long it takes to read the previously-serialized message and perform some basic aggregation. The
+aggregation code is the same for each format, so any performance differences are due solely to the
+format implementation.
+
+| Schema               | Median | 99th Pctl | 99.9th Pctl | Total  |
+| :------------------- | :----- | :-------- | :---------- | :----- |
+| Cap'n Proto Packed   | 539ns  | 1216ns    | 2599ns      | 18.92s |
+| Cap'n Proto Unpacked | 366ns  | 737ns     | 1583ns      | 12.32s |
+| Flatbuffers          | 173ns  | 421ns     | 1007ns      | 6.00s  |
+| SBE                  | 116ns  | 286ns     | 659ns       | 4.05s  |
+
+# Conclusion
+
+Building a benchmark turned out to be incredibly helpful in making a decision; because a "union"
+type isn't important to me, I can be confident that SBE best addresses my needs.
+
+While SBE was the fastest in terms of both median and worst-case performance, its worst case
+performance was proportionately far higher than any other format. It seems to be that
+de/serialization time scales with message size, but I'll need to do some more research to understand
+what exactly is going on.
diff --git a/_posts/2019-12-14-release-the-gil.md b/_posts/2019-12-14-release-the-gil.md
new file mode 100644
index 0000000..00b47a6
--- /dev/null
+++ b/_posts/2019-12-14-release-the-gil.md
@@ -0,0 +1,370 @@
+---
+layout: post
+title: "Release the GIL"
+description: "Strategies for Parallelism in Python"
+category:
+tags: [python]
+---
+
+Complaining about the [Global Interpreter Lock](https://wiki.python.org/moin/GlobalInterpreterLock)
+(GIL) seems like a rite of passage for Python developers. It's easy to criticize a design decision
+made before multi-core CPU's were widely available, but the fact that it's still around indicates
+that it generally works [Good](https://wiki.c2.com/?PrematureOptimization)
+[Enough](https://wiki.c2.com/?YouArentGonnaNeedIt). Besides, there are simple and effective
+workarounds; it's not hard to start a
+[new process](https://docs.python.org/3/library/multiprocessing.html) and use message passing to
+synchronize code running in parallel.
+
+Still, wouldn't it be nice to have more than a single active interpreter thread? In an age of
+asynchronicity and _M:N_ threading, Python seems lacking. The ideal scenario is to take advantage of
+both Python's productivity and the modern CPU's parallel capabilities.
+
+Presented below are two strategies for releasing the GIL's icy grip without giving up on what makes
+Python a nice language to start with. Bear in mind: these are just the tools, no claim is made about
+whether it's a good idea to use them. Very often, unlocking the GIL is an
+[XY problem](https://en.wikipedia.org/wiki/XY_problem); you want application performance, and the
+GIL seems like an obvious bottleneck. Remember that any gains from running code in parallel come at
+the expense of project complexity; messing with the GIL is ultimately messing with Python's memory
+model.
+
+```python
+%load_ext Cython
+from numba import jit
+
+N = 1_000_000_000
+```
+
+# Cython
+
+Put simply, [Cython](https://cython.org/) is a programming language that looks a lot like Python,
+gets [transpiled](https://en.wikipedia.org/wiki/Source-to-source_compiler) to C/C++, and integrates
+well with the [CPython](https://en.wikipedia.org/wiki/CPython) API. It's great for building Python
+wrappers to C and C++ libraries, writing optimized code for numerical processing, and tons more. And
+when it comes to managing the GIL, there are two special features:
+
+- The `nogil`
+  [function annotation](https://cython.readthedocs.io/en/latest/src/userguide/external_C_code.html#declaring-a-function-as-callable-without-the-gil)
+  asserts that a Cython function is safe to use without the GIL, and compilation will fail if it
+  interacts with Python in an unsafe manner
+- The `with nogil`
+  [context manager](https://cython.readthedocs.io/en/latest/src/userguide/external_C_code.html#releasing-the-gil)
+  explicitly unlocks the CPython GIL while active
+
+Whenever Cython code runs inside a `with nogil` block on a separate thread, the Python interpreter
+is unblocked and allowed to continue work elsewhere. We'll define a "busy work" function that
+demonstrates this principle in action:
+
+```python
+%%cython
+
+# Annotating a function with `nogil` indicates only that it is safe
+# to call in a `with nogil` block. It *does not* release the GIL.
+cdef unsigned long fibonacci(unsigned long n) nogil:
+    if n <= 1:
+        return n
+
+    cdef unsigned long a = 0, b = 1, c = 0
+
+    c = a + b
+    for _i in range(2, n):
+        a = b
+        b = c
+        c = a + b
+
+    return c
+
+
+def cython_nogil(unsigned long n):
+    # Explicitly release the GIL while running `fibonacci`
+    with nogil:
+        value = fibonacci(n)
+
+    return value
+
+
+def cython_gil(unsigned long n):
+    # Because the GIL is not explicitly released, it implicitly
+    # remains acquired when running the `fibonacci` function
+    return fibonacci(n)
+```
+
+First, let's time how long it takes Cython to calculate the billionth Fibonacci number:
+
+```python
+%%time
+_ = cython_gil(N);
+```
+
+> <pre>
+> CPU times: user 365 ms, sys: 0 ns, total: 365 ms
+> Wall time: 372 ms
+> </pre>
+
+```python
+%%time
+_ = cython_nogil(N);
+```
+
+> <pre>
+> CPU times: user 381 ms, sys: 0 ns, total: 381 ms
+> Wall time: 388 ms
+> </pre>
+
+Both versions (with and without GIL) take effectively the same amount of time to run. Even when
+running this calculation in parallel on separate threads, it is expected that the run time will
+double because only one thread can be active at a time:
+
+```python
+%%time
+from threading import Thread
+
+# Create the two threads to run on
+t1 = Thread(target=cython_gil, args=[N])
+t2 = Thread(target=cython_gil, args=[N])
+# Start the threads
+t1.start(); t2.start()
+# Wait for the threads to finish
+t1.join(); t2.join()
+```
+
+> <pre>
+> CPU times: user 641 ms, sys: 5.62 ms, total: 647 ms
+> Wall time: 645 ms
+> </pre>
+
+However, if the first thread releases the GIL, the second thread is free to acquire it and run in
+parallel:
+
+```python
+%%time
+
+t1 = Thread(target=cython_nogil, args=[N])
+t2 = Thread(target=cython_gil, args=[N])
+t1.start(); t2.start()
+t1.join(); t2.join()
+```
+
+> <pre>
+> CPU times: user 717 ms, sys: 372 µs, total: 718 ms
+> Wall time: 358 ms
+> </pre>
+
+Because `user` time represents the sum of processing time on all threads, it doesn't change much.
+The ["wall time"](https://en.wikipedia.org/wiki/Elapsed_real_time) has been cut roughly in half
+because each function is running simultaneously.
+
+Keep in mind that the **order in which threads are started** makes a difference!
+
+```python
+%%time
+
+# Note that the GIL-locked version is started first
+t1 = Thread(target=cython_gil, args=[N])
+t2 = Thread(target=cython_nogil, args=[N])
+t1.start(); t2.start()
+t1.join(); t2.join()
+```
+
+> <pre>
+> CPU times: user 667 ms, sys: 0 ns, total: 667 ms
+> Wall time: 672 ms
+> </pre>
+
+Even though the second thread releases the GIL while running, it can't start until the first has
+completed. Thus, the overall runtime is effectively the same as running two GIL-locked threads.
+
+Finally, be aware that attempting to unlock the GIL from a thread that doesn't own it will crash the
+**interpreter**, not just the thread attempting the unlock:
+
+```python
+%%cython
+
+cdef int cython_recurse(int n) nogil:
+    if n <= 0:
+        return 0
+
+    with nogil:
+        return cython_recurse(n - 1)
+
+cython_recurse(2)
+```
+
+> <pre>
+> Fatal Python error: PyEval_SaveThread: NULL tstate
+> 
+> Thread 0x00007f499effd700 (most recent call first):
+>   File "/home/bspeice/.virtualenvs/release-the-gil/lib/python3.7/site-packages/ipykernel/parentpoller.py", line 39 in run
+>   File "/usr/lib/python3.7/threading.py", line 926 in _bootstrap_inner
+>   File "/usr/lib/python3.7/threading.py", line 890 in _bootstrap
+> </pre>
+
+In practice, avoiding this issue is simple. First, `nogil` functions probably shouldn't contain
+`with nogil` blocks. Second, Cython can
+[conditionally acquire/release](https://cython.readthedocs.io/en/latest/src/userguide/external_C_code.html#conditional-acquiring-releasing-the-gil)
+the GIL, so these conditions can be used to synchronize access. Finally, Cython's documentation for
+[external C code](https://cython.readthedocs.io/en/latest/src/userguide/external_C_code.html#acquiring-and-releasing-the-gil)
+contains more detail on how to safely manage the GIL.
+
+To conclude: use Cython's `nogil` annotation to assert that functions are safe for calling when the
+GIL is unlocked, and `with nogil` to actually unlock the GIL and run those functions.
+
+# Numba
+
+Like Cython, [Numba](https://numba.pydata.org/) is a "compiled Python." Where Cython works by
+compiling a Python-like language to C/C++, Numba compiles Python bytecode _directly to machine code_
+at runtime. Behavior is controlled with a special `@jit` decorator; calling a decorated function
+first compiles it to machine code before running. Calling the function a second time re-uses that
+machine code unless the argument types have changed.
+
+Numba works best when a `nopython=True` argument is added to the `@jit` decorator; functions
+compiled in [`nopython`](http://numba.pydata.org/numba-doc/latest/user/jit.html?#nopython) mode
+avoid the CPython API and have performance comparable to C. Further, adding `nogil=True` to the
+`@jit` decorator unlocks the GIL while that function is running. Note that `nogil` and `nopython`
+are separate arguments; while it is necessary for code to be compiled in `nopython` mode in order to
+release the lock, the GIL will remain locked if `nogil=False` (the default).
+
+Let's repeat the same experiment, this time using Numba instead of Cython:
+
+```python
+# The `int` type annotation is only for humans and is ignored
+# by Numba.
+@jit(nopython=True, nogil=True)
+def numba_nogil(n: int) -> int:
+    if n <= 1:
+        return n
+
+    a = 0
+    b = 1
+
+    c = a + b
+    for _i in range(2, n):
+        a = b
+        b = c
+        c = a + b
+
+    return c
+
+
+# Run using `nopython` mode to receive a performance boost,
+# but GIL remains locked due to `nogil=False` by default.
+@jit(nopython=True)
+def numba_gil(n: int) -> int:
+    if n <= 1:
+        return n
+
+    a = 0
+    b = 1
+
+    c = a + b
+    for _i in range(2, n):
+        a = b
+        b = c
+        c = a + b
+
+    return c
+
+
+# Call each function once to force compilation; we don't want
+# the timing statistics to include how long it takes to compile.
+numba_nogil(N)
+numba_gil(N);
+```
+
+We'll perform the same tests as above; first, figure out how long it takes the function to run:
+
+```python
+%%time
+_ = numba_gil(N)
+```
+
+> <pre>
+> CPU times: user 253 ms, sys: 258 µs, total: 253 ms
+> Wall time: 251 ms
+> </pre>
+
+<span style="font-size: .8em">
+Aside: it's not immediately clear why Numba takes ~20% less time to run than Cython for code that should be
+effectively identical after compilation.
+</span>
+
+When running two GIL-locked threads, the result (as expected) takes around twice as long to compute:
+
+```python
+%%time
+t1 = Thread(target=numba_gil, args=[N])
+t2 = Thread(target=numba_gil, args=[N])
+t1.start(); t2.start()
+t1.join(); t2.join()
+```
+
+> <pre>
+> CPU times: user 541 ms, sys: 3.96 ms, total: 545 ms
+> Wall time: 541 ms
+> </pre>
+
+But if the GIL-unlocking thread starts first, both threads run in parallel:
+
+```python
+%%time
+t1 = Thread(target=numba_nogil, args=[N])
+t2 = Thread(target=numba_gil, args=[N])
+t1.start(); t2.start()
+t1.join(); t2.join()
+```
+
+> <pre>
+> CPU times: user 551 ms, sys: 7.77 ms, total: 559 ms
+> Wall time: 279 ms
+> </pre>
+
+Just like Cython, starting the GIL-locked thread first leads to poor performance:
+
+```python
+%%time
+t1 = Thread(target=numba_gil, args=[N])
+t2 = Thread(target=numba_nogil, args=[N])
+t1.start(); t2.start()
+t1.join(); t2.join()
+```
+
+> <pre>
+> CPU times: user 524 ms, sys: 0 ns, total: 524 ms
+> Wall time: 522 ms
+> </pre>
+
+Finally, unlike Cython, Numba will unlock the GIL if and only if it is currently acquired;
+recursively calling `@jit(nogil=True)` functions is perfectly safe:
+
+```python
+from numba import jit
+
+@jit(nopython=True, nogil=True)
+def numba_recurse(n: int) -> int:
+    if n <= 0:
+        return 0
+
+    return numba_recurse(n - 1)
+
+numba_recurse(2);
+```
+
+# Conclusion
+
+Before finishing, it's important to address pain points that will show up if these techniques are
+used in a more realistic project:
+
+First, code running in a GIL-free context will likely also need non-trivial data structures;
+GIL-free functions aren't useful if they're constantly interacting with Python objects whose access
+requires the GIL. Cython provides
+[extension types](http://docs.cython.org/en/latest/src/tutorial/cdef_classes.html) and Numba
+provides a [`@jitclass`](https://numba.pydata.org/numba-doc/dev/user/jitclass.html) decorator to
+address this need.
+
+Second, building and distributing applications that make use of Cython/Numba can be complicated.
+Cython packages require running the compiler, (potentially) linking/packaging external dependencies,
+and distributing a binary wheel. Numba is generally simpler because the code being distributed is
+pure Python, but can be tricky since errors aren't detected until runtime.
+
+Finally, while unlocking the GIL is often a solution in search of a problem, both Cython and Numba
+provide tools to directly manage the GIL when appropriate. This enables true parallelism (not just
+[concurrency](https://stackoverflow.com/a/1050257)) that is impossible in vanilla Python.
diff --git a/_posts/2022-11-20-webpack-industrial-complex.md b/_posts/2022-11-20-webpack-industrial-complex.md
new file mode 100644
index 0000000..33fe67a
--- /dev/null
+++ b/_posts/2022-11-20-webpack-industrial-complex.md
@@ -0,0 +1,60 @@
+---
+layout: post
+title: "The webpack industrial complex"
+description: "Reflections on a new project"
+category:
+tags: [webpack, react, vite]
+---
+
+This started because I wanted to build a synthesizer. Setting a goal of "digital DX7" was ambitious, but I needed something unrelated to the day job. Beyond that, working with audio seemed like a good challenge. I enjoy performance-focused code, and performance problems in audio are conspicuous. Building a web project was an obvious choice because of the web audio API documentation and independence from a large Digital Audio Workstation (DAW).
+
+The project was soon derailed trying to sort out technical issues unrelated to the original purpose. Finding a resolution was a frustrating journey, and it's still not clear whether those problems were my fault. As a result, I'm writing this to try making sense of it, as a case study/reference material, and to salvage something from the process.
+
+## Starting strong
+
+The sole starting requirement was to write everything in TypeScript. Not because of project scale, but because guardrails help with unfamiliar territory. Keeping that in mind, the first question was: how does one start a new project? All I actually need is "compile TypeScript, show it in a browser."
+
+Create React App (CRA) came to the rescue and the rest of that evening was a joy. My TypeScript/JavaScript skills were rusty, but the online documentation was helpful. I had never understood the appeal of JSX (why put a DOM in JavaScript?) until it made connecting an `onEvent` handler and a function easy.
+
+Some quick dimensional analysis later and there was a sine wave oscillator playing A=440 through the speakers. I specifically remember thinking "modern browsers are magical."
+
+## Continuing on
+
+Now comes the first mistake: I began to worry about "scale" before encountering an actual problem. Rather than rendering audio in the main thread, why not use audio worklets and render in a background thread instead?
+
+The first sign something was amiss came from the TypeScript compiler errors showing the audio worklet API [was missing](https://github.com/microsoft/TypeScript/issues/28308). After searching out Github issues and (unsuccessfully) tweaking the `.tsconfig` settings, I settled on installing a package and moving on.
+
+The next problem came from actually using the API. Worklets must load from separate "modules," but it wasn't clear how to guarantee the worklet code stayed separate from the application. I saw recommendations to use `new URL(<local path>, import.meta.url)` and it worked! Well, kind of:
+
+![Browser error](/assets/images/2022-11-20-video_mp2t.png)
+
+That file has the audio processor code, so why does it get served with `Content-Type: video/mp2t`?
+
+## Floundering about
+
+Now comes the second mistake: even though I didn't understand the error, I ignored recommendations to [just use JavaScript](https://hackernoon.com/implementing-audioworklets-with-react-8a80a470474) and stuck by the original TypeScript requirement.
+
+I tried different project structures. Moving the worklet code to a new folder didn't help, nor did setting up a monorepo and placing it in a new package.
+
+I tried three different CRA tools - `react-app-rewired`, `craco`, `customize-react-app` - but got the same problem. Each has varying levels of compatibility with recent CRA versions, so it wasn't clear if I had the right solution but implemented it incorrectly. After attempting to eject the application and panicking after seeing the configuration, I abandoned that as well.
+
+I tried changing the webpack configuration: using [new](https://github.com/webpack/webpack/issues/11543#issuecomment-917673256) [loaders](https://github.com/popelenkow/worker-url), setting [asset rules](https://github.com/webpack/webpack/discussions/14093#discussioncomment-1257149), even [changing how webpack detects worker resources](https://github.com/webpack/webpack/issues/11543#issuecomment-826897590). In hindsight, entry points may have been the answer. But because CRA actively resists attempts to change its webpack configuration, and I couldn't find audio worklet examples in any other framework, I gave up.
+
+I tried so many application frameworks. Next.js looked like a good candidate, but added its own [bespoke webpack complexity](https://github.com/vercel/next.js/issues/24907) to the existing confusion. Astro had the best "getting started" experience, but I refuse to install an IDE-specific plugin. I first used Deno while exploring Lume, but it couldn't import the audio worklet types (maybe because of module compatibility?). Each framework was unique in its own way (shout-out to SvelteKit) but I couldn't figure out how to make them work.
+
+## Learning and reflecting
+
+I ended up using Vite and vite-plugin-react-pages to handle both "build the app" and "bundle worklets," but the specific tool choice isn't important. Instead, the focus should be on lessons learned.
+
+For myself:
+
+- I'm obsessed with tooling, to the point it can derail the original goal. While it comes from a good place (for example: "types are awesome"), it can get in the way of more important work
+- I tend to reach for online resources right after seeing a new problem. While finding help online is often faster, spending time understanding the problem would have been more productive than cycling through (often outdated) blog posts
+
+For the tools:
+
+- Resource bundling is great and solves a genuine challenge. I've heard too many horror stories of developers writing modules by hand to believe this is unnecessary complexity
+- Webpack is a build system and modern frameworks are deeply dependent on it (hence the "webpack industrial complex"). While this often saves users from unnecessary complexity, there's no path forward if something breaks
+- There's little ability to mix and match tools across frameworks. Next.js and Gatsby let users extend webpack, but because each framework adds its own modules, changes aren't portable. After spending a week looking at webpack, I had an example running with parcel in thirty minutes, but couldn't integrate it
+
+In the end, learning new systems is fun, but a focus on tools that "just work" can leave users out in the cold if they break down.
\ No newline at end of file
diff --git a/assets/css/fonts.css b/assets/css/fonts.css
new file mode 100644
index 0000000..e07ecfc
--- /dev/null
+++ b/assets/css/fonts.css
@@ -0,0 +1,15 @@
+@font-face {
+    font-family: 'JetBrains Mono';
+    src: url('/assets/font/JetBrainsMono-Regular.woff2') format('woff2'),
+         url('/assets/font/JetBrainsMono-Regular.woff') format('woff');
+    font-weight: normal;
+    font-style: normal;
+}
+
+@font-face {
+    font-family: 'Lato';
+    src: url('/assets/font/lato-regular-webfont.woff2') format('woff2'),
+         url('/assets/font/lato-regular-webfont.woff') format('woff');
+    font-weight: normal;
+    font-style: normal;
+}
\ No newline at end of file
diff --git a/assets/css/style.scss b/assets/css/style.scss
new file mode 100644
index 0000000..ea280e2
--- /dev/null
+++ b/assets/css/style.scss
@@ -0,0 +1,119 @@
+---
+---
+
+// Import the theme rules
+@import "theme";
+
+body {
+    max-width: 100%;
+    overflow-x: hidden;
+    font-family: 'Lato', sans-serif;
+}
+
+.navbar {
+    color: $gray;
+}
+
+.separator {
+    margin-right: .45rem;
+    margin-left: .25rem;
+    color: #000;
+    &:after {
+        content: '\00a0/';
+    }
+}
+
+header {
+    padding-top: 80px;
+    padding-bottom: 0;
+};
+
+header h1,h2 {
+    color: #000;
+}
+
+.post-description {
+    color: #555;
+}
+
+.post-container a {
+    color: #555;
+    border-bottom-color: $gray;
+    border-bottom-style: dotted;
+    border-bottom-width: 1px;
+
+    position: relative;
+    display: inline-block;
+    padding: 1px 1px;
+    transition: color ease 0.3s;
+
+    &::after {
+      content: '';
+      position: absolute;
+      z-index: -1;
+      width: 100%;
+      height: 0%;
+      left: 0;
+      bottom: 0;
+      background-color: $gray;
+      transition: all ease 0.3s;
+    }
+
+    &:hover {
+      color: #fff;
+      border-bottom-style: solid;
+      &::after {
+        height: 100%;
+      }
+    }
+}
+
+body pre {
+    font-size: 15px;
+}
+
+pre.highlight, code {
+    font-family: 'JetBrains Mono', monospace;
+}
+
+div.highlighter-rouge {
+    // Default theme uses `width: 100vw`, which while cool, does cause the page
+    // to exceed screen width and trigger horizontal scrolling. No bueno.
+    width: 99vw;
+}
+
+.post-date {
+    // On the front page, make sure titles don't force wrapping the date box content
+    text-align: right;
+    white-space: nowrap;
+}
+
+blockquote {
+    color: #555;
+    right: 100px;
+    margin-left: 0;
+    padding-left: 1.8rem;
+    border-left: 5px solid $gray;
+}
+
+.post-nav {
+    /* Insert your custom styling here. Example:
+
+       font-size: 14px;
+    */
+    display: flex;
+    margin-top: 1em;
+    margin-bottom: 1em;
+}
+.post-nav div {
+    /* flex-grow, flex-shrink, flex-basis */
+    flex: 1 1 0;
+}
+.post-nav-next {
+    text-align: right;
+}
+
+th, td {
+    border-bottom: 1px solid $gray;
+    padding: 0.75em;
+}
diff --git a/assets/font/JetBrainsMono-Regular.woff b/assets/font/JetBrainsMono-Regular.woff
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diff --git a/index.md b/index.md
new file mode 100644
index 0000000..0671507
--- /dev/null
+++ b/index.md
@@ -0,0 +1,6 @@
+---
+# Feel free to add content and custom Front Matter to this file.
+# To modify the layout, see https://jekyllrb.com/docs/themes/#overriding-theme-defaults
+
+layout: home
+---
diff --git a/package-lock.json b/package-lock.json
deleted file mode 100644
index cb7cc88..0000000
--- a/package-lock.json
+++ /dev/null
@@ -1,3711 +0,0 @@
-{
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-  "version": "0.0.0",
-  "lockfileVersion": 3,
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-        "vite": "bin/vite.js"
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-        "node": "^14.18.0 || >=16.0.0"
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-        "fsevents": "~2.3.2"
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-      "peerDependencies": {
-        "@types/node": ">= 14",
-        "less": "*",
-        "sass": "*",
-        "stylus": "*",
-        "sugarss": "*",
-        "terser": "^5.4.0"
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-        "@types/node": {
-          "optional": true
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-          "optional": true
-        },
-        "sass": {
-          "optional": true
-        },
-        "stylus": {
-          "optional": true
-        },
-        "sugarss": {
-          "optional": true
-        },
-        "terser": {
-          "optional": true
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diff --git a/package.json b/package.json
deleted file mode 100644
index 72ccb11..0000000
--- a/package.json
+++ /dev/null
@@ -1,43 +0,0 @@
-{
-  "name": "speice.io",
-  "private": true,
-  "version": "0.0.0",
-  "type": "module",
-  "scripts": {
-    "dev": "vite",
-    "build": "tsc && vite build",
-    "preview": "vite preview",
-    "prepare": "husky install"
-  },
-  "dependencies": {
-    "@fontsource/jetbrains-mono": "^4.5.12",
-    "@fontsource/lato": "^4.5.10",
-    "@fortawesome/fontawesome-svg-core": "^6.4.0",
-    "@fortawesome/free-brands-svg-icons": "^6.4.0",
-    "@fortawesome/free-regular-svg-icons": "^6.4.0",
-    "@fortawesome/free-solid-svg-icons": "^6.4.0",
-    "@fortawesome/react-fontawesome": "^0.2.0",
-    "@mdx-js/react": "^2.3.0",
-    "highlight.js": "^11.7.0",
-    "katex": "^0.16.6",
-    "normalize.css": "^8.0.1",
-    "react": "^18.2.0",
-    "react-dom": "^18.2.0",
-    "remark-frontmatter": "^4.0.1"
-  },
-  "devDependencies": {
-    "@bspeice/vite-plugin-blog": "^1.1.0",
-    "@mdx-js/rollup": "^2.3.0",
-    "@types/react": "^18.0.28",
-    "@types/react-dom": "^18.0.11",
-    "@vitejs/plugin-react-swc": "^3.0.0",
-    "husky": "^8.0.0",
-    "pretty-quick": "^3.1.3",
-    "rehype-highlight": "^6.0.0",
-    "rehype-katex": "^6.0.3",
-    "remark-math": "^5.1.1",
-    "remark-mdx-frontmatter": "^3.0.0",
-    "typescript": "^4.9.3",
-    "vite": "^4.2.0"
-  }
-}
diff --git a/pages/LayoutBase.tsx b/pages/LayoutBase.tsx
deleted file mode 100644
index 1bdd837..0000000
--- a/pages/LayoutBase.tsx
+++ /dev/null
@@ -1,16 +0,0 @@
-import { PropsWithChildren, StrictMode } from "react";
-
-import "./style.css";
-import Navbar from "./Navbar";
-
-const Layout: React.FC<PropsWithChildren> = ({ children }) => (
-  <StrictMode>
-    <div className="gridOffset">
-      <Navbar />
-      <hr style={{ marginTop: "0" }} />
-      {children}
-    </div>
-  </StrictMode>
-);
-
-export default Layout;
diff --git a/pages/LayoutPage.tsx b/pages/LayoutPage.tsx
deleted file mode 100644
index d2a2cb7..0000000
--- a/pages/LayoutPage.tsx
+++ /dev/null
@@ -1,12 +0,0 @@
-import { PropsWithChildren } from "react";
-
-import Base from "./LayoutBase";
-
-const Layout: React.FC<PropsWithChildren> = ({ children }) => (
-  <Base>
-    <h1>The Old Speice Guy</h1>
-    {children}
-  </Base>
-);
-
-export default Layout;
diff --git a/pages/Navbar.tsx b/pages/Navbar.tsx
deleted file mode 100644
index a9796e2..0000000
--- a/pages/Navbar.tsx
+++ /dev/null
@@ -1,18 +0,0 @@
-import { FontAwesomeIcon } from "@fortawesome/react-fontawesome";
-import { faHome, faUser } from "@fortawesome/free-solid-svg-icons";
-
-const Navbar: React.FC = () => (
-  <span className="navbar">
-    <a href="/">
-      <FontAwesomeIcon icon={faHome} className="icon" />
-      Home
-    </a>
-    <span>/</span>
-    <a href="/about">
-      <FontAwesomeIcon icon={faUser} className="icon" />
-      About
-    </a>
-  </span>
-);
-
-export default Navbar;
diff --git a/pages/about.mdx b/pages/about.mdx
deleted file mode 100644
index c2791ff..0000000
--- a/pages/about.mdx
+++ /dev/null
@@ -1,23 +0,0 @@
-import { FontAwesomeIcon } from "@fortawesome/react-fontawesome";
-import { faGithub, faLinkedin } from "@fortawesome/free-brands-svg-icons";
-import { faEnvelope } from "@fortawesome/free-solid-svg-icons";
-
-import Layout from "./LayoutPage";
-export default Layout;
-
-Developer living in New York City
-
-> <FontAwesomeIcon
->   icon={faEnvelope}
->   style={{ color: "var(--color-secondary)" }}
-> /> [bradlee@speice.io](mailto:bradlee@speice.io)
->
-> <FontAwesomeIcon
->   icon={faGithub}
->   style={{ color: "var(--color-secondary)" }}
-> /> [bspeice](https://github.com/bspeice)
->
-> <FontAwesomeIcon
->   icon={faLinkedin}
->   style={{ color: "var(--color-secondary)" }}
-> /> [bradleespeice](https://www.linkedin.com/in/bradleespeice/)
diff --git a/pages/index.tsx b/pages/index.tsx
deleted file mode 100644
index 54997d0..0000000
--- a/pages/index.tsx
+++ /dev/null
@@ -1,18 +0,0 @@
-import Layout from "./LayoutPage";
-
-export const Page = () => (
-  <>
-    <p>Is this thing on?</p>
-    <p>
-      <a href="/2019/02/the-whole-world">Code</a>
-    </p>
-  </>
-);
-
-export default function () {
-  return (
-    <Layout>
-      <Page />
-    </Layout>
-  );
-}
diff --git a/pages/style.css b/pages/style.css
deleted file mode 100644
index 43e820d..0000000
--- a/pages/style.css
+++ /dev/null
@@ -1,130 +0,0 @@
-@import "normalize.css";
-
-@import "@fontsource/lato";
-@import "@fontsource/jetbrains-mono";
-@import "highlight.js/styles/atom-one-dark.css";
-@import "katex/dist/katex.min.css";
-
-:root {
-  --color-primary: #000;
-  --color-secondary: #777;
-  --color-tertiary: #999;
-  --color-highlight: #f4f4f4;
-
-  --color-primary-highlight: #fff;
-  --color-secondary-highlight: #999;
-}
-
-body {
-  font-family: "Lato", sans-serif;
-  font-size: 15pt;
-  line-height: 1.5;
-}
-
-h1,
-h2,
-h3,
-h4,
-h5,
-h6 {
-  margin-top: 0.6em;
-  margin-bottom: 0;
-}
-
-h3 {
-  color: var(--color-secondary);
-}
-
-h4,
-h5,
-h6 {
-  color: var(--color-tertiary);
-}
-
-a {
-  color: var(--color-secondary);
-}
-
-p,
-ul {
-  margin-top: 0.5em;
-  margin-bottom: 0.5em;
-}
-
-pre {
-  padding: 1em 0;
-}
-
-code {
-  font-family: "JetBrains Mono", monospace;
-  font-size: 13pt;
-  background-color: var(--color-highlight);
-}
-
-a,
-a > code {
-  text-decoration: dotted;
-  border-color: var(--color-secondary);
-  border-bottom-style: dotted;
-  border-bottom-width: 1px;
-}
-
-a,
-a > code {
-  transition: all ease 0.5s;
-}
-
-a:hover,
-a:hover > code,
-a > code:hover {
-  color: var(--color-primary-highlight);
-  background-color: var(--color-secondary-highlight);
-  border-bottom: none;
-}
-
-.gridOffset {
-  display: grid;
-  grid-template-columns:
-    [full-start] minmax(1em, 2fr)
-    [main-start] minmax(0, 42em) [main-end]
-    minmax(0, 5fr) [full-end];
-}
-
-.gridOffset > * {
-  grid-column: main;
-}
-
-.gridOffset hr {
-  display: inherit;
-  grid-column: main;
-  grid-template-columns: inherit;
-  border-style: solid;
-  border-color: var(--color-secondary);
-}
-
-.gridOffset > pre {
-  display: inherit;
-  grid-column: full;
-  grid-template-columns: inherit;
-}
-
-.gridOffset > pre > code {
-  grid-column: main / full;
-}
-
-.navbar {
-  text-align: right;
-  margin-top: 0.5em;
-  margin-bottom: 0.5em;
-}
-
-.navbar :not(.icon) {
-  padding-left: 0.25em;
-  padding-right: 0.25em;
-  text-decoration: none;
-  border-bottom-style: none;
-}
-
-.icon {
-  margin-right: 0.3em;
-}
diff --git a/posts/LayoutBlog.tsx b/posts/LayoutBlog.tsx
deleted file mode 100644
index 1732adf..0000000
--- a/posts/LayoutBlog.tsx
+++ /dev/null
@@ -1,49 +0,0 @@
-import { FontAwesomeIcon } from "@fortawesome/react-fontawesome";
-import { faCalendar } from "@fortawesome/free-solid-svg-icons";
-import { MDXProvider } from "@mdx-js/react";
-import React, { PropsWithChildren } from "react";
-
-import Base from "../pages/LayoutBase";
-
-interface BlogProps {
-  title: string;
-  description: string;
-  published: string;
-  updated?: string;
-}
-
-const components = {
-  pre: (props: any) => <pre className="hljs" {...props} />,
-};
-
-export default function Layout({
-  title,
-  description,
-  published,
-  updated,
-}: BlogProps): React.FC<PropsWithChildren> {
-  const header = (
-    <div className="header">
-      <h1>{title}</h1>
-      <h3>{description}</h3>
-      <h4>
-        <FontAwesomeIcon
-          icon={faCalendar}
-          scale={1.2}
-          className="icon icon-post"
-        />
-        {published}
-      </h4>
-      {updated && <p>Last updated: {updated}</p>}
-    </div>
-  );
-
-  const withChildren: React.FC<PropsWithChildren> = ({ children }) => (
-    <Base>
-      {header}
-      <div style={{ paddingTop: "2em" }} />
-      <MDXProvider components={components}>{children}</MDXProvider>
-    </Base>
-  );
-  return withChildren;
-}
diff --git a/tsconfig.json b/tsconfig.json
deleted file mode 100644
index 97d2803..0000000
--- a/tsconfig.json
+++ /dev/null
@@ -1,19 +0,0 @@
-{
-  "compilerOptions": {
-    "target": "ESNext",
-    "useDefineForClassFields": true,
-    "lib": ["DOM", "DOM.Iterable", "ESNext"],
-    "allowJs": true,
-    "skipLibCheck": true,
-    "esModuleInterop": false,
-    "allowSyntheticDefaultImports": true,
-    "strict": true,
-    "forceConsistentCasingInFileNames": true,
-    "module": "ESNext",
-    "moduleResolution": "Node",
-    "resolveJsonModule": true,
-    "isolatedModules": true,
-    "noEmit": true,
-    "jsx": "react-jsx"
-  }
-}
diff --git a/vite.config.ts b/vite.config.ts
deleted file mode 100644
index 7fcbed8..0000000
--- a/vite.config.ts
+++ /dev/null
@@ -1,30 +0,0 @@
-import { defineConfig } from "vite";
-import blog from "@bspeice/vite-plugin-blog";
-import mdx from "@mdx-js/rollup";
-import react from "@vitejs/plugin-react-swc";
-import rehypeHighlight from "rehype-highlight";
-import rehypeKatex from "rehype-katex";
-import remarkFrontmatter from "remark-frontmatter";
-import remarkMath from "remark-math";
-import remarkMdxFrontmatter from "remark-mdx-frontmatter";
-
-export default defineConfig({
-  build: {
-    rollupOptions: {
-      external: ["react-icons"],
-    },
-  },
-  plugins: [
-    blog({
-      "/": "/pages/index.tsx",
-      "/about": "/pages/about.mdx",
-      "/2019/02/the-whole-world": "/posts/2019/02/the-whole-world.mdx",
-    }),
-    mdx({
-      remarkPlugins: [remarkFrontmatter, remarkMath, remarkMdxFrontmatter],
-      rehypePlugins: [rehypeHighlight, rehypeKatex],
-      providerImportSource: "@mdx-js/react",
-    }),
-    react(),
-  ],
-});