diff --git a/blog/2018-12-15-allocation-safety/index.mdx b/blog/2018-12-15-allocation-safety/index.mdx
index 9333459..2579024 100644
--- a/blog/2018-12-15-allocation-safety/index.mdx
+++ b/blog/2018-12-15-allocation-safety/index.mdx
@@ -12,7 +12,7 @@ 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](../2018-10-08-case-study-optimization)
+> -- [me](/2018/10/case-study-optimization)
 
 I proceeded to ignore it, because we never really learn from our mistakes.
 
diff --git a/blog/2019-02-04-understanding-allocations-in-rust/_article.md b/blog/2019-02-04-understanding-allocations-in-rust/_article.md
new file mode 100644
index 0000000..48b9df6
--- /dev/null
+++ b/blog/2019-02-04-understanding-allocations-in-rust/_article.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/blog/2019-02-04-understanding-allocations-in-rust/index.mdx b/blog/2019-02-04-understanding-allocations-in-rust/index.mdx
new file mode 100644
index 0000000..4d73e40
--- /dev/null
+++ b/blog/2019-02-04-understanding-allocations-in-rust/index.mdx
@@ -0,0 +1,102 @@
+---
+slug: 2019/02/understanding-allocations-in-rust
+title: "Allocations in Rust: Foreword"
+date: 2019-02-04 12:00:00
+authors: [bspeice]
+tags: []
+---
+
+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.
+
+<!-- truncate -->
+
+---
+
+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/blog/2019-02-05-the-whole-world/_article.md b/blog/2019-02-05-the-whole-world/_article.md
new file mode 100644
index 0000000..ef3bc47
--- /dev/null
+++ b/blog/2019-02-05-the-whole-world/_article.md
@@ -0,0 +1,337 @@
+---
+layout: post
+title: "Global Memory Usage: The Whole World"
+description: "Static considered slightly less harmful."
+category:
+tags: [rust, understanding-allocations]
+---
+
+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
+[`'static`](https://doc.rust-lang.org/book/ch10-03-lifetime-syntax.html#the-static-lifetime) as a
+lifetime), we can make use of global memory. This special section of data is embedded directly in
+the program binary so that variables are ready to go once the program loads; no additional
+computation is necessary.
+
+Understanding the value/reference distinction is important for reasons we'll go into below, and
+while the
+[full specification](https://github.com/rust-lang/rfcs/blob/master/text/0246-const-vs-static.md) for
+these two keywords is available, we'll take a hands-on approach to the topic.
+
+# **const**
+
+When a _value_ is guaranteed to be unchanging in your program (where "value" may be scalars,
+`struct`s, etc.), you can declare it `const`. This tells the compiler that it's safe to treat the
+value as never changing, and enables some interesting optimizations; not only is there no
+initialization cost to creating the value (it is loaded at the same time as the executable parts of
+your program), but the compiler can also copy the value around if it speeds up the code.
+
+The points we need to address when talking about `const` are:
+
+- `Const` values are stored in read-only memory - it's impossible to modify.
+- Values resulting from calling a `const fn` are materialized at compile-time.
+- The compiler may (or may not) copy `const` values wherever it chooses.
+
+## Read-Only
+
+The first point is a bit strange - "read-only memory."
+[The Rust book](https://doc.rust-lang.org/book/ch03-01-variables-and-mutability.html#differences-between-variables-and-constants)
+mentions in a couple places that using `mut` with constants is illegal, but it's also important to
+demonstrate just how immutable they are. _Typically_ in Rust you can use
+[interior mutability](https://doc.rust-lang.org/book/ch15-05-interior-mutability.html) to modify
+things that aren't declared `mut`.
+[`RefCell`](https://doc.rust-lang.org/std/cell/struct.RefCell.html) provides an example of this
+pattern in action:
+
+```rust
+use std::cell::RefCell;
+
+fn my_mutator(cell: &RefCell<u8>) {
+    // Even though we're given an immutable reference,
+    // the `replace` method allows us to modify the inner value.
+    cell.replace(14);
+}
+
+fn main() {
+    let cell = RefCell::new(25);
+    // Prints out 25
+    println!("Cell: {:?}", cell);
+    my_mutator(&cell);
+    // Prints out 14
+    println!("Cell: {:?}", cell);
+}
+```
+
+--
+[Rust Playground](https://play.rust-lang.org/?version=stable&mode=debug&edition=2018&gist=8e4bea1a718edaff4507944e825a54b2)
+
+When `const` is involved though, interior mutability is impossible:
+
+```rust
+use std::cell::RefCell;
+
+const CELL: RefCell<u8> = RefCell::new(25);
+
+fn my_mutator(cell: &RefCell<u8>) {
+    cell.replace(14);
+}
+
+fn main() {
+    // First line prints 25 as expected
+    println!("Cell: {:?}", &CELL);
+    my_mutator(&CELL);
+    // Second line *still* prints 25
+    println!("Cell: {:?}", &CELL);
+}
+```
+
+--
+[Rust Playground](https://play.rust-lang.org/?version=stable&mode=debug&edition=2018&gist=88fe98110c33c1b3a51e341f48b8ae00)
+
+And a second example using [`Once`](https://doc.rust-lang.org/std/sync/struct.Once.html):
+
+```rust
+use std::sync::Once;
+
+const SURPRISE: Once = Once::new();
+
+fn main() {
+    // This is how `Once` is supposed to be used
+    SURPRISE.call_once(|| println!("Initializing..."));
+    // Because `Once` is a `const` value, we never record it
+    // having been initialized the first time, and this closure
+    // will also execute.
+    SURPRISE.call_once(|| println!("Initializing again???"));
+}
+```
+
+--
+[Rust Playground](https://play.rust-lang.org/?version=stable&mode=debug&edition=2018&gist=c3cc5979b5e5434eca0f9ec4a06ee0ed)
+
+When the
+[`const` specification](https://github.com/rust-lang/rfcs/blob/26197104b7bb9a5a35db243d639aee6e46d35d75/text/0246-const-vs-static.md)
+refers to ["rvalues"](http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2010/n3055.pdf), this
+behavior is what they refer to. [Clippy](https://github.com/rust-lang/rust-clippy) will treat this
+as an error, but it's still something to be aware of.
+
+## Initialization == Compilation
+
+The next thing to mention is that `const` values are loaded into memory _as part of your program
+binary_. Because of this, any `const` values declared in your program will be "realized" at
+compile-time; accessing them may trigger a main-memory lookup (with a fixed address, so your CPU may
+be able to prefetch the value), but that's it.
+
+```rust
+use std::cell::RefCell;
+
+const CELL: RefCell<u32> = RefCell::new(24);
+
+pub fn multiply(value: u32) -> u32 {
+    // CELL is stored at `.L__unnamed_1`
+    value * (*CELL.get_mut())
+}
+```
+
+-- [Compiler Explorer](https://godbolt.org/z/Th8boO)
+
+The compiler creates one `RefCell`, uses it everywhere, and never needs to call the `RefCell::new`
+function.
+
+## Copying
+
+If it's helpful though, the compiler can choose to copy `const` values.
+
+```rust
+const FACTOR: u32 = 1000;
+
+pub fn multiply(value: u32) -> u32 {
+    // See assembly line 4 for the `mov edi, 1000` instruction
+    value * FACTOR
+}
+
+pub fn multiply_twice(value: u32) -> u32 {
+    // See assembly lines 22 and 29 for `mov edi, 1000` instructions
+    value * FACTOR * FACTOR
+}
+```
+
+-- [Compiler Explorer](https://godbolt.org/z/ZtS54X)
+
+In this example, the `FACTOR` value is turned into the `mov edi, 1000` instruction in both the
+`multiply` and `multiply_twice` functions; the "1000" value is never "stored" anywhere, as it's
+small enough to inline into the assembly instructions.
+
+Finally, getting the address of a `const` value is possible, but not guaranteed to be unique
+(because the compiler can choose to copy values). I was unable to get non-unique pointers in my
+testing (even using different crates), but the specifications are clear enough: _don't rely on
+pointers to `const` values being consistent_. To be frank, caring about locations for `const` values
+is almost certainly a code smell.
+
+# **static**
+
+Static variables are related to `const` variables, but take a slightly different approach. When we
+declare that a _reference_ is unique for the life of a program, you have a `static` variable
+(unrelated to the `'static` lifetime). Because of the reference/value distinction with
+`const`/`static`, static variables behave much more like typical "global" variables.
+
+But to understand `static`, here's what we'll look at:
+
+- `static` variables are globally unique locations in memory.
+- Like `const`, `static` variables are loaded at the same time as your program being read into
+  memory.
+- All `static` variables must implement the
+  [`Sync`](https://doc.rust-lang.org/std/marker/trait.Sync.html) marker trait.
+- Interior mutability is safe and acceptable when using `static` variables.
+
+## Memory Uniqueness
+
+The single biggest difference between `const` and `static` is the guarantees provided about
+uniqueness. Where `const` variables may or may not be copied in code, `static` variables are
+guarantee to be unique. If we take a previous `const` example and change it to `static`, the
+difference should be clear:
+
+```rust
+static FACTOR: u32 = 1000;
+
+pub fn multiply(value: u32) -> u32 {
+    // The assembly to `mul dword ptr [rip + example::FACTOR]` is how FACTOR gets used
+    value * FACTOR
+}
+
+pub fn multiply_twice(value: u32) -> u32 {
+    // The assembly to `mul dword ptr [rip + example::FACTOR]` is how FACTOR gets used
+    value * FACTOR * FACTOR
+}
+```
+
+-- [Compiler Explorer](https://godbolt.org/z/uxmiRQ)
+
+Where [previously](#copying) there were plenty of references to multiplying by 1000, the new
+assembly refers to `FACTOR` as a named memory location instead. No initialization work needs to be
+done, but the compiler can no longer prove the value never changes during execution.
+
+## Initialization == Compilation
+
+Next, let's talk about initialization. The simplest case is initializing static variables with
+either scalar or struct notation:
+
+```rust
+#[derive(Debug)]
+struct MyStruct {
+    x: u32
+}
+
+static MY_STRUCT: MyStruct = MyStruct {
+    // You can even reference other statics
+    // declared later
+    x: MY_VAL
+};
+
+static MY_VAL: u32 = 24;
+
+fn main() {
+    println!("Static MyStruct: {:?}", MY_STRUCT);
+}
+```
+
+--
+[Rust Playground](https://play.rust-lang.org/?version=stable&mode=debug&edition=2018&gist=b538dbc46076f12db047af4f4403ee6e)
+
+Things can get a bit weirder when using `const fn` though. In most cases, it just works:
+
+```rust
+#[derive(Debug)]
+struct MyStruct {
+    x: u32
+}
+
+impl MyStruct {
+    const fn new() -> MyStruct {
+        MyStruct { x: 24 }
+    }
+}
+
+static MY_STRUCT: MyStruct = MyStruct::new();
+
+fn main() {
+    println!("const fn Static MyStruct: {:?}", MY_STRUCT);
+}
+```
+
+--
+[Rust Playground](https://play.rust-lang.org/?version=stable&mode=debug&edition=2018&gist=8c796a6e7fc273c12115091b707b0255)
+
+However, there's a caveat: you're currently not allowed to use `const fn` to initialize static
+variables of types that aren't marked `Sync`. For example,
+[`RefCell::new()`](https://doc.rust-lang.org/std/cell/struct.RefCell.html#method.new) is a
+`const fn`, but because
+[`RefCell` isn't `Sync`](https://doc.rust-lang.org/std/cell/struct.RefCell.html#impl-Sync), you'll
+get an error at compile time:
+
+```rust
+use std::cell::RefCell;
+
+// error[E0277]: `std::cell::RefCell<u8>` cannot be shared between threads safely
+static MY_LOCK: RefCell<u8> = RefCell::new(0);
+```
+
+--
+[Rust Playground](https://play.rust-lang.org/?version=stable&mode=debug&edition=2018&gist=c76ef86e473d07117a1700e21fd45560)
+
+It's likely that this will
+[change in the future](https://github.com/rust-lang/rfcs/blob/master/text/0911-const-fn.md) though.
+
+## **Sync**
+
+Which leads well to the next point: static variable types must implement the
+[`Sync` marker](https://doc.rust-lang.org/std/marker/trait.Sync.html). Because they're globally
+unique, it must be safe for you to access static variables from any thread at any time. Most
+`struct` definitions automatically implement the `Sync` trait because they contain only elements
+which themselves implement `Sync` (read more in the
+[Nomicon](https://doc.rust-lang.org/nomicon/send-and-sync.html)). This is why earlier examples could
+get away with initializing statics, even though we never included an `impl Sync for MyStruct` in the
+code. To demonstrate this property, Rust refuses to compile our earlier example if we add a
+non-`Sync` element to the `struct` definition:
+
+```rust
+use std::cell::RefCell;
+
+struct MyStruct {
+    x: u32,
+    y: RefCell<u8>,
+}
+
+// error[E0277]: `std::cell::RefCell<u8>` cannot be shared between threads safely
+static MY_STRUCT: MyStruct = MyStruct {
+    x: 8,
+    y: RefCell::new(8)
+};
+```
+
+--
+[Rust Playground](https://play.rust-lang.org/?version=stable&mode=debug&edition=2018&gist=40074d0248f056c296b662dbbff97cfc)
+
+## Interior Mutability
+
+Finally, while `static mut` variables are allowed, mutating them is an `unsafe` operation. If we
+want to stay in `safe` Rust, we can use interior mutability to accomplish similar goals:
+
+```rust
+use std::sync::Once;
+
+// This example adapted from https://doc.rust-lang.org/std/sync/struct.Once.html#method.call_once
+static INIT: Once = Once::new();
+
+fn main() {
+    // Note that while `INIT` is declared immutable, we're still allowed
+    // to mutate its interior
+    INIT.call_once(|| println!("Initializing..."));
+    // This code won't panic, as the interior of INIT was modified
+    // as part of the previous `call_once`
+    INIT.call_once(|| panic!("INIT was called twice!"));
+}
+```
+
+--
+[Rust Playground](https://play.rust-lang.org/?version=stable&mode=debug&edition=2018&gist=3ba003a981a7ed7400240caadd384d59)
diff --git a/blog/2019-02-05-the-whole-world/index.mdx b/blog/2019-02-05-the-whole-world/index.mdx
new file mode 100644
index 0000000..69c5269
--- /dev/null
+++ b/blog/2019-02-05-the-whole-world/index.mdx
@@ -0,0 +1,339 @@
+---
+slug: 2019/02/the-whole-world
+title: "Allocations in Rust: Global memory"
+date: 2019-02-05 12:00:00
+authors: [bspeice]
+tags: []
+---
+
+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
+[`'static`](https://doc.rust-lang.org/book/ch10-03-lifetime-syntax.html#the-static-lifetime) as a
+lifetime), we can make use of global memory. This special section of data is embedded directly in
+the program binary so that variables are ready to go once the program loads; no additional
+computation is necessary.
+
+Understanding the value/reference distinction is important for reasons we'll go into below, and
+while the
+[full specification](https://github.com/rust-lang/rfcs/blob/master/text/0246-const-vs-static.md) for
+these two keywords is available, we'll take a hands-on approach to the topic.
+
+<!-- truncate -->
+
+## `const` values
+
+When a _value_ is guaranteed to be unchanging in your program (where "value" may be scalars,
+`struct`s, etc.), you can declare it `const`. This tells the compiler that it's safe to treat the
+value as never changing, and enables some interesting optimizations; not only is there no
+initialization cost to creating the value (it is loaded at the same time as the executable parts of
+your program), but the compiler can also copy the value around if it speeds up the code.
+
+The points we need to address when talking about `const` are:
+
+- `Const` values are stored in read-only memory - it's impossible to modify.
+- Values resulting from calling a `const fn` are materialized at compile-time.
+- The compiler may (or may not) copy `const` values wherever it chooses.
+
+### Read-Only
+
+The first point is a bit strange - "read-only memory."
+[The Rust book](https://doc.rust-lang.org/book/ch03-01-variables-and-mutability.html#differences-between-variables-and-constants)
+mentions in a couple places that using `mut` with constants is illegal, but it's also important to
+demonstrate just how immutable they are. _Typically_ in Rust you can use
+[interior mutability](https://doc.rust-lang.org/book/ch15-05-interior-mutability.html) to modify
+things that aren't declared `mut`.
+[`RefCell`](https://doc.rust-lang.org/std/cell/struct.RefCell.html) provides an example of this
+pattern in action:
+
+```rust
+use std::cell::RefCell;
+
+fn my_mutator(cell: &RefCell<u8>) {
+    // Even though we're given an immutable reference,
+    // the `replace` method allows us to modify the inner value.
+    cell.replace(14);
+}
+
+fn main() {
+    let cell = RefCell::new(25);
+    // Prints out 25
+    println!("Cell: {:?}", cell);
+    my_mutator(&cell);
+    // Prints out 14
+    println!("Cell: {:?}", cell);
+}
+```
+
+--
+[Rust Playground](https://play.rust-lang.org/?version=stable&mode=debug&edition=2018&gist=8e4bea1a718edaff4507944e825a54b2)
+
+When `const` is involved though, interior mutability is impossible:
+
+```rust
+use std::cell::RefCell;
+
+const CELL: RefCell<u8> = RefCell::new(25);
+
+fn my_mutator(cell: &RefCell<u8>) {
+    cell.replace(14);
+}
+
+fn main() {
+    // First line prints 25 as expected
+    println!("Cell: {:?}", &CELL);
+    my_mutator(&CELL);
+    // Second line *still* prints 25
+    println!("Cell: {:?}", &CELL);
+}
+```
+
+--
+[Rust Playground](https://play.rust-lang.org/?version=stable&mode=debug&edition=2018&gist=88fe98110c33c1b3a51e341f48b8ae00)
+
+And a second example using [`Once`](https://doc.rust-lang.org/std/sync/struct.Once.html):
+
+```rust
+use std::sync::Once;
+
+const SURPRISE: Once = Once::new();
+
+fn main() {
+    // This is how `Once` is supposed to be used
+    SURPRISE.call_once(|| println!("Initializing..."));
+    // Because `Once` is a `const` value, we never record it
+    // having been initialized the first time, and this closure
+    // will also execute.
+    SURPRISE.call_once(|| println!("Initializing again???"));
+}
+```
+
+--
+[Rust Playground](https://play.rust-lang.org/?version=stable&mode=debug&edition=2018&gist=c3cc5979b5e5434eca0f9ec4a06ee0ed)
+
+When the
+[`const` specification](https://github.com/rust-lang/rfcs/blob/26197104b7bb9a5a35db243d639aee6e46d35d75/text/0246-const-vs-static.md)
+refers to ["rvalues"](http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2010/n3055.pdf), this
+behavior is what they refer to. [Clippy](https://github.com/rust-lang/rust-clippy) will treat this
+as an error, but it's still something to be aware of.
+
+### Initialization
+
+The next thing to mention is that `const` values are loaded into memory _as part of your program
+binary_. Because of this, any `const` values declared in your program will be "realized" at
+compile-time; accessing them may trigger a main-memory lookup (with a fixed address, so your CPU may
+be able to prefetch the value), but that's it.
+
+```rust
+use std::cell::RefCell;
+
+const CELL: RefCell<u32> = RefCell::new(24);
+
+pub fn multiply(value: u32) -> u32 {
+    // CELL is stored at `.L__unnamed_1`
+    value * (*CELL.get_mut())
+}
+```
+
+-- [Compiler Explorer](https://godbolt.org/z/Th8boO)
+
+The compiler creates one `RefCell`, uses it everywhere, and never needs to call the `RefCell::new`
+function.
+
+### Copying
+
+If it's helpful though, the compiler can choose to copy `const` values.
+
+```rust
+const FACTOR: u32 = 1000;
+
+pub fn multiply(value: u32) -> u32 {
+    // See assembly line 4 for the `mov edi, 1000` instruction
+    value * FACTOR
+}
+
+pub fn multiply_twice(value: u32) -> u32 {
+    // See assembly lines 22 and 29 for `mov edi, 1000` instructions
+    value * FACTOR * FACTOR
+}
+```
+
+-- [Compiler Explorer](https://godbolt.org/z/ZtS54X)
+
+In this example, the `FACTOR` value is turned into the `mov edi, 1000` instruction in both the
+`multiply` and `multiply_twice` functions; the "1000" value is never "stored" anywhere, as it's
+small enough to inline into the assembly instructions.
+
+Finally, getting the address of a `const` value is possible, but not guaranteed to be unique
+(because the compiler can choose to copy values). I was unable to get non-unique pointers in my
+testing (even using different crates), but the specifications are clear enough: _don't rely on
+pointers to `const` values being consistent_. To be frank, caring about locations for `const` values
+is almost certainly a code smell.
+
+## `static` values
+
+Static variables are related to `const` variables, but take a slightly different approach. When we
+declare that a _reference_ is unique for the life of a program, you have a `static` variable
+(unrelated to the `'static` lifetime). Because of the reference/value distinction with
+`const`/`static`, static variables behave much more like typical "global" variables.
+
+But to understand `static`, here's what we'll look at:
+
+- `static` variables are globally unique locations in memory.
+- Like `const`, `static` variables are loaded at the same time as your program being read into
+  memory.
+- All `static` variables must implement the
+  [`Sync`](https://doc.rust-lang.org/std/marker/trait.Sync.html) marker trait.
+- Interior mutability is safe and acceptable when using `static` variables.
+
+### Memory Uniqueness
+
+The single biggest difference between `const` and `static` is the guarantees provided about
+uniqueness. Where `const` variables may or may not be copied in code, `static` variables are
+guarantee to be unique. If we take a previous `const` example and change it to `static`, the
+difference should be clear:
+
+```rust
+static FACTOR: u32 = 1000;
+
+pub fn multiply(value: u32) -> u32 {
+    // The assembly to `mul dword ptr [rip + example::FACTOR]` is how FACTOR gets used
+    value * FACTOR
+}
+
+pub fn multiply_twice(value: u32) -> u32 {
+    // The assembly to `mul dword ptr [rip + example::FACTOR]` is how FACTOR gets used
+    value * FACTOR * FACTOR
+}
+```
+
+-- [Compiler Explorer](https://godbolt.org/z/uxmiRQ)
+
+Where [previously](#copying) there were plenty of references to multiplying by 1000, the new
+assembly refers to `FACTOR` as a named memory location instead. No initialization work needs to be
+done, but the compiler can no longer prove the value never changes during execution.
+
+### Initialization
+
+Next, let's talk about initialization. The simplest case is initializing static variables with
+either scalar or struct notation:
+
+```rust
+#[derive(Debug)]
+struct MyStruct {
+    x: u32
+}
+
+static MY_STRUCT: MyStruct = MyStruct {
+    // You can even reference other statics
+    // declared later
+    x: MY_VAL
+};
+
+static MY_VAL: u32 = 24;
+
+fn main() {
+    println!("Static MyStruct: {:?}", MY_STRUCT);
+}
+```
+
+--
+[Rust Playground](https://play.rust-lang.org/?version=stable&mode=debug&edition=2018&gist=b538dbc46076f12db047af4f4403ee6e)
+
+Things can get a bit weirder when using `const fn` though. In most cases, it just works:
+
+```rust
+#[derive(Debug)]
+struct MyStruct {
+    x: u32
+}
+
+impl MyStruct {
+    const fn new() -> MyStruct {
+        MyStruct { x: 24 }
+    }
+}
+
+static MY_STRUCT: MyStruct = MyStruct::new();
+
+fn main() {
+    println!("const fn Static MyStruct: {:?}", MY_STRUCT);
+}
+```
+
+--
+[Rust Playground](https://play.rust-lang.org/?version=stable&mode=debug&edition=2018&gist=8c796a6e7fc273c12115091b707b0255)
+
+However, there's a caveat: you're currently not allowed to use `const fn` to initialize static
+variables of types that aren't marked `Sync`. For example,
+[`RefCell::new()`](https://doc.rust-lang.org/std/cell/struct.RefCell.html#method.new) is a
+`const fn`, but because
+[`RefCell` isn't `Sync`](https://doc.rust-lang.org/std/cell/struct.RefCell.html#impl-Sync), you'll
+get an error at compile time:
+
+```rust
+use std::cell::RefCell;
+
+// error[E0277]: `std::cell::RefCell<u8>` cannot be shared between threads safely
+static MY_LOCK: RefCell<u8> = RefCell::new(0);
+```
+
+--
+[Rust Playground](https://play.rust-lang.org/?version=stable&mode=debug&edition=2018&gist=c76ef86e473d07117a1700e21fd45560)
+
+It's likely that this will
+[change in the future](https://github.com/rust-lang/rfcs/blob/master/text/0911-const-fn.md) though.
+
+### The `Sync` marker
+
+Which leads well to the next point: static variable types must implement the
+[`Sync` marker](https://doc.rust-lang.org/std/marker/trait.Sync.html). Because they're globally
+unique, it must be safe for you to access static variables from any thread at any time. Most
+`struct` definitions automatically implement the `Sync` trait because they contain only elements
+which themselves implement `Sync` (read more in the
+[Nomicon](https://doc.rust-lang.org/nomicon/send-and-sync.html)). This is why earlier examples could
+get away with initializing statics, even though we never included an `impl Sync for MyStruct` in the
+code. To demonstrate this property, Rust refuses to compile our earlier example if we add a
+non-`Sync` element to the `struct` definition:
+
+```rust
+use std::cell::RefCell;
+
+struct MyStruct {
+    x: u32,
+    y: RefCell<u8>,
+}
+
+// error[E0277]: `std::cell::RefCell<u8>` cannot be shared between threads safely
+static MY_STRUCT: MyStruct = MyStruct {
+    x: 8,
+    y: RefCell::new(8)
+};
+```
+
+--
+[Rust Playground](https://play.rust-lang.org/?version=stable&mode=debug&edition=2018&gist=40074d0248f056c296b662dbbff97cfc)
+
+### Interior mutability
+
+Finally, while `static mut` variables are allowed, mutating them is an `unsafe` operation. If we
+want to stay in `safe` Rust, we can use interior mutability to accomplish similar goals:
+
+```rust
+use std::sync::Once;
+
+// This example adapted from https://doc.rust-lang.org/std/sync/struct.Once.html#method.call_once
+static INIT: Once = Once::new();
+
+fn main() {
+    // Note that while `INIT` is declared immutable, we're still allowed
+    // to mutate its interior
+    INIT.call_once(|| println!("Initializing..."));
+    // This code won't panic, as the interior of INIT was modified
+    // as part of the previous `call_once`
+    INIT.call_once(|| panic!("INIT was called twice!"));
+}
+```
+
+--
+[Rust Playground](https://play.rust-lang.org/?version=stable&mode=debug&edition=2018&gist=3ba003a981a7ed7400240caadd384d59)
diff --git a/blog/2019-02-06-stacking-up/_article.md b/blog/2019-02-06-stacking-up/_article.md
new file mode 100644
index 0000000..b060ea1
--- /dev/null
+++ b/blog/2019-02-06-stacking-up/_article.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/blog/2019-02-06-stacking-up/index.mdx b/blog/2019-02-06-stacking-up/index.mdx
new file mode 100644
index 0000000..0ae8bb6
--- /dev/null
+++ b/blog/2019-02-06-stacking-up/index.mdx
@@ -0,0 +1,604 @@
+---
+slug: 2019/02/stacking-up
+title: "Allocations in Rust: Fixed memory"
+date: 2019-02-06 12:00:00
+authors: [bspeice]
+tags: []
+---
+
+`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.
+
+<!-- truncate -->
+
+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) (&lt;1ns
+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)
+   <small>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.</small>
+
+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/blog/2019-02-07-a-heaping-helping/_article.md b/blog/2019-02-07-a-heaping-helping/_article.md
new file mode 100644
index 0000000..b68c447
--- /dev/null
+++ b/blog/2019-02-07-a-heaping-helping/_article.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/blog/2019-02-07-a-heaping-helping/index.mdx b/blog/2019-02-07-a-heaping-helping/index.mdx
new file mode 100644
index 0000000..292306b
--- /dev/null
+++ b/blog/2019-02-07-a-heaping-helping/index.mdx
@@ -0,0 +1,258 @@
+---
+slug: 2019/02/a-heaping-helping
+title: "Allocations in Rust: Dynamic memory"
+date: 2019-02-07 12:00:00
+authors: [bspeice]
+tags: []
+---
+
+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.
+
+<!-- truncate -->
+
+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/blog/2019-02-08-compiler-optimizations/_article.md b/blog/2019-02-08-compiler-optimizations/_article.md
new file mode 100644
index 0000000..4b8b385
--- /dev/null
+++ b/blog/2019-02-08-compiler-optimizations/_article.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/blog/2019-02-08-compiler-optimizations/index.mdx b/blog/2019-02-08-compiler-optimizations/index.mdx
new file mode 100644
index 0000000..000e68d
--- /dev/null
+++ b/blog/2019-02-08-compiler-optimizations/index.mdx
@@ -0,0 +1,149 @@
+---
+title: "Allocations in Rust: Compiler optimizations"
+description: "A lot. The answer is a lot."
+date: 2019-02-08 12:00:00
+last_updated:
+    date: 2019-02-10 12:00:00
+tags: []
+---
+
+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.
+
+<!-- truncate -->
+
+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.
+
+**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.
+
+## 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/blog/2019-02-09-summary/_article.md b/blog/2019-02-09-summary/_article.md
new file mode 100644
index 0000000..dd7f06d
--- /dev/null
+++ b/blog/2019-02-09-summary/_article.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/blog/2019-02-09-summary/container-size.svg b/blog/2019-02-09-summary/container-size.svg
new file mode 100644
index 0000000..16d4fc0
--- /dev/null
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diff --git a/blog/2019-02-09-summary/index.mdx b/blog/2019-02-09-summary/index.mdx
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+++ b/blog/2019-02-09-summary/index.mdx
@@ -0,0 +1,39 @@
+---
+slug: 2019/02/summary
+title: "Allocations in Rust: Summary"
+date: 2019-02-09 12:00:00
+authors: [bspeice]
+tags: []
+---
+
+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:
+
+<!-- truncate -->
+
+**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.
+
+**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.
+
+
+**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.
+
+![Container Sizes in Rust](./container-size.svg)
+
+-- [Raph Levien](https://docs.google.com/presentation/d/1q-c7UAyrUlM-eZyTo1pd8SZ0qwA_wYxmPZVOQkoDmH4/edit?usp=sharing)