Why We Rewrote Our Core in Rust
Richard Hendricks
1 min read
Last quarter, we made the decision to rewrite Pied Piper's compression core from C to Rust. Here's why, and what we learned.
#The Problem with C
Our C codebase worked. It was fast. But we had problems:
- Memory bugs - Despite careful coding, we'd find buffer overflows in edge cases
- Concurrency issues - Data races that only manifested under heavy load
- Maintenance burden - New engineers took months to become productive
The final straw was a production incident caused by a use-after-free bug that our tests didn't catch.
#Why Rust?
Rust gives us:
fn compress_chunk(data: &[u8]) -> Result<Vec<u8>, CompressionError> {
let mut output = Vec::with_capacity(data.len());
// The borrow checker ensures we can't accidentally
// use `data` after it's been moved or freed
for chunk in data.chunks(BLOCK_SIZE) {
output.extend(process_block(chunk)?);
}
Ok(output)
}
- Memory safety without garbage collection
- Fearless concurrency - The compiler catches data races
- Zero-cost abstractions - High-level code that compiles to efficient assembly
#The Migration
We didn't rewrite everything at once. Our approach:
- Wrap existing C code with Rust FFI
- Rewrite one module at a time
- Benchmark constantly to ensure no regression
- Delete C code only after Rust replacement is proven
#Results
| Metric | C | Rust | Change |
|---|---|---|---|
| Throughput | 2.1 GB/s | 2.3 GB/s | +10% |
| Memory bugs (6 mo) | 12 | 0 | -100% |
| New engineer ramp-up | 3 months | 3 weeks | -75% |
The performance improvement surprised us—turns out the borrow checker enabled optimizations we were afraid to do in C.
#Lessons
- Rewrites are risky, but sometimes necessary
- Incremental migration beats big-bang
- Rust's learning curve is worth it for systems code
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