In high-performance distributed systems, every delay at the message streaming layer compounds across the entire platform. When services communicate through a message stream, tail latencies don’t stay isolated. They stack, they amplify, and they eventually surface as degraded end-to-end response times that are nearly impossible to trace back to a single root cause. And when you can’t fix the latency, you scale out instead, throwing more hardware at a problem that’s fundamentally architectural. A few extra milliseconds here, a GC pause there; it adds up fast. The hardware we have today is remarkable, but squeezing out what it’s truly capable of requires designing around it from scratch, not patching over decades-old abstractions. That’s exactly what we did with Apache Iggy, built in Rust from the ground up. Today we’ll dig into the architectural decisions that got us to ultra-low and predictable tail latencies at high throughput.
