I recently wrote about a subtle but critical lesson from optimizing a Go sharded pool: sometimes making a hot function faster doesn’t improve overall performance because you hit the system’s architectural ceiling.
In my Medium post, I share profiling insights and explain why the design—not just micro-optimizations—determines what’s possible. I show how a slower but smarter load distribution method cut latency from ~10ns to ~3ns by better leveraging cache locality and reducing contention.
Would love to hear others’ experiences hitting design limits!
In my Medium post, I share profiling insights and explain why the design—not just micro-optimizations—determines what’s possible. I show how a slower but smarter load distribution method cut latency from ~10ns to ~3ns by better leveraging cache locality and reducing contention.
Would love to hear others’ experiences hitting design limits!