Here are the engineering lessons we learned when live-streaming sports to 32 million people
Live sports involve myriad unknowns, but one thing is certain: the live video feed must play flawlessly, and simultaneously, for The post Here are t…
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Performance engineering from kernel analysis to AI: Adrian Cockcroft’s take
Over its five-year history, P99 CONF has hosted quite a few speakers who’ve offered pointed takedowns of the namesake metric. The post Perform…
Chip Huyen explains how to cut inference costs without new hardware
Last October, the P99 conference — the online gathering for developers focused on high-performance, low-latency applications — featured…
Why real-time AI at scale is so hard
Real-time AI at scale is harder than it looks. Pipelines that hum along in development routinely hit problems in production. The post Why real-time…
How async processing hides latency and improves responsiveness
Editor’s Note: This article contains an exclusive excerpt from Latency by Pekka Engberg, which helps readers diagnose latency problems and The post…
When your data model is the bottleneck: lessons from Medium’s feature store
“Keep readers reading” is the not-so-simple goal of Medium’s recommendations system. To predict what’s most likely to appeal…
ScyllaDB cut Sprig’s read latency 4X after Redis and ClickHouse hit a wall
“Just use Postgres” is the logical path for a startup figuring out product-market fit. But Sprig – an AI-powered product The post…