Interview
summary
Building a metrics platform that collects network telemetry across Twitter to diagnose outages and track month‑scale trends for capacity planning, implemented primarily in Scala with JVM optimizations and the Cats library, while integrating GraphQL to replace REST for exploratory queries and using Python and ML/data tools for analysis; deployed at Twitter within six months of joining and used to guide device purchases and infrastructure expansion.
AI-written summary · about
related talks
04mVladimir Kostyukov Interview
03mChris Phelps Interview
26mKeynote: 10 Million Spans Per Second: Lessons From Scaling OpenTelemetry at Reddit
28mThe Evolution of Twitter's Edge
41mInside Twitter's Realtime Delivery of Tweets for Enterprise Customers
06mLightning Talk - Micro-Services Lifecycle Management at Twitter
04mHaeley Yao Interview
14mPerformance Optimization in High-Volume Transaction Systems
