[Article] Handling millions of queries per second for 800 millions users in PostgreSQL
An interesting read if you're deep in the world of PostgreSQL.
Short snippet:
They scaled PostgreSQL to millions of QPS with a single primary and nearly 50 read replicas, maintaining low double-digit millisecond p99 latency and five-nines availability. Over the past year, their PostgreSQL load grew by more than 10x, and they've had only one SEV-0 incident.
This blog post by Rajkumar explains how OpenAI scaled PostgreSQL to handle millions of queries per second for 800 million users with a single primary and 50 read replicas. Key takeaways include minimizing write pressure, optimizing queries, connection pooling, caching strategies, and workload isolation. The results show that with the right optimizations, PostgreSQL can scale to handle large production workloads.
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