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other147d ago
Scaling PostgreSQL to power 800 million ChatGPT users
OpenAI scaled PostgreSQL to handle millions of queries per second for ChatGPT by using replicas, caching, rate limiting, and workload isolation. This allowed them to support a large number of users. Builders can apply similar techniques to scale their own databases. PostgreSQL's flexibility and customizability made it a suitable choice.
Key takeaways
- OpenAI used PostgreSQL replicas, caching, and rate limiting to scale.
- Techniques supported millions of queries per second for ChatGPT.
- PostgreSQL's flexibility helped OpenAI customize their setup.
OpenAI scaled PostgreSQL to handle millions of queries per second for ChatGPT by using replicas, caching, rate limiting, and workload isolation. This allowed them to support a large number of users. Builders can apply similar techniques to scale their own databases. PostgreSQL's flexibility and customizability made it a suitable choice.
Key takeaways
- OpenAI used PostgreSQL replicas, caching, and rate limiting to scale.
- Techniques supported millions of queries per second for ChatGPT.
- PostgreSQL's flexibility helped OpenAI customize their setup.