## PostgreSQL powering ChatGPT: The scaling challenge OpenAI has shared crucial details on how it tackled the challenge of scaling PostgreSQL to handle the massive workload generated by 800 million ChatGPT users. The company had to implement sophisticated solutions to ensure optimal performance and system stability. ## Scalability strategies adopted The main techniques used include: * **Replicas:** Creating copies of the database to distribute the read load. * **Caching:** Storing the results of the most frequent queries to reduce latency. * **Rate limiting:** Limiting the number of requests to prevent overload. * **Workload isolation:** Separating different types of operations to optimize resource utilization. These measures have allowed OpenAI to reach millions of queries per second, ensuring a smooth and responsive user experience even during peak usage.