Optimize Amazon Aurora PostgreSQL auto scaling performance with automated cache pre-warming
Database Blog
This article discusses optimizing the performance of Amazon Aurora PostgreSQL auto-scaling by automatically pre-warming the database cache when new read replicas are provisioned.
Specifically, the article covers:
- Caching options for Aurora PostgreSQL databases, including using the local database cache (shared_buffers) and result set caching with Amazon ElastiCache (Memcached or Redis)
- A solution that uses Amazon EventBridge to trigger an AWS Lambda function to pre-warm the database cache when a new read replica is provisioned, by running pg_prewarm against configured tables
- Using a custom endpoint to ensure client connections go to only pre-warmed read replicas
- Prerequisites, deployment steps, testing, scaling considerations, cost considerations, and clean-up steps for the solution
- Conclusion highlighting the benefits of pre-warming the cache to improve query performance on new read replicas
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