How Zendesk achieved cost and performance gains by moving to Amazon Aurora PostgreSQL
Database Blog
This article discusses how Zendesk achieved cost and performance gains by upgrading to the latest version of Amazon Aurora PostgreSQL and optimizing their databases.
Specifically, the article covers:
- The challenges Zendesk faced due to rapid data growth and complex queries, leading to performance issues.
- Myths about scaling databases and the importance of right-sizing for optimal performance.
- The implementation process, including upgrading Aurora PostgreSQL clusters, optimizing queries, and adjusting database configurations.
- The results and learnings, such as improved uptime, better memory utilization, reduced CPU load, and significant cost savings by adopting AWS Graviton3 instances and I/O optimized storage.
- Conclusion: By upgrading Aurora PostgreSQL, optimizing queries, and right-sizing instances, Zendesk achieved better performance and reduced costs for their Zendesk Explore product.
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