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How Zendesk achieved cost and performance gains by moving to Amazon Aurora PostgreSQL

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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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