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ImplementingPerformance optimization with AWS Aurora PostgreSQL/MySQL for high-throughput workloads
Amazon Aurora is AWS’s cloud-native relational database, built for high performance and high availability while staying compatible with MySQL and PostgreSQL. It’s faster and more efficient than standard deployments, but if you’re handling high-throughput workloads, a few extra optimizations can make a big difference. In this guide, we’ll walk through everything you need to know to fine-tune Aurora for demanding use cases. From identifying performance bottlenecks to optimizing queries, leveraging Aurora’s advanced features, and setting up proper monitoring—this article has got you covered!
Amazon Aurora is AWS’s cloud-native relational database, built for high performance and high availability while staying compatible with MySQL and PostgreSQL. It’s faster and more efficient than standard deployments, but if you’re handling high-throughput workloads, a few extra optimizations can make a big difference.
In this guide, we’ll walk through everything you need to know to fine-tune Aurora for demanding use cases. From identifying performance bottlenecks to optimizing queries, leveraging Aurora’s advanced features, and setting up proper monitoring—this article has got you covered!
