AWS announces Reserved Instances for Amazon Aurora PostgreSQL Optimized Reads
AWS announces the availability of Reserved Instances for Amazon Aurora Optimized Reads for Aurora PostgreSQL. Optimized Reads is a price-performance capability available on r6gd and r6id instances that delivers up to 8x improved query latency and up to 30% cost savings compared to instances without it, for applications with large datasets that exceed the memory capacity of a database instance. Reserved Instances are appropriate for steady-state database workloads and offer significant savings over On-Demand Instances improving these savings. 1-year Reserved Instances provide discounts up to 27% and 3-year Reserved Instances provide discounts of up to 47% over On-Demand Instances. Reserved Instances provide flexibility across instance sizes and cluster configuration options.
AWS announces the availability of Reserved Instances for Amazon Aurora Optimized Reads for Aurora PostgreSQL. Optimized Reads is a price-performance capability available on r6gd and r6id instances that delivers up to 8x improved query latency and up to 30% cost savings compared to instances without it, for applications with large datasets that exceed the memory capacity of a database instance. Reserved Instances are appropriate for steady-state database workloads and offer significant savings over On-Demand Instances improving these savings. 1-year Reserved Instances provide discounts up to 27% and 3-year Reserved Instances provide discounts of up to 47% over On-Demand Instances. Reserved Instances provide flexibility across instance sizes and cluster configuration options.
Optimized Reads use local NVMe-based SSD block-level storage available in r6gd and r6id instances to improve query latency of applications with data sets exceeding the memory capacity. It includes two features: tiered caching and temporary objects. Temporary objects achieve faster query processing by placing temporary tables on local storage, improving the performance of queries involving sorts, hash aggregations, and other data-intensive operations. Tiered caching—available only in I/O-Optimized—automatically stores data evicted from the in-memory database buffer cache onto local storage to speed up subsequent data accesses. Tiered caching accelerates the query throughput of pgvector-based similarity searches by up to 9x, improving the performance of Generative AI applications. To learn more about Optimized Reads Reserved Instances visit our pricing page, and documentation.