Amazon ElastiCache Weekly — 2026-05, Week 21
Editor’s Note
This week’s material converges on a recurring theme in caching architecture: reducing the friction between application code and cache infrastructure. One item addresses the integration layer directly through a new JDBC plugin, while the other examines what happens to cost and operational overhead when capacity management is removed from the equation entirely.
Top Stories
Remote Query Cache Plugin Brings Transparent Caching to JDBC Applications
The AWS Advanced JDBC Wrapper now includes a Remote Query Cache Plugin that intercepts outbound JDBC queries before they reach the database, checks Amazon ElastiCache for Valkey for a cached result, and returns that result if one exists — all without changes to application query logic beyond the addition of SQL hint prefixes. For teams operating Java-based services against relational databases, this lowers the integration cost of introducing a caching layer considerably: there is no requirement to rewrite data access code or introduce a separate caching client. The documentation also points to Amazon CloudWatch Database Insights as a companion tool for identifying which queries are strong candidates for caching and for tracking cache hit rates over time, giving operators an observable feedback loop from day one. Read more
Nine Entertainment Reports 98% Cost Reduction After Moving to ElastiCache Serverless for Valkey
Nine Entertainment’s migration to Amazon ElastiCache Serverless for Valkey produced a reported 98% reduction in caching costs, according to vendor benchmarks, alongside improved scalability during peak traffic periods and the elimination of manual capacity provisioning. The case is a practical illustration of the tradeoff serverless cache offerings make explicit: you surrender fine-grained control over node sizing and cluster topology in exchange for consumption-based billing and automatic scaling. For organizations whose traffic is bursty or difficult to forecast — a description that fits media and broadcasting workloads closely — that tradeoff can yield substantial savings compared to maintaining over-provisioned fixed-capacity clusters. The result is worth examining critically, as vendor-reported figures warrant independent validation, but the directional magnitude here is notable enough to inform architectural evaluations. Read more