Category: Amazon ElastiCache

Learn how to integrate a Spring Boot application with Amazon ElastiCache using Spring Data Valkey for caching. This walkthrough covers adding caching to a serverless cache, plus the advantages of Spring Data Valkey over Spring Data Redis: native AWS IAM authentication, Availability Zone affinity, and OpenTelemetry observability.

In this post, we show how Dynata simplified database cost optimization and accelerated modernization to AWS Graviton processors by adopting Database Savings Plans. Rather than managing Reserved Instances across multiple database services, Dynata consolidated their cost commitment into a single, flexible pricing model. This reduced operational overhead by 70%, extended cost coverage to Amazon Aurora serverless, and lowered total cost of ownership as their infrastructure evolved.

Amazon ElastiCache now supports Valkey 9.1, bringing the latest community-driven innovations from the Valkey open source project to customers running latency-sensitive, high-throughput, and operationally demanding in-memory workloads on ElastiCache. In this post, we discuss how Valkey 9.1 helps you get more throughput and memory efficiency from demanding workloads while providing stronger isolation for multi-tenant and shared-cluster deployments. We also cover new commands that simplify common application and operational workflows, new observability features that give operators better visibility into engine behavior, and how ElastiCache continues to deliver the latest Valkey open source innovations in a fully managed service.

In this post, we share how Securonix migrated hundreds of Amazon ElastiCache clusters from Redis OSS to Valkey, achieving a 20% reduction in caching costs. This amounts to over $100,000 in annualized savings. The migration also improved CPU utilization and overall throughput across Securonix’s global SIEM platform, which processes hundreds of terabyte data volumes daily for enterprise security teams worldwide.

In this post, we explain how durability works, walk through the architecture, and share performance results to show that durability doesn’t compromise the microsecond latency customers expect from ElastiCache.

Amazon receives millions of visits every day, and earning each customer’s trust visit after visit is the foundation that the store is built on. A meaningful part of that trust comes down to whether the recommendations we surface feel relevant and whether they reflect what the customer actually cares about in the moment. In this post, we describe an architecture that makes it achievable. Amazon SageMaker hosts a sentence transformer model on a managed endpoint and turns customer query text into dense semantic vectors. Valkey is an open source, in-memory data store with built-in vector search. It’s available on AWS through Amazon ElastiCache and Amazon MemoryDB. In our architecture, we use Amazon-managed Valkey to store the product catalog as a vector index.

In this post we demonstrate how Nine Entertainment achieved a 98% cost reduction by migrating to Amazon ElastiCache Serverless for Valkey while improving scalability and eliminating manual intervention during peak events.

Today, we’re announcing the Remote Query Cache Plugin for the AWS Advanced JDBC Wrapper. The plugin handles query caching automatically. It intercepts JDBC queries, caches results in Amazon ElastiCache for Valkey, and serves subsequent identical queries from cache. Your only application change is prefixing queries with SQL hints. In this post, we show you how to use Amazon CloudWatch Database Insights to identify queries to cache, configure the Remote Query Cache Plugin in your Java applications, and monitor cache effectiveness using Amazon CloudWatch.

In this post, you learn how HotelTrader reduced inter-availability zone data transfer costs by 95% and improved average latency by 49% by migrating from the Redis Lettuce client to Valkey GLIDE on Amazon ElastiCache. The post walks through how HotelTrader identified hidden cross-AZ data transfer costs in their multi-AZ ElastiCache cluster, implemented Valkey GLIDE’s AZ-affinity read strategy to route requests to local replicas, optimized throughput with request batching, and executed a zero-downtime migration using A/B testing over 15 days.

Amazon ElastiCache now supports Valkey 9.0. This brings the latest community-driven innovations from the Valkey open source project to address the performance and capability requirements of applications as they grow more data-intensive and latency-sensitive, such as real-time analytics, AI-driven retrieval, and high-throughput caching. In this post, we explore how these enhancements help customers build faster applications, streamline architectures, and support new real-time and AI-driven workloads.