Tag: Valkey

Today, we’re announcing a new integration between Mem0 Open Source, Amazon ElastiCache for Valkey, and Amazon Neptune Analytics to provide persistent memory capabilities to agentic AI applications. This integration solves a critical challenge when building agentic AI applications: without persistent memory, agents forget everything between conversations, making it impossible to deliver personalized experiences or complete multi-step tasks effectively. In this post, we show how you can use this new Mem0 integration.

Amazon Ads enables businesses to meaningfully engage with customers throughout their shopping journey, reaching over 300 million audience in the US alone. Delivering the right ad to the right customer in real time at a global scale requires highly available, low-latency infrastructure capable of processing tens of millions of requests per second. In this post, […]

Alight Solutions is a leading cloud-based human capital technology and services provider that has focused its operations on integrated benefits administration, healthcare navigation, and employee experience solutions. In this post, we share how Alight Solutions transformed their caching infrastructure using ElastiCache while maintaining strict performance requirements, achieving over 60% cost reduction, 70-80% reduction in operational overhead, migration of gigabytes of data with sub-0.5 millisecond performance for millions of users, and a 99.99% reduction in incident rate.

In this post we show you how to build a secure Amazon ElastiCache for Valkey cluster using Terraform, implementing best practices and comprehensive security controls including encryption, authentication, and network isolation.

GroundTruth, an advertising platform leading the way in location- and behavior-based marketing, empowers brands to connect with consumers through real-world behavioral data to drive real business results. As our advertising platform scaled to process increased volume of ad requests and third-party segment ingestion, maintaining our Aerospike-based caching infrastructure introduced significant operational complexity and rising costs, while also compromising performance and limiting our ability to scale efficiently. To meet our requirements we implemented Amazon ElastiCache for Valkey, which streamlined our operations, improved reliability, and reduced costs. In this post, we walk through our migration journey, covering the migration strategy we adopted, the optimizations we made to reduce cost by 45%, reliability improvements including reducing write failures by 20x, and operational gains from managed service capabilities.

Vector search for Amazon ElastiCache is now generally available. You can now use ElastiCache to index, search, and update billions of high-dimensional vector embeddings from popular providers like Amazon Bedrock, Amazon SageMaker, Anthropic, and OpenAI—with latencies as low as microseconds and up to 99% recall.

In this post, we show you how to save costs on Amazon ElastiCache by upgrading your cluster engine to ElastiCache for Valkey. If you’re currently using ElastiCache for Redis OSS, you can achieve up to 60% cost savings by upgrading to Valkey.

In April 2024, AWS announced support for Valkey, a community-driven fork of Redis born out of a shared belief that critical infrastructure software should be vendor neutral and open source. In this post, we share how, just over a year in, we remain fully committed to the Valkey project and announce support for the latest version with Amazon ElastiCache version 8.1 for Valkey. We explore the benefits of Valkey through real-world examples the benefits of the latest innovations, including a new hash table with additional memory efficiencies, support for Bloom filters, observability enhancements, and new functionality.

Amazon ElastiCache now supports Bloom filters: a fast, memory-efficient, probabilistic data structure that lets you quickly insert items and check whether items exist. In this post, we discuss two real-world use cases demonstrating how Bloom filters work in ElastiCache, the best-practices to implement, and how you can save at least 90% in memory and cost compared to alternative implementations. Bloom filters are available in ElastiCache version 8.1 for Valkey in all AWS Regions and at no additional cost.

AWS recently announced, in partnership with Google Cloud and the Valkey community, the general availability of Valkey General Language Independent Driver for the Enterprise (GLIDE) 2.0, the latest release. Valkey GLIDE is multi-language client library designed for reliability and performance. In this post, we discuss what Valkey GLIDE is and its key benefits, and then dive into its new enhancements.