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  1. aws.amazon.com › elasticacheAmazon ElastiCache

    Amazon ElastiCache is a fully managed, Redis- and Memcached-compatible service that delivers real-time, cost-optimized performance for modern applications with 99.99% availability. Learn how to use ElastiCache for data caching, session stores, leaderboards, and more with user guides and training.

    • Customers

      Thousands of global-leading companies use the Coralogix Log...

    • Pricing

      AWS offers you a pay-as-you-go approach for pricing for the...

    • Features

      Amazon ElastiCache is a fully managed, Valkey-, Memcached -,...

    • AWS Free Tier

      Amazon ElastiCache is a fully managed, Valkey-, Memcached-...

  2. Learn how to set up, manage, and scale distributed in-memory cache environments in the AWS Cloud with ElastiCache. Explore the user guide, API reference, and command line interface for ElastiCache.

  3. Amazon ElastiCache offers serverless and node-based caching solutions for Valkey, Redis OSS, and Memcached engines. Learn how to set up, manage, and scale a distributed cache environment in the cloud with ElastiCache.

  4. 5 dni temu · Amazon ElastiCache is a web service that makes it easier to set up, operate, and scale a distributed cache in the cloud. Learn how to use ElastiCache API, CloudWatch integration, and other features to manage your cache clusters.

  5. Learn how to use Amazon ElastiCache, a managed in-memory data store based on Redis OSS, to power real-time applications with sub-millisecond latency. ElastiCache offers extreme performance, security, scalability, and high availability for caching, chat, gaming, and leaderboard use cases.

  6. Learn how Amazon ElastiCache delivers real-time, cost-optimized performance and high availability for modern applications. Compare the benefits of serverless, managed, and reserved nodes for Valkey, Memcached, and Redis OSS compatible caching.

  7. Amazon ElastiCache provides two popular in-memory datastores: Redis and Memcached. Learn why these datastores are used to accelerate workloads requiring low latency and high throughput, and how they compare to disk-based databases.

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