AWS Database Blog

Category: Amazon MemoryDB for Redis

Scale your Amazon MemoryDB for Redis clusters at a lower cost with data tiering

Amazon MemoryDB for Redis is a Redis-compatible database service that delivers both in-memory performance and Multi-AZ durability. You can use MemoryDB as a primary database for use cases that require durable storage and ultra-fast performance, like user session data, message streaming between microservices, payment processing, gaming leaderboards, and Internet of Things (IoT). Today, we announced […]

Access Amazon MemoryDB for Redis from AWS Lambda

Today marks the one-year anniversary of the launch of Amazon MemoryDB for Redis. On 8/19/2021, AWS announced the general availability of Amazon MemoryDB for Redis, a fully managed, Redis-compatible database, that delivers both in-memory performance and Multi-AZ durability. Over the past year, thousands of customers have adopted MemoryDB as their primary database for critical workloads […]

Optimize application memory usage on Amazon ElastiCache for Redis and Amazon MemoryDB for Redis

Amazon MemoryDB for Redis and Amazon ElastiCache for Redis are in-memory data stores. While ElastiCache is commonly used as a cache, MemoryDB is a durable database designed for applications with high performance requirements. Customers love Redis as an in-memory data engine. As data used and accessed grows exponentially, making the most of the memory available […]

Unlocking JSON workloads with ElastiCache and MemoryDB

Application developers love Redis because it has a large and vibrant open source community, provides blazing-fast in-memory performance, and has a developer-friendly yet powerful API that provides native support for multiple data structures. These traits make Redis a great fit for building and running high-performance, scalable web applications. At AWS, we offer two fully-managed, Redis-based […]

Deploy a high-performance database for containerized applications: Amazon MemoryDB for Redis with Kubernetes

More and more organizations are building their applications using microservices for operational efficiency, agility, scalability, and faster time to market. Microservices and containers have emerged as building blocks for modern applications, and Kubernetes has become the de facto standard for managing containers at scale. Applications running on Kubernetes need a database that provides ultra-fast performance, high availability […]

Optimize Redis Client Performance for Amazon ElastiCache and MemoryDB

Redis users typically access a Redis service, such as Amazon ElastiCache or Amazon MemoryDB for Redis, using their choice of language-specific open source client libraries. These libraries are built and maintained by independent teams, with contributions from others including AWS. In this post, we share best practices for optimizing Redis client performance for popular Redis […]

Measuring database performance of Amazon MemoryDB for Redis

Contributed by Jean Guyader, Sr. Software Engineering Manager and Kevin McGehee, Principal Software Engineer. Amazon MemoryDB for Redis is a Redis-compatible, durable, in-memory database service that delivers ultra-fast performance. It’s compatible with Redis, a popular open-source data store, which enables you to quickly build applications using the same flexible and friendly Redis data structures, APIs, […]

Get started with a free trial of Amazon MemoryDB for Redis

On August 19, 2021, we announced Amazon MemoryDB for Redis, a new Redis-compatible, durable, in-memory database. Since then, we have expanded support to 16 AWS Regions and added support for AWS CloudFormation. With MemoryDB, all your data is stored in memory, enabling you to achieve microsecond read and single-digit millisecond write latency and high throughput. […]

Build with Redis data structures for microservices using Amazon MemoryDB for Redis and Amazon ECS

Microservices architectures provide development teams a mechanism to reduce time to market, and enable hyper-scaling of business-critical applications. They also provide the flexibility to make technology decisions best suited for the needs of each service. This includes the selection of a purpose-built database to store and retrieve data in a highly scalable and efficient manner. […]