Category: Amazon MemoryDB

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 […]

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 […]

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, […]

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. […]

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. […]