Posted On: Aug 19, 2021
Amazon MemoryDB for Redis is a new Redis-compatible, durable, in-memory database service that delivers ultra-fast performance. It is purpose-built for modern applications with microservices architectures. Amazon MemoryDB is compatible with Redis, a popular open source data store, enabling customers to quickly build applications using the same flexible and friendly Redis data structures, APIs, and commands that they already use today. With Amazon MemoryDB, all of your data is stored in memory, which enables you to achieve microsecond read and single-digit millisecond write latency and high throughput. Amazon MemoryDB also stores data durably across multiple Availability Zones (AZs) using a Multi-AZ transactional log to enable fast failover, database recovery, and node restarts. Delivering both in-memory performance and Multi-AZ durability, Amazon MemoryDB can be used as a high-performance primary database for your microservices applications eliminating the need to separately manage both a cache and durable database.
You can easily create and scale your Amazon MemoryDB cluster to up to 500 nodes, storing over 100 TB of data in memory. Amazon MemoryDB is highly available, supporting replication across multiple AZs. Amazon MemoryDB is also secure, with support for Amazon Virtual Private Cloud (VPC), encryption at-rest with AWS Key Management Service, encryption in-transit, and authentication and authorization using Redis access control lists (ACLs). Additionally, Amazon MemoryDB is fully managed so you do not need to worry about database management tasks such as hardware provisioning, software patching, setup, configuration, or backups. There are no up-front commitments or fees to use Amazon MemoryDB, and you only pay for the database capacity used.
To get started, you can create an Amazon MemoryDB cluster in minutes through the AWS Management Console, AWS Command Line Interface (CLI), or AWS Software Development Kit (SDK). Amazon MemoryDB is available today in US East (N. Virginia), EU (Ireland), Asia Pacific (Mumbai), and South America (Sao Paulo) Regions, and will expand to additional Regions soon.