Amazon MemoryDB
Explore Amazon MemoryDB's architecture, including nodes, shards, and clusters, to understand how it delivers microsecond read latency and single-digit millisecond writes. Learn about its scaling options, Multi-AZ replication, and backup strategies to build secure, resilient, and high-performance applications in retail, finance, and media sectors.
Amazon MemoryDB is a fully managed, in-memory primary database designed for ultra-low latency and high durability. It stores the entire dataset directly in memory across multiple compute nodes, delivering microsecond-level read and single-digit millisecond write performance.
MemoryDB supports both Redis and Valkey, two popular open-source in-memory data stores. This compatibility allows developers to build cloud-native applications and microservices using familiar APIs and data structures with a fully managed backend service.
Unlike traditional architectures that combine a database with a caching layer to balance speed and persistence, MemoryDB provides a unified solution. It serves as a high-speed primary database and spares the hassle of setting up separate caches and databases for low-latency applications.
Before further discussing the key applications of MemoryDB, let’s first understand its components.
Core components
MemoryDB for Redis works in cluster formation. Each cluster ...