Redis

Redis is an open-source, in-memory data structure store used as a high-performance database, cache, and message broker. It supports a wide range of data types, including strings, hashes, lists, sets, sorted sets, bitmaps, hyperloglogs, geospatial indexes, and streams. Redis has built-in replication, Lua scripting, LRU eviction, transactions, and different levels of on-disk persistence, and provides high availability via Redis Sentinel and automatic partitioning with Redis Cluster. It’s ideal for real-time, low-latency applications.

How Redis Helps Users

With Redis, you can:

• Store and retrieve data with sub-millisecond latency
• Support full-text indexing of multiple fields
• Run advanced querying over structured data
• Handle concurrent, low-latency insertion and updates of documents
• Scale workloads horizontally and ensure resilience across distributed environments

Redis can be deployed on-premises, in the cloud, or in containerized environments like Docker and Kubernetes.

Why Integrate Redis with emma

By integrating Redis with emma, teams can:

• Monitor Redis clusters and resource usage across clouds.
• Correlate Redis usage metrics with cost trends and infrastructure performance data.
• Identify opportunities to rightsize Redis instances and optimize deployment strategies.
• Centrally manage Redis workloads as part of broader multi-cloud operations.

Integrate Redis with emma to gain full-stack visibility, improve performance, and optimize costs for real-time caching and data workloads supported by Redis across multi-cloud environments.