• Redis Data Integration in Redis Cloud is now generally available on AWS.
• Our new data type: arrays, designed by Salvatore Sanfilippo.
• Connecting to Redis Cloud with AWS PrivateLink vs. VPC peering.
• FAQ with Simba Khadder: Real-time context engine, agent memory, & retrieval.

“Just add memory” sounds simple until your agent needs fresh data, search, retrieval, caching, permissions, and business context that actually holds up in production.

Watch Sonny Sangha’s Redis Iris demo to see how it combines Redis' proprietary AI tools: Context Retriever, Agent Memory, Redis Data Integration (RDI), LangCache, and Search together for faster, more useful agents.

Then read this TLDR piece for the painfully relatable version: context starts small, then turns into the infrastructure project you did not mean to build.

Redis Iris brings it all into one unified, real-time context engine, so teams can give agents the fresh, relevant context they need to perform at scale.

Redis 8.8 is here, with a new array data structure (created by antirez), a window counter rate limiter, message NACKing for streams, subkey notifications for hash fields, more control over JSON numeric arrays, and more.

The performance story is just as strong: up to 68% faster pipelined MGET, up to 83% faster XREADGROUP, up to 74% faster sorted set operations, and up to 60% faster full sync for persistence and replication.

Same Redis. More throughput. Less waiting around.