Redis Cloud is the unified data platform for all your real-time data.
Redis is everywhere in modern architectures; caching, search and retrieval, pub/sub and streams, JSON and structured data patterns, and GenAI use cases like semantic caching and AI agent memory. Teams rely on it to keep apps simple, responsive, and easier to scale.
Memorystore works well for basic key-value access and straightforward cache-aside scenarios. But as real-time requirements expand a queryable cache, richer retrieval (filters plus search plus vector), or a consistent real-time context engine for AI teams often find themselves adding separate services and taking on more operational surface area to cover the gaps.
Redis Cloud is a data platform built for all of it.
Walk away with a better understanding of why Redis Cloud can unlock possibilities and capabilities in production and what “fully managed” should look like, and how Redis Cloud helps you:
Fast apps fast, plus platform scope: caching plus search/retrieval, streams and pub/sub, JSON and structured patterns, and AI patterns like semantic caching and agent memory.
Real-time context engine for AI: unify memory, caching, coordination, and retrieval modes close to the application.
Cost-efficiency levers: Flex, tech consolidation, multi-cloud and multi-tenancy are TCO/cost narratives; avoid absolute TCO claims without reference/proof points.
Full-stack support and expertise: More than just service uptime, coordinated incident response across the managed service and the Redis stack (database, management, client libraries, and tooling), with RCAs/corrective actions and proactive help on tuning, planning, and operations.
Live Q&A to follow to answer your Redis Cloud and migration questions.
Speakers
Redis
Jim Tessier
Principal Technical Product Marketing Manager
RSVP
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