Introducing Model Context Protocol (MCP) for Redis
• MCP is a standard enabling AI agents to tap live data and tools beyond static training. • It solves static knowledge limits by connecting models to real‑time sources like weather
• MCP is a standard enabling AI agents to tap live data and tools beyond static training. • It solves static knowledge limits by connecting models to real‑time sources like weather
• Azure Managed Redis (AMR) now generally available, offering fully‑managed, first‑party Redis on Azure. • Built on Redis 7.4, with upcoming access to Redis 8.0 for advanced featur
• OpenShift AI gives enterprises a unified platform to deploy, manage, and scale AI/ML workloads efficiently. • Redis, the fastest in‑memory database, now supports vector storage,
• Datadog ingests hundreds of trillions observability events daily across thousands of Kafka clusters and topics. • Traditional static Kafka configs hinder rapid recovery from brok
• Husky layers over object storage, using fragments to batch trillions of daily events. • Metadata per fragment lets queries locate relevant data without scanning entire store. • D