Redis

What starts as “one cluster per app” quickly becomes dozens or hundreds of clusters across regions and teams. The result? ⚙️ More operational overhead 💸 Wasted compute and memory 📈 Rising cloud bills ⏱️ Endless right-sizing friction Some companies force a cluster-per-workload model, locking resources into silos that grow over time. But Redis takes a different approach. With true multi-tenancy, Redis lets teams isolate multiple databases within a single cluster, reducing sprawl, simplifying management, and improving efficiency at scale. This is part of our Redis vs. ElastiCache series, where we dive deeper into cost efficiency, AI & vector search, and multi-cloud flexibility. Read the full series to see how Redis compares across every dimension: https://lnkd.in/gEBvvaT2 

Vector Compression almost always works.... Which is why recently rolled out next-gen vector compression for blazing-fast, memory-efficient search. 💥 Up to 74% less memory, 60% lower latency, and 2×+ higher QPS — all without losing accuracy! Think quantization, dimensionality reduction, and serious performance magic — now built into Redis' Vector Store. 🚀 Scale your embeddings smarter, faster, and cheaper. 👉 Dive in: https://lnkd.in/eRgzzBE7 #Redis #AI #VectorSearch #Innovation #Intel #MachineLearning

We’re teaming up with Microsoft at Ignite 2025 to showcase how Azure Managed Redis is powering the next wave of intelligent, real-time applications. Together, Redis and Microsoft are reimagining what’s possible in the cloud, combining our real-time data platform with Azure’s global scale to power the next generation of intelligent applications. Learn how Redis on Azure now supports: - High-performance caching for demanding workloads - Vector storage for RAG and semantic caching - Agentic memory layers that give AI systems real-time context Don’t miss the Pre-Day Workshop and Breakout Session (BRK129) to see Redis in action with Azure AI Foundry and the Microsoft Agent Framework, led by our very own Philip Laussermair, Roberto Perez, and Katsuri Vartak. Sign up here: https://shorturl.at/IPyqW

It’s not too late to catch Redis Released in a city near you—we’ll be in Mumbai, Tel Aviv, and Delhi next. Register here before all the spots fill up: https://redis.io/released/

ICYMI: Featureform is joining Redis 💥 Together, we’re making it easier than ever to bring real-time data into AI, combining our speed with Featureform’s powerful framework for managing and orchestrating structured data. With Redis + Featureform, we’ll offer a feature store that can connect fast vector search with rich, structured context—so your AI agents don’t just respond quickly, they respond intelligently. Huge thanks to Nasdaq for featuring us in Times Square. Read more about the acquisition here: https://lnkd.in/eMXEJfze

Don’t get spooked by your LLM costs. Save up to 90% on API costs using LangCache, our managed semantic caching service — no tricks, just treats. Check out our calculator to see how much you can save using LangCache: https://lnkd.in/gb9VQGCp Read more about LangCache and get started for free today: https://lnkd.in/gf4yUEuS

looks like a great session for anyone building agents. LangGraph + Redis/Redis LangCache is the dream stack for agents :)

"We've invested heavily in AI to make sure that our technology is perfectly suited to these new evolving AI apps. And it's still happening. We're still in that process of invention and solidifying what tools we can provide to make it easy for developers to build agents." In an interview with Nasdaq, our CEO Rowan Trollope explains how Redis is evolving from being a foundational infrastructure of the cloud / mobile era into a key piece of the memory layer in the new AI / agentic stack. Watch the full interview here: https://lnkd.in/giMzK85d

Watch this 2 minute video to see how you can easily setup LangCache to make your AI apps faster, reduce your token usage dramatically and save yourself from the token explosion!! https://lnkd.in/guSucYvV