Redis

New look, same Redis. We set the standard for fast. Now we’re pushing things even further so you can work faster—spending more time building and less time managing data, building fast apps with better UX, and working with fewer interruptions. See how fast feels.

Headed to Vegas for AWS re:Invent? Don't miss our session at 3:30 pm on Tuesday, Dec. 3 at Caesar's Palace, "Redis + Asurion: How to build for fast customer support using RAG." Tyler Hutcherson, senior applied AI engineer at Redis, and Harsh Tomar, data scientist at Asurion will break down how the insurance giant improved customer service for 300 million users. Using Redis to build a GenAI architecture for its chat bots that combined RAG, semantic routing, and semantic caching, Asurion made responses 50 percent faster, got four times more engagement, and grew revenue. After the session, make sure to visit us at booth 1528, see a demo, talk to a Redis expert, and grab some swag (we've got some good surprises in store). https://lnkd.in/gyZji5XN

Redis CTO Benjamin Renaud took the stage at Microsoft Ignite yesterday to help introduce Azure Managed Redis, a new fully-managed, first-party Redis offering in Microsoft Azure. AMR covers the entire gamut of use cases giving you flexibility whether you have transaction, memory, or storage-heavy workloads. There's the right AMR instance no matter your need, if you're a dev using Redis for the first time or an engineer scaling hundreds of Redis instances. See how AMR can help you build using the best of the Redis and Azure ecosystems: https://lnkd.in/gkwVYZFe Cc: Rowan Trollope

We’re ending the year at tech events around the globe. Connect with Redis experts at FIMA Europe, Redis Connect Mumbai, and AWS re:Invent. Can’t make it? Check out the upcoming Redis Demo Series to get started with Redis Cloud for free and learn about Redis Community Edition. Visit our events and webinars page to stay in the loop: https://redis.io/events/

Microsoft ?? Redis: Azure Managed Redis is here. It’s a new fully-managed, first-party Redis offering co-engineered in collaboration with Microsoft Azure, available today in public preview. Microsoft Azure is the first major cloud service provider to offer its customers a licensed, multi-tiered Redis service and gives Azure devs access to our latest products and capabilities. Check out the most advanced and performant Redis offering on Azure yet: https://lnkd.in/gkwVYZFe Cc: Rowan Trollope

Build production-ready AI apps fast with Redis for AI, our integrated package of services and capabilities that gets your GenAI apps into production faster. From our vector database to personalized responses, and fast scalable data infrastructure supporting a range of AI agents so you get high-performing AI apps to production faster. Learn more: https://lnkd.in/gPzeK6qn

Looking to sharpen your Redis skills? Take a Redis University course. There’s a learning path and courses for all levels: https://lnkd.in/gaibUm6g

It’s time for 'What’s New in Two’—swipe to see a roundup of new features and enhancements for October. Check out the full blog: https://lnkd.in/gdma87B3

Heading to AWS re:Invent this year? Find Redis at booth 1528 and see how we're building the future of fast. We'll be there to talk to you about fast data infrastructure from caching, to databases and stores, as well as AI infrastructure (and more). Or, just grab some cool swag. That's not all we have planned. There's also a Redis happy hour, a customer session with Asurion about using RAG to build fast customer support, and other games and prizes at our booth. Check out our entire agenda for Las Vegas. We'll see you there. https://lnkd.in/gyZji5XN

One major trend I see in the world of Enterprise GenAI is the rapid adoption of centralized "Gateway" strategies for AI Inference. While at first glance this may feel like the API Gateway projects from 5-10 years ago, building a gateway that can analyze and take action based on LLM prompts while being on the "hot-path" is a different ball game. It requires: ?? Developing a semantic understanding of the prompts with very low latency vector searches ?? Low-latency operations across a wide variety of services. You need a fast but versatile database for this that can support everything from rate-limiting to storing masked PII data ?? Unique capabilities like semantic caching and semantic routing to optimize AI inference. Here is a quick overview of AI Gateways and how to enhance your gateway using Redis https://lnkd.in/gGQW_Vnf.