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.

More than 2.5M users rely on CheQ to help them manage their credit, processing nearly 10 million transactions across services like credit card bill payments, utilities, education, and personal lending. As CheQ’s user base exploded, it needed a fast data infrastructure that customers could rely on—sub-millisecond response times, rock-solid stability, and uninterrupted service were non-negotiable. See how CheQ used Redis to: ➡️ Achieve sub-millisecond response times across its 50+ microservices, enabling fast API responses that power smooth page loads and seamless interactions. ➡️ Manage authentication and maintain session continuity. ➡️ Build its own downtime detection module that monitors partner payment gateways in real time and proactively selects the most reliable options. Watch the video and read more here: https://lnkd.in/g_2iUR4r

DoorDash used Redis to build an ML-powered global search and recommendation engine for restaurants - here’s what they saw: → 62% reduction in overall memory usage, from 298 GB of RAM to 112GB → 65% reduction in CPU use from 208 CPUs to 72 per 10 million reads per second. Read more here: https://lnkd.in/g_ys5RYp Cc: Richard Oliver Bray

Loblaw Digital, Canada’s leading grocery and e-commerce retailer, needed real-time inventory management to support its multi-billion dollar digital operations. Loblaw chose Redis Cloud, which now handles back-end stock updates and supports high-volume transactions on the front end. Our advanced clustering technology keeps operations running smoothly and makes sure the shopper experience is uninterrupted.  Read the full story here: https://lnkd.in/gMBKKPYY

About 6 in 10 business leaders are concerned about AI integration, high costs for model inferencing, and the expense for model training. We partnered with MIT Technology Review to uncover the challenges businesses face when trying to implement GenAI into production and map out how they can tackle them. Check out the full report for: → Actionable strategies → Insights from industry leaders → Real-world data from 250 business leaders Learn more: https://lnkd.in/evjKC4GF

2025 is going to be the year of AI agents. We put together a guide to AI agent infrastructure to show you which tools you'll need to build agentic systems. Learn about orchestration, models, hosting, memory and more. https://lnkd.in/eKrNmS4y

It’s time for 'What’s New in Two’—swipe to see a roundup of new features and enhancements for November. Check out the full blog: https://bit.ly/4ggqIzv

Wonderful post by Dell Technologies about using Redis alongside the Dell AI Factory infrastructure to get AI apps into production faster. Redis' speed paired with Dell AI Factory's frameworks helps devs do faster, more accurate RAG letting businesses develop, deploy, and scale AI use cases efficiently. 📖 Read more here: https://lnkd.in/gQavGg7J

Our feet are sore, our voices are hoarse, and we still need to catch up on sleep, but AWS re:Invent was a huge success. Thank you to everyone who stopped by our booth to talk with us, attend a solutions session, or just play our game and grab some swag.

Axis Bank is the third-largest private sector bank in India. With more than 6 million people relying on its mobile app, Axis needed to make that experience sing. Using Redis Data Integration to easily build data pipelines from its legacy database into Redis, Axis Bank was able to ingest relevant records without complex code or expensive ETL tools, and give its users a fast, stable banking experience. Get the full scoop here: https://lnkd.in/gXnK8GKP