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.

Join us on Wednesday, November 6 for Redis Released Worldwide, our virtual, half-day event about all things Redis: products, deep dives, demos, and insight from some of the smartest companies in the world (yes, we're biased). Here's what you have to look forward to: • Dell Technologies will discuss how it built custom real-time architecture using Nvidia and Redis that helps it handle data fragmentation, maintain low latency and high resilience, all while keeping costs low. • The founders of Relevance AI and Superlinked will talk about how both companies are tackling complex AI and machine learning challenges, and the role Redis plays in supporting their technical infrastructure. • Bank of America and Amazon Web Services (AWS) will look at how AI is transforming financial services, dive into how AI is changing customer experiences, automation and fraud detection, and how it manages models at scale. All this, and you'll get a look at everything coming up in the world's fastest data platform. Save your seat here: https://lnkd.in/gxNug6v5

Can you believe it's October 1st? Before you jump into the new month, let's quickly catch up on the latest and greatest for Redis in September. Want a quick video recap? Here it is: https://lnkd.in/g-U27M3T A huge effort went into creating a new Redis University for those who want to become a Redis expert with many new curated learning paths like my favorite - Operate Redis Cloud. A new Terraform update for Redis Cloud, a cool and easy way to test Redis on the Vercel marketplace with a new template session store app, a multi-factor authenticator enhancement, and more. Check out the blog to get all the links to get a closer look: https://lnkd.in/g_XZ4kXB Shoutout to some of the people behind these updates and enhancements 🔽 Jonathan Salomon Noam Stern Sowmya Narayanan Cody Henshaw Sallie Gamboa

Join our CEO, CTO, and leaders from NVIDIA, Bank of America, Dell Technologies, Superlinked and Relevance AI at Redis Released: New York City on October 17. We'll be hearing how these companies are building fast with Redis, and showing why Redis is a must-have in every new GenAI stack. Register here: https://lnkd.in/gcuNxd6Z

The Jedis and redis-py client libraries for Redis now support client-side caching. If you want to learn more about the feature and why it can be beneficial to the performance of your application and help reduce network traffic and costs, take a look at the documentation. https://lnkd.in/ek9VAnyf For code samples, check the specific clients' pages. https://lnkd.in/edTvyg85 https://lnkd.in/eN4pgkRm #redis #clientsidecaching #realtime

Whats the best way to build a search app for user-generated classified ads? Step 1: Setup a data pipeline using GlassFlow.dev for real-time orchestration Step 2: Use LangChain to enrich of ads with summarization etc. (and maybe generate metadata?) Step 3: Vectorize and store in the fastest vector database in the market i.e., Redis to search and retrieve ads

We've been to Bengaluru, Singapore, and London (and soon New York). Now, the future of fast is going virtual. See what’s next for the world’s fastest data platform at Redis Released: Worldwide, the final—virtual—stop in our global event series. Hear from Bank of America, NVIDIA, and Viacom on November 6 at 10am PST. Register now at: https://lnkd.in/gKb279d6

Did you know that in #𝗥𝗲𝗱𝗶𝘀 𝘃𝟳.𝟰, 𝘁𝗵𝗲𝗿𝗲 𝗶𝘀 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 𝘁𝗼 𝘀𝗲𝘁 𝗲𝘅𝗽𝗶𝗿𝘆 𝗮𝘁 𝘁𝗵𝗲 𝗛𝗔𝗦𝗛 𝗳𝗶𝗲𝗹𝗱 𝗹𝗲𝘃𝗲𝗹. But the important part is that there is an 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗮𝗹 𝗲𝗻𝗵𝗮𝗻𝗰𝗲𝗺𝗲𝗻𝘁 𝗳𝗼𝗿 𝗸𝗲𝘆𝘀𝗽𝗮𝗰𝗲 𝗲𝘅𝗽𝗶𝗿𝗮𝘁𝗶𝗼𝗻 𝗶𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝗯𝘆 𝗽𝗿𝗲𝘀𝗲𝗻𝘁𝗶𝗻𝗴 𝗮𝗻 𝗮𝗹𝘁𝗲𝗿𝗻𝗮𝘁𝗶𝘃𝗲 𝗱𝗮𝘁𝗮 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗸𝗻𝗼𝘄𝗻 𝗮𝘀 𝗲𝗯𝘂𝗰𝗸𝗲𝘁𝘀, boasting a reduced memory cost of approximately ~20 bytes of metadata per item compared to the existing ~40 bytes in the dict for expiry. Redis also introduce a 𝗻𝗲𝘄 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲, 𝗻𝗮𝗺𝗲𝗱 𝗠𝗦𝗧𝗥, 𝘄𝗵𝗶𝗰𝗵 𝘀𝘁𝗮𝗻𝗱𝘀 𝗳𝗼𝗿 𝗶𝗺𝗺𝘂𝘁𝗮𝗯𝗹𝗲 𝗦𝗧𝗥𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗠𝗲𝘁𝗮𝗱𝗮𝘁𝗮. It comes as a replacement for SDS-fields in a hash. Whereas SDS only allows manipulation of strings, with MSTR we can add and remove metadata attached to immutable strings generically. The chart presents the performance test of setting expiration for 10 million fields, each with various expiration times, within a single hash. 𝗥𝗲𝗱𝗶𝘀 𝘀𝘁𝗮𝗻𝗱𝘀 𝗼𝘂𝘁, 𝗮𝗰𝗵𝗶𝗲𝘃𝗶𝗻𝗴 𝘂𝗽 𝘁𝗼 𝟰𝟵% 𝗵𝗶𝗴𝗵𝗲𝗿 𝘁𝗵𝗿𝗼𝘂𝗴𝗵𝗽𝘂𝘁 𝗶𝗻 𝗶𝘁𝘀 𝗯𝗲𝘀𝘁 𝗰𝗮𝘀𝗲 𝗰𝗼𝗺𝗽𝗮𝗿𝗲𝗱 𝘁𝗼 𝗦𝗟𝗔𝗕_𝗠𝗢𝗗𝗘 𝗮𝗻𝗱 𝘂𝗽 𝘁𝗼 𝟮𝟱% 𝗵𝗶𝗴𝗵𝗲𝗿 𝘁𝗵𝗿𝗼𝘂𝗴𝗵𝗽𝘂𝘁 𝗰𝗼𝗺𝗽𝗮𝗿𝗲𝗱 𝘁𝗼 𝗦𝗢𝗥𝗧_𝗠𝗢𝗗𝗘. 𝗞𝗲𝘆𝗗𝗕 𝘀𝘁𝗿𝘂𝗴𝗴𝗹𝗲𝗱 𝘄𝗶𝘁𝗵 𝗘𝗫𝗣𝗜𝗥𝗘𝗠𝗘𝗠𝗕𝗘𝗥 𝗮𝘁 𝘀𝗰𝗮𝗹𝗲, 𝘀𝗵𝗼𝘄𝗶𝗻𝗴 𝗶𝗻𝘁𝗼𝗹𝗲𝗿𝗮𝗯𝗹𝗲 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗮𝗻𝗱 𝘃𝗲𝗿𝘆 𝗹𝗼𝘄 𝘁𝗵𝗿𝗼𝘂𝗴𝗵𝗽𝘂𝘁, 𝗱𝗿𝗼𝗽𝗽𝗶𝗻𝗴 𝗯𝗲𝗹𝗼𝘄 𝟭𝗸 𝗼𝗽𝘀/𝘀𝗲𝗰 𝗮𝗳𝘁𝗲𝗿 𝗵𝗮𝗻𝗱𝗹𝗶𝗻𝗴 𝗼𝗻𝗹𝘆 𝟱% 𝗼𝗳 𝘁𝗵𝗲 𝘁𝗿𝗮𝗳𝗳𝗶𝗰. 𝗘𝘃𝗲𝗻 𝘄𝗶𝘁𝗵 𝗮 𝗿𝗲𝗱𝘂𝗰𝗲𝗱 𝘁𝗲𝘀𝘁 𝗼𝗳 𝟭 𝗺𝗶𝗹𝗹𝗶𝗼𝗻 𝗳𝗶𝗲𝗹𝗱𝘀, 𝗞𝗲𝘆𝗗𝗕 𝘀𝗵𝗼𝘄𝗲𝗱 𝘁𝗵𝗲 𝘀𝗮𝗺𝗲 𝗽𝗼𝗼𝗿 𝗿𝗲𝘀𝘂𝗹𝘁𝘀. For more insights from Moti Cohen, read his blog: https://lnkd.in/d_DC-Yxg #redis #hash #TTL #expiry #keyspace #ebuckets

Missed our Redis Demo Series earlier this month? No biggie. Check out our upcoming sessions in October covering: 🗓️ Getting Started with Redis Cloud on October 2nd at 10am PT with Charlie Wang (https://bit.ly/3YoUETX) 🗓️ Intro to Redis on October 16th at 10am PT with Talon Miller (https://bit.ly/4dkiQuv) You’ll learn about Redis and its capabilities, get access to Redis Cloud for free, and see why developers love us. Sign up here: https://redis.io/events

Docugami uses generative AI to transform entire documents into actionable data for customers. They were in need of a vector database that could accelerate essential generative AI tasks like RAG and vector search, so they turned to Redis. With Redis, storing, searching, and updating vector embeddings is effortless, keeping Docugami’s model updated with the latest context. Read how Redis enhanced Docugami's performance, reliability, and scalability: https://lnkd.in/g6Z4RYVS