Emeric Tabakhoff’s Post

📢 Are you facing performance issues with BullMQ? Discover how Dragonfly overcomes the Redis bottlenecks in BullMQ in our latest video. Dive deep into the world of caching and understand how to boost your performance and speed. 👉 https://hubs.la/Q02w055d0

Track Redis performance, memory, activity, persistence, and errors in a single pane of glass in minutes. Get started: https://lnkd.in/gAAG69HH

✅ Build a logging pipeline in Scale Mesh using Redis Pub/Sub feature, pushing logs from the container to a channel and subscribing to that channel from a WebSocket server to see the logs in real-time.

DiceDB's throughput is not 5x, but 10x of Redis, and it can do 2 million ops/sec peak on a 24-core machine while Redis' peak was 200k 🔥 DiceDB is also better in p50 and p90 latency numbers - essentially 5x better in median latency. If you want to dig deeper into the nuances and steps to reproduce the numbers, check dicedb.io/benchmarks and blogs on the website. github.com/dicedb/dice #softwareengineering #DiceDB #DatabaseInternals

Are you wondering how Dragonfly compares to Redis? Our new video provides a comprehensive breakdown of the key differences, including performance, features, and scalability. Whether you’re choosing a new DB solution or just curious, this video is a must-watch. Engage with us in the comments and share your thoughts! Watch here: https://hubs.la/Q02Kczst0 #Dragonfly #Redis #Database #TechComparison #DeveloperCommunity

Optional Parameters in Go, You can use variadic parameters but ............. You know, It might not be the best choice. Let's uncover the alternative in the post. An example is straight from Redis Go Client.

Came across a blog post for beginners to understand at a high level the RESP Redis serialization protocol. https://lnkd.in/gRWWpCie

What’s the Differences between Dragonfly and Redis? @roman Gershman gives us his insights in this short video, we explore how Dragonfly outperforms traditional databases with its advanced caching and storage strategies. Whether you’re dealing with high-traffic applications or complex data operations, this video will provide insights into optimizing your database performance. 👉 Watch the full video here https://hubs.la/Q02NkttP0 Let us know your thoughts in the comments! How do you optimize your databases? #DatabaseOptimization #Dragonfly #TechInnovation #DataHandling #InMemoryDatabase #TechCommunity #Redis

Learn how to build agentic RAG with semantic caching to speed up common queries! In this collaboration with Redis, Tyler Hutcherson and Laurie Voss explain how to build world-class RAG applications optimized for quality, efficiency and cost. https://lnkd.in/g7UwUaGX

#Day90 of my #100DaysOfALXSE challenge Today, I focused on understanding and utilizing Redis with Node.js. Here are the key takeaways: - Learned how to run a Redis server on my machine. - Conducted simple operations using the Redis client. - Integrated a Redis client with Node.js for performing basic operations. - Explored storing hash values in Redis. #ALX_SE #DoHardThings #100DaysOfCode