Dragonfly’s Post

I recently productionised Redis stack for a vector search use case with RedisVL client. Found no concrete resource to configure it with docker compose, hence wrote a small blog article how to configure it with max-memory and key eviction policy on reaching max-memory. FYI: Tyler Hutcherson #redis #docker #vectorsearch

See how easy it is to migrate from a #Redis Cluster to a Single Instance #Dragonfly instance! If you want to learn more about this transition and how it will benefit our system, check out this informative video: https://hubs.la/Q02rXcWM0 Don't miss out on the opportunity to see behind the scenes of our migration process!

January 15th, 2025.....Don’t miss the first-ever Redis virtual community meetup, where Redis users come together to share what’s working and explore what’s next. We’ll show you the latest Redis updates, host a live A.R.A (Ask Redis Anything) session with our experts, and point you toward resources to expand your Redis expertise. #Redis

Just saw Redis 8.0-M02 in action, and wow—it’s insanely fast! They’ve achieved up to 54% lower latency on key commands, making it a huge leap in performance. The improvements in their vector query engine are mind-blowing too, handling up to 1 billion vectors with real-time precision. It’s crazy to think how much more efficient Redis has become for both traditional and modern use cases. Redis keeps setting new standards in speed and scalability—huge respect for the team behind this! Check it out: https://lnkd.in/gF2ikSuZ #Redis #Scalability #PerformanceMatters

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

Looking for a seamless #migration strategy from #Redis to #Dragonfly? Check out our latest blog post "Zero Downtime Migration from Redis to Dragonfly using Redis #Sentinel" for insightful information. Read it here: https://hubs.la/Q02w0FDN0

No Cap: The Essentials of Redis. Part 2 In our latest article, we delve deeper into Redis and explore one of its essential configurations for high availability—master-slave replication. Start your journey toward mastering Redis replication here: https://lnkd.in/dQ-iEgQt #Nixys #Redis

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

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

Experience the power of #Dragonfly compared to #Redis in handling significant workloads in our concise, newly released video. https://hubs.la/Q02lWqCg0 Watch 'Scaling Workloads - Redis vs Dragonfly' now! Boost your understanding of advanced workload management. #WorkloadManagement