Dragonfly’s Post

✅ 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.

NATS JetStream is not just streaming but also a proper KV data store with many features beyond just Put, Get and Delete, and can hold it's own when compared to the reference that is Redis in many use cases. Another great video by Jeremy Saenz going through all the KV features currently available (and some of the upcoming 2.11 features) in NATS.

KeyValue stores in modern distributed systems with multi-geo, multi-cloud provider and edge awareness. This one worth bookmarking to view.

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

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

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.

In case sidekiq (with redis) is bugged with many queues $ redis-cli flushdb

Fastest way to understand why Redis is so fast.

How to Monitor Valkey/Redis with Percona Monitoring and Management Ever wanted to monitor Valkey/Redis like a pro? Dive into this guide by @Percona where they unravel the secrets of adding external exporters to Percona Monitoring and Management (PMM). VictoriaMetrics does the grunt work, making friends with Prometheus to keep you in the loop. Whether it's Valkey, Redis, or another tech love of yours, the principles remain the same. Think of PMM as the Swiss Army knife for your DB needs. It uses Prometheus exporters, so you've got versatility at your fingertips. Ready to level up your monitoring game? Check the detailed walkthrough here: https://lnkd.in/e2hceE6a Credit to the awesome Percona team for this gem! https://lnkd.in/eu6XmMEW

Reduced our redis cost yesterday by $36 per year. Building your own docker image can save cost rather than using a provided one. The most important thing is to start with the simplest solution when doing that.