Radish: Dig Deep Into Redis

Nick Quaranto

It’s no secret that we’re big fans of Redis here at thoughtbot. Redis has great data structures, plenty of fantastic libraries for interacting with it, and is plain fast. Several questions kept arising though every time we deployed Redis to Hoptoad and several client projects: What’s actually going on inside of Redis? What data is being stored, how much, and how fast?

Our answer to these questions is a new Redis analysis and monitoring service, Radish.

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Radish works side-by-side with your existing Redis instances in your hosting environment. All you need to do is start a daemon which handles connecting to Redis and sending data out to Radish over HTTPS.

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So, what can Radish do?

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Picking out spikes in Redis operations is helpful to correlate to web traffic, or lack thereof! We also split out the types of commands for reads vs. writes (GET vs SET, for instance). “Other” commands are usually admin/maintenance actions such as INFO.

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We also track several stats about your Redis instance, such as average commands per second, memory usage, changes since last save, and keyspace size. A growing keyspace and memory size is a constant effort when maintaining a Redis instance, and Radish can help you track it and keep it to a manageable level. Tracking changes since last save has also helped us figure out that we don’t SAVE our Redis data enough, which could have dire effects if the Redis instance was to go down.

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Breakdown of high-frequency commands, keys, and namespaces assist in determining what your instance is processing. Learn what keys are being written to and when. Highlight the areas of your code that might be wasting memory on your Redis instance. Radish makes it possible to show what might be blocking Redis from serving requests since it is single-threaded.

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Radish is already helping us understand what our Redis instances are up to without a lot of custom scripts and temporary hacks. Sign up, get it running with your Redis instances, and let us know how it goes!

Huge thanks to my fellow robots for helping me getting this idea off the ground. Our beta testers also deserve kudos for hammering us with live traffic and exposing lots of fun bugs.