Cache database query results across multiple app servers without running a separate Redis or memcached instance.
Share frequently-read static data across a fleet of Go processes, with automatic mirroring of hot items so no single machine gets overloaded.
Prevent thundering-herd overload on a cache miss by having groupcache coordinate so only one process fetches the data while others wait.
| golang/groupcache | github/gh-ost | crowdsecurity/crowdsec | |
|---|---|---|---|
| Stars | 13,337 | 13,338 | 13,318 |
| Language | Go | Go | Go |
| Setup difficulty | easy | moderate | moderate |
| Complexity | 2/5 | 4/5 | 3/5 |
| Audience | developer | ops devops | ops devops |
Figures from each repo's GitHub metadata at analysis time.
groupcache is a Go library for caching data across multiple servers without needing a separate caching server process. It was created at Google and originally used to power their download service at dl.google.com. The idea is that the library itself acts as both the client and the server: your application processes form a cluster and share cached data directly with each other. The project positions itself as an alternative to memcached, which is a widely used external caching system that runs as its own separate service. With groupcache, you do not need to set up and manage that separate service. Instead, each application process joins the group, and the library handles distributing the cached data across all the processes automatically. One notable feature is how it handles cache misses, which is when a requested piece of data is not yet in the cache. Instead of every waiting process going off to fetch the data independently and hammering the underlying database, groupcache coordinates so that only one process does the fetch. All the others wait and then receive the same result. This prevents the kind of sudden overload spike that can occur when many clients all try to re-fill a cache at the same time. For very frequently accessed items, groupcache can mirror the value across multiple processes automatically, so no single machine gets overloaded by requests for the same hot piece of data. The tradeoff is that groupcache does not support cache expiration or explicit deletion. Once a key is set, it stays. This makes it suitable for data that does not change, but not for anything that needs to be updated or invalidated over time. The library is Go only and is not planned for other languages.
A Go library that lets your application servers share a cache directly with each other, eliminating the need for a separate caching server like memcached. Only one process fetches missing data even when many requests arrive at once.
Mainly Go. The stack also includes Go.
Setup difficulty is rated easy, with roughly 30min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
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