28 results for “topic:groupcache”
🦄【轻量级本地内存缓存】🤏代码少于300行⌚️30s接入🚀高性能、极简设计、并发安全🌈支持LRU 和 LRU-2模式 🦖支持分布式一致性 [ecache] Extremely easy, ultra fast, concurrency-safe and support distributed consistency. Similar to bigcache, cachego, freecache, gcache, gocache, groupcache, lrucache.
🏠参考groupcache实现的分布式缓存，并在此基础上使用gRPC进行节点间通信，并用etcd作为服务注册与发现。
Easy groupcache clustering on GCE
kubegroup provides autodiscovery for groupcache peer pods in kubernetes cluster
Easy scaling distributed Key/Value dababase
[Go] A high performance distributed cache engine for Golang
The practice for groupcache
groupcache学习
groupcache_ratelimit provides rate limiting for distributed applications using groupcache.
Distributed cache with gossip peer membership enrollment.
a generic cache interface
🦄【轻量级本地泛型内存缓存】🤏代码少于300行⌚️30s接入🚀高性能、极简设计、并发安全🌈支持LRU 和 LRU-2模式 🦖支持分布式一致性 [ecache2] Extremely easy, ultra fast, concurrency-safe and support distributed consistency generic LRU cache. Similar to bigcache, cachego, freecache, gcache, gocache, groupcache, lrucache.
groupcache_oidcpismo implements the OIDC flow for Pismo while cacheing tokens with distributed cache groupcache.
Sample project of using mailgun/groupcache in docker-compose
Go module groupcache_awsemf exports groupcache metrics to AWS CloudWatch Logs using Embedded Metric Format.
groupcache variant using gossip for peer discovery
kubecache forwards HTTP GET requests to another service, cacheing responses with groupcache.
This is a Python binding for groupcache.
groupcache demo
Yet another GroupCache-like distributed caching system.
Sample project of using hashicorp/memberlist with mailgun/groupcache in docker-compose
Embedded distributed rate limitter with in multiple servers
🏠参考groupcache实现的分布式缓存 ，并在此基础上使用gRPC进行结点通信 ，使用etcd作为服务注册与发现，新增了缓存过期功能。缓存基于LRU淘汰策略 ，支持并发读写 ，解决了缓存穿透 ，缓存击穿 ，缓存雪崩带来的缓存安全问题。
分布式缓存。See https://github.com/geektutu/7days-golang
groupcache_datadog exports groupcache metrics to Datadog.
groupcache_oauth2 implements the oauth2 client_credentials flow cacheing tokens with groupcache.
Embedded distributed caching with in multiple servers
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