go-cache-benchmark
1m-go-tcp-server
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go-cache-benchmark | 1m-go-tcp-server | |
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1 | 1 | |
57 | 1,857 | |
- | - | |
3.0 | 0.0 | |
6 months ago | about 3 years ago | |
Go | Go | |
- | - |
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go-cache-benchmark
1m-go-tcp-server
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Network Scaling Question/Issue
I understand I solution is load balancing but the code isn't well prepared for that at the moment. I found something called epoll . After implementing in test, I came to realise the amount of workers = the number of tcp connections you can handle. When attempting to use 9000 workers, the server takes very long to start. At the moment I am trying to fulfil over 5000 tcp connections concurrently , each proxying to other servers (sometimes similar servers).
What are some alternatives?
ristretto - A high performance memory-bound Go cache
go-plugin-benchmark - Benchmark comparing the go plugin package to other plugin implementations
lru - Thread safe GoLang LRU cache
gev - 🚀Gev is a lightweight, fast non-blocking TCP network library / websocket server based on Reactor mode. Support custom protocols to quickly and easily build high-performance servers.
cache - Mango Cache 🥭 - Partial implementation of Guava Cache in Go (golang).
dnstrace - Command-line DNS benchmark
lru - LRU cache using go generics
golang-graphql-benchmark - benchmark of golang GraphQL framework.
redhub - High-performance Redis-Server multi-threaded framework, based on rawepoll model.
gnet - 🚀 gnet is a high-performance, lightweight, non-blocking, event-driven networking framework written in pure Go./ gnet 是一个高性能、轻量级、非阻塞的事件驱动 Go 网络框架。