Our great sponsors
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rpcx
Best microservices framework in Go, like alibaba Dubbo, but with more features, Scale easily. Try it. Test it. If you feel it's better, use it! ๐๐๐ฏ๐ๆ๐๐ฎ๐๐๐จ, ๐๐จ๐ฅ๐๐ง๐ ๆ๐ซ๐ฉ๐๐ฑ! build for cloud!
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Glide-IM
Discontinued A high performance, distributed, open source instant messaging app, write in Go. [Moved to: https://github.com/Glide-IM/GlideIM]
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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Gin
Gin is a HTTP web framework written in Go (Golang). It features a Martini-like API with much better performance -- up to 40 times faster. If you need smashing performance, get yourself some Gin.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
GlideIM uses RPCX as the basis for microservices. The out-of-the - box microservice solution made me choose it. RPCX has rich functions, superior performance, integrated service discovery, and multiple routes. Scheme, and failure mode, service discovery using ETCD.
Server source code: GlideIM - GitHub
Android : Glide-IM-Android - GitHub
Web: Glide-IM-Web - GitHub
BurntSushi / toml : This is an excellent configuration file format, which I personally prefer
gin: Excellent HTTP Web Framework
protobuff : Google's binary data transfer protocol
gorilla/ websocket : The most star WebSocket library in Golang
nsq : simple, high performance, distributed MQ
go- redis / redis : Redis client
If you cannot run the code in the IDE due to dependencies or other reasons , you can download the compiled executable in singleton mode at here.
NSQ is a message queue implemented by Golang, and all messages are routed through NSQ. Reasons for choosing NSQ compared to other MQs: decentralized distribution (direct connection between production and consumption), low latency, No ordering, high performance, simple binary protocol.
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- For those running Go in production at scale, what do you use for distributed task queues?