Advice for writing enterprise-level API in Go?

• viper

  74 26,760 9.2 Go

  Go configuration with fangs

  For configs, given you haven't mentioned what sort of configs - I'd generally recommend viper.

• InfluxDB

  www.influxdata.com featured

  Purpose built for real-time analytics at any scale. InfluxDB Platform is powered by columnar analytics, optimized for cost-efficient storage, and built with open data standards.

  

• Testify

  66 23,016 7.8 Go

  A toolkit with common assertions and mocks that plays nicely with the standard library

  

  I haven't needed to use anything outside the standard library for testing - the only exception to this being testify, which I use for the easy assert.Equal and other wrappers most of the time.

• node-config

  20 6,269 4.5 JavaScript

  Node.js Application Configuration

  

  How do I handle configs? In our Node APIs we use this config package, which allows us to override default configs on a per-environment basis. What's the standard way of doing this in Go?

• zerolog

  39 10,384 7.2 Go

  Zero Allocation JSON Logger

  For #2 I use zerolog, which logs as JSON lines, but gives you considerable control over the output. The standard package is fine if you just want regular ol' text logs, however

• zap

  53 21,673 7.8 Go

  Blazing fast, structured, leveled logging in Go.

  

  I use zap for logging. With some planning, you can easily switch between logging to JSON or Plaintext (the former is faster but less readable). Though, that comes with a learning curve - you'll have to spend some time reading the docs before you can actually start using zap in production. On the other hand, logrus is pretty simple to use, but relatively quite slow (this might not matter for personal projects, but probably will in production). And of course, there's the standard package as well! Take your pick ;)

• logrus

  36 24,516 0.0 Go

  Structured, pluggable logging for Go.

  I use zap for logging. With some planning, you can easily switch between logging to JSON or Plaintext (the former is faster but less readable). Though, that comes with a learning curve - you'll have to spend some time reading the docs before you can actually start using zap in production. On the other hand, logrus is pretty simple to use, but relatively quite slow (this might not matter for personal projects, but probably will in production). And of course, there's the standard package as well! Take your pick ;)

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