explaingit

zouyonghe/log

Analysis updated 2026-07-18 · repo last pushed 2020-06-12

Audience · developerComplexity · 2/5DormantSetup · easy

TLDR

A Go logging package that adds automatic log file rotation, compression, and archiving on top of simple log.Info() / log.Error() style commands.

Mindmap

mindmap
  root((log))
    What it does
      Wraps Go logging
      Auto log rotation
      Compresses old logs
    Tech stack
      Go
      YAML config
    Use cases
      Production logging
      High-traffic services
      Disk usage control
    Audience
      Go developers
      Backend engineers
    Configuration
      YAML file
      Severity levels

Code map

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filefunction / class

What do people build with it?

USE CASE 1

Initialize the logger once at startup and call log.Info() or log.Error() throughout your app.

USE CASE 2

Automatically rotate and archive log files by day or size instead of writing custom rotation code.

USE CASE 3

Keep only a set number of backup logs (e.g. the last seven) to control disk usage.

USE CASE 4

Configure log destinations and severity levels in a single YAML file for a production service.

What is it built with?

GoYAML

How does it compare?

zouyonghe/log0verflowme/alarm-clock0verflowme/seclists
LanguageCSS
Last pushed2020-06-122022-10-032020-05-03
MaintenanceDormantDormantDormant
Setup difficultyeasyeasyeasy
Complexity2/52/51/5
Audiencedevelopervibe coderops devops

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 30min

Requires a YAML config file to set log destinations, rotation rules, and severity levels.

In plain English

This is a logging package for Go applications that makes it easier to handle logs in production environments. Instead of using Go's basic built-in logging tools, which lack important features like automatic log file rotation, this package bundles together all the logging capabilities that enterprise applications typically need. The package works by letting you configure where logs go (to a file, to your console, or both) and what information gets recorded (different severity levels like debug, info, warning, and error). You set it up once with a configuration file, then use simple commands like log.Info() or log.Error() throughout your code. When your log files get too large or too old, the system automatically compresses and archives them, keeping your disk usage under control and making it easy to find historical logs. A developer building a real production application would use this instead of Go's standard logging tools because it handles all the tedious operational stuff automatically. For example, if you're running a service that needs to log thousands of requests per day, this package will split your logs into separate files by day (or by size), archive old ones, and let you keep only the last seven backups. You configure all this behavior in a simple YAML file, so you don't need to write custom rotation code yourself. The README notes that this package was tested to handle enterprise-level performance demands, meaning it's fast enough for high-traffic systems. The package is based on an earlier project and streamlines its approach to be simpler to use, while keeping the same core functionality. You initialize it once at startup, point it at your configuration file, and then your entire application can log consistently without any additional setup.

Copy-paste prompts

Prompt 1
Show me how to initialize this Go logging package and configure it with a YAML file.
Prompt 2
Explain how to set up daily log rotation and keep only the last 7 backups with this package.
Prompt 3
Help me replace Go's standard log package with this one in an existing service.
Prompt 4
What severity levels does this logger support and how do I filter which ones get written?

Frequently asked questions

What is log?

A Go logging package that adds automatic log file rotation, compression, and archiving on top of simple log.Info() / log.Error() style commands.

Is log actively maintained?

Dormant — no commits in 2+ years (last push 2020-06-12).

How hard is log to set up?

Setup difficulty is rated easy, with roughly 30min to a first successful run.

Who is log for?

Mainly developer.

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