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uber-go/zap

24,473GoAudience · developerComplexity · 2/5ActiveLicenseSetup · easy

TLDR

Fast, structured logging library for Go that records events as key-value pairs instead of text strings, making logs searchable and reducing performance overhead in high-traffic applications.

Mindmap

mindmap
  root((repo))
    What it does
      Structured logging
      Key-value pairs
      Machine-readable
    Why it matters
      High performance
      Low overhead
      Scales well
    APIs
      Typed Logger
      SugaredLogger
    Use cases
      High-traffic services
      Error tracking
      Performance monitoring
    Tech stack
      Go

Things people build with this

USE CASE 1

Log errors and warnings in a Go microservice without slowing down request handling.

USE CASE 2

Search and filter logs by specific fields (like user ID or request duration) in a log management tool.

USE CASE 3

Track performance metrics and debug issues in high-traffic applications by analyzing structured log entries.

Tech stack

Go

Getting it running

Difficulty · easy Time to first run · 5min
Use freely for any purpose, including commercial use, as long as you keep the copyright notice.

In plain English

Zap is a logging library for Go applications, created by Uber. Logging means recording events and messages as your software runs, things like errors, warnings, and informational messages, so you can understand what happened when something goes wrong. Zap's main differentiator is speed. Traditional logging often involves string formatting and memory allocation for every log message, which adds up in high-traffic applications. Zap avoids most of that overhead by writing structured log entries, key-value pairs rather than free-form text strings, without reflection (a slow technique many languages use to inspect data at runtime). This makes it several times faster than most comparable Go logging libraries. Structured logging means each log entry has machine-readable fields rather than being a single string. For example, instead of writing "failed to fetch URL: example.com after 3 attempts", you log the URL, attempt count, and wait time as separate named fields. This makes log entries much easier to search and analyze later with log management tools. Zap offers two APIs: a faster, strictly typed Logger for performance-critical code paths, and a slightly more convenient SugaredLogger that accepts loosely typed values at a small speed cost. You would use Zap in any Go service where logging volume is high and performance matters. The tech stack is Go.

Copy-paste prompts

Prompt 1
Show me how to set up Zap logging in a Go HTTP server and log request errors with structured fields.
Prompt 2
How do I use Zap's SugaredLogger to quickly add logging to an existing Go application?
Prompt 3
Compare Zap's Logger and SugaredLogger APIs, when should I use each one?
Prompt 4
Help me configure Zap to output JSON logs that I can parse with a log aggregation tool.
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Generated 2026-05-18 · Model: sonnet-4-6 · Verify against the repo before relying on details.