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Zero Allocation JSON Logger for Go
A high-performance JSON logger for Go, designed to achieve zero memory allocation during logging for maximum speed and efficiency.
Go
Added on 2025年5月11日11,368
Stars591
ForksGo
LanguageProject Introduction
Summary
Zerolog is a structured, zero-allocation JSON logger built for Go. It provides a highly efficient way to log data in JSON format with minimal performance impact, making it ideal for performance-sensitive applications.
Problem Solved
Traditional logging libraries can introduce significant performance overhead and memory allocations, negatively impacting application speed and scalability under high load. Zerolog eliminates these issues through its zero-allocation design and optimized architecture.
Core Features
Zero Allocation
Achieves maximum performance by allocating no memory per log event, reducing GC pressure.
Structured Logging
Logs data in standardized JSON format, facilitating easy ingestion and analysis by log aggregation systems.
Fast Output
Highly optimized for speed, allowing for efficient logging even under heavy load and concurrency.
Contextual Logging
Allows adding context to log events throughout the application's call chain.
Tech Stack
Go (Golang)
使用场景
Zerolog is well-suited for any Go application where performance, low memory usage, and easily parseable, structured logs are important.
High-Performance Network Services
Details
Implement in high-throughput microservices and APIs to log requests, errors, and application state without introducing significant latency.
User Value
Maintain fast response times and handle more traffic due to reduced logging overhead.
Cloud-Native and Serverless Applications
Details
Utilize in cloud-native deployments (e.g., Kubernetes, serverless) where resource efficiency is key and logs are typically aggregated and analyzed centrally.
User Value
Reduce compute costs and improve visibility through efficient, structured logging integrated with cloud logging platforms.
Automated Tools and Background Jobs
Details
Integrate into CLI tools or background jobs to produce machine-readable output that can be easily parsed by scripts or other programs.
User Value
Enable simpler automation and data extraction from tool outputs.
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