A very low overhead, super fast JSON logger for Node.js and JavaScript runtimes.
Pino is a very low overhead, super fast JSON logger for Node.js and JavaScript runtimes like Bare and Pear. It solves the problem of logging performance bottlenecks in production applications by minimizing resource usage and outputting structured JSON logs. Its design ensures that logging does not throttle application throughput.
Node.js developers building high-performance server-side applications, microservices, or APIs where logging speed and structured data are critical. It's also suitable for teams using modern JavaScript runtimes like Bare or Pear.
Developers choose Pino for its exceptional performance, often being over 5x faster than alternatives, and its focus on structured JSON logging which integrates seamlessly with log aggregation tools. Its asynchronous design and transport system prevent logging from blocking the event loop.
🌲 super fast, all natural json logger
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Benchmarks show Pino is over 5x faster than alternatives, minimizing logging overhead and maintaining high application throughput, as documented in its performance tests.
Default JSON output makes logs easy to parse and integrate with aggregation systems like Elasticsearch, supporting scalable monitoring and analysis.
Asynchronous logging and transport recommendations in worker threads prevent blocking the event loop, ensuring application responsiveness under load.
Built-in integrations for Fastify, Express, Koa, and other major Node.js web frameworks simplify adoption without custom middleware.
Recommends running log processors in separate worker threads, adding setup and maintenance overhead compared to in-process logging solutions, which can be a hurdle for small teams.
Logs are output as raw JSON, requiring the pino-pretty module for readable formatting during development, introducing an extra dependency and configuration step.
Focuses on core logging, so advanced features like log rotation or direct shipping to databases require additional transport modules, leading to ecosystem fragmentation.