pino
Pino - extremely fast and low overhead Node.js logger with JSON-native structured logging. 10x faster than Winston. Optimized for high-performance APIs and production environments. USE WHEN: user mentions "pino", "fast logging", "high performance logging", "fastify logging", asks about "fastest node.js logger", "JSON structured logging", "low overhead logging" DO NOT USE FOR: Winston logging - use `winston` instead, Python logging - use `python-logging` instead, Complex transport requirements - use `winston` instead
What this skill does
# Pino Logger - Quick Reference
## When to Use This Skill
- Structured logging in Node.js applications
- High-performance logging
- Integration with log aggregation systems
> **Deep Knowledge**: Use `mcp__documentation__fetch_docs` with technology: `pino` for comprehensive documentation.
## Basic Setup
```bash
npm install pino pino-pretty
```
## Essential Patterns
### Logger Base
```typescript
import pino from 'pino';
const logger = pino({
level: process.env.LOG_LEVEL || 'info',
transport: {
target: 'pino-pretty',
options: { colorize: true }
}
});
logger.info('Server started');
logger.error({ err }, 'Failed to connect');
```
### Child Logger
```typescript
const childLogger = logger.child({
module: 'auth',
requestId: req.id
});
childLogger.info({ userId }, 'User authenticated');
```
### Express Integration
```typescript
import pinoHttp from 'pino-http';
app.use(pinoHttp({ logger }));
```
### Fastify Integration
```typescript
import Fastify from 'fastify';
const fastify = Fastify({
logger: {
level: 'info',
transport: {
target: 'pino-pretty'
}
}
});
```
## Production Configuration
```typescript
const logger = pino({
level: 'info',
formatters: {
level: (label) => ({ level: label }),
},
timestamp: pino.stdTimeFunctions.isoTime,
base: {
pid: process.pid,
hostname: os.hostname(),
},
});
```
## When NOT to Use This Skill
- **Complex multi-transport requirements**: Winston offers more flexible transport system
- **Custom log formatting beyond JSON**: Winston has more formatting options
- **Development-only logging**: Built-in console is simpler for quick debugging
- **Python/Java projects**: Use language-specific logging frameworks
- **Legacy apps expecting text logs**: Pino is JSON-first, requires parsing tools
## Anti-Patterns
| Anti-Pattern | Why It's Bad | Solution |
|--------------|--------------|----------|
| Using pino-pretty in production | 2-3x performance penalty | Only use in development, raw JSON in prod |
| Logging large objects | Serialization overhead | Log only necessary fields |
| Synchronous logging | Defeats Pino's async advantage | Use default async mode, avoid `pino.final()` |
| Nested child loggers without cleanup | Memory leak over time | Reuse child loggers or clear references |
| Logging in hot paths without level check | Still has minimal overhead | Use `if (logger.isLevelEnabled('debug'))` for extreme cases |
| Mixing multiple logger instances | Inconsistent configuration | Create one base logger, use child loggers |
## Quick Troubleshooting
| Issue | Cause | Solution |
|-------|-------|----------|
| Unreadable JSON in console | No pretty-printer configured | Add `pino-pretty` transport for development |
| Performance slower than expected | pino-pretty enabled in production | Remove pretty-printer, use raw JSON |
| Missing logs | Level too high | Check `level` configuration matches environment |
| Context not included | Not using child logger | Use `logger.child({ context })` for request scoping |
| Logs not flushing on exit | Async logging buffer | Use `pino.final()` or flush on SIGTERM |
| Extra fields not appearing | Incorrect syntax | Use object as first param: `logger.info({ field }, 'msg')` |
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