Tired of juggling multiple logging libraries across projects? Frustrated with inconsistent error and metadata logging? LogLayer, an open-source solution, streamlines your logging process and enhances developer experience.

What is LogLayer?

LogLayer acts as a unified logging layer, compatible with popular logging libraries (Pino, Winston, Bunyan) and cloud providers (AWS, Google Cloud, DataDog). It offers a consistent, intuitive API for logging messages, metadata, and errors, directing your logs to your chosen destination.

Here's a quick example:

import { LogLayer } from 'loglayer'
import { PinoTransport } from '@loglayer/transport-pino'
import pino from 'pino'

// Configure LogLayer with Pino
const log = new LogLayer({
  transport: new PinoTransport({ logger: pino() })
})

// Log with metadata
log.withMetadata({ userId: '123', action: 'login' })
   .info('User logged in successfully')

// Contextual logging (persists across calls)
log.withContext({ requestId: '123' })
log.info('Processing request') // requestId included

try {
  // ... potential error-throwing code
} catch (error) {
  log.withError(error)
     .withMetadata({ userId: '123' })
     .error('User request processing failed')
}

Key Advantages of LogLayer:

• Seamless Library Switching: Easily switch logging libraries without code refactoring. Imagine needing to swap from Pino to Winston mid-project – LogLayer makes this painless.

• Consistent API: A unified API eliminates the need to remember different method names and parameter orders across libraries. Compare:

<code>// LogLayer's consistent approach:
log.withMetadata({ some: 'data' }).info('my message')

// Inconsistent APIs without LogLayer:
winston.info('my message', { some: 'data' })     // winston
bunyan.info({ some: 'data' }, 'my message')      // bunyan</code>

• Multi-Transport Support: Send logs to multiple destinations (DataDog and your logger, for instance) simultaneously:

import { LogLayer } from 'loglayer'
import { datadogLogs } from '@datadog/browser-logs'
import { PinoTransport } from "@loglayer/transport-pino"
import { DatadogBrowserLogsTransport } from "@loglayer/transport-datadog-browser-logs"

// Datadog initialization (replace placeholders)
datadogLogs.init({
  clientToken: '<client_token>',
  site: '<datadog_site>',
  forwardErrorsToLogs: true,
  sampleRate: 100
})

const log = new LogLayer({
  transport: [
    new PinoTransport({ logger: pino() }),
    new DatadogBrowserLogsTransport({ logger: datadogLogs })
  ]
})

// Logs sent to both Pino and DataDog
log.info('User logged in successfully')
</datadog_site></client_token>

• Simplified Error Handling: Standardized error handling across all libraries.

• Extensible Plugin System: Add plugins for features like redacting sensitive data.

• Effortless Testing: Built-in mocks simplify testing.

Getting Started:

Installation is simple:

npm install loglayer

Basic usage:

import { LogLayer, ConsoleTransport } from 'loglayer'

const log = new LogLayer({ transport: new ConsoleTransport({ logger: console }) })

log.info('Hello world!')

Learn More:

• Official Documentation
• GitHub Repository
• NPM Package

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