mynth-logger v1.1.4

Mynth Logger

Mynth Logger is a configurable logging utility designed with a dual-purpose approach to log management, ensuring that developers have access to easily readable, colorful logs during the development process, while also supporting structured, JSON-formatted logs in production environments. The core aim of Mynth Logger is to provide a seamless logging experience across different stages of the application lifecycle, enhancing both development efficiency and operational monitoring.

Key Features

Dual-Environment Support: Mynth Logger distinguishes between development and production environments, optimizing log output for each. During development, logs are presented in a human-friendly, colorful format for ease of reading. In production, logs are structured as JSON to support parsing and analysis by log forwarders and processors like Datadog.

Integration Ease: Implementing Mynth Logger into services is straightforward, allowing developers to continue using console.log statements without worrying about environment-specific log formatting.

Improved Observability: With JSON-formatted logs in production, Mynth Logger facilitates better log management practices, making it easier to forward logs to platforms like Datadog for monitoring, analysis, and alerting.

Getting Started

Add Mynth Logger to your project:

npm install mynth-logger

For local development, install pino-pretty to enable colorful log output:

npm install --save-dev pino-pretty

Usage

Import and set up logging in your entrypoint script:

import { setupLogging } from "mynth-logger";

// Call this function early in your application startup
setupLogging();

Use console.log as usual. The Mynth Logger takes care of formatting the logs appropriately based on the environment:

console.log('This is a log message');

In development, you’ll see colorful logs in the terminal.

In production, logs will be output in JSON format to stdout.

Configuration

No additional configuration is required to start using Mynth Logger. However, you can customize the behavior of the logging by passing options to setupLogging() as needed.