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Tags: Monitoring and observability
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217–240 of 671 · Most stars

🚨 Design workflows of slog handlers: pipeline, middleware, fanout, routing, failover, load balancing...

  • go
  • golang
  • slog
  • handler

A Go middleware that stores various information about your web application (response time, status code count, etc.)

gulp plugin to send messages based on Vinyl Files or Errors to Mac OS X, Linux or Windows using the node-notifier module. Fallbacks to Growl or simply logging

🔐 An SSL library for configuring http client or server. Rich with features such as hot reloading ssl and trusting additional certificates during runtime, combining multiple keystores, loading pem files and os/jdk certificates, logging certificate information during ssl handshake, bypassing ssl configuration from other libraries and more

Cloudlog is a web-based amateur radio logging application built with PHP and MySQL. It supports a wide range of station logging activities, from HF to microwave, and integrates with companion tools for CAT control and automation.

  • cloudlog
  • ham-radio
  • amateur-radio
  • php

Automon combines the power of AOP (AspectJ) with monitoring or logging tools you already use to declaratively trace and monitor your Java code, the JDK, and 3rd party libraries.

A library built to provide support for defining service health for golang services. It allows you to register async health checks for your dependencies and the service itself, provides a health endpoint that exposes their status, and health metrics.

Translated📑 Lightweight, configurable, extensible logging library written in Go. Support multi level, multi outputs and built-in multi file logger, buffers, clean, rotate-file handling. Easy to use. Also includes compression among its enhanced features.

  • logging
  • go-logger
  • monolog
  • file-logging

The fastest logging library in the world. Built from scratch in Scala and programmatically configurable.

Node.js module to help you understand how your tool is being used by anonymously reporting usage metrics to Google Analytics