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.
- aspectj
- monitoring
- java
- performance
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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.
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
DFIRTrack - The Incident Response Tracking Application
(UNMAINTAINED) inspectIT is the leading Open Source APM (Application Performance Management) tool for analyzing your Java (EE) applications.
Log exception details and custom properties that are not output in Exception.ToString().
Self-hosted monitoring for Docker, Kubernetes and uptime. Single Go binary, no agent config, live alerts. Drop a container, your stack is monitored.
A flexible logging library for use in Ruby programs based on the design of Java's log4j library.
Logs and metrics are one! Professional logging, metrics and analytics for your apps.
Reckless logging. Low-latency, high-throughput, asynchronous logging library for C++.
Get a detailed, real-time view of your PostgreSQL database and system metrics
Exception tracking and logging from Ruby to Rollbar
Exporter for Consul metrics
Utilities for latency measurement and reporting
Powerful and flexible library for logging on files, console, memory, email, rest, eventlog, syslog, slack, telegram, redis, logstash, elasticsearch, influxdb, graylog, Sentry, Twilio, ide debug messages and throw events for Delphi/Firemonkey/freepascal/.NET (Windows/Linux/OSX/IOS/Android).
AWStats Log Analyzer project (official sources)
Rails Semantic Logger replaces the Rails default logger with Semantic Logger, so that Rails, your application code, and many common gems all log through structured logging instead of plain text.
Pretty logger for Electron apps
MoniGo is a performance monitoring library for Go apps, offering real-time insights into service-level and function-level metrics. With an intuitive UI, it enables developers to track and optimize performance. Get your Go app's dashboard up in just 10 seconds!
pganalyze statistics collector for gathering PostgreSQL metrics and log data
Server that accepts metrics via the Graphite protocol and exports them as Prometheus metrics
Sentry event forwarding and ingestion service.