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Tags: Monitoring and observability
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49–72 of 196 · Most stars

Seelog is a native Go logging library that provides flexible asynchronous dispatching, filtering, and formatting.

DebugView++, collects, views, filters your application logs, and highlights information that is important to you!

  • outputdebugstring
  • filter
  • logfile
  • regular-expression

📈 Open source, privacy-first web analytics — a cookie-less Google Analytics alternative with built-in error tracking and performance monitoring. Self-host it or use our cloud. Get started for free!

FlexyPool adds metrics and failover strategies to a given Connection Pool, allowing it to resize on demand.

  • connection-pool
  • java
  • histogram
  • dbcp

Percona Monitoring and Management: an open source database monitoring, observability and management tool

kwatch runs inside your Kubernetes cluster, traces every failure to its root cause, and sends one message: what broke, why, who changed it and what to do next.

🔥 Error handling library with context, assertion, stack trace and source fragments

  • attributes
  • context
  • error
  • exception

Cross-platform building blocks for .NET applications. Provides service location and dependency resolution, logging, platform-neutral images, colours and geometry, and unit test and design mode detection.

  • nlog
  • logging
  • cross-platform
  • hacktoberfest

G3log is an asynchronous, "crash safe", logger that is easy to use with default logging sinks or you can add your own. G3log is made with plain C++14 (C++11 support up to release 1.3.2) with no external libraries (except gtest used for unit tests). G3log is made to be cross-platform, currently running on OSX, Windows and several Linux distros. See Readme below for details of usage.

A lightweight, high-performance, industrial-grade cross-language logging library (C++/Java/C#/Kotlin/TS/Python/Go), battle-tested in Honor of Kings.

  • cross-platform
  • high-performance
  • java
  • logging

jHiccup is a non-intrusive instrumentation tool that logs and records platform "hiccups" - including the JVM stalls that often happen when Java applications are executed and/or any OS or hardware platform noise that may cause the running application to not be continuously runnable.