Instant Kubernetes-Native Application Observability
- golang
- kubernetes
- ebpf
- vega
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Instant Kubernetes-Native Application Observability
NLog - Flexible and Structured Logging for various .NET Platforms
Speedtest Tracker is a self-hosted application that monitors the performance and uptime of your internet connection.
Convenient & secure logging during development & release in Swift 4 & 5
Sysmon configuration file template with default high-quality event tracing
Simple, powerful, and fast logging for Python.
Colored logcat script which only shows log entries for a specific application package.
An application observability facade for the most popular observability tools. Think SLF4J, but for observability.
The open source error catcher that's Airbrake API compliant :ukraine:
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Ultra-low-latency asynchronous C++17 logging and metrics library for performance-critical applications
JavaMelody : monitoring of JavaEE applications
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Lightweight analytics abstraction layer for tracking page views, custom events, & identifying visitors
Portable, simple and extensible C++ logging library
A simple, standalone, and lightweight tool that can do health/status checking, written in Go.
Prometheus instrumentation library for JVM applications
App Metrics is an open-source and cross-platform .NET library used to record and report metrics within an application.
P6Spy is a framework that enables database data to be seamlessly intercepted and logged with no code changes to the application.
An extensible Java library for HTTP request and response logging
HTTP checks & tests (private & public) monitoring - check the status of your URL
C implementation of statsd
log4cplus is a simple to use C++ logging API providing thread-safe, flexible, and arbitrarily granular control over log management and configuration. It is modelled after the Java log4j API.
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave