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A Ruby structured logging is capable of handling a message, custom data or an exception easily and generates JSON or human readable logs.
tiny Erlang app to generate information on the Erlang VM
Honeypot Intelligence with Splunk
ScoutAPM Ruby Agent. Supports Rails, Sinatra, Grape, Rack, and many other frameworks
A generics based dependency injection application framework for Go, supporting aspect oriented programming based on interceptors
Nagios remote agent
Graph based visualization tool for re-frame event chains
Dreamento (DReam ENgenieering TOolbox): a Python-based software for dream engineering while monitoring/analyzing real-time EEG data.
A source generator that automatically migrates your logging calls to the LoggerMessage version
Tango is a command-line tool for analyzing access logs 💃
A generic interface to different metrics systems in Erlang.
Simple Magento 2 Prometheus Exporter.
NewRelic agent for Elixir
Library for collecting application metrics in .NET and exporting them to Prometheus
Monitor Meteor apps with Monti APM
FairPlayCombined is a platform designed to accelerate app development using .NET, Blazor, and more. It includes real-world templates like video sharing and dating apps, reducing costs and time-to-market. Perfect for developers, startups, and businesses, it empowers innovation and delivers value with pre-built tools and resources.
Jmeter autogenerater reports after test to Confluence, using grafana custom dushboards.
This project contains an addon for the Homematic CCU2 or a Raspberrymatic device which acts as an check_mk_agent.
Crystal library to help autogenerate Grafana dashboards
Core & Community developed monitoring integrations for Sematext monitoring agent
Sends log messages to the Logentries log management service
Tamper-evident audit log for Go: an append-only, hash-chained, optionally Ed25519-signed log/slog handler, with offline logx verify. Built on the standard library, zero third-party dependencies. Also a full slog toolkit (colored output, JSON, rotation, fan-out, CLI).
DLIA is an AI-powered Docker log monitoring agent that uses Large Language Models (LLMs) to intelligently analyze container logs, detect anomalies, and provide contextual insights over time.