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Tag: Monitoring and observability
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1–24 of 27 · Most stars

:tropical_fish: Beats - Lightweight shippers for Elasticsearch & Logstash

  • metricbeat
  • filebeat
  • packetbeat
  • heartbeat

Spug is a lightweight agent-free automatic operation and maintenance platform designed for small and medium-sized enterprises. It integrates host management, host batch execution, host online terminal, file management, application release and deployment, pipelines, online task planning, configuration center, monitoring, alarm and so on.

:trollface: Self-hosted, lightweight server and website monitoring and O&M tool

:ledger: Minimal lightweight logging for JavaScript, adding reliable log level methods to wrap any available console.log methods

  • javascript
  • logging
  • lightweight
  • loglevel

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

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

A lightweight and customizable file logger implementation for the Microsoft.Extensions.Logging framework.

A fast & lightweight approach to logging in R based on the widely-emulated Apache Log4j project.

A microservice (sidecar) that helps instantly determine the status of your PostgreSQL hosts including whether they are alive, which one is the master, which ones are replicas, and how far each replica is lagging behind the master.

The complete toolkit for building AI agents in JavaScript. Lightweight core, React & Terminal UIs, autonomous runtime, tools, skills, memory, RAG and observability. Plug-and-play from chat UI to full agents.

Lightweight AI agent runtime for Go. Define multi-agent crews in YAML, run them with goroutines and channels, and let the runtime handle scheduling, parallelism, retries, and observability — without leaving the Go ecosystem.