A simple, remotely configurable monitoring service.
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Updated
Mar 29, 2026 - Go
A simple, remotely configurable monitoring service.
A curated list of awesome cloud computing resources, services, frameworks, and tools.
Status page for monitoring services
Munin in a Docker container.
Raspberry Pi (and Linux) simple remote monitoring tool with dashboard for multiple RPi devices. It works for any Linux device.
Run PowerShell scripts repeatedly in a high performance manner.
A simple logger for python, with color and time.
AI-powered tool that analyzes PRs using AI to provide observability recommendations, create dashboards, and manage alerts
Simple log monitoring service that uses ntfy for alerts.
This project provides a ready-to-use advanced monitoring platform for DevOps engineers and beginners. With just one command, you get Prometheus, Grafana, Loki, Alertmanager, Node Exporter
A lightweight and efficient Node.js library for real-time system monitoring. Track CPU, memory, disk usage, network I/O, and more with ease.
A ShineMonitor MQTT Reporter that publishes your Solar System information to an MQTT broker
Lightweight open-source deployment and monitoring agent for self-hosted or home-lab servers and devices such as Raspberry Pi, N100, or any Linux server. Future proof your deployments with automation and monitoring.
Alerting that earns your team’s attention. Eliminate false positives and reduce alert fatigue.
A web application for displaying automation test reports.
Enhance your SpringApplication's stability with a SaaS library by simply adding a single dependency—no need for additional infrastructure setup or complex code changes!
Agentic Network Monitoring: An autonomous multi-agent SOC system powered by fine-tuned local LLMs
یک محیط کامل و آماده برای مانیتوریگ و کنترل کامل وضعیت پایداری و اطلاعات دیگر سرور و زیر ساخت . Best Monitoring System With Grafana (for visualitions), Prometheus (For Monitoring), Node_Exporter (for system metrics)
Terraform Ohdear provider
This script automates cleaning up a specific folder in an S3 bucket, deleting all objects within it. It uses secure AWS credentials and is built on the Mage.ai platform. Additionally, the roadmap includes approach handling and logging for greater robustness and monitoring.
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