LibreNMS is an SNMP network monitoring system and IT infrastructure management suite. It serves as an automated network discovery tool and infrastructure dashboard, enabling the identification and monitoring of network hardware and operating systems.
librenms/librenms 的主要功能包括:Automatic Network Hardware Discovery, SNMP Management, Help Desk Ticketing Integrations, Infrastructure Health Dashboards, Infrastructure Management Suites, Multi-Vendor Hardware Integrations, Network Device Discovery, Network Discovery Tools。
librenms/librenms 的开源替代品包括: tianshiyeben/wgcloud — wgcloud is a comprehensive suite of monitoring and management tools designed for Linux servers, network devices,… asurateam/monitor — Monitor is a centralized infrastructure monitoring platform designed to collect, visualize, and analyze performance… weaveworks/flagger — Flagger is a Kubernetes operator designed to automate the lifecycle of application deployments through progressive… dotheevo/selfhosted-apps-docker — This project is a curated collection of deployment files and configurations for hosting a wide variety of open-source… borntoberoot/networkmanager — NETworkManager is a comprehensive suite of network administration tools designed for the deployment, monitoring, and… scanopy/scanopy — Scanopy is a self-hosted infrastructure inventory and network discovery tool. It identifies hosts, services, and…
wgcloud is a comprehensive suite of monitoring and management tools designed for Linux servers, network devices, containers, and middleware. It functions as a centralized dashboard for tracking real-time hardware metrics, auditing the health of Docker and Kubernetes environments, and maintaining an IT asset management system for physical and cloud infrastructure. The platform is distinguished by its integrated remote administration capabilities, featuring a web-based SSH client for executing bulk commands and managing servers directly from a browser. It further differentiates itself with AI-d
Monitor is a centralized infrastructure monitoring platform designed to collect, visualize, and analyze performance metrics across distributed server environments. It utilizes an agent-based architecture to gather both standard and custom performance data, which is then stored and processed to provide real-time insights into system health and resource utilization. The platform distinguishes itself through automated operational workflows, including dynamic service discovery that registers new agents without manual intervention and hierarchical alert escalation that routes notifications based o
Flagger is a Kubernetes operator designed to automate the lifecycle of application deployments through progressive delivery. It functions as a controller that monitors custom resource definitions to orchestrate complex release strategies, including canary, blue/green, and A/B testing. By continuously reconciling the desired cluster state with the actual environment, it ensures that deployments adhere to defined specifications while managing the underlying infrastructure required for traffic routing. The project distinguishes itself through a sophisticated metric-driven analysis loop that eval
This project is a curated collection of deployment files and configurations for hosting a wide variety of open-source services on a home server. It primarily utilizes Docker and Docker Compose to automate the orchestration, lifecycle management, and deployment of containerized applications. The repository provides a comprehensive suite for self-hosted infrastructure, covering network management tools, media streaming, and home automation. It includes specialized configurations for securing internal services via reverse proxies, WireGuard VPN tunnels, and automated SSL/TLS certificate manageme