Projects sharing features with Gatus

Nezha is a multi-server infrastructure monitor and website uptime monitor that provides a centralized dashboard for tracking real-time resource utilization and system health. It functions as a protocol server and alerting engine, utilizing remote agents to collect telemetry data across multiple operating systems. The system distinguishes itself with a web-based remote administration interface, allowing users to execute maintenance commands and manage scheduled tasks on remote hosts via a browser-based terminal. It also integrates a Model Context Protocol server to provide a secure HTTP entry

Uptime Kuma is a self-hosted monitoring platform designed to track the availability and performance of network services and websites. It functions as a centralized dashboard that executes asynchronous health checks on a scheduled interval, providing real-time visibility into infrastructure health and service uptime. The platform distinguishes itself through a dedicated notification engine that dispatches alerts across multiple third-party messaging services, alongside a public status page generator that allows users to communicate service health and historical metrics via custom domains. Its

Uptrace is an OpenTelemetry-based observability platform designed to collect, store, and analyze distributed traces, metrics, and logs. It functions as a centralized logging backend, a distributed tracing system, and a metrics engine to monitor application performance and system health. The platform is distinguished by AI-powered operational capabilities, allowing users to query telemetry data and manage monitoring dashboards using natural language. It specifically includes specialized monitoring for generative AI pipelines, tracking token usage and response quality for LLM interactions and r

Flux is a Kubernetes GitOps delivery tool used to automate application deployments by synchronizing cluster state with configurations stored in Git, OCI, or Helm repositories. It functions as a set of controllers that monitor desired state in external sources and continuously reconcile the live cluster to match those definitions. The system distinguishes itself through a multi-cluster management plane that coordinates application delivery across fleets of remote clusters from a central hub. It provides a dedicated mechanism for automated image updates, which scans container registries for new

Coroot is an observability platform and Kubernetes performance monitor that utilizes eBPF to automatically collect metrics, logs, and traces without requiring manual code instrumentation. It functions as an OpenTelemetry trace analyzer and an LLM observability gateway, exposing system health data to large language models through the Model Context Protocol. The platform differentiates itself by combining automated root cause analysis and AI-driven diagnostics to investigate performance regressions. It also includes a cloud cost monitoring tool that attributes infrastructure spending to specifi

Scrutiny is a distributed hardware monitoring system and predictive drive failure analyzer. It provides a centralized management platform and web-based dashboard for tracking hard drive health and S.M.A.R.T. metrics across multiple remote servers. The system functions as a S.M.A.R.T. alerting gateway and storage health trend visualizer. It estimates hardware risk by comparing drive attributes against real-world failure thresholds and records historical data to identify gradual degradation patterns that may not trigger immediate alerts. Capabilities include distributed data collection via rem

Prometheus is a comprehensive monitoring and alerting platform designed to track infrastructure health and application performance. It functions as a time series database that ingests, indexes, and queries high-frequency numerical data points. By utilizing a pull-based model, the system periodically collects multi-dimensional metrics from monitored targets, storing them in an optimized block storage format that supports high-throughput ingestion and efficient historical analysis. The platform distinguishes itself through a specialized query engine that enables real-time analysis of performanc

cAdvisor is a container resource monitoring agent and performance analyzer that collects and exports CPU, memory, network, and disk usage statistics from running containers. It functions as a telemetry tool for discovering containers across various runtimes and serves as a Prometheus-compatible metrics exporter. The agent distinguishes itself by analyzing Linux control groups to provide visibility into resource consumption and limits. It utilizes kernel perf events and NUMA statistics for low-level hardware performance tracking and diagnostics, and it can identify out-of-memory kill events th

Cat is a distributed application performance monitoring tool and tracing framework designed to track transactions, latency, and health across distributed services. It functions as a Kubernetes-native monitoring stack that utilizes multi-language monitoring clients and a real-time alerting system to maintain system visibility. The system provides monitoring clients for Java, Go, Python, Node.js, and C++ to collect performance metrics and trace data. It distinguishes itself by sampling request flows to record call chains and identify bottlenecks, while using a monitoring engine to trigger immed

This project is a service mesh platform designed to manage, secure, and observe service-to-service communication within Kubernetes clusters. It functions as a control plane that orchestrates transparent sidecar proxies, which intercept and manage network traffic to provide reliable connectivity for microservices. By automating the injection of these proxies, the platform ensures that infrastructure-level policies are applied consistently across all workloads without requiring manual configuration changes. The platform distinguishes itself through its focus on zero-trust security and cross-clu

Statping is a self-hosted uptime monitoring system and status page tool. It tracks application availability by sending periodic HTTP requests to target endpoints and records the resulting health status to determine if services are online. The system features a public-facing status dashboard that renders real-time availability and operational health for end users. It utilizes a plugin-based notification system to dispatch multi-channel alerts via email, webhooks, or custom providers when services experience downtime. The project includes a Prometheus-compatible metrics exporter for external p

Checkmate is an open-source, self-hosted tool designed to track and monitor server hardware, uptime, response times, and incidents in real-time with beautiful visualizations. Don't be shy, join here: https://discord.com/invite/NAb6H3UTjK :)

Cachet is a self-hosted, open-source status page system designed to communicate service uptime, incident history, and infrastructure performance to end users. It provides a centralized dashboard for managing the operational lifecycle of system components, tracking service disruptions, and scheduling maintenance windows. The platform distinguishes itself through a comprehensive RESTful API that enables programmatic status page management and automated incident reporting. It supports deep integration with external monitoring tools, allowing for the synchronization of performance metrics and the

Upptime is a monitoring system that uses GitHub Actions to check endpoint availability and track response times. It functions as an HTTP availability checker and a static status page generator, converting uptime data into a branded website hosted on GitHub Pages. The project integrates a GitHub Issues incident manager to automatically create and close tracking tickets for service outages and recovery. It provides a JSON status badge provider to expose uptime percentages and response times for use in external visual badges. The system covers website uptime monitoring and service performance t

Healthchecks is a heartbeat monitoring service and cron job monitoring tool designed to track the execution and success of scheduled tasks and systemd timers. It functions as a dead man switch, alerting users when expected periodic signals from remote processes fail to arrive. The system accepts health signals via HTTP and SMTP, allowing it to track infrastructure heartbeats from sources ranging from CI/CD workflows to network routers. It distinguishes itself by supporting the capture of diagnostic data, including exit codes and execution logs, and by calculating the duration between start an

Redis is a high-performance in-memory key-value store that functions as a distributed cache, message broker, and NoSQL database. It provides sub-millisecond read and write access to data stored in RAM and can operate as a vector database for indexing high-dimensional embeddings. The system supports a wide range of data storage and synchronization primitives, including the management of strings, hashes, lists, sets, and JSON documents. It enables real-time data operations through atomic transactions, hybrid persistence using snapshots and append-only logs, and high-availability configurations

Beszel is a self-hosted server monitoring platform designed to track real-time performance metrics across multiple host systems and containerized environments. It functions as a centralized dashboard that aggregates data on processor, memory, disk, and network usage, providing visibility into both host-level infrastructure and individual container workloads. The system utilizes lightweight agents to collect performance data, which is then streamed to a central hub and stored in a local relational database. It distinguishes itself through a real-time analytics engine that uses persistent bidir

TacticalRMM is a remote monitoring and management platform designed for overseeing endpoints and automating IT administration. It functions as an endpoint management tool and IT automation framework, providing a centralized dashboard for executing scripts, monitoring system health, and managing remote devices across multiple tenants. The platform distinguishes itself through a comprehensive remote administration suite that includes real-time shell access, remote file management, and registry editing. It integrates with third-party remote desktop software and provides a hierarchical policy inh

Glances is a cross-platform system monitoring tool designed to track real-time resource usage and hardware health metrics across diverse computing environments. It functions as a command-line utility that provides a unified view of system performance, identifying bottlenecks and maintaining infrastructure stability through a consistent abstraction layer that translates kernel calls into actionable data. The project distinguishes itself through its distributed capabilities, offering a web-based interface that enables remote access to live performance metrics from any device without requiring d

VictoriaMetrics is a high-performance, scalable time series database and observability platform designed for long-term storage and analysis of metric, log, and trace data. It functions as a unified backend for monitoring ecosystems, offering full compatibility with industry-standard protocols and query languages. The system is built to handle massive data volumes through a distributed architecture that supports horizontal scaling and efficient data lifecycle management. The platform distinguishes itself through a storage engine that utilizes consistent hashing for data sharding and log-struct

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

Quarkus is a Kubernetes-native Java framework designed for building high-performance, memory-efficient applications. It utilizes ahead-of-time native compilation to transform Java code into standalone, optimized binaries that eliminate the need for a virtual machine, enabling rapid startup and reduced memory consumption. By performing code augmentation during the build phase, it shifts heavy processing tasks away from runtime, ensuring that applications are optimized for cloud-native environments. The framework distinguishes itself through a unified approach to reactive and imperative program

Pangolin is a zero-trust remote access platform designed to provide secure, identity-aware connectivity to private network resources. It functions as a cloud-native network controller that orchestrates encrypted tunnels, traffic routing, and access policies across distributed environments. By leveraging WireGuard for secure data transport, the platform enables authenticated access to internal web applications, terminal sessions, and remote desktops without exposing services to the public internet. The platform distinguishes itself through a declarative infrastructure model that synchronizes n

This project is an open-source, privacy-focused web analytics platform designed for high-throughput data ingestion and multi-tenant data management. It provides a cookie-less tracking engine that captures visitor interactions using ephemeral request metadata, ensuring comprehensive traffic visibility while maintaining strict privacy standards. The architecture utilizes an event-driven ingestion pipeline and aggregated metric storage to decouple data collection from processing, enabling efficient long-term retrieval and responsive dashboard performance. What distinguishes this platform is its

Claude Code Templates is a comprehensive framework for orchestrating specialized AI agents and automating development workflows within local environments. It provides a structured system for defining, configuring, and deploying AI personas that handle specific technical tasks, ranging from backend architecture and frontend implementation to security auditing and infrastructure management. The project distinguishes itself through a configuration-driven approach that allows teams to standardize development environments and share reusable agent definitions across projects. It includes a robust C

Homarr is a self-hosted application dashboard that provides a centralized homepage for organizing and launching services. It functions as an integrated widget portal, a service status monitor, and a unified web search interface. The project distinguishes itself through a customizable drag-and-drop grid for service organization and a dedicated secrets manager for storing and protecting API keys and passwords used by integrated services. It incorporates a system for displaying real-time information and controlling external functions via third-party service widgets. The platform covers broader

Monitoror is a unified monitoring wallboard and system status dashboard designed to aggregate real-time health and status data from multiple servers, services, and dependencies. It functions as an uptime monitoring aggregator and a centralized interface for visualizing the state of various infrastructure components. The project distinguishes itself through a customizable grid-based layout system that organizes monitoring tiles using a coordinate system. It supports multi-endpoint provider mapping, allowing a single service type to be linked to multiple distinct server instances to track separ