CheckCle provides a complete uptime monitoring and infrastructure observability platform that deploys with a single Docker container and stores all data in embedded SQLite via PocketBase. The Go backend runs three microservices — a service operation engine handling HTTP, HTTPS, DNS, Ping, and TCP checks at configurable intervals, a distributed regional check agent for multi-location network testing, and a server monitoring agent collecting CPU, RAM, disk usage, and network metrics via gRPC. The React frontend built with Vite, TypeScript, Tailwind CSS, and shadcn-ui subscribes to PocketBase WebSocket endpoints for real-time dashboard updates without polling. SSL and domain monitoring tracks certificate issuers, expiration dates, days remaining, and validation status. The incident management system records UP, DOWN, WARNING, and PAUSE states with full history, while scheduled maintenance windows prevent false alerts during planned downtime. Public status pages provide external stakeholders with live service health information. Health heatmaps visualize uptime performance and outage patterns over time. Notification channels include email, Telegram, Discord, and Slack, with multiple alert targets per monitored service. The one-click agent installation script supports Debian, Ubuntu, CentOS, Red Hat, Alpine, and Windows in beta. Docker deployment runs on port 8090 with a single persistent volume at /mnt/pb_data, requiring minimum 1 vCPU and 500MB RAM. On RepoCloud, deploy CheckCle on a dedicated VPS with root SSH access, persistent storage for your monitoring database, and complete control over agent endpoints and notification configurations, all under the MIT license.

Maintenant replaces three to five separate monitoring tools with a single Go binary that consolidates container discovery, endpoint monitoring, SSL tracking, resource metrics, and public status pages without requiring any external database. The embedded Vue 3 frontend serves on port 8080 immediately after deployment, auto-discovering Docker containers and Kubernetes pods through direct socket and API access without configuration. HTTP and TCP endpoint monitoring validates availability with configurable intervals, while TLS certificate tracking alerts before expiration across all monitored domains. Resource metrics collect CPU, RAM, network throughput, and disk usage per container with real-time Server-Sent Events streaming to the dashboard. Heartbeat and cron monitoring accepts pings from external scheduled jobs, triggering alerts on missed check-ins via webhook callbacks and Discord notifications. The built-in alert engine supports escalation rules and notification batching. Public status pages expose component health to end users without authentication, customizable per monitored service. Network security insights analyze exposed ports, container privilege levels, and host configuration to produce a posture score. Update intelligence scans OCI registries to detect available container image updates with digest comparison. The REST API with SSE broker enables automation, and the integrated MCP server provides tooling for AI assistant integration. SQLite in WAL mode stores all data with zero operational overhead. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

Trusted by Cal.com, WhiteBIT, and Documenso and backed by 8,800+ GitHub stars, OpenStatus delivers the open-source status page and uptime monitoring platform that replaces Atlassian Statuspage, Better Stack, and Instatus with a single self-hosted deployment. The monitoring engine runs Go-based probes across 28 global regions on three cloud providers checking HTTP, TCP, and DNS endpoints in parallel with configurable intervals and multi-region consensus to eliminate false-positive alerts. Status pages ship with custom domain support, password and email-domain access controls, maintenance windows, grouped monitor components, and subscriber notifications via email and RSS. Incident management provides structured status reports with investigating, identified, monitoring, and resolved timeline phases that publish automatically to affected status pages. The monitoring-as-code workflow supports YAML configuration synced through the CLI, a GitHub Actions integration for CI/CD pipelines, and a Terraform provider for infrastructure-as-code deployments. The typed ConnectRPC JSON-over-HTTP API exposes a published OpenAPI specification with a Node SDK for programmatic access, while an MCP server connects AI assistants like Claude, ChatGPT, and Cursor directly to workspace data. The tech stack combines Next.js with shadcn/ui for the dashboard, Hono for the API server, Drizzle ORM over Turso for application data, and Tinybird for analytics. Private monitoring locations deploy as a single 8.5MB Docker image behind firewalls to check internal services. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

CoreObs delivers a unified self-hosted dashboard that replaces the typical combination of Uptime Kuma, Homer, and separate monitoring tools with a single interface for managing your entire server infrastructure. The Next.js frontend with shadcn components provides a modern dark-themed UI displaying server hardware metrics collected by a lightweight Go agent that leverages Glances for hardware abstraction — streaming real-time per-core CPU load, RAM utilization, NVIDIA GPU statistics, disk usage, system uptime, and load averages via WebSocket connections. The application registry tracks all self-hosted services with configurable uptime monitoring, availability history charts, and instant notifications through Discord, Telegram, Pushover, and email when services go down or recover. Quick-access links provide one-click navigation to each application's management panel directly from the dashboard. The network visualization module built on React Flow enables creating visual topology maps of your infrastructure with drag-and-drop nodes representing servers, switches, and services connected by labeled edges. Server data can be organized with tags, copied between entries, and monitored with configurable pagination and compact view modes. Deploy via Docker Compose with three containers — the Next.js web interface, the Go monitoring agent, and PostgreSQL 17 for persistent storage. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.