OneUptime is a complete open-source observability platform designed for DevOps and SRE teams that need to monitor services, manage incidents, and communicate status to customers—all in one integrated system. It eliminates tool sprawl by combining monitoring, logging, APM, status pages, and on-call scheduling into a single platform with AI-powered automation.
Built with TypeScript and deployed via Helm, Docker Compose, or cloud, OneUptime integrates with Prometheus, OpenTelemetry, Slack, Jira, and GitHub. It supports both self-hosted and cloud deployments, making it ideal for teams seeking full control over their observability stack without vendor lock-in.
What You Get
- Uptime Monitoring - Monitor websites, APIs, servers, and databases from 100+ global locations with 10-second checks, SSL expiry alerts, and synthetic user flow simulations.
- Status Pages - Create custom-branded, public-facing status pages with real-time updates, 90-day uptime history, and subscriber notifications via email, SMS, or RSS.
- Incident Management - Declare incidents from Slack/Teams, auto-assign responders by service, generate automatic timelines, and use built-in postmortem templates to reduce MTTR.
- On-Call Scheduling - Configure rotating on-call schedules with phone alerts, 5-minute escalation policies, and instant overrides for vacations or emergencies.
- Logs Management - Ingest and search terabytes of logs from Docker, Kubernetes, and apps in milliseconds with real-time tailing and error pattern alerts.
- Application Performance Monitoring (APM) - Track traces, response times, throughput, and error rates with end-to-end distributed tracing and auto-discovered service dependencies.
- Error Tracking - Detect and diagnose exceptions with stack traces, user context, and automatic linking to related logs and traces.
- AI Copilot - Automatically detect anomalies across logs, metrics, and traces; generate code fixes via pull requests; auto-instrument services; and patch vulnerable dependencies.
- Workflows & Automation - Integrate with 5000+ tools including Slack, Jira, GitHub, and more to automate alert routing, incident updates, and remediation tasks.
- Dashboards - Visualize infrastructure metrics, custom business KPIs, and performance trends in customizable, real-time dashboards.
- Kubernetes Monitoring - Monitor K8s clusters with native integration for pods, nodes, and resource utilization metrics.
- CPU & Memory Profiling - Capture and analyze runtime performance profiles to identify memory leaks and CPU bottlenecks.
- Maintenance Mode - Plan and communicate scheduled downtime with automated status updates and subscriber notifications.
Common Use Cases
- Running a SaaS product with global users - A startup uses OneUptime to monitor API endpoints from 100+ locations, notify customers via branded status pages during outages, and auto-inform support teams via Slack.
- Managing a high-traffic e-commerce platform - An engineering team uses APM and traces to pinpoint slow database queries during peak sales, while AI Copilot auto-generates performance optimizations.
- Operating a regulated fintech infrastructure - A compliance team deploys OneUptime Enterprise to maintain data residency, audit incident responses, and ensure 99.99% alert delivery with on-call escalation policies.
- Reducing operational toil for a DevOps team - Engineers replace PagerDuty, StatusPage.io, and Loggly with OneUptime’s unified platform, cutting tool costs by 70% and reducing alert fatigue with AI-powered noise reduction.
Under The Hood
Architecture
- Monolithic structure with tightly coupled frontend and backend components, violating clear separation of concerns
- Absence of dependency injection or inversion of control, leading to hardcoded service dependencies
- Configuration scattered across environment files with no centralized management or validation
- Direct database and external service interactions without repository patterns or abstraction layers
- No domain-driven design, CQRS, or event-driven patterns; logic flows through procedural handlers
Tech Stack
- Node.js backend with TypeScript and TypeORM, using custom routing infrastructure
- Multi-container Docker orchestration with PostgreSQL, Redis, and ClickHouse
- React frontend with server-side rendering via Handlebars and TypeScript
- GPU-accelerated LLM service via NVIDIA Docker and host network mode
- Production-grade Nginx ingress with TLS, multi-environment configs, and automated build pipelines
Code Quality
- Extensive test coverage across unit, integration, and E2E layers with behavior-focused testing
- Strong type safety enforced through comprehensive TypeScript interfaces and strict annotations
- Consistent naming and modular organization across API clients, utilities, and UI components
- Robust error handling and dependency mocking in tests, though custom error classes are not utilized
- Linting and type-checking practices are implicitly supported but lack explicit tooling configuration
What Makes It Unique
- Native mobile PWA integration with unified web and mobile experiences through shared codebase
- Dynamic, context-aware empty state system that adapts visuals across alerts, monitors, and incidents
- Advanced time-range picker with built-in histogram visualization for forensic log analysis
- Server-rendered authentication and dashboards with embedded environment and theme detection
- Deeply integrated dark/light mode theming with system preference detection and platform-specific meta tags