OneUptime

OneUptime

open_source

OneUptime is an open-source observability platform with uptime monitoring, incident management, status pages, on-call alerting, APM, logs, traces, and AI-powered auto-fix. Self-host or use the cloud.

About

OneUptime is an open-source, self-hostable reliability and observability platform that replaces 10+ separate tools with one cohesive stack. It covers the full spectrum of site reliability engineering needs: uptime and synthetic monitoring with checks every 10 seconds from 100+ global locations, real-time status pages with custom branding and subscriber notifications, intelligent on-call scheduling with smart routing and escalations, and end-to-end distributed tracing, logs, metrics, and exception tracking for deep application observability. Beyond monitoring, OneUptime includes a no-code workflow automation builder, custom data visualization dashboards, Kubernetes cluster and pod observability, Docker host and container monitoring, and CPU/memory profiling. Its AI Agent feature can automatically analyze incidents and open pull requests to resolve detected issues, dramatically reducing mean time to resolution. Designed for DevOps engineers, SREs, and platform teams, OneUptime scales from small startups to enterprise organizations. With 6,800+ GitHub stars, a self-host option, a free tier on the cloud, and enterprise support available, it offers flexibility for any deployment model. By centralizing reliability operations, OneUptime eliminates tool sprawl and helps teams detect, diagnose, and resolve incidents faster while keeping customers informed.

Key Features

  • Uptime & Synthetic Monitoring: Check websites, APIs, servers, and databases every 10 seconds from 100+ global locations, with synthetic tests to simulate real user flows.
  • Incident Management & On-Call Alerting: Detect and resolve incidents fast with smart alert routing, escalation policies, and on-call scheduling built directly into the platform.
  • Status Pages: Host branded public or private status pages with real-time updates, 90-day uptime history, and subscriber notifications via email, SMS, and RSS.
  • Full-Stack APM (Logs, Metrics, Traces, Exceptions): Ingest and search logs at high speed, collect application and infrastructure metrics, perform end-to-end distributed tracing, and track exceptions for rapid debugging.
  • AI Agent & No-Code Workflows: An AI Agent analyzes incidents and automatically creates pull requests to resolve them, while a no-code workflow builder automates operational processes without writing code.

Use Cases

  • SRE and DevOps teams managing uptime, on-call rotations, and incident response for production services.
  • Startups and scaleups replacing multiple SaaS tools (Datadog, PagerDuty, Statuspage) with a single self-hosted platform to reduce costs.
  • Enterprise engineering organizations needing full observability — logs, metrics, traces, and exceptions — with data residency and compliance requirements.
  • Platform teams automating operational workflows (e.g., auto-remediation, alert routing) using the built-in no-code workflow builder.
  • Customer-facing teams publishing real-time status pages to keep users informed during incidents and planned maintenance windows.

Pros

  • Truly Open Source & Self-Hostable: With 6,800+ GitHub stars, OneUptime is fully open source and can be self-hosted, giving teams complete control over their data and infrastructure costs.
  • All-in-One Reliability Stack: Replaces 10+ separate tools (monitoring, APM, on-call, status pages, logs, traces, etc.) with a single unified platform, reducing tool sprawl and context-switching.
  • AI-Powered Incident Resolution: The built-in AI Agent can automatically diagnose incidents and open pull requests with fixes, accelerating mean time to resolution significantly.
  • Flexible Deployment Options: Available as a managed cloud service with a free tier or as a self-hosted deployment, catering to organizations with varying compliance and budget requirements.

Cons

  • Self-Hosting Requires Operational Overhead: Running OneUptime on your own infrastructure demands DevOps expertise for setup, maintenance, and upgrades, which may be a barrier for smaller teams.
  • Broad Feature Set Has a Learning Curve: The sheer breadth of features — from APM to workflows to Kubernetes monitoring — can be overwhelming for teams looking for a simple, focused solution.
  • Enterprise Features Require a Paid Plan: Advanced enterprise-grade capabilities and dedicated support are available only through paid tiers, which may be costly for smaller organizations.

Frequently Asked Questions

Is OneUptime really free to use?

Yes. OneUptime is open source and can be self-hosted for free. A cloud-hosted version is also available with a free tier, while paid plans unlock additional capacity and enterprise features.

Can I self-host OneUptime?

Absolutely. OneUptime is fully open source (available on GitHub with 6,800+ stars) and designed to be self-hosted on your own infrastructure, giving you full control over your data.

What types of resources can OneUptime monitor?

OneUptime can monitor websites, APIs, servers, databases, containers, Kubernetes clusters, and Docker hosts. It supports synthetic tests to simulate real user flows as well.

How does the AI Agent work?

The AI Agent analyzes incoming incidents, identifies the likely root cause, and automatically creates pull requests in your code repository to resolve the detected issues — reducing manual intervention and speeding up resolution.

How is OneUptime different from tools like Datadog or PagerDuty?

OneUptime combines the functionality of multiple specialized tools (monitoring, APM, on-call, incident management, status pages) into one open-source, self-hostable platform, often at a significantly lower cost than proprietary SaaS alternatives.

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