Uptime Kuma vs OpenStatus 2026
Uptime Kuma vs OpenStatus: Self-Hosted Uptime Monitoring
Two open source approaches to uptime monitoring. Uptime Kuma is the beloved self-hosted monitor with 62K+ GitHub stars and a clean UI. OpenStatus is the modern alternative with edge monitoring, beautiful status pages, and an API-first design.
Quick Verdict
Choose Uptime Kuma for the most feature-rich self-hosted monitor — 20+ monitor types, 90+ notification channels, and the largest community. Choose OpenStatus for modern edge monitoring, beautiful public status pages, and a cloud-native architecture.
The Comparison
| Feature | Uptime Kuma | OpenStatus |
|---|---|---|
| Monitor types | 20+ (HTTP, TCP, DNS, Docker, etc.) | HTTP, TCP |
| Notification channels | 90+ | Slack, Discord, email, webhooks |
| Status pages | ✅ (basic) | ✅ (beautiful, customizable) |
| Edge monitoring | ❌ (single location) | ✅ (multiple regions) |
| Incident management | ✅ (manual) | ✅ (manual + automated) |
| Response time charts | ✅ | ✅ |
| SSL certificate monitoring | ✅ | ✅ |
| Keyword monitoring | ✅ | ❌ |
| Docker monitoring | ✅ | ❌ |
| DNS monitoring | ✅ | ❌ |
| Game server monitoring | ✅ | ❌ |
| Ping/ICMP | ✅ | ❌ |
| API | ✅ (basic) | ✅ (comprehensive REST) |
| Custom domains | Status page | Status page |
| Maintenance windows | ✅ | ✅ |
| 2FA | ✅ | ✅ |
| Multi-user | Limited | ✅ |
| Stack | Node.js, SQLite | Next.js, Turso |
| Self-hosted | ✅ | ✅ |
| Cloud option | ❌ | OpenStatus Cloud |
| Stars | 62K+ | 6K+ |
| License | MIT | AGPL-3.0 |
When to Choose Uptime Kuma
- You want the most monitor types (HTTP, TCP, DNS, Docker, game servers, MQTT, etc.)
- 90+ notification channels are needed (Telegram, PagerDuty, Gotify, Matrix, etc.)
- Docker container monitoring is important
- Single-server deployment with SQLite (simplest possible setup)
- The largest community and most mature project
- Keyword and content monitoring
- You don't need multi-region checks
When to Choose OpenStatus
- Beautiful public status pages are a priority
- Edge monitoring from multiple geographic regions
- API-first design for programmatic management
- Cloud-native architecture (serverless-friendly)
- Built-in incident management workflow
- Modern tech stack (Next.js, edge functions)
- Managed cloud option available
Setup Comparison
Uptime Kuma — one command:
docker run -d --restart=always \
-p 3001:3001 \
-v uptime-kuma:/app/data \
--name uptime-kuma \
louislam/uptime-kuma:1
OpenStatus — requires more setup:
git clone https://github.com/openstatusHQ/openstatus.git
cd openstatus
pnpm install
cp .env.example .env
# Configure Turso database, API keys
pnpm dev
Uptime Kuma wins on simplicity — single Docker container, SQLite database, no external dependencies. OpenStatus requires a database and more configuration but offers a more modern architecture.
The Status Page Difference
Both offer public status pages, but they're different:
Uptime Kuma — functional status pages with uptime percentages, response time charts, and incident history. Gets the job done. Customization is limited.
OpenStatus — designed for beautiful status pages. Custom branding, custom domains, subscriber notifications, and a modern design that looks professional. If your status page is customer-facing, OpenStatus delivers a more polished experience.
The Bottom Line
Uptime Kuma is the Swiss Army knife of self-hosted monitoring — 20+ monitor types, 90+ notification channels, and the simplest possible deployment. It's the default recommendation for anyone wanting self-hosted uptime monitoring.
OpenStatus is the modern alternative — fewer monitor types, but edge monitoring from multiple regions, beautiful status pages, and an API-first architecture. Choose it when status page quality and multi-region monitoring matter more than monitor type diversity.
For most self-hosters, Uptime Kuma is the right choice. For teams needing customer-facing status pages, OpenStatus is worth the extra setup.
Production Deployment and Data Persistence
Uptime Kuma's SQLite-based architecture is both its greatest strength and a potential limitation at scale. SQLite requires no database server — the entire application state lives in a single file in a Docker volume. For most teams monitoring dozens or even hundreds of services, SQLite handles the load without issues. The database writes are primarily uptime check results and status changes, which SQLite handles efficiently.
The caution with SQLite is backup discipline. Because the data lives in a single file, your backup strategy needs to account for SQLite's write-ahead logging. A naive file copy while Uptime Kuma is running can produce a corrupted backup if a write is in progress. The safest approach is to use SQLite's .dump command or a dedicated SQLite backup tool like litestream, which streams SQLite changes to S3-compatible storage in real time. Litestream is particularly valuable for Uptime Kuma — it gives you point-in-time recovery of your monitoring history without any application changes.
For teams running Uptime Kuma on a VPS alongside other services, resource usage is minimal. Uptime Kuma idles at under 100 MB RAM between checks. During a check cycle, it spawns connections to monitored services but returns to idle quickly. A 1 GB RAM VPS comfortably runs Uptime Kuma alongside a reverse proxy and several other small services.
Reverse proxy configuration for Uptime Kuma requires one non-obvious setting: enable WebSocket proxying. Uptime Kuma's real-time dashboard uses WebSockets to push status updates to the browser. Without WebSocket support in your proxy configuration, the dashboard appears to load but does not update in real time. In Caddy, WebSocket proxying is automatic. In Nginx, add proxy_http_version 1.1 and the appropriate Upgrade headers to your location block.
Building a Complete Monitoring Stack Around Uptime Kuma
Uptime Kuma is purpose-built for external uptime monitoring — checking whether your services respond from the outside. It does not cover infrastructure-level metrics like CPU usage, memory pressure, or disk space. A production monitoring stack for a self-hosted infrastructure needs both layers.
The standard complement to Uptime Kuma is a Prometheus and Grafana stack for infrastructure metrics. Prometheus scrapes metrics from your servers via node_exporter and from your applications via their metrics endpoints. Grafana visualizes these metrics with dashboards and fires alerts when thresholds are breached. While Uptime Kuma tells you "the HTTP endpoint is not responding," Grafana tells you "the server running that endpoint has 100% disk usage." Together they give you both external and internal observability.
For error-level observability — application exceptions rather than infrastructure metrics — pairing Uptime Kuma with GlitchTip gives you a lightweight complete stack. Uptime Kuma handles uptime; GlitchTip handles exceptions. Both are MIT-licensed, both run on minimal server resources, and neither requires the operational complexity of a full Sentry or Prometheus stack. This combination is popular among indie developers and small teams running on a single VPS who want meaningful observability without dedicated DevOps resources. Our GlitchTip vs Sentry comparison covers when to reach for the lighter option versus the full platform.
Notification routing is where a mature monitoring stack shows its quality. Uptime Kuma's 90+ notification channels are impressive, but raw notification volume becomes noise quickly. Configure Uptime Kuma with alerting thresholds — only send a notification after a service has been down for 2 minutes rather than on the first failed check, and set up recovery notifications to close the loop when a service comes back online. Route critical alerts (production database down) to PagerDuty or an on-call rotation, and route lower-priority alerts (staging environment down) to a Slack channel. The notification hierarchy matters as much as the monitoring itself.
Grafana vs Uptime Kuma: Understanding the Overlap
Some teams reach for Grafana when they first need uptime monitoring, since Grafana can display uptime metrics via its grafana-synthetic-monitoring-agent plugin or via Blackbox Exporter for Prometheus. It is worth understanding when to use which tool.
Grafana is an excellent visualization layer for metrics already collected by Prometheus. If you are running a Prometheus stack and want to add HTTP endpoint checks, the Prometheus Blackbox Exporter is a natural fit — it sends HTTP checks on a schedule and exposes the results as Prometheus metrics that Grafana can graph. This approach gives you uptime data alongside all your other metrics in one place.
Uptime Kuma is better when you want a standalone uptime monitoring tool without the Prometheus/Grafana stack. It has a purpose-built UI for monitoring, status pages, and notifications — things that require significant Grafana configuration to replicate. For teams that do not already run Prometheus, adding the full observability stack just for uptime monitoring is significant overhead. Our Grafana vs Uptime Kuma guide covers the decision in more detail for teams sitting at this fork in the road.
The practical recommendation for most self-hosters: start with Uptime Kuma for uptime monitoring, and add Prometheus plus Grafana when you need infrastructure metrics. They complement each other naturally — Uptime Kuma's WebSocket dashboard for real-time uptime status, Grafana for historical infrastructure metrics and trend analysis.
Community and Project Sustainability
Uptime Kuma's 62K+ GitHub stars make it one of the most popular self-hosted tools of any category — not just monitoring. Its author, Louis Lam, has maintained active development since the project's 2021 launch. The issue tracker is active and pull requests move quickly. The MIT license and high community activity make it one of the lowest-risk self-hosted tools to adopt — even if development slowed, the community would continue maintaining it.
OpenStatus is considerably newer and smaller, with around 6K stars and a smaller contributor base. The project is venture-backed and has a cloud product, which provides financial sustainability but also means product direction follows cloud customer needs. For self-hosters, this means OpenStatus cloud features may arrive before self-hosted parity. The AGPL license means any modifications must be published, which is the trade-off for using the community edition.
For teams building serious self-hosted infrastructure, Uptime Kuma's track record, community size, and MIT license make it the lower-risk choice for the uptime monitoring layer of your stack. For teams using Portainer or Dockge to manage their Docker containers, the Portainer vs Dockge comparison covers how container management tools complement uptime monitoring — you can see container health in Portainer while Uptime Kuma monitors the external-facing service endpoints.
Notification Strategy: Getting Alerts Right
Both tools support notifications, but the quality of your alerting strategy matters as much as which tool you choose. Too many alerts and your team becomes numb to them. Too few and you miss genuine problems.
Uptime Kuma's configurable retry and notification timing gives you the right controls. The key settings are: check interval (how often to ping), retry count (how many consecutive failures before alerting), and the accepted statuses (which HTTP codes are considered healthy). For a production API, configure a 60-second check interval, 2 retries before alerting (preventing false positives from transient network blips), and alert only on non-2xx status codes or connection timeouts. For a static website served from a CDN, a 5-minute check interval is sufficient and reduces load on both your monitor and the monitored service.
Group your monitors logically in Uptime Kuma using tags. Group production services separately from staging and development environments. This makes the dashboard scannable at a glance and allows you to configure different notification channels per group. Production alerts go to PagerDuty or an on-call rotation; staging alerts go to a Slack channel that engineers check during business hours. The same physical Uptime Kuma instance handles all environments with different alert routing.
For teams that have customer-facing status pages as a product requirement — where enterprise customers expect to see your uptime SLAs — OpenStatus's polished status page design justifies its additional setup complexity. A status page that looks professional signals operational maturity to customers, which matters in B2B contexts. If your status page is primarily internal — for your engineering team to track their own services — Uptime Kuma's functional status page is sufficient and the simpler operational footprint wins.
Compare monitoring tools on OSSAlt — features, notification channels, and community health side by side.
See open source alternatives to Openstatus on OSSAlt.