Choose Uptime Kuma for a focused, low-dependency uptime and status-page service. Choose Checkmate when you also need host metrics, Docker visibility, PageSpeed, incident history, and broader infrastructure checks. Uptime Kuma is documented as a single-container application with persistent data. Checkmate combines its application with MongoDB in the reference Docker deployment and adds Kubernetes, Helm, and source-install options. Neither project’s cited documentation provides a neutral, same-workload performance benchmark, so there is no evidence-based CPU, RAM, latency, database-growth, or alert-delivery winner.
Uptime Kuma and Checkmate at a glance
The products overlap on basic HTTP, ping, TCP, DNS, WebSocket, game-server, Docker, alerting, and public-status use cases, but they are aimed at different operating scopes. Kuma concentrates on service availability. Checkmate treats uptime as one part of an infrastructure and incident-monitoring platform.
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| Decision axis | Uptime Kuma | Checkmate |
|---|---|---|
| Primary role | Focused self-hosted uptime and status monitoring | Uptime plus infrastructure and incident monitoring |
| Documented checks | HTTP(S), TCP, keyword, JSON query, WebSocket, ping, DNS record, push, Steam Game Server, and Docker-container monitors | HTTP/HTTPS, ping, TCP, Docker, gRPC, WebSocket, DNS, game server, PageSpeed, SSL, and Capture-based hardware monitors |
| Notifications | More than 90 services listed in the project README; 20-second intervals are listed there as well (README retrieved in 2026) | 12 alert channels listed on the 2026 feature page |
| Deployment | One Docker container with persistent /app/data on port 3001; a non-Docker Node.js/PM2 path is also documented |
Application image plus MongoDB in the reference Docker setup; Kubernetes/Helm and source installation are also documented |
| Status and incidents | Multiple status pages and domain mapping | Public status pages, incident history, branding and themes, and API validation |
| Infrastructure metrics | Not established by the cited README passage | Capture reports CPU, memory, disk, network, and temperature data to the Checkmate instance |
| License and monitor limits | The cited passages do not establish a comparable limit policy or license detail | AGPL-3.0; the project states there are no monitor limits |
What each product actually monitors
Uptime Kuma’s service-focused catalog
Kuma’s project README lists the checks most teams need for external and internal endpoints:
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- HTTP(S): verify that a URL responds.
- TCP and ping: test reachability at the transport or network layer.
- Keyword and JSON-query checks: validate content, not merely a successful HTTP status.
- WebSocket: monitor a persistent WebSocket endpoint.
- DNS-record: check DNS responses.
- Push: let a scheduled job report that it is still running.
- Steam Game Server: monitor a supported game server.
- Docker container: inspect container state through the Docker daemon.
The same README lists multiple status pages, certificate information, proxy support, two-factor authentication, and notifications through more than 90 services. It also lists 20-second monitoring intervals. Those figures describe the project documentation retrieved in 2026; they are not a promise that every notification provider or every monitor configuration behaves identically.
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This catalog is broad enough for websites, APIs, home-lab services, scheduled tasks, and game servers without turning Kuma into a host-metrics suite. If your definition of monitoring is “is this endpoint reachable, and can I tell people when it is not?”, Kuma’s scope is a good fit.
Checkmate’s broader observability surface
Checkmate documents the familiar endpoint checks—HTTP/HTTPS, ping, TCP, WebSocket, DNS, and game-server monitors—but extends the list with gRPC, PageSpeed, SSL, Docker, and hardware monitoring through its Capture agent. Its feature page also lists public status pages, incident history, selectable themes, API validation, and 12 alert channels.
The distinction is operational rather than merely a longer feature list. A PageSpeed check can expose a degradation that still returns HTTP 200. API validation can test an expected response rather than only a connection. A gRPC monitor covers a protocol that a basic HTTP checker does not represent. Capture adds host-level signals—CPU, memory, disk, network, and temperature—so an outage can be investigated alongside resource pressure.
Checkmate’s feature page says it performs global uptime checks from six continents. Treat that as the scope stated by the product page, not as an independently measured latency or availability guarantee. The documentation reviewed for this comparison does not provide a neutral test of those checks against Kuma.
Deployment and architecture differences
Uptime Kuma: the smallest documented Docker footprint
The official installation pattern runs Kuma as one container, publishes port 3001, and stores application data in a persistent volume:
docker run -d --restart=unless-stopped -p 3001:3001 -v uptime-kuma:/app/data --name uptime-kuma louislam/uptime-kuma:1
After the container starts, open the host’s port 3001, complete the initial account setup, and create monitors from the web interface. Keep the /app/data volume across upgrades and container replacement; it contains the application’s persistent state.
Kuma’s wiki warns that its SQLite database requires POSIX file locks to avoid corruption. Network File System (NFS) storage can have incompatible locking behavior, so a volume backed by NFS is a poor default for the database. Use local storage with reliable file locking, or verify your storage implementation before putting production monitor data there.
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A non-Docker Node.js/PM2 installation path is also documented. That option removes the container layer but adds responsibility for the Node runtime, process supervision, updates, and filesystem permissions. For most single-host installations, the documented container is simpler; the non-Docker path is useful when containerization is prohibited or already conflicts with your operating model.
Checkmate: application plus MongoDB
Checkmate’s recommended fast path uses the multi-architecture ghcr.io/bluewave-labs/checkmate application image together with MongoDB as a separate required service. The reference deployment is therefore not a single-container equivalent to Kuma: you must plan for the application, the database, persistent database storage, networking between them, and backups for both configuration and data.
The project also documents Kubernetes and Helm deployment as well as installation from source. Those options make Checkmate more suitable for teams that already operate a cluster or need to integrate deployment into an existing build pipeline, but they introduce the normal operational overhead of a cluster or a source-based runtime.
Before deploying, decide where MongoDB data will live, how it will be backed up, and how upgrades will be rolled back. The comparison sources do not state a required MongoDB version, default application port, CPU or memory minimum, or database-retention schedule; obtain those values from the release-specific installation documentation rather than guessing.
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CPU architectures and small hosts
Checkmate’s installation page explicitly lists images for linux/amd64 and linux/arm64, and names Apple Silicon plus Raspberry Pi 4 and Raspberry Pi 5 among supported ARM devices. That makes a Raspberry Pi 5 a reasonable optional host for either application when your storage, power supply, cooling, and enclosure are chosen appropriately.
Support for an architecture does not establish a performance guarantee. A Pi running Checkmate still has to run MongoDB and, if used, Capture; a Kuma deployment has fewer documented components. Use reliable local storage and monitor the host itself, especially when the monitoring service shares a small board with other workloads.
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Docker monitoring is a privileged operation
Uptime Kuma’s socket warning
Kuma’s Docker-monitor documentation is explicit: exposing the Docker socket or a Docker TCP port to Kuma gives the monitor full control of the host’s Docker daemon. The same page says it is not recommended to expose Kuma to the Internet when using this monitor type.
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Checkmate’s three connection approaches
Checkmate documents three ways to obtain Docker-host information:
- Local Unix socket: when Checkmate runs on the Docker host, mount
/var/run/docker.sock:/var/run/docker.sock:rointo the application container as documented. - Remote daemon over TLS: connect to a remote Docker daemon using TLS and client credentials. Do not treat an unencrypted TCP daemon as an acceptable substitute.
- Capture endpoint: use the Capture agent’s endpoint when that is the preferred architecture for host and Docker data.
The read-only socket mount reduces accidental write access at the filesystem-mount level, but it does not make every Docker integration risk-free. Confirm the application’s documented access pattern, keep the dashboard behind authentication and network controls, and limit which hosts can reach the monitoring service.
A practical hardening checklist
- Place the dashboard on a private management network or behind an authenticated reverse proxy.
- Do not expose a Docker socket-connected dashboard directly to the Internet.
- Prefer the local read-only socket pattern when it matches your threat model; use secured TLS credentials for remote daemons.
- Store Docker client certificates and monitor credentials outside publicly served directories.
- Separate monitoring data backups from the host being monitored so a host compromise cannot erase both.
- Review which team members can create or edit monitors and integrations.
Alerts, status pages, and incidents
When notification breadth matters
Kuma’s README lists more than 90 notification services. That breadth is useful when your organization already has a specific chat, paging, email, webhook, or automation destination and does not want to build an adapter. The README also lists proxy support and two-factor authentication, which can matter when the dashboard sits behind a corporate egress path or is administered by multiple people.
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Status pages and incident history
Kuma documents multiple status pages and domain mapping, letting you separate customer-facing services or teams into distinct views. Checkmate documents public status pages plus incident history, themes, branding, and API validation. Incident history is particularly useful when a status page must show what happened after a recovery, not just the current green or red state.
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Decide whether the public page should reveal monitor names, response details, or only service-level status. Keep administrative monitors and internal host metrics off a public page unless the disclosure is intentional.
Infrastructure metrics and data ownership
What Checkmate adds with Capture
Checkmate’s Capture agent reports CPU, memory, disk, network, and temperature data to your own Checkmate instance. The infrastructure documentation states that there is no SaaS backend and no telemetry pipeline: Capture reports to the instance you operate, and the data stays in your database. It also states that Checkmate and Capture are AGPL-3.0 and have no per-host pricing.
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That architecture is useful when an HTTP outage needs correlation with a full disk, thermal throttling, memory pressure, or a saturated network interface. It also means you must operate the database, protect the instance, define retention, and include those records in your backup and deletion policies.
What Kuma’s cited documentation does not establish
The Kuma README passage reviewed here establishes service monitors, status pages, certificates, proxy support, two-factor authentication, and notifications. It does not establish a comparable built-in host-metrics system. If you need CPU, memory, disk, temperature, or network charts as part of the same documented platform, Checkmate has the clearer stated capability.
Licensing, limits, and operational cost
Checkmate states that it is licensed under AGPL-3.0, is self-hosted, and has no monitor limits. Its infrastructure page also says there is no per-host pricing for Checkmate and Capture. AGPL obligations can matter if you modify and provide the software as a network service; review the license text and your organization’s legal requirements.
The cited Kuma passages establish the project and its feature set but do not state a comparable monitor-limit policy or provide enough license detail for a side-by-side legal conclusion. Do not infer unlimited monitors, a particular support arrangement, or a specific commercial policy from the absence of a limit in the excerpt.
“Self-hosted” does not mean cost-free. Both choices require a host, storage, updates, backups, alert-provider accounts where applicable, and time to respond when the monitor itself fails. Checkmate’s extra MongoDB and Capture components can increase the number of services you must maintain; Kuma’s single-container pattern can reduce that footprint for a basic uptime deployment.
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Installation paths you can plan today
Uptime Kuma on Docker
- Choose storage: use a persistent local volume with reliable POSIX file locking; avoid unverified NFS locking for the SQLite data.
- Run the container: execute the documented command with port 3001 and the
uptime-kuma:/app/datavolume. - Protect the interface: restrict access with a firewall or private network, then configure authentication and two-factor authentication.
- Create a monitor: select the check type that matches the failure you care about—HTTP status, keyword, JSON query, TCP, ping, DNS record, push, game server, WebSocket, or Docker.
- Configure notifications: choose the required provider, send a test event, and document the recovery path.
- Publish selectively: create a status page only for services whose names and state are safe to disclose.
- Test failure: stop a non-critical endpoint or use a test monitor, verify alert delivery and recovery, then record the result.
Checkmate with the reference Docker architecture
- Prepare two persistent services: the Checkmate application image and a MongoDB service, with storage and backups planned before onboarding monitors.
- Select the image architecture: use the documented
linux/amd64orlinux/arm64image appropriate to the host. - Connect the application to MongoDB: configure the database connection using the variables and procedure in the release-specific installation guide; the sources reviewed here do not establish default ports or required version numbers.
- Complete the first-run setup: create the administrative account, secure the dashboard, and verify that the application can write to MongoDB.
- Add monitors by failure domain: start with HTTP, TCP, ping, DNS, or WebSocket checks, then add gRPC, PageSpeed, SSL, Docker, game-server, and infrastructure checks where they answer a specific operational question.
- Deploy Capture where needed: install it on selected hosts, send data to your instance, and restrict Docker access according to the local-socket, TLS, or endpoint method you chose.
- Configure status and incidents: set public-page visibility, themes, branding, incident history, and alert channels before inviting external viewers.
- Exercise recovery: test an application failure, a MongoDB interruption, an alert-channel failure, and a Capture disconnect so operators know which component is responsible.
For cluster operators, Checkmate’s documented Kubernetes/Helm path can fit an existing platform. For teams that require code-level control, the source-install path is available, but it carries the maintenance burden of building and updating the application yourself.
Common failure modes and how to avoid them
The dashboard is up, but the monitor data is gone
This usually indicates that the container was recreated without its persistent volume, or that the database volume was not included in a Checkmate backup. Verify the Kuma /app/data mapping or the MongoDB and application data paths before making changes. A successful container start does not prove that historical state is still attached.
SQLite corruption after moving Kuma to network storage
Check the storage’s POSIX locking behavior. Kuma’s documentation specifically highlights NFS file-locking problems. Move the database to storage with dependable locking and restore from a known-good backup if corruption has already occurred.
Docker monitors create an unacceptable attack surface
Remove public exposure, place the dashboard on a management network, and replace an unprotected remote daemon connection with secured TLS or the documented local read-only mount where appropriate. If you do not need container-state monitoring, omit the Docker integration entirely.
Alerts arrive, but nobody can act on them
Check the destination’s credentials, rate limits, and recovery-message content. Test both failure and recovery, and make sure the status page does not hide the internal monitor name that the on-call person needs. Kuma’s large provider list and Checkmate’s 12 listed channels are options, not substitutes for a tested escalation path.
Infrastructure data is missing in Checkmate
Confirm that Capture can reach the Checkmate instance, that its credentials are valid, and that the host’s firewall permits the required connection. Then verify that the selected host is using the intended Docker connection method. A working HTTP monitor does not prove that Capture or Docker access is configured.
Which one should you choose?
Choose Uptime Kuma when
- You primarily need endpoint, API, DNS, push, game-server, or container availability checks.
- You want the smallest documented Docker deployment: one container, port 3001, and persistent
/app/data. - You value a published list of more than 90 notification services.
- You need multiple status pages and domain mapping without adding a separate database service.
- You can provide a protected host and accept that host-metrics capability is not established by the cited README.
Choose Checkmate when
- You need uptime checks together with CPU, memory, disk, network, and temperature data.
- PageSpeed, gRPC, API validation, SSL, incident history, themes, or broader public-status features are requirements.
- You want Docker-host visibility through a local socket, secured remote TLS, or Capture.
- You are comfortable operating MongoDB alongside the application, or already run Kubernetes/Helm.
- You want the project’s stated AGPL-3.0, no-monitor-limit, and no-per-host-pricing model.
- You need an explicitly documented ARM64 image for a Raspberry Pi 4, Raspberry Pi 5, or Apple Silicon host.
Use both only for a defined reason
Running two monitoring systems can provide separation—for example, one independent system watching the other—but it doubles alert routing, upgrades, storage, and incident noise. The sources do not establish a benefit from running both, so choose that architecture only when independence or a specific coverage gap justifies the operational cost.
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No neutral, same-workload benchmark in the cited official material compares CPU consumption, RAM use, request latency, database growth, monitor-scale limits, or alert-delivery reliability. Hardware, monitor count, interval, database history, network path, and notification provider can change those results substantially. Claims that one product is universally faster, lighter, or more reliable would go beyond the evidence.
If those metrics determine your decision, build a controlled pilot: use the same host class, monitor targets, intervals, retention period, alert channels, and failure schedule; record resource use and delivery times; and include database backup and restore tests. Treat the result as specific to your workload rather than a universal product ranking.
Bottom line
Uptime Kuma is the practical default for straightforward self-hosted uptime and status monitoring: its documented single-container deployment and broad notification catalog keep the operational surface small. Checkmate is the stronger fit when “uptime” includes host metrics, Docker infrastructure, PageSpeed, gRPC, SSL, incident history, and richer public status pages—and you are prepared to run MongoDB and secure additional integrations. In either case, protect the dashboard, treat Docker access as privileged, use reliable persistent storage, and test the complete alert-and-recovery path before relying on it.
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