Uptime Kuma and Beszel solve different monitoring problems. Uptime Kuma checks whether a service is reachable from the outside. Beszel collects host, container, storage, and hardware telemetry from agents running inside your systems. Choose Kuma when your first question is “Can users reach it?” Choose Beszel when it is “Why is this machine slow, full, hot, or overloaded?” Run both when you need dependable outage detection and enough context to diagnose the outage.
The choice is therefore less about picking a universal winner and more about matching the monitoring perspective to the incident you need to catch. A synthetic check can prove that a user-facing endpoint works, while an agent can explain why that endpoint is close to failing. Understanding that boundary prevents false confidence and helps you design a monitoring stack that remains useful during an outage.
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Uptime Kuma vs Beszel at a glance
| Decision axis | Uptime Kuma | Beszel |
|---|---|---|
| Primary question | Is a service, endpoint, port, DNS record, or container responding? | How is the host, container, disk, network, or hardware performing? |
| Monitoring perspective | Outside-in probes from the Kuma instance | Inside-out telemetry sent by an agent on each monitored system |
| Architecture | One self-hosted application | PocketBase-based hub plus an agent per monitored system |
| Checks and metrics | HTTP(S), TCP, keyword, JSON query, WebSocket, ping, DNS, push, Steam, Docker, certificate details, and ping charts | CPU, memory, swap, ZFS ARC, disk usage and I/O, network, load, temperature, fan, GPU, battery, containers, S.M.A.R.T., ZFS, and agent-based network monitors |
| Presentation and alerts | More than 90 notification services, multiple status pages, domain mapping, proxy support, and two-factor authentication | Configurable alerts, many notification services, multi-user access, OAuth/OIDC, API access, and automatic backups |
| Best first choice | Public websites, APIs, game services, and endpoint availability | Server capacity, fleet health, containers, storage, and hardware diagnosis |
The projects themselves describe Kuma as an easy-to-use self-hosted monitoring tool and Beszel as a lightweight server-monitoring platform with Docker statistics, historical data, and alert functions. Those descriptions reflect their boundary: Kuma is primarily a synthetic checker, while Beszel is primarily an infrastructure telemetry system.
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Neither feature list is a complete definition of the products. Kuma can monitor more than web pages, and Beszel can perform some network checks. The decisive difference is where the observation occurs and what the monitor can explain after a check changes state.
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What Uptime Kuma monitors
Kuma creates checks that run from the machine where Kuma is installed. Depending on the monitor type, it can test an HTTP or HTTPS response, TCP port, ping target, DNS record, keyword in a response, JSON value, WebSocket, push heartbeat, Steam server, or Docker container. It can also show certificate information and response-time charts.
When Kuma gives the clearest answer
- A customer-facing website returns the expected status and content.
- An API endpoint responds from outside your network.
- A DNS name resolves and a TCP service accepts connections.
- A scheduled job sends its push heartbeat before the deadline.
- A status page should show selected monitors to users or teammates.
- A Steam or other game service is accepting connections.
- A Docker container is reachable according to the selected Kuma check.
Keyword and JSON checks let you validate more than a successful TCP handshake. You can require expected text or a value in a response, which catches cases where a reverse proxy returns a technically valid but incorrect page. Certificate information and ping charts add useful context for expiry and latency investigations.
This is an availability test, not proof that every part of the underlying system is healthy. An HTTP check can remain green while a disk is nearly full, CPU is saturated, or a secondary worker is failing. Conversely, an endpoint can be healthy for local users while an external route, DNS provider, or firewall path is broken.
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The official project documents Docker Compose, a Docker command, and a non-Docker installation. The latter requires Node.js 20.4 or newer, Git, and PM2 to keep the process running in the background. Its README warns that NFS file systems are not supported for the data mapping, so store Kuma’s data on a supported local or block-backed file system.
Docker Compose is usually the simplest repeatable deployment for a small installation. A standalone Docker command can suit a single host, while the Node.js and PM2 route is useful when you intentionally manage the runtime yourself. Whichever method you choose, persist the application data and include it in your backup and recovery plan. A monitor that loses its configuration during a disk replacement is not helping you recover.
What Beszel monitors
Beszel uses a central hub and an agent installed on every monitored machine. Agents report historical host and container data to the hub. The resulting view is designed to answer capacity and diagnosis questions: whether memory pressure is rising, storage is filling, a container is consuming unusual resources, or hardware is overheating.
Beszel’s host and hardware telemetry
- CPU utilization and load.
- Memory, swap, and ZFS ARC usage.
- Disk capacity, disk I/O, and network traffic.
- Temperature and fan readings.
- GPU and battery statistics where exposed by the operating system.
- S.M.A.R.T. and ZFS information.
- Container-level resource consumption.
Historical data makes trends visible rather than limiting you to the state at the moment an alert fires. A rising disk-use curve can reveal that a log or media workload will exhaust storage next week; a recurring load spike can distinguish a scheduled job from a sustained capacity problem. The same history also helps you tune alerts against normal behavior rather than selecting arbitrary limits.
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Beszel’s network checks
Beszel is not limited to host statistics. Agents can probe ICMP, TCP, HTTP, and DNS targets, reporting response time and packet loss. Network monitors require agent version 0.20.0 or later. The documented network-loss alert uses a default threshold of 5% packet loss over the previous hour and requires at least three probes before it fires.
That threshold and observation window matter operationally. A single lost packet should not page you as an outage, and fewer than three probes do not provide enough observations for the documented alert. Review the defaults against your link quality and workload before changing them.
These checks give Beszel limited availability-monitoring capability, but its distinctive value remains the telemetry collected from the machines running its agents. It is not a complete substitute for an independently placed external prober. If the agent’s host loses power or the route to the hub fails, the hub may stop receiving both telemetry and network-check results.
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Is Beszel a replacement for Uptime Kuma?
Usually, no. Beszel can check websites or DNS through its network monitors, but an agent must perform those checks and the hub must receive the results. Kuma is purpose-built for service checks, public status pages, certificate visibility, push monitors, and a broad notification-integration list.
Conversely, Kuma does not provide Beszel’s agent-level view of CPU, memory, storage I/O, temperatures, S.M.A.R.T., ZFS, or container consumption. Installing both is sensible when an outage needs two perspectives: a user-perspective alert that the service is unavailable and an administrator-perspective explanation of what changed on the host.
Think of Beszel’s network monitor as an additional signal inside an infrastructure dashboard, not as a replacement for an external synthetic-monitoring design. It can tell you what an agent observes. Kuma, when placed elsewhere, can tell you what a user or remote network observes.
Which monitor should you run first?
Start with Uptime Kuma if availability is the requirement
- Your service is public or user-facing.
- You need HTTP, TCP, ping, DNS, keyword, JSON, WebSocket, push, certificate, Steam, or Docker checks.
- You want status pages for colleagues or customers.
- You prefer one application rather than a hub plus per-host agents.
- Your alerting plan depends on one of Kuma’s many notification integrations.
- You need to test from a network location separate from the application host.
Kuma is also a sensible first deployment for a small home lab where the immediate goal is knowing that a dashboard, VPN endpoint, DNS service, or game server is reachable. Add checks incrementally, starting with the endpoints whose failure has a clear user impact.
Start with Beszel if infrastructure health is the requirement
- You operate several servers and need one resource-history dashboard.
- Disk exhaustion, memory pressure, CPU saturation, thermal problems, or GPU load are likely failure modes.
- You need container-level usage and host-level context together.
- You want multi-user, OAuth/OIDC, API, backup, and configurable-alert features in the monitoring hub.
- You need to compare capacity trends across a fleet rather than inspect hosts one at a time.
Beszel is the stronger first step when “the website is slow” is a recurring complaint and you need evidence about load, I/O, memory, or a noisy container. It is also a better fit for storage-heavy systems where S.M.A.R.T. or ZFS information is part of routine maintenance.
Run both for production-style coverage
A public service may answer HTTP requests while the host is one incident away from failure. Kuma can alert on the user-visible symptom; Beszel can show rising load, a filling disk, or a container consuming memory. This paired model is especially useful for Docker hosts and small server fleets.
The combined design does add operational work: an independently placed Kuma prober, a Beszel hub, and an agent on every host that needs telemetry. That cost is justified when an outage has meaningful customer impact or when diagnosing a failure remotely saves more time than maintaining the extra components.
Failure-domain placement: where to host Uptime Kuma
Kuma can only report an outage while its own process, network path, and storage are available. If Kuma runs on the same physical host, power circuit, hypervisor, or network segment as the service it checks, a shared failure can remove both the service and the alerting system. In that arrangement, a green dashboard may simply mean that Kuma cannot observe the failure.
For external availability, place the Kuma instance in an independent failure domain: a separate server, site, or small cloud/VPS instance with a different network path. The goal is not a particular hardware brand; it is independence from the system being tested. Internal-only services can reasonably use an in-network Kuma instance, but document that its outage visibility ends with the same network or site.
A small VPS or cloud server is an optional hosting decision, not a required product for either project. Its value is the independent vantage point. If you use one, secure the dashboard, restrict administrative access, and make sure the instance has a reliable route to the endpoints you care about. Do not assume that “in the cloud” automatically means independent if both systems still depend on the same provider or network path.
Deployment patterns for Beszel
The hub runs as a central service, while each monitored machine runs an agent. The official Docker-agent example uses host networking, a read-only Docker socket mount for container statistics, a hub URL, public key, token, and a listening port. Restrict the socket to read-only and expose only the network access required for the agent-to-hub connection.
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For a fleet, standardize the agent configuration and record which host maps to which hub identity. Keep the hub reachable from agents without exposing unnecessary administrative interfaces to the public internet. Treat the public key and token as credentials: store them securely, rotate them according to your operational policy, and remove access for retired hosts.
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When to use the binary agent
Rootless containers may not expose temperature, fan, battery, GPU, ZFS, S.M.A.R.T., or systemd metrics without additional configuration. The documentation suggests using the binary agent when those metrics matter. Choose the deployment that can actually read the signals you need, rather than assuming every containerized agent has full host visibility.
Before declaring an agent healthy, inspect the metrics it reports. A connected agent that exposes CPU and memory but no temperature or disk-health data may be functioning exactly as configured. Decide whether those missing sensors are acceptable; if not, move to the binary agent or apply the documented host configuration.
Alerting, status pages, and team workflows
Kuma’s large notification-integration list and status pages favor service-oriented communication. You can present a selected set of monitors to users or teammates while keeping internal checks private. Two-factor authentication, domain mapping, and proxy support are useful around that public-facing presentation, but they do not replace normal account, reverse-proxy, and host hardening.
Beszel’s configurable alerts, multi-user access, OAuth/OIDC, API, and automatic backups favor an operations dashboard. A team can share the hub while retaining historical context for each machine. Use alerts for actionable conditions such as sustained resource pressure or packet loss, and use the historical charts to investigate trends that do not yet justify a page.
Whichever tool you choose, test the complete notification path. Trigger a controlled check failure, confirm the message arrives through the intended service, and verify that recovery notifications also work. An integration that was configured once but never tested is an assumption, not an alerting system.
How to choose by operational question
| Your question | Primary tool | Reason |
|---|---|---|
| Can customers reach the HTTPS endpoint? | Uptime Kuma | External HTTP(S) probing and response assertions |
| Did DNS or a TCP port stop responding? | Uptime Kuma | Dedicated DNS, TCP, and ping monitor types |
| Why did the service become slow? | Beszel | CPU, memory, load, I/O, network, and container history |
| Which server is filling its disk? | Beszel | Fleet-wide disk and historical capacity data |
| Is a container consuming the host’s resources? | Beszel | Container statistics alongside host metrics |
| What should users see during an incident? | Uptime Kuma | Status pages and service-oriented monitor presentation |
| Can one hub serve several administrators? | Beszel | Multi-user and OAuth/OIDC features |
| Can I check a website or DNS from an agent? | Beszel, with limits | Its agent-based network monitors support ICMP, TCP, HTTP, and DNS |
| Can I see certificate details and push-heartbeat failures? | Uptime Kuma | Certificate visibility and push monitor types are core Kuma use cases |
Cost and hosting considerations
Neither project requires a specific physical product, and no verified vendor pricing is part of this comparison. Both can run on hardware you already operate. The practical cost is the time and infrastructure required to keep the monitoring layer independent, backed up, updated, and reachable when the monitored service fails.
A small VPS or cloud instance can host Kuma as an external vantage point, or host a Beszel hub that must receive agent data. A local server can be cheaper in direct cash terms, but it may share the same power, network, or site failure as the systems it monitors. Treat hosting location as a reliability decision first and a price decision second. For Beszel, account for one agent deployment and its access requirements on every monitored system. For that independent vantage point or hub, an Antihost VPS offers Linux root access with NVMe storage in the USA East, Netherlands, or Ukraine.
Practical rollout checklist
- List the services whose availability matters and the host conditions that could make them fail.
- Choose whether each observation must be external, internal, or both.
- Deploy Kuma independently when an outside-user view is required.
- Add HTTP(S), TCP, DNS, ping, push, or other checks with thresholds that match the service’s real behavior.
- Deploy the Beszel hub and one agent on each host where capacity or hardware diagnosis matters.
- Grant the agent only the access needed for container and host metrics.
- Verify which sensors are visible; switch from a rootless container to the binary agent if required telemetry is missing.
- Configure notifications and test an alert deliberately rather than assuming delivery works.
- Review historical trends after normal operation so alert thresholds reflect the workload instead of guesswork.
- Document the failure domain, credentials, backups, and recovery steps for both monitoring systems.
Common pitfalls and fixes
Both tools share the outage
Move Kuma outside the service’s failure domain. A monitor on the same host cannot reliably report a host-wide power, kernel, storage, or network failure.
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Check container privileges and host exposure. Rootless deployments may lack hardware, ZFS, S.M.A.R.T., battery, GPU, or systemd data; use the binary agent or apply the documented additional configuration.
Container statistics are absent
Confirm the agent can access the Docker socket and that the mount is read-only as intended. Also verify host networking and the hub URL, public key, token, and listening port.
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Network-loss alerts fire too quickly
Remember the documented default: 5% packet loss across the previous hour, with at least three probes required. Adjust thresholds only after considering intermittent links and the number of probes available.
Availability is green but the server is unhealthy
That is an expected gap between synthetic checks and telemetry. Pair Kuma with Beszel when resource exhaustion can precede a visible outage.
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Both systems hold operational data and notification credentials. Protect administrative accounts, use the available two-factor or OAuth controls, limit network exposure, and keep backups protected. A status page should expose only the monitors and details intended for its audience.
Privacy, control, and maintenance
Both projects are self-hosted, so monitor data, credentials, notification configuration, and dashboards remain under your operational control. That also makes maintenance your responsibility: secure the host, protect hub and Kuma accounts, back up their data, update components, and test notification paths. Beszel’s automatic backups and Kuma’s two-factor-authentication support help, but neither removes the need for access control and recovery planning.
Self-hosting also lets you keep internal service names, infrastructure metrics, and historical performance data within your own environment. In exchange, you must plan for updates, storage growth, log retention, and recovery. Review the official installation and compatibility notes when upgrading, especially where Node.js versions, agent versions, Docker access, or filesystem support affect operation.
Frequently asked questions
Is Beszel a replacement for Uptime Kuma?
Not in most deployments. Beszel can probe ICMP, TCP, HTTP, and DNS targets from an agent, but Kuma offers a broader service-monitoring workflow with status pages, certificate information, push checks, and many notification integrations. Beszel’s main advantage is host, container, storage, and hardware telemetry.
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Can Beszel check websites or DNS?
Yes. Beszel agents can probe HTTP and DNS targets, as well as ICMP and TCP targets, and report response time and packet loss. Those checks still depend on the agent and its connection to the hub, so place an independent Kuma prober elsewhere when external outage visibility matters.
How do I monitor Docker containers and the host?
Use Beszel for container statistics alongside CPU, memory, disk, network, and other host metrics. Its Docker-agent example uses host networking and a read-only Docker socket mount. Use Kuma as well if you need to verify that the containerized service is reachable from a user or external network perspective.
Where should I host Uptime Kuma so it alerts when my server is down?
Use a separate server, site, or small cloud/VPS instance with a different network path from the monitored server. A Kuma instance on the same host or failure domain may disappear at the same time as the service and cannot reliably report that outage.
What version of the Beszel agent supports network monitors?
The documented network-monitor feature requires agent version 0.20.0 or later. Confirm the deployed version before troubleshooting missing ICMP, TCP, HTTP, or DNS monitor functions.
Why are temperature or S.M.A.R.T. metrics missing from my Beszel agent?
Rootless containers may not expose temperature, fan, battery, GPU, ZFS, S.M.A.R.T., or systemd data. Check the agent’s privileges and host visibility, then use the binary agent or the documented additional configuration when those metrics are required.
Does Uptime Kuma need Node.js?
Only the documented non-Docker installation requires Node.js, specifically version 20.4 or newer, along with Git and PM2. Docker and Docker Compose deployment methods are also documented.
Can I run only one of them?
Yes. Run Kuma alone when reachability and user-facing status are the priority. Run Beszel alone when internal resource history, host health, and container diagnosis are the priority. Run both when you need independent availability evidence and infrastructure context.
Bottom line
Run Uptime Kuma first for an answer about reachability and user-visible uptime. Run Beszel first for an answer about server resources, containers, storage, and hardware health. If both questions matter, deploy both: place Kuma independently for trustworthy outage visibility, and use Beszel’s hub-and-agent model to explain what is happening inside each machine.
Frequently Asked Questions
Is Beszel a replacement for Uptime Kuma?
Usually not. Beszel offers agent-based ICMP, TCP, HTTP, and DNS checks, while Uptime Kuma is focused on service checks, status pages, certificate visibility, push monitors, and broad notification integrations. Beszel’s distinctive role is host, container, storage, and hardware telemetry.
Can Beszel check websites or DNS?
Yes. Beszel agents can probe HTTP and DNS targets, plus ICMP and TCP targets. Because the agent and hub must remain available, use an independently placed Uptime Kuma instance when you need external outage visibility.
How do I monitor Docker containers and the host?
Install a Beszel agent with the documented host-networking setup and read-only Docker socket mount to collect container statistics alongside host metrics. Add Uptime Kuma when you also need user-perspective reachability checks.
Where should I host Uptime Kuma so it still alerts when my server is down?
Place it on a separate server, site, or small cloud/VPS instance with a different network path. Hosting it in the same failure domain as the monitored server can remove both the service and the alerting process.
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Network monitors require agent version 0.20.0 or later.
Why are Beszel hardware metrics missing?
Rootless containers may not expose temperature, fan, battery, GPU, ZFS, S.M.A.R.T., or systemd data. Check host visibility and privileges, then use the binary agent or documented additional configuration if those sensors are required.
Does Uptime Kuma require Node.js?
The non-Docker installation requires Node.js 20.4 or newer, Git, and PM2. Docker and Docker Compose installation methods are also documented.
Can I run only one monitor?
Yes. Choose Kuma for reachability and user-facing uptime, Beszel for internal resource and hardware health, or both when you need independent outage detection plus diagnosis.
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Choose Uptime Kuma for reachability, Beszel for infrastructure health, and both for complete coverage. Keep the Kuma prober outside the monitored service’s failure domain, and use Beszel agents to explain resource, container, storage, and hardware problems.
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