Self-Host Uptime Monitoring on UK VPS: Uptime Kuma vs Gatus vs Netdata 2026 Setup Guide

If your website or API goes down at 3am, would you know before your customers did? Running your own monitoring stack gives you fast, private, unlimited alerts without paying per-check fees to a third party. In this guide we compare three of the best open-source tools to self-host uptime monitoring on a UK VPS — Uptime Kuma, Gatus and Netdata — with copy-paste Docker install steps and clear advice on which one fits your setup.

What Is Self-Hosted Uptime Monitoring?

Self-hosted uptime monitoring means running the monitoring software on your own server rather than relying on a hosted SaaS platform like UptimeRobot or Pingdom. The tool periodically checks whether your endpoints respond correctly — an HTTP status code, a TCP port, a ping, or a specific string in the response body — and records the result over time. When a check fails, it fires an alert through a channel you control.

There are two broad categories worth understanding. External uptime checkers (Uptime Kuma and Gatus) test your services from the outside, the same way a visitor would, and publish a public status page. Host-metric agents (Netdata) sit on the machine itself and report per-second telemetry such as CPU load, memory pressure and disk I/O. The two categories complement each other: one tells you that something is down, the other helps explain why.

Why Monitor Your Own UK VPS

Free SaaS monitoring tiers are convenient but limited — they cap the number of monitors, throttle check intervals to five minutes, and keep your uptime history behind a paywall. Hosting the tooling yourself removes those limits and keeps sensitive infrastructure data on servers you own, which matters if you handle UK or EU customer data.

• No per-check pricing — monitor unlimited endpoints as often as every 20 seconds.
• Data residency — logs and metrics stay on your UK VPS rather than a foreign SaaS backend.
• Internal visibility — check private services and localhost ports a public prober can never reach.
• Faster diagnosis — pair alerts with your own server logs to find the root cause in minutes.

Running the monitor on a small, separate box is ideal so it stays up when your main application host fails. A modest UK VPS — even one or two vCPUs with 2GB of RAM — is more than enough for any of these tools, and keeping the prober close to your users in Britain gives realistic latency figures. If you are still weighing hosting models, our guide on managed vs unmanaged VPS hosting explains where monitoring responsibility sits.

Uptime Kuma vs Gatus vs Netdata: Overview

Before touching the terminal, it helps to see how the three tools differ in purpose. Uptime Kuma and Gatus both answer “is my endpoint up?” and publish status pages, but Kuma is UI-driven while Gatus is configuration-driven. Netdata answers a different question entirely — “what is happening inside my server right now?” — with thousands of real-time metrics.

In practice many teams run two of these together: an external checker for uptime and status pages, plus Netdata underneath for the metrics that explain outages. We will install each in turn.

How to Install Uptime Kuma on UK VPS

Uptime Kuma is the most beginner-friendly option: a polished web interface, no config files, and support for HTTP(s), TCP, ping, DNS, Docker container health and push/heartbeat monitors. It ships with more than 90 notification integrations including Telegram, Discord, email and generic webhooks. The fastest way to run it is a single Docker command.

docker run -d --restart=always -p 3001:3001 
  -v uptime-kuma:/app/data 
  --name uptime-kuma louislam/uptime-kuma:1

That starts Kuma on port 3001 with a named volume so your data survives container restarts. Open http://your-server-ip:3001 in a browser, create the admin account on first load, then click Add New Monitor to define your first check — pick the type, enter the URL or host, set the interval, and save. Uptime Kuma begins recording heartbeats immediately.

For production you should put Kuma behind a reverse proxy with HTTPS rather than exposing port 3001 directly. Terminate TLS at Nginx or Caddy, proxy to 127.0.0.1:3001, and restrict the dashboard with a firewall rule or basic auth. To keep the service alive across reboots outside Docker, wrap it in a unit as described in our guide to creating systemd services on a UK VPS.

How to Set Up Gatus for Status Pages

Gatus takes the opposite philosophy to Kuma: everything lives in a single declarative YAML file that you can commit to Git, review in pull requests and deploy through CI. This config-as-code approach makes it a favourite among developers who want their monitoring versioned alongside their infrastructure. Each endpoint defines conditions — expected status code, maximum response time, or expected body content — and the check passes only when all of them are met.

Create a config.yaml describing what to watch:

endpoints:
  - name: website
    url: "https://example.co.uk"
    interval: 60s
    conditions:
      - "[STATUS] == 200"
      - "[RESPONSE_TIME] < 500"
  - name: api-health
    url: "https://api.example.co.uk/health"
    interval: 30s
    conditions:
      - "[STATUS] == 200"
      - "[BODY].status == UP"

Then mount that file into the container and run it:

docker run -d --restart=always -p 8080:8080 
  -v "$(pwd)/config.yaml:/config/config.yaml" 
  --name gatus twinproduction/gatus

Gatus serves a clean, automatically generated status page at http://your-server-ip:8080 showing each endpoint’s recent results and response times. Because the whole configuration is one file, adding a new service is a one-line change and a redeploy — no clicking through a UI. This makes Gatus superb for teams that already treat infrastructure as code.

How to Deploy Netdata for Real-Time Metrics

Netdata is a different class of tool. Rather than probing endpoints from the outside, it runs as an agent on the host and collects thousands of metrics at one-second resolution: CPU per core, memory and swap, disk I/O, network throughput, and per-application resource use. Its auto-discovery detects services such as Nginx, MySQL and Docker with little or no configuration, then renders everything on a live, zoomable dashboard.

The quickest install is the official one-line kickstart script, which sets Netdata up as a native service:

wget -qO- https://get.netdata.cloud/kickstart.sh | sh

Prefer containers? Run the agent in Docker with read-only mounts so it can see host metrics:

docker run -d --name netdata --restart=always 
  -p 19999:19999 --cap-add SYS_PTRACE 
  -v netdataconfig:/etc/netdata 
  -v /etc/os-release:/host/etc/os-release:ro 
  -v /proc:/host/proc:ro -v /sys:/host/sys:ro 
  netdata/netdata

Browse to http://your-server-ip:19999 and the dashboard is populated instantly — no setup, no query language required. Because it exposes exactly where a slowdown originates, Netdata pairs beautifully with performance work such as chasing sub-100ms TTFB on UK WordPress. Note that Netdata is not an external uptime checker: it tells you the health of the box, not whether the outside world can reach your site, so most people run it alongside Kuma or Gatus rather than instead of them.

Configure Alerts and Notifications

Monitoring is only useful if it wakes the right person. All three tools support alerting, but they route it differently.

Uptime Kuma

Open Settings → Notifications, add a channel (Telegram, Discord, email/SMTP, Slack, or a custom webhook), then attach it to individual monitors. Kuma sends both “down” and “recovered” messages and lets you set retry counts and a resend interval to avoid alert fatigue.

Gatus

Alerting is declared in the same YAML. Define an alerting provider, then reference it per endpoint with failure and success thresholds:

alerting:
  slack:
    webhook-url: "https://hooks.slack.com/services/xxx"

endpoints:
  - name: website
    url: "https://example.co.uk"
    conditions:
      - "[STATUS] == 200"
    alerts:
      - type: slack
        failure-threshold: 3
        success-threshold: 2
        send-on-resolved: true

Netdata

Netdata ships with hundreds of pre-configured health alarms — high CPU, low disk space, RAM pressure, service outages — that fire automatically. You can tune thresholds in the health configuration files and route notifications to email, Slack, Discord, PagerDuty and more via health_alarm_notify.conf. Because these alerts are threshold-based on host metrics, they catch problems (like a filling disk) before they cause downtime.

Choose the Right Monitoring Tool

There is no single winner — the right choice depends on what you are trying to see and how you like to work. Use the table below as a quick decision guide.

For most UK VPS owners the pragmatic answer is a combination: run an external checker for uptime and public status (Uptime Kuma if you prefer clicking, Gatus if you prefer code) and layer Netdata beneath it for real-time host telemetry. Both roles are lightweight enough to share a single small monitoring server. If you already run containers, dropping these into an existing stack is trivial — see our Docker Compose on UK VPS guide for a production-ready pattern you can extend.

Conclusion

Choosing to self-host uptime monitoring gives you unlimited checks, private data and faster diagnosis for a fraction of the cost of hosted SaaS. Uptime Kuma and Gatus watch your endpoints from the outside and publish status pages; Netdata reveals what is happening inside the box. Used together on a small, independent UK VPS, they give you a complete and resilient view of your infrastructure.

• Spin up a small, separate UK VPS to host your monitoring so it stays up when your app does not.
• Deploy Uptime Kuma or Gatus first for external checks and a status page.
• Add Netdata for per-second host metrics and threshold alarms.
• Wire up notifications to Telegram, Slack or email and test that a failure actually reaches you.