Grafana vs Uptime Kuma

Grafana — strengths

• Visualises any metric you can scrape — Prometheus, InfluxDB, MySQL, PostgreSQL, Loki for logs, Tempo for traces
• Powerful alerting with multi-condition rules and templating
• Mature ecosystem of community dashboards (grafana.com/dashboards) for almost any service
• Multi-user with roles, teams, and granular folder permissions
• Long-term, scalable backend choices (Mimir, Thanos, Cortex) when you outgrow a single Prometheus

Grafana — weaknesses

• Requires a data-source stack to be useful
• Steeper learning curve
• Heavier overall footprint when you count the backend stack

Uptime Kuma — strengths

• Set up in under five minutes — Docker run, point it at your URLs, done
• Excellent default UI; status pages are publishable without extra tools
• 90+ built-in notification channels (Discord, Slack, Telegram, ntfy, Pushover, email, webhooks, etc.)
• Lightweight enough to run on a Pi alongside everything else
• MIT licensed — unambiguously open and reusable

Uptime Kuma — weaknesses

• Single-user, no native RBAC
• Not a metrics platform — only uptime and response times
• Status page customisation is limited

When Grafana fits

• SRE team running a Kubernetes cluster that needs CPU, memory, request-rate, p95-latency, and error-rate dashboards across 50 services: Grafana + Prometheus is the industry default for this exact use case.
• Operations team that wants to correlate logs, metrics, and distributed traces in one UI when debugging: Grafana + Loki + Tempo gives the unified view that no simple uptime monitor can.
• Homelab that runs Proxmox, several services, and wants per-VM CPU/RAM history along with service-specific dashboards: Grafana + node_exporter + cAdvisor scales here too.

When Uptime Kuma fits

• Homelab with a dozen services where you mostly want "is it up, am I getting paged when it isn't, can my family see a status page?": Uptime Kuma is the right tool, no Grafana stack required.
• Small business with a public website and a few APIs that needs an SLA-style status page for customers: Uptime Kuma's status pages are good-looking out of the box and embed-friendly.
• Quick deploy on a side project to confirm the production endpoint stays reachable: a one-container install gives you HTTPS-cert-expiry alerts, downtime notifications, and a status page in minutes.

Grafana gotchas

• Grafana on its own does not collect data — you need to deploy Prometheus, Loki, InfluxDB, or another data source first; budget for the full stack, not just Grafana
• Alerting was rebuilt in Grafana 8/9; legacy Grafana docs and tutorials may not match the current alerting model
• Dashboard sprawl is real — without naming conventions and folder structure, you end up with hundreds of half-broken dashboards
• Heavy footprint when you include the data sources: Grafana + Prometheus + Loki + node_exporter is closer to 1–2 GB total RAM

Uptime Kuma gotchas

• Single-user by default — no RBAC, so giving a teammate read-only access requires either sharing credentials or using a reverse proxy with auth in front
• Storage is SQLite by default; on monitors with 1-minute checks, the database grows fast — plan for periodic pruning or migrate to MariaDB for larger setups
• No metrics or dashboards beyond uptime / response-time history — for CPU, memory, or business metrics you still need something else
• Status pages are great, but the customisation is limited compared to a dedicated tool like Statping or commercial Statuspage

Choose Grafana when

Pick Grafana if you have or are willing to deploy a metrics / logs / traces backend, you need multi-user dashboards with RBAC, and you want one UI for all observability data. It is the right call when monitoring is the job, not a side concern.

Choose Uptime Kuma when

Pick Uptime Kuma if you just want to know whether your services are reachable, get notified when they are not, and optionally publish a status page — and you do not need a full metrics stack. Many setups run both: Uptime Kuma for blackbox checks, Grafana for the metrics that matter.

Migration

There is no migration path because they are not the same kind of tool. If you currently run Uptime Kuma and find you need real metrics and dashboards, add Grafana + Prometheus alongside it rather than replacing it. If you currently run Grafana and want a status page, add Uptime Kuma. The two are complementary, not competing.

Frequently asked questions

Are Grafana and Uptime Kuma alternatives to each other?

Not really. They overlap on "alert me when something is down," but Grafana is a visualisation layer for any time-series data, while Uptime Kuma is a focused uptime monitor with a status page. Many homelabs run both.

Can I publish a status page from Grafana?

Yes, but it is not built in. You would either embed selected panels publicly or use a community plugin or a tool like statusgator. Uptime Kuma's status pages are simpler and look better out of the box.

Does Uptime Kuma do metrics graphs?

It records response time per check and shows the history, which covers basic latency monitoring. For CPU, memory, or business-metric graphs you still need Prometheus + Grafana or similar.

Which uses less hardware?

Uptime Kuma, by a wide margin. It runs on a Raspberry Pi without thinking about it. Grafana with a real data-source stack is closer to 1–2 GB RAM total.

Can I alert from Grafana to the same channels as Uptime Kuma?

Yes. Both support email, Slack, Discord, webhooks, Telegram, ntfy, Pushover, and many others. Grafana uses notifier configurations; Uptime Kuma has them per-monitor and per-status-page.

What about Prometheus AlertManager?

AlertManager handles deduplication, grouping, and routing of Prometheus-fired alerts. It is part of the Grafana / Prometheus stack and is not replaced by Uptime Kuma. Use AlertManager for metrics-based alerts; use Uptime Kuma's notifications for blackbox HTTP checks.

Should I use both?

Often, yes. Uptime Kuma gives quick reassurance and a public status page; Grafana gives the why-is-it-broken view when things go wrong. They are complementary at the homelab and small-business scale.