Checkmk started as a Nagios plugin in 2008 and has evolved into a standalone infrastructure monitoring platform that discovers hosts, checks services, and sends alerts — all from one package. Grafana is a visualization layer that turns time-series data from sources like Prometheus, InfluxDB, or Loki into dashboards and alerts. They solve different problems, and understanding the distinction matters before you deploy either.
Quick Overview
| Aspect | Checkmk Raw | Grafana OSS |
|---|---|---|
| Purpose | Infrastructure monitoring (all-in-one) | Data visualization & dashboarding |
| Latest version | 2.3.0p44 | v12.4.1 |
| Docker image | checkmk/check-mk-raw:2.3.0p44 |
grafana/grafana-oss:12.4.1 |
| License | GPL-2.0 (Raw Edition) | AGPL-3.0 |
| Built-in data collection | Yes — agent-based + SNMP + agentless | No — requires external data sources |
| Service auto-discovery | Yes | No |
| Built-in alerting | Yes (rules + notifications) | Yes (alert rules + contact points) |
| Built-in dashboards | Yes (pre-built per service) | Yes (community dashboards + custom) |
| Host/service check engine | Yes (Nagios-compatible core) | No |
| Default port | 5000 (web UI), 8000 (agent receiver) | 3000 |
| RAM usage | ~1-2 GB | ~200-400 MB |
Feature Comparison
| Feature | Checkmk Raw | Grafana OSS |
|---|---|---|
| Agent deployment | Built-in agent (Linux, Windows, macOS) | N/A (no agents) |
| SNMP monitoring | Built-in | Via Prometheus SNMP exporter |
| Network device monitoring | Built-in (switches, routers, firewalls) | Via external exporters |
| Log aggregation | Basic (via agent) | Via Loki integration |
| Metrics storage | Built-in RRD | External (Prometheus, InfluxDB, etc.) |
| Custom check scripts | Yes (local checks, MRPE) | N/A |
| API | REST API | REST API |
| LDAP/SSO | Yes | Yes |
| Mobile app | No official app | Grafana Cloud mobile app |
| Plugin ecosystem | Check plugins (~2,000 in exchange) | Data source + panel plugins (hundreds) |
| Multi-site support | Yes (distributed monitoring) | Via data source federation |
| Uptime monitoring | Built-in | Via external tools or plugins |
Architecture
Checkmk is a complete monitoring stack. It includes:
- A monitoring core (CMC in Enterprise, Nagios in Raw)
- Agent framework for data collection
- Service discovery engine
- Check processing pipeline
- Notification system
- Web UI with pre-built dashboards
- RRD-based metrics storage
You install Checkmk, deploy agents on your hosts, and monitoring starts automatically. The agent sends data to the Checkmk server, which processes checks, stores metrics, and fires alerts — no additional tools needed.
Grafana is a visualization layer. It needs external systems for everything:
- Data collection → Prometheus, Telegraf, or other collectors
- Metrics storage → Prometheus, InfluxDB, VictoriaMetrics
- Log storage → Loki, Elasticsearch
- Alerting → Grafana's built-in alerting or Alertmanager
A production Grafana monitoring stack typically runs 3-5 containers (Grafana + Prometheus + node_exporter + optional Loki + optional Alertmanager). Grafana itself just renders dashboards.
Installation Complexity
| Step | Checkmk | Grafana (with Prometheus) |
|---|---|---|
| Containers needed | 1 | 3+ (Grafana + Prometheus + exporters) |
| Time to first dashboard | ~15 minutes | ~30-60 minutes |
| Agent deployment needed | Yes (on monitored hosts) | Yes (node_exporter on hosts) |
| Auto-discovery | Yes — discovers services automatically | No — manual target config |
| Configuration language | Web UI (WATO) | YAML (Prometheus) + Web UI (Grafana) |
| Dashboard creation | Pre-built per service type | Manual or import community dashboards |
Checkmk is faster to get running for infrastructure monitoring. You add a host in the web UI, deploy the agent, and Checkmk auto-discovers services (CPU, disk, memory, network, running processes, Docker containers). Pre-built dashboards appear automatically.
Grafana requires more assembly. You configure Prometheus scrape targets in YAML, deploy exporters, then build or import dashboards. The flexibility is greater, but the initial setup time is higher.
Performance and Resource Usage
| Metric | Checkmk Raw | Grafana + Prometheus |
|---|---|---|
| RAM (10 hosts) | ~800 MB - 1 GB | ~500-800 MB total |
| RAM (100 hosts) | ~1.5-2 GB | ~1-2 GB total |
| CPU | Moderate (check processing) | Low (Grafana) + Moderate (Prometheus) |
| Disk (metrics retention) | ~50 MB/host/year (RRD) | ~100+ MB/host/year (Prometheus TSDB) |
| Check interval | Default 60s | Default 15s (Prometheus scrape) |
Checkmk uses more RAM as a single process because it handles everything. The Grafana+Prometheus stack distributes load across multiple containers but uses comparable total resources.
Monitoring Approach
Checkmk uses a check-based model. It runs checks against services (Is the disk full? Is the service running? Is the CPU overloaded?) and returns OK/WARN/CRIT/UNKNOWN states. This maps directly to traditional infrastructure monitoring — you see green/yellow/red status at a glance.
Grafana uses a metrics-based model. Prometheus scrapes numeric time-series data (cpu_usage_percent=73.2 at timestamp T), and Grafana visualizes trends. You define alert thresholds on metrics, but the default view is graphs and dashboards, not service states.
Both approaches work. Checkmk's state-based view is better for ops teams who need "is everything OK?" at a glance. Grafana's time-series view is better for engineering teams who want to understand trends and correlate metrics.
Use Cases
Choose Checkmk If...
- You need traditional infrastructure monitoring (servers, switches, printers)
- You want auto-discovery of services without manual configuration
- You monitor Windows servers alongside Linux (Checkmk has a native Windows agent)
- You prefer a single application over assembling a monitoring stack
- Your priority is uptime and alerting, not custom dashboards
Choose Grafana If...
- You want beautiful, customizable dashboards
- You already run or plan to run Prometheus
- You need to visualize data from multiple sources (databases, cloud APIs, custom apps)
- You monitor containerized/Kubernetes workloads
- You want fine-grained control over metrics collection and retention
Use Both If...
- You want Checkmk's auto-discovery and state-based monitoring AND Grafana's visualization
- Checkmk supports Grafana integration via its REST API and InfluxDB export
Final Verdict
If you need infrastructure monitoring and don't want to assemble a multi-tool stack, Checkmk is the right tool. It handles host discovery, service checks, alerting, and basic dashboards in one package. Deploy the agent, add your hosts, and monitoring works.
If you need flexible visualization, custom dashboards, or you're monitoring application-level metrics alongside infrastructure, Grafana with Prometheus is more powerful. The trade-off is complexity — you're building and maintaining a stack, not deploying a single tool.
For home server monitoring with 5-20 hosts, Checkmk gets you running faster. For larger environments or teams that want deep observability, the Grafana ecosystem scales further.
Frequently Asked Questions
Can Checkmk export data to Grafana?
Yes. Checkmk can export metrics to InfluxDB, which Grafana reads as a data source. The Checkmk REST API also provides performance data that Grafana can query directly.
Is Checkmk Raw Edition really free?
Yes. The Raw Edition is GPL-2.0 licensed with no host limits. The Enterprise and Cloud editions add features like the Checkmk Micro Core (faster), advanced dashboards, and managed services.
Can Grafana replace Checkmk entirely?
Not on its own. Grafana doesn't collect data or run service checks. With Prometheus + Alertmanager + exporters, you can replicate most of Checkmk's functionality — but you're assembling 4-5 tools to do what Checkmk does in one.
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