Best Self-Hosted Monitoring Tools in 2026
Quick Picks
| Use Case | Best Choice | Why |
|---|---|---|
| Best full monitoring stack | Grafana + Prometheus | Industry standard. Prometheus collects, Grafana visualizes. Thousands of community dashboards. |
| Best uptime monitoring | Uptime Kuma | Simple, beautiful, fast setup. Monitors HTTP, TCP, DNS, ping. Notification integrations. |
| Best all-in-one | Netdata | Zero-config monitoring with 800+ integrations. Real-time dashboards out of the box. |
| Best for enterprises | Zabbix | Scales to thousands of hosts. SNMP, IPMI, JMX. Template-based monitoring. |
The Full Ranking
1. Grafana + Prometheus — Best Full Monitoring Stack
Grafana and Prometheus together form the dominant monitoring stack in the self-hosting world. Prometheus scrapes metrics from your services at configurable intervals and stores them in a time-series database. Grafana connects to Prometheus (and dozens of other data sources) to build dashboards.
This combination is the industry standard for a reason: it’s flexible, battle-tested, and has the largest ecosystem of exporters, dashboards, and integrations.
Pros:
- Industry standard — massive community, thousands of pre-built dashboards
- Prometheus handles any scale (used by Kubernetes, cloud-native stacks)
- Grafana supports 50+ data sources beyond Prometheus
- Alerting built into both Grafana and Prometheus (Alertmanager)
- PromQL query language is powerful once learned
- Both are lightweight individually (~200-300 MB RAM each)
Cons:
- Two separate services to manage (plus exporters)
- PromQL has a learning curve
- Prometheus is pull-based — requires configuring scrape targets
- No built-in node/exporter setup (you add exporters per service)
- Grafana dashboard creation takes time (or use community dashboards)
Best for: Anyone serious about monitoring. Home labs with multiple services, production environments, anyone who wants professional-grade observability.
Read our full Grafana guide | Read our full Prometheus guide
2. Uptime Kuma — Best Uptime Monitor
Uptime Kuma does one thing extremely well: monitoring whether your services are up. Clean UI, easy setup, supports HTTP(S), TCP, HTTP keyword, DNS, ping, gRPC, and Docker container monitoring. Notifications via 90+ integrations (Telegram, Discord, Slack, email, webhooks).
Pros:
- Beautiful, intuitive web UI
- Single container, ~150 MB RAM
- 90+ notification integrations
- Status pages for public-facing uptime dashboards
- Maintenance windows
- Multi-language support
- Active development with frequent releases
Cons:
- Uptime monitoring only — no system metrics (CPU, RAM, disk)
- No metric collection or graphing
- SQLite backend limits scalability for very large deployments
- No API for programmatic configuration (web UI only)
Best for: Anyone who needs to know when services go down. Perfect complement to Grafana/Prometheus — Uptime Kuma monitors availability, Grafana monitors performance.
Read our full guide: How to Self-Host Uptime Kuma
3. Netdata — Best All-in-One Monitor
Netdata gives you real-time monitoring with zero configuration. Install it, and it immediately starts collecting 2,000+ metrics per second from your system. The built-in dashboard is beautiful and responsive. 800+ integrations detect and monitor services automatically.
Pros:
- Zero-config — auto-discovers services and starts monitoring
- Real-time (1-second granularity by default)
- 800+ integrations out of the box
- Beautiful built-in dashboard (no Grafana needed)
- Low resource usage for what it does (~100-200 MB RAM)
- Anomaly detection via machine learning
- Health monitoring with built-in alert templates
Cons:
- Requires
network_mode: hostand elevated privileges for full monitoring - Long-term storage requires Netdata Cloud or external DB (Prometheus, InfluxDB)
- Default data retention is limited (recent data only)
- Netdata Cloud features require a free account (optional but pushed)
- Less customizable than Grafana for dashboard creation
Best for: Quick deployment where you want instant visibility into system health. Excellent for home servers and small setups where you don’t want to configure Prometheus exporters.
4. Zabbix — Best for Large-Scale Enterprise Monitoring
Zabbix is enterprise-grade monitoring that scales to thousands of hosts. SNMP, IPMI, JMX, and custom agent-based monitoring. Template-based configuration makes it easy to add new hosts with standard monitoring. The web UI is comprehensive (if dated).
Pros:
- Scales to 10,000+ hosts
- SNMP v1/v2c/v3 support (network devices, printers, UPS)
- IPMI for hardware monitoring (temperatures, fan speeds)
- Template system — add a host and assign a template
- Auto-discovery of network devices
- Distributed monitoring with proxies
- Mature (20+ years of development)
Cons:
- Complex setup (server, database, web frontend, agents)
- Web UI feels dated compared to Grafana or Netdata
- Higher resource requirements (PostgreSQL + Java for JMX)
- Steep learning curve for configuration
- Overkill for home labs with a few hosts
Best for: Users monitoring network infrastructure (routers, switches, NAS, UPS) via SNMP. Not recommended for simple home lab setups — use Netdata or Grafana/Prometheus instead.
5. Beszel — Lightweight Docker Monitoring
Beszel is a newer, lightweight monitoring tool specifically designed for Docker environments. It monitors container resource usage (CPU, RAM, network, disk I/O) with a clean, modern web UI. Minimal resource footprint.
Pros:
- Purpose-built for Docker container monitoring
- Extremely lightweight (~50 MB RAM)
- Modern, clean UI
- Simple setup (single binary + Docker socket)
- Real-time container stats
Cons:
- Docker-only — no system-level monitoring
- Smaller community and ecosystem
- Fewer alerting integrations
- Limited long-term data retention
- Newer project — less battle-tested
Best for: Users who primarily want to monitor their Docker containers without the overhead of a full monitoring stack.
Full Comparison Table
| Feature | Grafana + Prometheus | Uptime Kuma | Netdata | Zabbix | Beszel |
|---|---|---|---|---|---|
| Monitoring type | Metrics + alerting | Uptime only | Metrics + alerting | Full stack | Container metrics |
| Setup complexity | Medium | Easy | Easy | Hard | Easy |
| RAM usage | ~500 MB (both) | ~150 MB | ~200 MB | ~1 GB+ | ~50 MB |
| Containers needed | 2+ | 1 | 1 | 3+ | 1 |
| Custom dashboards | Yes (best-in-class) | No | Limited | Yes | No |
| SNMP support | Via exporter | No | Yes | Yes (native) | No |
| Notification integrations | Many | 90+ | Many | Many | Limited |
| Long-term storage | Yes | No | External DB needed | Yes | Limited |
| Auto-discovery | No | No | Yes | Yes | Docker only |
| Community size | Very large | Large | Large | Very large | Small |
| Real-time (1s) | Configurable | No (intervals) | Yes | No | Yes |
| Learning curve | Medium | Low | Low | High | Low |
| License | AGPL-3.0 / Apache-2.0 | MIT | GPL-3.0 | GPL-2.0 | MIT |
Recommended Stack Combinations
Home lab (5-15 services): Uptime Kuma + Netdata. Uptime Kuma monitors availability and sends alerts. Netdata provides real-time system dashboards. Total RAM: ~350 MB.
Serious home lab (15+ services): Grafana + Prometheus + Uptime Kuma. Prometheus collects detailed metrics. Grafana builds custom dashboards. Uptime Kuma handles uptime alerts. Total RAM: ~650 MB.
Production/enterprise: Grafana + Prometheus + Zabbix (for SNMP devices) + Uptime Kuma (for public-facing status pages).
How We Evaluated
We evaluated each tool on: ease of setup, out-of-box value, customizability, alerting capabilities, resource usage, community size, and long-term data storage. Grafana + Prometheus ranks #1 because no other combination offers the same depth of customization and ecosystem support. Uptime Kuma ranks #2 because uptime monitoring is the most common need and it does it perfectly.
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