Every self-hoster eventually asks the same question: “Is my server OK right now?”
The answer used to require setting up Prometheus, node_exporter, cAdvisor, and Grafana. Four components, YAML config files, PromQL queries, and a few hours of dashboard building before you could see a single CPU graph.
In 2026, there are simpler options. Here are 7 tools that actually work, what each costs in RAM and setup time, and which combination makes sense for your setup. (Updated April 2026.)
Beszel - The Lightweight Default
Beszel is a server monitoring tool built as a single Go binary. It tracks CPU, memory, disk, network, and Docker container stats with a clean web dashboard.
Why it’s popular: The agent uses under 10MB of RAM. Compare that to Netdata (200-500MB) or a full Grafana stack (500MB+). On a Raspberry Pi or cheap VPS, that difference matters.
Setup time: Under 5 minutes. Deploy the hub, run the agent on each server with a single command, and monitoring starts immediately. No configuration files, no query languages, no dashboard building.
What it monitors: CPU, memory, disk, network, temperature, GPU usage, and per-container Docker stats (CPU, memory, network). It stores historical data so you can look back days or weeks.
What it doesn’t do: No custom metrics, no log aggregation, no AI anomaly detection. The dashboard layout is fixed - you can’t build custom charts. If you need PromQL queries or custom data sources, Beszel isn’t the right tool.
Best for: Homelabs, small VPS fleets, Docker-heavy setups, and anyone who wants server monitoring without the complexity. You can deploy Beszel on InstaPods in one click for $3/mo.
Netdata - The Deep Metrics Platform
Netdata is the opposite end of the spectrum. It collects over 2,000 metrics at one-second resolution with AI-powered anomaly detection.
Resource cost: Netdata agents use 200-500MB of RAM per node. The Netdata Cloud free tier limits you to 5 nodes. Beyond that, the Pro plan costs $5 per node per month.
Setup time: 10-15 minutes for the agent install. Cloud signup adds another 5-10 minutes. Customizing alerts and dashboards requires editing YAML configuration files.
The overwhelm problem: Netdata shows 2,000+ charts by default. For most self-hosters who just want to know “is my CPU OK and is Docker behaving,” this is information overload. You’re scrolling through charts you’ll never look at to find the three metrics you actually care about.
Best for: Teams that need deep observability, one-second resolution, or AI anomaly detection across complex infrastructure. If you’re running a production SaaS with 50+ nodes, Netdata’s depth is genuinely useful.
Dozzle - The Docker Log Viewer
Dozzle solves a completely different problem: reading Docker container logs. It’s not a metrics tool - it’s a log viewer with a web UI.
What it does: Streams real-time logs from all your Docker containers in a clean interface. Supports regex search, JSON log auto-detection, and multi-host viewing. It can also query logs with SQL using DuckDB under the hood.
What it doesn’t do: No CPU/memory/disk metrics. No historical metric graphs. No threshold alerts for resource usage. If a container is silently eating all available RAM without logging about it, Dozzle won’t catch it.
Why it pairs with Beszel: This is the most common self-hosted monitoring stack in 2026: Beszel for metrics (“something is using too much CPU”) and Dozzle for logs (“let me read the error messages to find out why”). Both are lightweight, both take minutes to set up, and together they replace what used to require Grafana + Prometheus + Loki.
Best for: Anyone running Docker containers who needs to quickly check logs without SSH-ing into the server and running docker logs.
Grafana + Prometheus - The Enterprise Standard
The Grafana + Prometheus stack is still the gold standard for production monitoring. It’s infinitely customizable, supports thousands of data sources, and powers monitoring at companies like Spotify and GitLab.
The cost: A full monitoring stack needs Prometheus (scraping), node_exporter (host metrics), cAdvisor (Docker), and Grafana (visualization). That’s four components, each with its own configuration. Total RAM: 500MB-1GB+ depending on cardinality. Setup time: 2-8 hours for a working dashboard.
Grafana Cloud: Starts free with 10,000 active metrics series. A single server with Docker can generate 5,000+ series. Monitor 3 servers and you’re into the paid tier at $8 per 1,000 series - easily $120/mo for 5 Docker hosts.
When it makes sense: If you need custom dashboards, PromQL queries, alerts routed to PagerDuty, or metrics from 15 different data sources in one view - Grafana is the right choice. For everyone else, it’s overkill.
Best for: Production infrastructure teams, SREs, and anyone who considers PromQL a feature rather than a barrier. Compare Beszel vs Grafana Cloud for a detailed breakdown.
Proxmox Pulse - The Proxmox Specialist
Pulse is a real-time monitoring dashboard built specifically for Proxmox VE. If you run Proxmox, it gives you instant visibility into nodes, VMs, and LXC containers that Proxmox’s built-in tools don’t provide well.
What makes it different: WebSocket-based updates give near-instant feedback - no polling delays. It auto-discovers all your VMs and containers. The Pro tier ($9/mo) adds AI-powered diagnostics and auto-remediation.
The limitation: It only works with Proxmox. If you have any non-Proxmox servers - a Docker VPS, a Raspberry Pi, a cloud VM - Pulse can’t monitor them. You’d need a second tool anyway.
Best for: Pure Proxmox environments where you want deeper VM/LXC visibility than Beszel or Netdata provide. Compare Beszel vs Pulse for a detailed breakdown.
Glances - The Terminal Power Tool
Glances is a cross-platform system monitoring tool written in Python. It runs in the terminal and shows CPU, memory, disk, network, processes, and sensor data in a single view.
What makes it different: Glances goes deeper than most tools on per-process metrics. See exactly which process is eating CPU or memory, sorted in real-time. It also reads hardware sensors (temperature, fan speed, voltage) that Beszel and Dozzle don’t touch.
The trade-off: Glances is terminal-first. There’s a web UI mode (glances -w), but it’s basic. No multi-server dashboard, no built-in historical data (needs InfluxDB export), and 50-100MB RAM - not heavy, but 5x more than Beszel.
Best for: SSH-heavy workflows where you want a quick htop replacement with more data. Pairs well with Beszel for always-on monitoring while Glances handles ad-hoc debugging. Compare Beszel vs Glances for a detailed breakdown.
Uptime Kuma - The Availability Monitor
Uptime Kuma solves a different problem than the tools above: it monitors whether your services are reachable. HTTP, TCP, DNS, ping, Docker, gRPC, MQTT - if it has an endpoint, Uptime Kuma can monitor it.
Why it’s essential: Server metrics tools like Beszel tell you how your servers are performing. Uptime Kuma tells you if your services are accessible. A server at 10% CPU is meaningless if your website is returning 502s because of a misconfigured proxy.
The feature set: 90+ notification channels, built-in status pages, maintenance windows, SSL certificate monitoring, and check intervals down to 20 seconds. All for ~30-50MB of RAM.
Best for: Anyone who needs to know when their website, API, or service goes down. Deploy Uptime Kuma on InstaPods for $3/mo. Compare Beszel vs Uptime Kuma to understand how they complement each other.
Monitoring Stack Combinations
Most self-hosters don’t need just one tool. Here are the most effective combinations:
The Lightweight Stack (< 20MB RAM): Beszel + Dozzle. Server metrics + Docker logs. Covers 90% of monitoring needs for homelabs and small VPS fleets. Total cost: $3/mo on InstaPods.
The Complete Stack (< 80MB RAM): Beszel + Dozzle + Uptime Kuma. Add endpoint availability monitoring and status pages. Know when something breaks AND why. Total cost: $6/mo on InstaPods.
The Proxmox Stack: Beszel + Proxmox Pulse. Beszel for Docker hosts and general servers. Pulse for VM-level Proxmox visibility. Best of both worlds.
The Enterprise Stack (500MB+ RAM): Prometheus + Grafana for custom metrics and PromQL. Only if you need custom dashboards, multi-datasource views, or complex alerting rules.
Which Should You Choose?
Here’s the decision tree:
Just want basic server monitoring? Start with Beszel. It covers 90% of what most self-hosters need with minimal resources.
Need Docker logs too? Add Dozzle alongside Beszel. Together they cost less than 20MB of RAM and give you metrics + logs.
Running Proxmox? Add Pulse for VM-level detail. Use Beszel for your non-Proxmox servers.
Need deep observability? Use Netdata if you want one-second resolution and AI anomaly detection. Use Grafana if you need custom dashboards and PromQL.
Want the simplest path? Deploy Beszel on InstaPods for $3/mo - one click, no server management required.
Resource Usage Comparison
| Tool | RAM per Agent | Metrics Resolution | Setup Time | License | Detailed Comparison |
|---|---|---|---|---|---|
| Beszel | <10MB | 1 minute | 5 min | MIT | - |
| Netdata | 200-500MB | 1 second | 15 min | GPL v3+ | vs Beszel |
| Dozzle | ~10MB | Real-time (logs) | 2 min | MIT | vs Beszel |
| Glances | 50-100MB | Real-time | 2 min | LGPL v3 | vs Beszel |
| Uptime Kuma | 30-50MB | 20s-5min | 5 min | MIT | vs Beszel |
| Grafana + Prometheus | 500MB-1GB+ | 15 seconds | 2-8 hours | AGPL/Apache | vs Beszel |
| Proxmox Pulse | ~50MB | Real-time (WebSocket) | 5 min | MIT | vs Beszel |
The monitoring landscape has shifted. You don’t need a 4-component stack to answer “is my server healthy.” Start lightweight, add complexity only when you need it.
Deploy Beszel on InstaPods - one click, $3/mo, monitoring in 5 minutes.
Related reading:
- Beszel vs Prometheus + Grafana - lightweight vs enterprise monitoring
- Beszel vs Grafana Cloud - self-hosted vs hosted monitoring costs
- Beszel vs Netdata - lightweight vs deep observability
- Beszel vs Glances - web dashboard vs terminal monitoring
- n8n Pricing: Cloud vs Self-Hosted - if you’re self-hosting apps, compare the real costs
- Deploy Without DevOps - get apps running without server management