The world of server monitoring is vast, with established giants like Prometheus and Grafana dominating the landscape. We even have an entire series on the Prometheus/Grafana combination, and we have explored using Prometheus with Grafana in our homelab as well as part of the Build your own homelab series. They offer powerful, flexible, and highly configurable solutions. But what if your needs are simpler? What if the complexity and resource footprint of these tools are overkill for your setup? Enter Beszel (beszel.dev), a relatively new player aiming to provide a straightforward, lightweight server monitoring experience.
Is Beszel a true Prometheus/Grafana replacement? Let’s dive in and explore what it offers.
What is Beszel and How Does It Work?
Beszel is an open-source, lightweight server monitoring platform designed with simplicity and ease of use at its core. It provides insights into your server’s performance, Docker/Podman container statistics, historical data, and alerting functionalities through a clean web interface.
The architecture of Beszel is straightforward, consisting of two main components:
- The Beszel Hub: This is the central web application, built on PocketBase. It acts as the dashboard where you can view and manage all your connected systems, analyze historical data, and configure alerts.
- The Beszel Agent: This lightweight agent runs on each server or system you want to monitor. It collects system metrics and communicates them securely to the Hub. Interestingly, the agent creates a minimal SSH server to facilitate this communication, offering a secure channel without complex configurations.
This hub-and-agent model allows for centralized monitoring of distributed systems with minimal overhead on the monitored machines.
Beszel’s Key Features
Beszel packs a decent set of features, especially considering its focus on being lightweight:
- Lightweight & Simple: This is Beszel’s main selling point. It’s designed to be less resource-intensive and easier to set up and manage compared to more complex solutions. No need for public internet exposure for basic operation.
- Server Monitoring: Tracks essential server metrics like CPU usage, memory usage (including swap and ZFS ARC), disk usage (multiple partitions/devices), disk I/O, network usage, and system temperature.
- Docker/Podman Container Stats: A significant plus for those running containerized applications. Beszel tracks CPU, memory, and network usage history for each container.
- GPU Monitoring: Offers support for monitoring GPU usage, temperature, and power draw for Nvidia and AMD cards (requires the binary agent).
- Configurable Alerts: Set up alerts for various thresholds related to CPU, memory, disk space, bandwidth, temperature, and overall system status. Notifications can be configured (e.g., email, with SMTP server setup).
- Historical Data: Stores and presents historical data, allowing you to track performance trends over time.
- User-Friendly Web Interface: Provides a clean and intuitive dashboard for visualizing metrics and managing monitored systems.
- Multi-User Support: Allows multiple users to manage their own systems. Administrators can also share systems across different users.
- Authentication: Supports OAuth/OIDC for secure login, and password authentication can be disabled if desired.
- Automatic Backups: Keep your monitoring data safe with automatic backups to disk or S3-compatible storage.
- REST API: Offers a REST API, enabling you to integrate Beszel data with your own scripts, applications, or other tools.
Beszel vs. Prometheus and Grafana: The Core Differences
While Beszel offers monitoring capabilities, it’s crucial to understand how it differs from the Prometheus and Grafana stack:
| Feature | Beszel | Prometheus | Grafana |
|---|---|---|---|
| Primary Goal | Simple, lightweight server & Docker monitoring with basic visualization | Robust time-series data collection, storage, and powerful querying (PromQL) | Rich data visualization, dashboarding, and exploration from various sources |
| Complexity | Low; easy setup and management | Moderate to High; requires understanding of its components and PromQL | Moderate; configuration depends on data sources |
| Resource Usage | Low | Medium to High, depending on scale | Low to Medium, depending on dashboard complexity and queries |
| Data Collection | Agent-based (pushes or hub pulls via agent’s SSH server) | Primarily pull-based (scrapes metrics from HTTP endpoints); supports push gateway | Relies on data sources like Prometheus, InfluxDB, Elasticsearch, etc. |
| Querying | Basic filtering and data exploration via UI | Powerful and flexible PromQL (Prometheus Query Language) | Utilizes the query languages of its connected data sources |
| Visualization | Integrated, clean, but less customizable | Basic built-in expression browser; primarily relies on Grafana for dashboards | Highly customizable and versatile dashboards with numerous panel types |
| Alerting | Built-in, configurable basic alerts | Powerful Alertmanager component with advanced routing and grouping | Can integrate alerts from data sources or define its own (depending on version) |
| Ecosystem | Smaller, focused | Large, mature ecosystem with many integrations and exporters | Extremely broad, supports a vast array of data sources and plugins |
| Scalability | Suited for small to medium setups | Can scale to very large environments (may require federation, sharding) | Scales well for visualization; performance depends on data source queries |
In essence:
- Prometheus is the powerhouse for metrics collection and alerting, offering deep insights with PromQL.
- Grafana is the master of visualization, capable of creating stunning and informative dashboards from virtually any data source.
- Beszel aims to provide a much simpler, all-in-one solution for essential server and container monitoring with less of a learning curve and resource demand.
Where Does Each Shine? Use Cases
Choose Beszel if:
- You need a simple, quick-to-set-up monitoring solution for personal servers, homelabs, or small to medium-sized applications.
- Your primary focus is on basic server health (CPU, memory, disk, network) and Docker/Podman container stats.
- You prefer an all-in-one solution with integrated data collection, storage, basic visualization, and alerting without juggling multiple tools.
- You have limited resources (CPU, memory) on the systems you want to monitor or the monitoring host itself.
- The learning curve for Prometheus/Grafana seems daunting for your current needs.
- You appreciate features like multi-user support and OAuth out-of-the-box for a small team.
Stick with or Choose Prometheus/Grafana if:
- You need highly detailed metrics from a wide array of applications, services, and infrastructure (e.g., Kubernetes, databases, message queues).
- Advanced querying and analysis with PromQL are essential for your operational insights.
- You require highly customizable and sophisticated dashboards with complex visualizations and data correlations.
- You need a robust, scalable alerting system with complex routing, silencing, and notification integrations (Prometheus’s Alertmanager).
- You’re dealing with large-scale, complex microservice architectures or cloud-native environments.
- You need to integrate with a broad ecosystem of exporters and other observability tools.
- Long-term data retention and analysis with powerful downsampling and aggregation are critical.
Prometheus and Grafana are often used together because their strengths are complementary. Beszel, on the other hand, offers a more integrated but less functionally deep experience.
Getting Started: Installing Beszel
Beszel offers flexibility in installing both its Hub and Agent components.
Beszel Hub Installation:
The Hub can be installed via:
- Docker/Podman: This is often the easiest way. Beszel provides
docker-compose.ymlexamples.
services:
beszel:
image: henrygd/beszel
container_name: beszel
restart: unless-stopped
ports:
- 8090:8090
volumes:
- ./beszel_data:/beszel_data- Single Binary:
- Linux Install Script: A convenient script downloads and installs the latest binary, setting up a systemd service:
curl -sL https://get.beszel.dev/hub -o /tmp/install-hub.sh && chmod +x /tmp/install-hub.sh && /tmp/install-hub.sh- Manual methods
- Manual Download: Download the prebuilt binary for your server’s architecture from the GitHub releases.
- Manual Compile: Compile from source if a prebuilt binary isn’t available or if you prefer.
Beszel Agent Installation:
The Agent offers even more installation options:
- Using the Hub UI: The recommended way to start. When adding a new system in the Beszel Hub web UI, it provides copy-paste commands (Docker Compose or binary install commands) tailored for that system.
- When the hub has been installed, click on Add System and you will get a screen that will explain how to get the agent installed either via Docker or via binary download.
Adding a new server to monitor in Beszel – Image credit: beszel.dev
- Docker/Podman: Similar to the hub, you can run the agent as a container. The Hub UI provides the necessary
docker-compose.ymlsnippets. - Single Binary:
- Linux Install Script: A script (
curl -sL https://get.beszel.dev -o /tmp/install-agent.sh && chmod +x /tmp/install-agent.sh && /tmp/install-agent.sh) installs the agent and can set up a service. It may require root privileges to create a user and service. - Manual Download: Download the binary for your OS/architecture.
- Manual Compile: Compile from source.
- Linux Install Script: A script (
- Package Managers:
- Homebrew (macOS)
- Scoop (Windows)
- Winget (Windows)
- Home Assistant Add-on: For users integrating with Home Assistant.
Always refer to the official Beszel documentation for the most up-to-date and detailed installation instructions.
Limitations and Things to Keep in Mind
While Beszel offers simplicity, this comes with certain trade-offs compared to more comprehensive solutions:
- Less Advanced Querying: Beszel does not feature a powerful query language like PromQL. Data exploration and analysis capabilities are more basic and UI-driven.
- Simpler Alerting: While it has alerts, they might not be as flexible or feature-rich as Prometheus’s Alertmanager in terms of routing, grouping, inhibition rules, or integration with diverse notification channels.
- Visualization Customization: The built-in dashboards are clean but offer less customization than Grafana’s extensive panel options and configurations.
- Scalability for Very Large Deployments: Beszel is designed to be lightweight and is likely best suited for small to medium-sized environments. For extremely large numbers of targets or very high metrics cardinality, a more robust solution like Prometheus might be necessary.
- Community and Ecosystem: Being a newer project, its community and the ecosystem of pre-built integrations (like exporters for various third-party software) will be smaller than that of Prometheus and Grafana.
- Depth of Metrics: While it covers common metrics and Docker stats, specialized monitoring for specific applications (e.g., detailed JVM metrics, specific database performance counters) might require more specialized collectors or exporters typically found in the Prometheus ecosystem.
- Data Retention and Storage: While it has backup options, advanced configurations for long-term storage, data tiering, or integration with various time-series databases might be more limited compared to Prometheus, which can be paired with solutions like Thanos or VictoriaMetrics for long-term storage.
It’s important to evaluate these points against your specific requirements. If your needs align with Beszel’s core strengths, these limitations may not be significant drawbacks.
Conclusion: Is Beszel Your Next Monitoring Tool?
Beszel carves out a niche for users who find the Prometheus/Grafana stack overly complex or resource-heavy for their needs. It’s not a direct one-to-one replacement for the full power and flexibility of Prometheus combined with Grafana, especially in large-scale or highly specialized environments.
However, Beszel is an excellent choice if you’re looking for:
- Simplicity and Ease of Use: Get up and running quickly with minimal configuration.
- Lightweight Footprint: Ideal for resource-constrained environments or smaller setups.
- Core Server and Docker/Podman Monitoring: If these are your primary concerns, Beszel provides a focused solution.
- An All-in-One Package: Data collection, storage, basic visualization, and alerting in a single tool.
- A User-Friendly Interface: Manage and view your systems without a steep learning curve.
For homelab enthusiasts, small development teams, or anyone needing straightforward server monitoring without the operational overhead of more complex systems, Beszel presents a compelling and refreshing alternative. It successfully lowers the barrier to entry for effective server monitoring, making it accessible to a broader audience. Give it a try at beszel.dev!