How to Use Grafana’s Flowcharting Panel to Visualize Data

What Is the Flowcharting Panel?

The Flowcharting panel is a relatively new visualization option in Grafana that lets you turn metric streams into interactive diagrams. Instead of static graphs, you can map relationships, state machines, or network topologies directly on a canvas. It’s especially handy when you need to see how components influence each other in real time.

Getting the Panel Up and Running

First, make sure your Grafana instance is version 9 or later – the Flowcharting plugin was bundled from that release onward. If you’re on an older build, head to the Plugins catalog, search for “Flowcharting,” and install it with a single click. After installation, reload Grafana and you’ll find a new panel type under the “Visualization” dropdown.

When you add the panel to a dashboard, you’ll be greeted by a clean canvas and a sidebar of options. The panel doesn’t demand any special data source; it works with anything Grafana can query – Prometheus, InfluxDB, Elasticsearch, you name it. The trick is to shape the query so that the result contains the fields the panel expects: a source, a target, and optionally a value that can drive colors or line thickness.

Structuring Your Data for Flowcharts

Think of each row returned by your query as an edge in a graph. For example, a Prometheus query like rate(http_requests_total[5m]) can be transformed with a label‑replace function to produce a source (service A) and a target (service B). The value field could be the request rate, which the panel can map to line width.

• Source column: the node where the connection starts.
• Target column: the node where the connection ends.
• Value column (optional): numeric data that influences visual cues.

If your data set lacks a clear target, you can still use the panel to display node‑centric metrics by treating the same field as both source and target – the panel will render a self‑loop that can be styled as a gauge.

Designing Nodes and Edges

The sidebar lets you define node templates. You can assign an icon, a background color, and a label pattern that pulls directly from your metric labels. For instance, using {{service}} in the label field will automatically display the service name on each node.

Edges are equally customizable. You can map the value to line thickness, choose a gradient color, or even switch the line style based on a threshold. This means a spike in latency could instantly turn a line from green to red, drawing attention to a bottleneck.

Conditional Formatting and Alerts

One of the panel’s strongest features is conditional formatting. By defining rules such as “if value > 80 % then line = red,” you give the diagram a built‑in health indicator. These rules are evaluated on each refresh, so the flowchart becomes a live status board.

If you combine this with Grafana’s alerting engine, the panel can serve as a visual acknowledgment of an alert. When an alert fires, you can configure the edge or node to pulse, flash, or display a badge, turning a plain diagram into an actionable monitoring surface.

Performance Tips for Large Graphs

When you start charting dozens or hundreds of nodes, performance can wobble. Here are a few practical tweaks:

• Limit the time range of queries to the most recent window – the panel redraws on each refresh.
• Use aggregation functions (e.g., sum or avg) to collapse many similar edges into a single representative line.
• Enable “Simplify Paths” in the panel settings; this reduces the number of SVG points rendered.
• Consider breaking a massive topology into multiple panels, each focusing on a logical sub‑system.

These steps keep the UI responsive even on modest browsers.

Real‑World Use Cases

Enterprises have found the Flowcharting panel useful in several scenarios. A microservices architecture can be visualized to spot circular dependencies; a CI/CD pipeline can be drawn to monitor job statuses; and network engineers can map switch‑to‑router relationships, highlighting packet loss with red edges.

Because the panel is data‑driven, you can swap out the underlying source without rebuilding the diagram. Switch from Prometheus to Loki, and the same node definitions will now reflect log‑derived events instead of metrics.

Exporting and Sharing Your Diagrams

Grafana lets you export the panel as an SVG or PNG, which is handy for documentation or incident reports. You can also embed the panel in an external site using the share dialog – just copy the iframe snippet and paste it wherever you need a live view.

FAQ

Can I use the Flowcharting panel with multiple data sources at once?

Yes. Grafana’s query editor lets you create a mixed query that pulls fields from different sources, as long as the final result includes the required source/target columns.

Is there a limit to the number of nodes I can display?

There’s no hard‑coded limit, but browsers start to lag when the SVG contains thousands of elements. Applying aggregation or splitting the graph into smaller panels is the recommended workaround.

How do I make nodes react to click events?

The panel supports URL links on nodes. In the node template, set the clickUrl field to a Grafana dashboard or an external page; clicking the node will open the link in a new tab.

Do I need a license to use the Flowcharting panel?

The core Flowcharting panel is part of the open‑source Grafana distribution. However, some advanced templates and community plugins may be offered under commercial licenses.