⚡ Grafana Data Source Plugin for Gcore FastEdge Statistics

The Gcore FastEdge Data Source Plugin allows you to connect Grafana directly to Gcore's FastEdge Statistics API — giving you deep insights into edge application performance, latency, and network usage in real time.

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🧠 What is the Gcore FastEdge Grafana Plugin?

Grafana provides a powerful way to visualize metrics from multiple data sources such as Prometheus, MySQL, and Datadog.
The FastEdge Plugin extends Grafana to pull performance data directly from the Gcore FastEdge Statistics API, enabling you to monitor your edge services with live charts and dynamic dashboards.

It's designed for developers, DevOps teams, and network engineers who need real-time visibility into edge workloads across global regions.

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Key Features

• Real-time performance & usage stats from Gcore's FastEdge platform
• Filter by App Name — view specific (optional)
• Network-aware insights — supports multiple networks (optional)
• Flexible granularity (step) — select any interval for time-series data
• Full Grafana variable support — build dynamic dashboards easily
• Interactive charts — instant updates with Grafana's time picker
• Secure API token authentication — no plain text credentials

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⚙️ Configuration

Add the Data Source

1. In Grafana, go to Connections → Data Sources → Add data source
2. Search for FastEdge Stats
3. Fill in the configuration fields:
   • API URL: Example.url
   • API Key: your personal or permanent token
4. Click Save & Test to verify the connection

Example Provisioning (YAML)

If you manage multiple Grafana environments or want to automate provisioning, use this example configuration:

apiVersion: 1

datasources:
  - name: FastEdge Stats
    orgId: 1
    type: gcorelabs-fastedge-datasource
    access: proxy
    isDefault: true
    editable: true
    version: 1
    jsonData:
      apiUrl: api.gcore.com
    secureJsonData:
      apiKey: 'apikey 1234$abcdef'

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📝 License

This project is licensed under the terms specified in the repository.

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.