This Go Analysis Tool is a powerful and versatile application designed to analyze various aspects of your Go applications. It leverages popular monitoring tools such as DataDog, Prometheus, and Grafana to provide real-time insights into the performance, resource utilization, and behavior of your Go applications.
- Real-time Monitoring: Utilize DataDog, Prometheus, and Grafana to monitor your Go applications in real-time, gaining valuable insights into their performance and resource usage.
- Customizable Dashboards: Create custom dashboards in Grafana to visualize the metrics that matter most to you and your team.
- Alerting: Set up alerts in DataDog or Prometheus to receive notifications when critical thresholds are breached, ensuring proactive issue resolution.
- Historical Data Analysis: Analyze historical data to identify trends and patterns in your application's performance, helping you make data-driven decisions.
- Easy Integration: Seamlessly integrate this tool into your existing Go applications with minimal configuration.
To get started, follow these steps:
- Clone this repository to your local machine:
git clone https://github.com/swarajkumarsingh/go-analysis-tools.git- Install the required dependencies:
go mod tidy- Configure DataDog, Prometheus, and Grafana to collect and visualize metrics from your Go application.
- Build and run the Go Analysis Tool:
go build -o analysis-tool
./analysis-tool- Run Prometheus
docker run -d -p 9090:9090 -v $(pwd)/prometheus.yml:/etc/prometheus/prometheus.yml prom/prometheus- Run Grafana
docker run -d --name=grafana -p 3000:3000 grafana/grafana-enterpriseContributions are welcome! If you have ideas for improvements or new features, please open an issue or submit a pull request. Make sure to follow our code of conduct.
This project is licensed under the MIT License - see the LICENSE file for details.
Thanks to the Go community for their support and contributions.
For questions or support, please contact sswaraj169@gmail.com.