Integrate DevOps KPI Collector in Slack
with Axolo

DevOps KPI Collector is a GitHub application that enables continuous improvement practices across the whole DevOps landscape. It collects statistics and generates DevOps KPI reports in Grafana, an open-source platform for data visualization and monitoring. The application requires read-only access to the information of your personal repositories to retrieve data at a certain frequency. After authorizing the app and selecting the repositories you want to monitor, the backend logic will retrieve your data from the selected repositories.

To access the Grafana Dashboard for GitHub KPI, you need to sign in with your GitHub credentials. The dashboard provides an overview of six metrics, including Pull Request, Lead Time, Change Failure Rate, Deployment Frequency, and Mean Time to Restore. You can go deep with each metric except Availability, which is currently being worked on.

The application is designed to help organizations monitor and improve their DevOps practices by providing them with valuable insights into their performance. With DevOps KPI Collector, you can easily track your progress over time and identify areas for improvement. It is a powerful tool for any organization looking to optimize their DevOps processes and achieve continuous improvement.

- Read-only access to personal repository information
- Select repositories to monitor
- Authorization process for app
- Automatic backend logic for data retrieval
- Data retrieval at certain frequency
- Grafana Dashboard for GitHub KPI
- Sign in with GitHub credentials
- Dashboard list
- Test Data Management for better visualization
- 6 metrics: Pull Request, Lead Time, Change Failure Rate, Deployment Frequency, Mean Time to Restore
- Availability metric being worked on
- Organization view limited to Organization Admin

The pricing for DevOps KPI Collector is free.

Integrating DevOps KPI Collector in Slack with Axolo is beneficial because it allows engineers to have access to important DevOps KPI reports and metrics directly within their workflow, making it easier to monitor and improve their performance.