Epic: integrate with our version control system and CI/CD tools

[Guidevit]

Task: Research and Choose Appropriate APIs for Integrating with the Version Control System and CI/CD Tools

Begin by reviewing the API documentation provided by your version control system (such as Git) and CI/CD tools (like Jenkins, CircleCI, or GitHub Actions). Determine if these APIs offer the necessary data you need for your metrics (deployment data, build status, etc.).
Consider the ease of integration provided by these APIs. Some factors to look at are SDK availability in your preferred language, detailed and comprehensive documentation, active community and support, and rate limits.
Once you have made an informed choice, document the chosen APIs for future reference and for sharing with the team.
Task: Set Up Integration with the Version Control System to Extract Deployment Data

Set up API calls to your version control system to fetch necessary deployment data. This may include commit information, branch details, and possibly merge events if they signify a deployment in your workflow.
Write a script or develop an application that periodically fetches this data. Make sure to handle API rate limits and potential errors effectively to ensure continuous data flow.
Task: Configure Integration with the CI/CD Tools to Retrieve Deployment Frequency and Change Failure Rate Information

Establish API calls to your CI/CD tools to gather data on build and deployment events. This data should include timestamps of deployments, whether the deployment was successful or not (for calculating change failure rate), and the associated code changes or commits.
Similar to the previous task, automate this data collection process to run at regular intervals. Exception handling and rate limit considerations apply here as well.
Task: Implement Data Processing Logic to Calculate Deployment Frequency and Change Failure Rate Metrics

Now, with the collected data, implement the logic for calculating deployment frequency and change failure rate metrics. Deployment frequency could be as simple as counting the number of deployments over a certain time period. Change failure rate could be calculated as the number of failed deployments over the total number of deployments.
Depending on your needs, you may want to consider factors like deployment environments (staging, production) and branches while calculating these metrics.
Task: Create Visualizations for Deployment Frequency and Change Failure Rate Metrics

Determine what type of visualizations will best communicate these metrics. Time series graphs might be a good choice for displaying how these metrics change over time.
Using a visualization library (like D3.js, Plotly) or a dashboard tool (like Grafana), develop these visualizations. Include interactive elements to enable users to explore the data in more detail, such as zooming into certain time periods or filtering by environment/branch.
Finally, ensure these visualizations are embedded into a dashboard that is accessible for the team, providing a user-friendly interface to interact with these metrics.