Insights

The insights section of the dashboard provides a comprehensive overview of key metrics and trends derived from your data. It includes visualizations such as the time that it takes to land code in production and meta data derived from your data.

For example, you can track metrics like Deployment Frequency, Lead Time for Changes, Change Failure Rate, and Mean Time to Recovery (MTTR). These insights help you understand the efficiency and effectiveness of your development and deployment processes. Those come from your pipelines. However, pairing index comes from your git history, from the source code.

Deployment Frequency

Works with:

GitHub

Deployment Frequency measures how often code is deployed to production. A higher deployment frequency indicates a more agile and responsive development process.

The deployment frequency is calculated by dividing the number of deployments by the number of deployments in a given time period. To track the deployment frequency, Smm requires a pipeline that deploys to production.

This is configured in the configuration file. You need to specify the pipeline and the job that deploys to production.

Pairing index

Works with:

GitHubGitLabBitbucketany git based repository

The Pairing Index provides insights into collaboration within your development team by analyzing how often developers work together on code changes. A higher pairing index suggests a more collaborative environment, which can lead to improved code quality and knowledge sharing.