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# Forecast Azure DevOps to GitHub using Valet forecast command
# Forecast Azure DevOps usage using Valet's forecast command
In this lab we will use the `forecast` command to forecast potential GitHub Actions usage by computing metrics from the historical pipeline data in Azure DevOps. The metrics will be stored on disk in a markdown file and include job metrics for execution time, queue time, and concurrency. We will look at each of these metrics in more depth later in this lab.
### Coming soon
- [Prerequisites](#prerequisites)
- [Prepare for forecast](#prepare-for-forecast)
- [Perform a forecast](#perform-a-forecast)
- [Review forecast report](#review-forecast-report)
- [Forecasting multiple providers](#forecasting-multiple-providers)
- [Next steps](#next-steps)
## Prerequisites
TBD
## Prepare for forecast
## Perform a forecast
## Review forecast report
### Metric Definitions
| Name | Description |
| ----- | ----------- |
| Median | The __middle__ value |
| P90 | 90% of the values are less than or equal to |
| Min | The lowest value |
| Max | The highest value |
### Total Section
### Runner Group Sections
- The preceding sections shows the same metrics as the `Total` section, but are broken out into runner groups. A runner group is a logical grouping of one or more runners.
## Forecasting multiple providers
## Next steps