microsoft / microsoft/finops-toolkit
[Open Data] Automate generation of the Regions dataset
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- Dominant language
- PowerShell
- Stars
- 603
- Forks
- 248
- Avg merge
- 7d 11h
- Merged PRs (30d)
- 11
Description
📝 Scenario
As a FinOps toolkit contributor, I need to automate the updates to the Regions open dataset in order to minimize maintenance efforts
💎 Solution
Automate the generation and update of the Regions open data file by pulling data from the following public sources. Include additional data points when available.
- https://github.com/Azure/azure-cli/blob/dev/src/azure-cli/azure/cli/command_modules/backup/custom.py
- https://github.com/Azure/ARO-HCP/blob/main/tooling/templatize/serviceconfig.json
- https://github.com/Azure/azure-cosmos-dotnet-v3/blob/master/Microsoft.Azure.Cosmos/src/Regions.cs
- https://github.com/Azure/azure-powershell/blob/main/src/RecoveryServices/RecoveryServices.Backup/Helpers/BackupUtils.cs
🙋♀️ Ask for the community
We could use your help:
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Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reviewing the listed Azure CLI, ARO-HCP serviceconfig.json, Cosmos DB Regions.cs, and Azure PowerShell BackupUtils.cs sources, then locate the repository's existing Regions dataset and generation workflow. Define which fields can be sourced reliably and what process should update the open data file. Done means the dataset can be regenerated and updated from the selected public sources with the available additional data.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- azure, powershell
- Domain
- cloud, data-engineering
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 32/100