Azure Cloud impact
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- Python
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Description
- CodeCarbon version: 1.2
- Python version: 3.9
- Operating System: Linux
Description
Hello guys,
At Volvo, we would like to try to use the Code Carbon library, initially for a testing purpose on a small team, to see how we can incorporate it further on. The issue I see is that we can't force developers to use the Code Carbon every time they code something on their PC. Therefore, we thought to try to incorporate it within Databricks.
We tried the library, seems to be working fine, but we are not sure how the numbers are calculated. No, not about the formula, but how do you get the information on which type of energy is used to power that specific computing power fleet?
In our case, we have Azure. Is it possible to get any explanation on how it is done, so that we can understand how we should move further on.
What I Did
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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 CodeCarbon documentation and the parts covering Azure and Databricks usage. Determine where the Azure energy-source calculation is explained and document the relevant data source and calculation context; done means users can understand how Azure fleet energy information is obtained.
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Assessment
- Tech stack
- azure, python
- Domain
- cloud, documentation
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100