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Simplify readme #583

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Simplified the readme as mentionned in issue 409.

  • Removed sections
  • Updated Get started
  • Redirect to doc

@NevinDry NevinDry mentioned this pull request Oct 11, 2024
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@demeringo demeringo left a comment

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Hi @NevinDry, if you can could you please update the PR to preserve 2 paragraphs (see below comments) ?

Many thanks

Comment on lines -23 to -28
Cloud scanner combines real time _inventory_ and _usage_ data from your AWS account with [Boavizta API](https://github.com/Boavizta/boaviztapi/) to offer a view of your impacts on a given region.

- multi criteria: Primary Energy consumption (PE), Abiotic resource depletion potential (ADP), and Global Warming Potential (GWP)
- multi stage: separate impacts of resources Usage and Manufacture

This is similar to what you can get from [Datavizta](http://datavizta.boavizta.org/cloudimpact) but with automated inventory.
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I would like to keep theses lines:

Cloud scanner combines real time inventory and usage data from your AWS account with Boavizta API to offer a view of your impacts on a given region.

  • multi criteria: Primary Energy consumption (PE), Abiotic resource depletion potential (ADP), and Global Warming Potential (GWP)
  • multi stage: separate impacts of resources Usage and Manufacture

This is similar to what you can get from Datavizta but with automated inventory.

Comment on lines -41 to -43
Cloud scanner follows Boavizta approach.

> Thibault Simon, David Ekchajzer, Adrien Berthelot, Eric Fourboul, Samuel Rince, et al.. BoaviztAPI: a bottom-up model to assess the environmental impacts of cloud services. HotCarbon'24. Workshop on Sustainable Computer Systems, Jul 2024, Santa Cruz, United States. [⟨hal-04621947v1⟩](https://hal.science/hal-04621947v1)
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And keep theses lines too:

Cloud scanner follows Boavizta approach.

Thibault Simon, David Ekchajzer, Adrien Berthelot, Eric Fourboul, Samuel Rince, et al.. BoaviztAPI: a bottom-up model to assess the environmental impacts of cloud services. HotCarbon'24. Workshop on Sustainable Computer Systems, Jul 2024, Santa Cruz, United States. ⟨hal-04621947v1⟩

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2 participants