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Boavizta's roadmap

Let's create commons to make the environmental impact assessment of digital products, services and systems more reliable, easier and more open.

General roadmap

Products

Boavizta repository

Objective

Technical stack

Language : Python, CSV

Main features

Milestones

Lead dev

@airloren

Links

github : https://github.com/Boavizta/environmental-footprint-data/blob/main/tools/spiders/README.md

Datavizta

Objective

Technical stack

Language : TypeScript, CSS, HTML

Framework : Svelte

Main features

Milestones

Lead dev

TBD

Links

github : https://github.com/Boavizta/boavizta-front

BoaviztAPI

Objective

Give access to BOAVIZTA reference data and methodologies throught a RESTful API

Technical stack

Language : Python

Framework : FastAPI

Main features

  • Evaluation of manufacture impacts
  • Evaluation of usage impacts
  • Multiple impacts types (gwp, adp, pe)
  • Multiple components (CPU, RAM, SSD, ...)
  • Multiple devices (Server, Cloud, more to come)
  • Auto-completion of missing values
  • Modelization of components, server and cloud energy consumption

Milestones

  • V0.2 :

    • Code refactoring
    • Model the energy consumption of CPU, RAM, Server & cloud instances
    • Complete CPU data from name
    • Rust & python SDK
  • V0.3 :

    • Add the impacts of IoT devices
    • Add multiple source of impacts factors (electicity map, research paper, ...)
    • Add new component (GPU, HDD)
    • Automate the collection of of components', devices' and cloud instances' characteristics
  • V0.4 :

    • Model the electrical consumption from Energizta
  • V1 :

    • Test covorage of 95%
    • Code quality process

Lead dev

@da-ekchajzer

Links

github : https://github.com/Boavizta/boaviztapi

documentation : https://doc.dev.api.boavizta.org/

demo api : https://dev.api.boavizta.org/docs

Boagent

Objective

Technical stack

Language : python

Main features

Milestones

Lead dev

@bpetit

Links

github : https://github.com/Boavizta/boagent

Cloud-scanner

Objective

Cloud-scanner returns environmental impacts of your AWS Instances usage.

Main objective is to give a more realistic view of impacts compared to what is natively returned in the dashboards of cloud providers, who often rely on carbon compensation mechanism or unclear methodology to display what we consider unrealistically low impacts.

Cloud scanner combines real time usage data from your AWS account with Boavizta API to offer a global view of your impacts. It will later be enriched to cover other cloud providers.

Technical stack

Language : Rust + AWS SDK

Main features

Generate real time metrics (json or prometheus) that can be displayed in dashboards.

Fine granularity: provide filtering (on tags) to ease attribution to a service or application.

Cloud-scanner can be used:

  • from command line πŸ’» (for a quick one-shot assessment)
  • as a server application (for continuous monitoring)⚑

See full documentation: Introduction - Boavizta cloud scanner πŸ“‘

Milestones

  • December 2022: first public release targeting AWS EC2 instances.
  • 2023:
    • Communicate on the tool (short video demo + article + Social Media posts)
    • Call to contributions:
      • Gather feedback by testing it in in multiple real world accounts
      • Improve doc
      • Compare results with outputs from Cloud Carbon Footprint
    • Follow evolutions of Boavizta API (error margin a.s.o.)
    • Add support for serverless (lambda) estimations
    • Add a custom dashboard (using the new sveltejs components)
    • Add support for OVH instances
    • Add support for Azure
    • Tech debt: use a better serverless plugin + change API SDK generation tool.
    • Implement a module for terraform to help estimate future impacts prior to deployment (Maybe this means a separate dedicated projet).
  • 2024:
    • Add the possibility to simulate impacts of an arbitrary inventory
    • Add support for Azure
    • Add object storage support (s3 like)
    • Integration with K8s usage data
    • Add impacts of GPU's (for AI/ML workloads)
    • Improve documentation

See also:

Lead dev

@demeringo

Links

Energizta

Objective

Technical stack

Language : Bash, Python

Main features

Milestones

Lead dev

TBD

Links

github : https://github.com/Boavizta/Energizta

Eco-benchmark (Backend)

Objective

Highlight the main way to achieve a sustainable design on a BackEnd API.

For tech leaders ande developers.

Technical stack

Measurement infrastructure

Language : Ansible, Javascript

Services

Language : All

Main features

Measurement infrastructure

  • Measure auotmation

Services

  • go-pgx
  • jvm-kotlin-spring
  • node-express-sequelize
  • php-symfony-apache-dev
  • rust-actix-native
  • rust-sqlx-native
  • rust-axum-native

Milestones

  • January 2022

    • Measurement infrastructure
      • Automated test to validate service behavior.
      • Preload database
    • Services
      • php-symfony-apache-prod
      • php-symfony-apache-nginx
      • ruby-on-rails
  • Next

    • Measurement infrastructure
      • Connection pool harmonization.
    • Services
      • Python use case
    • Design variant
      • grpc protocole

Measurement infrastructure

Services

Lead dev

@youenchene & @jdrouet

Links

github : https://github.com/Boavizta/ecobenchmark-applicationweb-backend

How to Contribute : https://github.com/Boavizta/ecobenchmark-applicationweb-backend/blob/main/CONTRIBUTING.md

Cloud-bill

Objective

Technical stack

Language : python

Main features

Estimate impacts of a cloud account using billing or reports informations.

Milestones

Initiated mid 2022 during Boavizta hackatons.

⚠ On hold, no recent developments.

Lead dev

TBD

Links

github : https://github.com/Boavizta/cloud-bill

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