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Can Green Software Engineering Solve the Climate Crisis?
Sara Bergman overviews the emerging green software engineering, then dives into understanding the challenges related to assessing and mitigating the carbon impacts of software systems.
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From Runtime Efficiency to Carbon Efficiency
Michal Dorko discusses Goldman Sachs’s proprietary language, Slang, a core technology responsible for booking trades, quoting prices and analysing risk, among other use cases.
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Why Cloud Zombies Are Destroying the Planet and How You Can Stop Them
Holly Cummins explains how utilization and elasticity relate to sustainability. She also introduces a range of practical techniques, including absurdly-simple-automation, LightSwitchOps, and FinOps.
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Tech's Carbon Footprint: Understanding and Tackling the Impact of Tech on the Climate Crisis
Paul Lawson discusses the components of a tech carbon footprint, how cloud providers are tackling the problem of carbon emissions, and what the future of the cloud might look like.
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Efficient Language and Library Use to Reduce Carbon
Esteban Küber reviews their experience in designing and building a sample application with the same requirements in both Rust and Java.
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Cloud Provider Sustainability, Current Status and Future Directions
Adrian Cockcroft explains what is available now in terms of green energy, and public roadmap statements and commitments that have been made by AWS, Azure and GCP.
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The Zen of Green Software: Finding Balance in the Sustainable Growth Journey
Lisa McNally and Marco Valtas discuss open source software tools and methodologies for balancing carbon with growth across an IT organization.
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Innovating for the Future You've Never Seen: Distributed Systems Architecture & the Grid
Astrid Atkinson discusses bringing software innovation to infrastructure, and leveraging experience with reliability innovation in big tech, to transform our energy system and decarbonize the grid.
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The Next Decade of Software is about Climate - What is the Role of ML?
Sara Bergman introduces the field of green software engineering, showing options to estimate the carbon footprint and discussing ideas on how to make Machine Learning greener.
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