Really liked the idea of treating energy as a first class metric here Fady-Desoky, makes me rethink how often I equate faster with better by default.
Green Software Engineering: Measuring Energy, Not Just Performance
Fady-Desoky-Saeed-Abdelaziz
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— Originally published at dev.to
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Fady-Desoky-Saeed-Abdelaziz
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@[Ben Kiehl] Thank you, I really appreciate that.
That exact mindset shift was one of my main motivations for writing this — we often optimize heavily for speed and performance, but rarely question the energy cost behind them.
Treating energy as a first-class metric opens a different way of thinking about software quality, sustainability, and long-term impact. I’m glad the idea resonated with you.
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Cairo, Egypt • linkedin.com/in/fadydesokysaeedabdelaziz
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I am a data analyst with a software engineering background, working across data engineering, system ... Show moreI am a data analyst with a software engineering background, working across data engineering, system optimization, and sustainability analytics.
My work focuses on understanding how systems behave in real-world environments, particularly in terms of performance, scalability, and resource consumption. I am interested in using data-driven approaches and machine learning techniques to analyze system behavior, identify inefficiencies, and support the development of more efficient and sustainable systems.
I have worked on projects related to software energy consumption, urban mobility analytics, and NLP-based systems. These experiences allowed me to explore how data can be used not only to describe systems, but to improve how they operate and scale.
In addition to research-oriented work, I have practical experience with enterprise data systems, including data quality improvement, reporting, and process optimization. This has shaped my approach to problem-solving, combining analytical thinking with an understanding of real-world constraints.
I am particularly interested in building systems that are efficient by design — systems that balance performance, scalability, and resource usage while delivering real-world impact. Show less
My work focuses on understanding how systems behave in real-world environments, particularly in terms of performance, scalability, and resource consumption. I am interested in using data-driven approaches and machine learning techniques to analyze system behavior, identify inefficiencies, and support the development of more efficient and sustainable systems.
I have worked on projects related to software energy consumption, urban mobility analytics, and NLP-based systems. These experiences allowed me to explore how data can be used not only to describe systems, but to improve how they operate and scale.
In addition to research-oriented work, I have practical experience with enterprise data systems, including data quality improvement, reporting, and process optimization. This has shaped my approach to problem-solving, combining analytical thinking with an understanding of real-world constraints.
I am particularly interested in building systems that are efficient by design — systems that balance performance, scalability, and resource usage while delivering real-world impact. Show less
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