Treat sustainability as a non-functional requirement and use tools to measure energy consumption from the cloud level down to micro-benchmarks.
Reduce energy consumption by removing unused code and data, optimizing test frameworks with timeouts, and avoiding inefficient parallelization in CI/CD pipelines.
Minimize energy usage by deleting unnecessary stored data and strategically upgrading server hardware, which has a higher operational carbon cost than its manufacturing cost.
Improve code's energy efficiency by minimizing operations inside loops and reducing network energy use through smaller data transfers and efficient formats like Protobuf.
Select programming languages and algorithms based on their energy consumption profiles and avoid performance-intensive operations like reflection by using techniques like code generation.
29:31Pierre-Luc Noel & Fritz Reichmann
35:20Doreen Sacker
1:02:22Marjolein Pordon
29:30Hendrik Lösch
30:07Ines Akrap
30:40Olivier Gaudin
27:46Michael Mueller
18:53Bjorna Kalaja
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Jobs that call for the skills explored in this talk.
CONTIAMO GMBH
Berlin, Germany
SYSKRON GmbH
Regensburg, Germany
Speech Processing Solutions
Vienna, Austria
doinstruct Software GmbH
Berlin, Germany
Peter Park System GmbH
München, Germany
