Design, Build, and Run Sustainable APIs and Softwares

on YouTube ↗25m

" summary

Measurement is the first step: use API Green Score at design time, a Sonar plugin (echo code / Creding0) during build, and Kepler at runtime to estimate cluster energy and carbon so teams can find hotspots and right‑size CPU/RAM. Apply concrete patterns — lazy loading, delta updates, batch requests, pagination, compression, HTTP/2, object pooling and caching — to cut network calls (ten requests → one) and repetitive CPU work. Combine autoscaling and scheduled shutdowns to reduce idle instances, then observe continuously and iterate on measured reductions.

AI-written summary · about

" chapters (11)

1. 0:00Sustainable API design
2. 1:10Energy efficiency in APIs
3. 2:36Green API measurement tools
4. 5:50Energy-efficient design principles
5. 8:14Efficient data processing
6. 11:52Network traffic optimization
7. 15:06Resource and DB optimization
8. 16:32Green coding principles
9. 19:01Energy-efficient hosting
10. 20:53Observability and improvement
11. 22:16Key takeaways

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