Something I've been thinking a lot about lately is environmental friendliness in software, given that data centers contribute 3% of global greenhouse emissions (same amount as the entire airline indistry).
I'm thinking along the lines of using interpreted languages less server side because of efficiency, but also relying on JS less client side and using WASM where it makes sense.
This has stemmed from me leaning Go last year and being moved by actually how much faster it is than Node for my use cases (API development and data processing).
Where I am curious to see the total impact is how we can take advantage of economies of scale to save money and increase efficiency. I'm thinking along the lines of scale to zero, event driven architectures.
Google Cloud, for example, claims they operate their data centers with industry leading efficiency while also being powered by renewable energy. At scale, do services like Cloud Run or Cloud Functions actually make a difference?
I'm thinking along the lines of using interpreted languages less server side because of efficiency, but also relying on JS less client side and using WASM where it makes sense.
This has stemmed from me leaning Go last year and being moved by actually how much faster it is than Node for my use cases (API development and data processing).
Where I am curious to see the total impact is how we can take advantage of economies of scale to save money and increase efficiency. I'm thinking along the lines of scale to zero, event driven architectures.
Google Cloud, for example, claims they operate their data centers with industry leading efficiency while also being powered by renewable energy. At scale, do services like Cloud Run or Cloud Functions actually make a difference?