4 items tagged “serverless”
Netlify Edge Functions: A new serverless runtime powered by Deno. You can now run Deno scripts directly in Netlify’s edge CDN—bundled as part of their default pricing plan. Interesting that they decided to host it on Deno’s Deno Deploy infrastructure. The hello world example is pleasingly succinct: export default () => new Response(“Hello world”) # 19th April 2022, 4:46 pm
Portable Cloud Functions with the Python Functions Framework (via) The new functions-framework library on PyPI lets you run Google Cloud Functions written in Python in other environments—on your local developer machine or bundled in a Docker container for example. I have real trouble trusting serverless platforms that lock you into a single provider (AWS Lambda makes me very uncomfortable) so this is a breath of fresh air. # 10th January 2020, 4:58 am
Serverless for data scientists (via) Slides and accompanying notes from a talk by Mike Lee Williams at PyBay, providing an overview of Zappa and diving a bit more deeply into pywren, which makes it trivial to parallelize a function across a set of AWS lambda instances (serverless Python map() execution essentially). I really like this format for sharing presentations—I used something similar for my own PyBay talk. # 25th August 2018, 11:01 pm
Serverless is a somewhat unhelpfully misleading term for “highly scalable stateless code”. All the times I’ve seen serverless stuff work really well it was workloads that were usually zero but occasionally 30k/sec without warning. I’ve run a company with that kind of workload and serverless stuff would have saved us a ton of money. Publishing to the [npm] registry could be done as a serverless app but there’s little benefit because we do not get huge spikes in publishing. We get huge spikes in *downloads* but serverless isn’t useful there because it’s a read-only case and very little processing is done. Serverless is a great solution to one type of problem. It’s very seldom the case that you can convert all your problems into that shape.