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Can someone tell me why there isn't almost any laptop with Linux and ARM? Is it more efficient than x86 though
Software/driver compatibility and rational fear of change from users. (My work laptop is one of the few ARM laptops: Thinkpad T14s with Quallcomm Snapdragon Elite)
Tangent: when you have a lambda returning binary data, it’s pretty painful to have to encode it as base64 just so it can be serialized to json for the runtime. To add insult to injury, the base64 encoding is much more likely put you over the response size limits (6MB normally, 1MB via ALB). The c++ lambda runtime (and maybe rust?) lets you return non-JSON and do whatever you want, as it’s just POSTing to an endpoint within the lambda. So you can return a binary payload and just have your client handle the blob.
Earlier quoted context omitted.
Software/driver compatibility and rational fear of change from users. (My work laptop is one of the few ARM laptops: Thinkpad T14s with Quallcomm Snapdragon Elite)
If you don’t mind me asking, what do you think of that laptop? What kind of workloads do you run and how is battery life? What OS? Would you choose it again?
Battery is good, hardware is really rock solid (though I dislike the new plastic for the keyboard).
Really can’t complain, it’s nearly as good as my Macbook.
It runs Windows 11 today, and everything I need runs fine (jetbrains, rustc, clang, msvc, terraform and of course python).
I’m a technical CTO with infrastructure background, most of my time is spent in spreadsheets these days unfortunately.
Can someone tell me why there isn't almost any laptop with Linux and ARM? Is it more efficient than x86 though
For example, the "light" test will do calls to "dynamodb". Maybe you benchmark python, or you benchmark the aws sdk implementation with different versions of python, or just you benchmark average dynamodb latencies at different times of the day, ...
And, at least for Python, his cpu and memory test code looks like to be especially specific. For example, if you use "sha256" or any other hashlib, you will not really benchmark python but the C implementation of the hashlib, that might depend on the crypto or gcc libraries or optimization that was used by AWS to build the python binaries.
If I want to use TypeScript for Functions, I should write to the v8 runtimes (Deno, Cloudflare, Supabase, etc) which are much faster due to being much more lightweight.
One of the easiest hack to reduce your AWS bills is to migrate from x86 to arm64 CPU. Performance difference is negligible, and cost can be upto 50% lower for arm machines. This is for both RDS and general compute (EC2, ECS). Would recommend to all.
AFAIK ARM64 is around 20% cheaper, not sure where you got the 50%.