AWS Cloud Development Kit (AWS CDK) Overview, TypeScript and Python Examples, Languages Support and Performance Conciderations
https://www.glukhov.org/post/2025/08/aws-cdk-overview/
#aws #cloud #typescript #performance #python #golang #go #java #dotnet #hosting
In my blog
#Amazon Web Services: where 10 years of your work can just vanish
https://jackyan.com/blog/2025/08/amazon-web-services-where-10-years-of-your-work-can-just-vanish/ #AWS
I’m almost fully in the cloud, mostly Azure. But let’s be honest the big players (Azure, AWS, Google Cloud) are all American. Too many companies have put all their eggs in that basket. What if politics shift between the US and Europe? We need a truly sovereign European cloud, as capable as the giants. Until then, I’m not confident about the future. #Cloud #azure #aws #google
A quick (for me!) blog article about why #AWS' new GitHub Action for #Lambda deployment doesn't actually really help, and why you probably don't want to use it.
https://blog.symphonia.io/posts/2025-08-08_aws_lambda_deploy_github_action
The graphs at the end remind me a lot of the SimKube work I did last year, only at a much larger scale. I wonder if they'd be willing to release a trace of their work? I'd go bananas with SimKube on that.
https://blog.appliedcomputing.io/p/using-simkube-10-comparing-kubernetes
I'm also interested in what they did to kube-scheduler. They say that the scheduler is a big source of latency because of its "one-pod-at-a-time" behaviour, and that this doesn't work for "ultra-scale" or big ML workloads. But then they say,
"However, we achieved consistently a high throughput of 500 pods/second even at the 100K node scale by carefully tailoring scheduler plugins based on the workload and optimizing node filtering/scoring parameters."
How does this work??? What did they do??? Again, frustratingly light on details.
Finally finished reading the AWS post from a few weeks ago about their "ultra-scale" EKS perf improvements! There's some cool stuff in there, and lots of pretty graphs.
Aside from a bunch of "targeted" improvements, it seems like the biggest change is to move away from raft into some internal thing called "journal" in etcd. This seems cool, I guess, but also kinda like magic unicorn sauce?
"Offloading consensus to journal enabled us to freely scale etcd replicas without being bound by a quorum requirement and eliminated the need for peer-to-peer communication."
How on earth does that work? Would love to have more details here.
Microsoft rolls out OpenAI’s GPT-5 — and Elon Musk rolls out the commentary - Microsoft CEO Satya Nadella took Elon Musk’s barb in stride. (GeekWire File Photo... - https://www.geekwire.com/2025/microsoft-rolls-out-openais-gpt-5-and-elon-musk-rolls-out-the-commentary/ #artificialintelligence #amazonwebservices #azureaifoundry #cloudcomputing #satyanadella #microsoft #sagemaker #aimodels #elonmusk #bedrock #openai #gpt-5 #grok #aws #xai
AWS's sudden removal of a 10-year account and all of its data: lessons learned
Link: https://www.suramya.com/blog/2025/08/lessons-learnt-from-aws-deleting-a-10-year-account-and-all-that-data-without-warning/
Discussion: https://news.ycombinator.com/item?id=44838431
Spannende und erhellende Story eines #OpenSource-Entwicklers, dessen zehn Jahre altes #AWS Konto gelöscht wurde.
https://www.seuros.com/blog/aws-deleted-my-10-year-account-without-warning/