Hamza Görgülü

The 70% problem: Hard truths about AI-assisted coding A field guide and why we need to rethink our expectations

Great article by @addyosmani.bsky.social! addyo.substack.com/p/the-70-pro...

Today I connected ECS job and EC2 machine on AWS for communication of mlflow logs. Then I realized how detailed the AWS networking is. After I finish my MSc(in two weeks), I will be studying for AWS Cloud Practitioner certificate to advance my skills.

- Of course it can, but with what probability?
- Is it a good idea to store the data on s3 as well? Does that ever improve the security?

I have been recently working on a security of the deployed mlflow framework on AWS EC2 machine. I am able to store the files that mlflow create by using docker volume and write it the disk of the machine. However, I have some considerations:
- Can the machine be shut down caused by external factor?

I know that you can do that with personal account with credits as well but I think its much better to learn it with a REAL WORK.

One of the good side of working in a start up it that I can easily do experiments with the software tools that I use without knowing it very well. I am learning AWS networking recently and play with inbound-outbound rules with the security tools that I created and observe what change happens.