@podoba_interact What is the review to owner ratio?
I am trying to make an analysis tooling, just curios how close my way of estimation.
https://t.co/ChffRcuVlz
@kryzopilVDF@skalinets Я просто пам‘ятаю Factorio на PC, і на Nintendo. Швидкість дій в рази повільніше. Можливо просто не втягнувся.
p.s. маю Switch 2, тестував демку Factorio.
📌 Two open roles in security — payments industry.
We're helping a Global Payment Orchestration Company find:
Information Security Engineer
Application Security Engineer
Direct hire. Full details in the comments 👇
Mike Klubnika tells us about his experience developing the 2024 indie hit Buckshot Roulette, as well as his newer project, s.p.l.i.t. #godotengine
https://t.co/DjPcih0TEx
Loki → VictoriaLogs
~92% cost reduction: from 30 readers + 30 writers each with 4 vCPU / 16 GB RAM to a single EC2 c7g.8xlarge.
~10× query latency improvement.
Ability to search a 7-day time range across billions of records.
1.5+ TB of log volume per day (uncompressed).
Kubernetes is not a solution. It's a trade-off.
You trade:
- Simple deployments for YAML hell
- Direct debugging for kubectl exec gymnastics
- Clear errors for CrashLoopBackOff mysteries
- Fast onboarding for 3-month learning curves
- Operational simplicity for orchestration complexity
And what do you get?
The ability to run the same workload you could've run on 3 EC2 instances.
But now it takes a team of 5 and costs 10x more.
K8s doesn't reduce complexity. It just moves it from your app to your platform.
True. A big share of Kubernetes clusters in production do not resolve any practical issues, while they bring a lot of trouble with the unnecessary complexity, over-engineered abstractions, silly yaml-programming and performance issues.
What If you have Linus Torvalds always sitting next to you, first he reviews your code then suggest what to read.
Not summaries, just perform review and research your knowledge gaps for you then saves to your reading list.
Challenge an idea – "AI Engineering Mentor"
An AI that:
- Reviews your code with helpful suggestions.
- Summarizes review and recommends learning resources.
- Builds learning path, can substitute courses.
- Answers coding questions.
- Proactively suggests improvements.