3 DevOps AI Projects Jo Interview Me Kaam Aayenge — Pipeline, Kubernetes, AWS Bill
Tech Adda
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3 DevOps AI Projects Jo Interview Me Kaam Aayenge — Pipeline, Kubernetes, AWS Bill
22 просмотра · 10 дн. назад
Tech Adda
22 просмотра · 10 дн. назад
Mere 3 AI DevOps projects — PipelineSage, SentinelOps aur CostSage — bilkul waise explain kiye jaise DevOps interview me karne chahiye: pehle problem, phir tool kaise kaam karta hai, phir fayda number ke saath. Teeno projects ke real demo is video me chalte hue dikhaye hain.
🔗 Teeno projects open source hain — khud chalakar dekho:
• PipelineSage (CI/CD failure triage bot): https://github.com/Zaid1110/pipeline-...
• SentinelOps (Kubernetes anomaly detector + Slack alerts): https://github.com/Zaid1110/sentinelops
• CostSage (AWS cost advisor): https://github.com/Zaid1110/cost-sage
Chapters:
00:00 Project batao wala sawaal
00:14 Teen projects, teen problems
00:35 Problem 1: fail hua build, 200 line ka log
01:00 PipelineSage kaise kaam karta hai
01:38 Fayda: 45 minute se kuch second
01:57 Problem 2: CrashLoopBackOff
02:21 SentinelOps kaise pakadta hai
02:52 Fayda: Slack par incident summary
03:19 Problem 3: chupchaap badhta AWS bill
03:40 CostSage kaise kaam karta hai
04:09 Fayda: $262/month ki bachat
04:31 Interview me present kaise karein
05:00 Yaad rakho
Is video me cover hai:
• PipelineSage — failed CI build log se failing step, likely cause aur suggested fix, bina API key ke offline mode me; AI mode (Claude) optional hai
• SentinelOps — CrashLoopBackOff, OOMKilled, ImagePullBackOff, FailedScheduling aur error-rate spike detection; severity-ranked incident summary Slack par (demo me dry-run)
• CostSage — AWS Cost Explorer CSV se idle EC2/RDS, oversized instances, unattached EBS volumes aur purane snapshots ki pehchan; demo data par $262.50/month ki potential bachat
• Interview framework — har project ko problem → tool → result ke dhache me kaise present karein, aur demo data ko lekar imaandari kyun zaroori hai
Ye video unke liye hai jo DevOps interview ki tayari kar rahe hain, apne projects ko behtar explain karna chahte hain, ya AI ko DevOps ke roz ke kaam me istemal karna seekhna chahte hain. Demo ke liye sample data use hua hai — teeno tools ke offline mode bina kisi API key ke sach me chalte hain.