Project: AI-Powered AWS Idle Resource Finder
Build a useful AWS Cost Analyzer which identify underutilized or idle resources across all regions and use AI (Local LLM / Amazon Bedrock) to filter the TOP resources for removal (Day 17)
Senior Cloud, DevOps, MLOps & ML Platform Engineer | Heading Cloud, DevOps & MLOps for start-ups | AWS Container Hero | Educator | Mentor | Teaching Cloud, DevOps & Programming in Simple Way
Build a useful AWS Cost Analyzer which identify underutilized or idle resources across all regions and use AI (Local LLM / Amazon Bedrock) to filter the TOP resources for removal (Day 17)
Build a production-ready RAG (Retrieval-Augmented Generation) app (Day 16)
Self-hosting LLMs Local Machines and on EC2/GKE with Ollama — when open-source beats API services (Day 15)
The two dominant orchestration frameworks compared — architecture choices for DevOps use cases (Day 14)
Tools, function calling, ReAct loops — agents as autonomous automation workers (Day 13)
Using LLMs to parse logs, correlate alerts, and draft incident summaries automatically (Day 12)
Example: Kubernetes, Terraform, Docker, AWS, MLOps...