AI in DevOps: Smart Cloud Migration Automation (Live Project-1) Day 1
Topic:- AI in DevOps: Smart Cloud Migration Automation (Live Project)
Date:-17-04-2026
00:00 – Introduction & Speaker Background
• DevOps Architect with 6+ years experience
• AI experience and certifications
01:20 – Project Overview (AI + DevOps Use Case)
• Problem statement: Legacy to Cloud Migration
• Need for automation using AI agents
03:20 – Challenges in Traditional Migration
• Manual architecture design
• Time-consuming approvals
• Security & cost concerns
06:00 – Solution: AI-Based Migration Agent
• Document analysis automation
• Architecture design generation
• Cost estimation
09:50 – Migration Strategies Explained
• Rehost (Lift & Shift)
• Replatform
• Optimization approaches
12:30 – AWS Architecture Overview
• Amazon Web Services services used
• AWS Bedrock for AI models
• AWS Lambda for execution
• AWS Fargate for backend
14:00 – End-to-End Application Flow
• Route 53 → Load Balancer → Fargate
• Frontend via Amplify
• Authentication using Cognito
17:00 – Agentic AI Workflow Explained
• Multi-agent system
• Document analysis → Design → Diagram generation
22:30 – AI Models Used
• Titan Text model
• Nova Pro model
23:30 – MCP vs API Explained
• What is MCP (Model Context Protocol)
• Difference between APIs and MCP
25:00 – Cost Estimation using AWS APIs
• Real-time cloud cost calculation
26:00 – Serverless Architecture Benefits
• No server management
• Pay-per-use model
28:00 – CI/CD & GitOps Implementation
• Terraform for infrastructure
• GitHub Actions for automation
34:00 – Live Output & Capabilities
• Auto architecture generation
• Cloud cost prediction
• Terraform code generation
36:30 – AI Limitations & Human-in-the-Loop
• Hallucination risks
• Need for validation
40:00 – Future of DevOps with AI
• Rise of Agentic AI
• New job roles & skills
44:00 – Final Discussion & Career Advice
• Why DevOps engineers must learn AI
• Importance of architecture knowledge