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Batch
Date: Feb
19th @8:00PM
Faculty: Mr. Maha (15+ Yrs of Exp,..)
Duration: 5 Months
Venue
:
DURGA SOFTWARE SOLUTIONS,
Flat No : 202,
2nd Floor,
HUDA Maitrivanam,
Ameerpet, Hyderabad - 500038
Ph.No: +91 - 8885252627, 9246212143, 80 96 96 96 96
Syllabus:
DEVOPS with Multi Cloud
& DevSecOps Mastery-E
MODULE 1: DevOps, Cloud & Multi-Cloud Foundations
Topics
- DevOps vs SRE vs Platform Engineering
- Why multi-cloud?
- AWS vs Azure service mapping
- Shared responsibility model
- Cloud regions, availability, SLAs]
- Identity basics:
- Networking basics:
- Subnets, route tables, gateways
Hands-On
- Create AWS & Azure accounts
- IAM users, roles & permissions
- Build basic VPC & VNet
- Use AI to review architecture & IAM design
AI Tools Introduced
- ChatGPT / Claude – cloud concept explanations
- AWS Well-Architected Tool (AI insights)
- Azure Advisor (AI recommendations)
MODULE 2: Terraform (DEEP DIVE – CORE MODULE)
Tools (Latest)
- Terraform ≥ 1.6
- Terraform Cloud (intro)
- tfsec (now built-in but still relevant)
- Chekhov
- Open Policy Agent (OPA)]
- Terragrunt (intro)
- Terraform Backend (S3 / Azure Storage)
2.1: Terraform Foundations (Real Usage)
- Infrastructure as Code concepts
- Terraform architecture
- Providers & resources]
- Variables & outputs
- Terraform lifecycle
- IaC for scale
- Provider versioning
- Remote state (S3 + Azure Blob)
- Locking & state security
- Folder vs workspace strategy (enterprise view)
Multi-Environment Cloud Foundation
- Dev / Stage / Prod
- AWS + Azure
- Standard tagging
- Secure backend
- GitHub repo structure
2.2: Terraform State Management
- Local vs remote state
- State locking
- S3 + DynamoDB backend
- Azure Storage backend
- State security & recovery
2.3: Terraform Advanced Concepts
- Modules (reusable architecture)
- Environment separation (dev / stage / prod)
- Workspaces vs folder strategy
- Dynamic blocks
- Meta-arguments (count, for_each)
- Dependency management
Advanced Terraform & Multi-Cloud
- Reusable modules
- for_each vs count
- Dynamic blocks
- Secrets handling (NO plaintext)
- Drift detection
- Terraform pipelines
2.4: Multi-Cloud with Terraform
- AWS + Azure providers together
- Shared variables
- Naming & tagging standards
- Multi-cloud networking patterns
2.5: Secrets & Security in Terraform
- Sensitive variables
- AWS Secrets Manager
- Azure Key Vault
- Avoiding secrets in state files
Hands-On
- Provision AWS & Azure infrastructure
- Build reusable Terraform modules
- Create EKS & AKS clusters using Terraform
AI Tools Used
- GitHub Copilot – Terraform authoring
- ChatGPT – error debugging & refactoring
- Checkov AI / tfsec – security explanation
Project 1
- Multi-Environment Cloud Foundation
- Build AI-assisted Terraform modules
- Dev / Stage / Prod
- AWS + Azure
- Standard tagging
- Secure backend
- GitHub repo structure
Project 2
- Provision EKS + AKS using Terraform
- Network modules
- Cluster modules
- IAM roles / Managed Identity
- Secure outputs
- CI-driven Terraform apply
MODULE 3: Ansible for DevOps Automation
3.1: Ansible Fundamentals
- What is configuration management?
- Why Ansible vs Chef / Puppet / Salt
- Agentless architecture (SSH / WinRM)
- Ansible components:
- Control node
- Managed nodes
- Ansible vs Terraform (IaC vs CM)
3.2: Ansible Core Concepts
- Inventory (static & dynamic)
- Hosts & groups
- Ansible configuration (ansible.cfg)
- Modules
- Tasks & handlers
- Facts & variables
- Templates (Jinja2)
AI Tools Used
- GitHub Copilot – playbooks & roles
- ChatGPT – bash → Ansible conversion
- Ansible Lint + AI explanations
Hands-On
- Install Ansible
- Configure inventory for AWS & Azure VMs
- Run ad-hoc commands
- AI-assisted troubleshooting of playbooks
3.3: Playbooks & Roles (REAL WORLD)
- Playbook structure
- YAML best practices
- Roles:
- Defaults
- Vars
- Tasks
- Handlers
- Role reusability
- Ansible Galaxy
Hands-On
- Build reusable roles:
- NGINX
- Docker
- Application runtime
- Deploy application using playbooks
3.4: Ansible with AWS & Azure
- Dynamic inventory:
- Managing cloud VMs post-provisioning
- Tag-based targeting
- SSH key & identity handling
Hands-On
- Terraform creates EC2 / Azure VMs
- Ansible configures them automatically
- Full Terraform + Ansible workflow
3.5: Ansible for CI/CD Pipelines
- Ansible in GitHub Actions
- Ansible in Azure DevOps
- Secure variables & secrets
- Idempotency in pipelines
- Ansible for:
- App deployment
- Configuration drift fixes
- Zero-downtime updates
Hands-On
- CI/CD pipeline using Ansible
- Automated server configuration after build
3.6: Ansible for Kubernetes
- When to use Ansible with Kubernetes
- Ansible vs Helm
- Kubernetes modules:
- Cluster bootstrapping
- Managing config maps & secrets
Hands-On
- Deploy Kubernetes resources via Ansible
- Integrate Ansible + Helm
3.7: Ansible Security & DevSecOps
- Secrets management:
- Secure inventory handling
- Least privilege execution
- Ansible Lint
- YAML & playbook scanning
- SSH hardening via Ansible
Hands-On
- Encrypt secrets with Ansible Vault
- Secure Linux servers using Ansible hardening roles
3.8: Best Practices & Enterprise Patterns
- Folder structure standards
- Environment separation (dev / stage / prod)
- Error handling & retries
- Idempotency patterns
- Scaling Ansible in enterprises
MODULE 4: CI/CD with GitHub Actions & Azure DevOps
Topics :
Source Code & Collaboration: Code versioning, reviews, triggers
- Git
- GitHub
- GitHub Enterprise (overview)
- Azure Repo
CI/CD Platforms (Core):Purpose: Pipeline execution & orchestration
- GitHub Actions
- Azure DevOps Pipelines (YAML)
- Self-hosted runners (VM / Kubernetes based)
Build & Dependency Management: Application build & packaging
Artifact Management:Purpose: Store, version & promote builds
- JFrog Artifactory
- GitHub Packages
- Azure Artifacts
4.1: Version Control – Git (Enterprise Usage)
- Git fundamentals (clone, commit, push, pull)
- Branching strategies (GitFlow, trunk-based)
- Pull requests & code reviews
- GitHub enterprise workflows
4.2: Build & Dependency Management – Maven
- Maven project structure
- POM.xml deep dive
- Build lifecycle (compile, test, package)
- Versioning & artifact management
4.3: Artifact Repository – JFrog Artifactory
- What is an artifact repository & why it’s critical
- Maven + JFrog integration
- Storing & promoting build artifacts
- Artifact versioning & rollback strategy
4.4: CI/CD Fundamentals
- CI/CD principles
- Pipeline stages
- Artifact management
- Rollback strategies
4.5: GitHub Actions (Deep)
- Workflow syntax
- Jobs & runners
- Environment variables & secrets
- Self-hosted runners
- Terraform pipelines
- Docker build & push
- Kubernetes deployment pipelines
Latest Practices
- Reusable workflows
- Environment protection rules
- OIDC (NO static cloud keys)
- Self-hosted runners
- Secure secrets handling
Hands-On
- Terraform CI pipeline
- Plan on PR
- Policy checks]
- Apply on approval
- Multi-environment promotion
- Application CI/CD to EKS
- Multi-environment promotion
Unit Testing Frameworks
- JUnit / TestNG
- Jest (Node)
Code Quality & Coverage
Quality Gates
- Fail pipeline on low coverage
4.3: Azure DevOps Pipelines
- Azure DevOps architecture
- Classic vs YAML pipelines
- Multi-stage pipelines
- Secure pipeline variables
- Terraform with Azure DevOps
- AKS deployment pipelines
- Variable groups & Key Vault
- Environments & approvals
Project: Hands-On
- Terraform pipeline for Azure
Application CI/CD
- Docker build
- Image scanning
- Push to registry
- Deploy to AKS
- App deployment to AKS
4.4: GitHub Actions vs Azure DevOps
- Feature comparison
- Cost considerations
- Enterprise use cases
- When to choose which
AI Tools Used
- GitHub Copilot for Actions
- Azure DevOps Copilot
- ChatGPT – pipeline optimization & security
MODULE 5: Kubernetes (EKS + AKS)
Tools
- Kubernetes ≥ 1.29
- Helm 3
- Kustomize
- Argo CD (GitOps)
- Ingress NGINX / ALB Controller
- docker
- Docker Buildx
- Amazon ECR
- Azure Container Registry (ACR)
- kubectl
- Kustomize (overview)
- EKS
- AKS
5.1: Containerization – Docker
- Docker architecture
- Writing optimized Dockerfiles
- Image layering & caching
- Docker best practices for production
5.1: Kubernetes Core Concepts + GitOps
- Kubernetes architecture
- Control plane components
- Worker nodes
- Pods, Deployments, Services
- ConfigMaps & Secrets
- Cluster internals
- Networking & DNS
- RBAC
- GitOps vs CI/CD
- Argo CD architecture
Project :
GitOps Deployment Platform
- App repo
- Helm charts
- Argo CD sync
- Auto rollback
5.2: EKS Deep Dive
- EKS architecture
- Node groups
- IAM roles for service accounts
- Networking (CNI)
- Cluster upgrades
5.3: AKS Deep Dive
- AKS architecture
- Node pools
- Azure CNI vs Kubenet
- Managed identities
- Cluster scaling & upgrades
5.4: Kubernetes Operations
- Helm charts
- Ingress controllers
- Auto-scaling (HPA)
- Rolling & canary deployments
- Backup & disaster recovery
- HPA & autoscaling
- Blue/Green & Canary
- Secrets management
- Backup strategies
- Zero-downtime upgrades
Project 6:
Highly Available Microservice Deployment
- Load balancing
- Rolling updates
- Canary deployment
- Failover testing
Project 6:
- Deploy apps to EKS & AKS
- Helm-based deployments
- Blue-green & rolling updates
AI Tools Used
- Lens AI – cluster diagnostics
- ChatGPT – manifest & Helm generation
- Kubescape AI – security posture
MODULE 6: DevSecOps (SECURITY BUILT-IN)
Modern DevSecOps Tools
- Checkov
- Trivy
- GitHub Advanced Security (concepts)
- OPA / Conftest
- Pod Security Standards
- RBAC hardening
- tfsec
- Snyk
- Secrets Scanning
- Dependency Scanning
- GitHub Secrets
- Azure DevOps Secure Variables
- AWS IAM Roles (OIDC)
- Azure Managed Identity
- HashiCorp Vault (overview)
6.1: DevSecOps Principles
- Shift-left security
- Security automation
- Compliance basics
6.2: Infrastructure Security
- Terraform scanning:
- Policy as Code (OPA basics)
- Least privilege IAM
- Code
- Infrastructure
- Pipeline
- Container
- Runtime
6.3: CI/CD Security
- Secrets scanning
- Secure pipeline design
- GitHub & Azure pipeline security
- Artifact integrity
6.4: Container & Kubernetes Security
- Image scanning (Trivy)
- Kubernetes RBAC
- Network policies
- Pod security standards
- Runtime security basics
SBOM generation
Image signing (Cosign)
Provenance (SLSA basics)
Artifact integrity checks
Hands-On
- AI-secured Terraform pipelines
- Secure Terraform pipelines
- Container image scanning
- Kubernetes RBAC implementation
Project 7:
- Secure CI/CD & Kubernetes Platform
- IaC scanning
- Image scanning
- RBAC policies
- Admission controls
- Secrets management
AI Tools Used
- Snyk AI – vulnerability explanation
- Trivy + AI prioritization
- GitHub Advanced Security (AI)
MODULE 7: Observability, Reliability & FinOps(AI-Enhanced)
Tools
- Prometheus
- Grafana
- CloudWatch
- Azure Monitor
- Cost Explorer
- Azure Cost Management
- GitHub Actions Logs
- Azure Pipeline Logs
- Slack / MS Teams (notifications)
Topics
- Monitoring vs logging vs tracing
- AWS CloudWatch
- Azure Monitor
- Kubernetes monitoring
- Alerts & incident basics
- Cost optimization (FinOps intro)
- Resource tagging & cost tracking
Hands-On
- Monitoring EKS & AKS
- Cost analysis dashboards
AI Tools Used
- AWS DevOps Guru
- Azure Monitor AI
- Datadog / New Relic AI
- Kubecost AI
- AI-based anomaly detection
MODULE 8: CAPSTONE PROJECT
End-to-End Multi-Cloud DevOps Project
Certification Alignment
- AWS DevOps Engineer – Professional
- AZ-400 Azure DevOps Engineer
- Terraform Associate
