AWS DevOps Training in Perungudi

• DevOps lifecycle, Agile methodologies, and Site Reliability Engineering (SRE) basics
• Linux file system, user management, permissions, and process monitoring
• Bash scripting for task automation and environment setup
• Git architecture, branching strategies, and collaborative workflows
• GitHub/GitLab repository management, pull requests, and code reviews
• Introduction to DevOps metrics (DORA metrics) and continuous improvement

Beginner Automate Linux server setup and app deployment via Bash script, managed via structured Git workflows.

• AWS global infrastructure, IAM roles, policies, and least-privilege access
• Compute services: EC2 instance types, Auto Scaling, and Elastic Load Balancing (ELB)
• Storage solutions: S3 bucket policies, lifecycle rules, and EBS volume management
• Networking fundamentals: VPC, subnets, route tables, NAT gateways, and security groups
• Database basics: RDS provisioning and DynamoDB NoSQL fundamentals
• AWS CLI and CloudShell for efficient command-line resource management

Beginner to Intermediate Deploy a highly available, fault-tolerant 3-tier web application architecture within a custom AWS VPC.

• IaC principles, benefits, and comparison of Terraform vs. CloudFormation vs. CDK
• Terraform core: providers, resources, variables, outputs, and state management
• Building reusable Terraform modules for standardized infrastructure
• Remote state backends (S3 + DynamoDB) and state locking mechanisms
• Introduction to AWS CDK (Cloud Development Kit) using Python or TypeScript
• Automated infrastructure testing and drift detection

Intermediate Provision a complete, multi-environment AWS infrastructure using reusable, modular Terraform code.

• Containerization concepts vs. traditional virtual machines
• Writing optimized, multi-stage Dockerfiles for minimal image size
• Docker networking, volumes, and environment variable management
• Docker Compose for orchestrating multi-container local development environments
• Container security best practices and image vulnerability scanning
• Pushing, managing, and securing images in Amazon Elastic Container Registry (ECR)

Intermediate Containerize a microservices application and securely store images in Amazon ECR with automated vulnerability scanning.

• CI/CD architecture, stages, and the shift-left testing philosophy
• Building automated pipelines using GitHub Actions or GitLab CI
• AWS native CI/CD: CodeCommit, CodeBuild, CodeDeploy, and CodePipeline
• Implementing automated unit, integration, and security testing in the pipeline
• Blue-Green and Canary deployment strategies for zero-downtime releases
• Pipeline as Code: versioning and managing pipeline configurations

Intermediate to Advanced Build a GitHub Actions pipeline automatically building, testing, and deploying containerized apps to AWS ECS.

• Introduction to configuration management and idempotency concepts
• Ansible architecture: inventory, playbooks, roles, and variables
• Automating AWS EC2 provisioning and configuration with Ansible
• Advanced Bash and Python scripting for AWS API interactions (Boto3)
• Secrets management using AWS Secrets Manager and HashiCorp Vault
• Automating routine cleanup and backup tasks via AWS Lambda and EventBridge

Intermediate Create an Ansible playbook automatically configuring a fleet of EC2 instances and deploying applications.

• Kubernetes architecture: control plane, worker nodes, and core objects
• Advanced Kubernetes: ConfigMaps, Secrets, Ingress controllers, and persistent storage
• Amazon EKS cluster creation, node group management, and IRSA
• Horizontal and Vertical Pod Autoscaling (HPA/VPA) and Cluster Autoscaler
• Kubernetes networking (CNI) and service mesh fundamentals (AWS App Mesh)
• Troubleshooting Kubernetes clusters and analyzing pod failures

Advanced Deploy a scalable microservices application on Amazon EKS with automated scaling and custom Ingress routing.

• GitOps principles and the declarative infrastructure model
• Installing and configuring ArgoCD or Flux for Kubernetes continuous delivery
• Managing Helm charts for templating and packaging Kubernetes applications
• Implementing progressive delivery: Canary releases and feature flags
• Synchronizing Git repositories with cluster state and handling drift
• Rollback strategies and automated remediation in GitOps workflows

Advanced Implement a GitOps workflow using ArgoCD to automatically sync and deploy Helm charts to EKS.

• DevSecOps culture and the "shift-left" security paradigm
• Static Application Security Testing (SAST) and Software Composition Analysis (SCA)
• Container and Kubernetes security scanning using tools like Trivy and Checkov
• AWS security services: GuardDuty, Security Hub, and AWS Config
• Network security: Web Application Firewall (WAF) and Shield integration
• Compliance as Code and automated security policy enforcement (OPA/Gatekeeper)

Advanced Build a secure CI/CD pipeline automatically blocking deployments if vulnerability scans detect critical flaws.

• Observability pillars: metrics, logs, and traces (OpenTelemetry fundamentals)
• AWS native monitoring: CloudWatch metrics, alarms, logs, and EventBridge
• Deploying and configuring Prometheus for metric collection in Kubernetes
• Building interactive, real-time dashboards using Grafana
• Centralized logging architecture with AWS OpenSearch or Fluent Bit
• Setting up automated alerting and incident response workflows (e.g., PagerDuty/Slack)

Advanced Create a Prometheus and Grafana observability stack monitoring EKS health with automated Slack alerts.

• Introduction to AI-driven DevOps and generative AI in software delivery
• Using Amazon Q Developer for code generation, refactoring, and pipeline scripting
• Implementing Amazon DevOps Guru for ML-powered operational insights and anomaly detection
• Automating incident investigation and root cause analysis using AI agents
• Integrating AI tools into existing CI/CD pipelines for intelligent code reviews
• Cost optimization and resource right-sizing recommendations using AWS AI tools

Advanced Integrate Amazon DevOps Guru to monitor applications and use Amazon Q to auto-generate remediation scripts.

• Architecting a resilient, multi-tier microservices application on AWS
• Implementing Infrastructure as Code for the entire stack (VPC, EKS, RDS, ECR)
• Building a secure, multi-stage GitOps CI/CD pipeline with automated testing
• Integrating comprehensive observability, logging, and AI-driven monitoring
• Performing load testing, chaos engineering, and disaster recovery drills
• Documenting the architecture, creating runbooks, and preparing for technical interviews

Expert Deliver a production-ready EKS microservices solution deployed via GitOps, monitored by AI, and fully documented.