Complete DevOps Mastery – Hands-On DevOps Engineering & Cloud Automation Trainingin Chennai

Module 1: Introduction to DevOps Engineering

• DevOps principles, culture, and lifecycle
• DevOps versus traditional software development
• Collaboration between development and operations teams
• Continuous Integration, Continuous Delivery, and Continuous Deployment
• DevOps tools ecosystem and implementation strategies

Module 2: Linux Fundamentals and Command-Line Administration

• Linux architecture, file systems, and directory management
• Essential Linux commands and shell navigation
• User permissions, ownership, and process management
• Package installation and system administration
• Bash scripting fundamentals for task automation

Module 3: Git and Version Control Management

• Git installation, configuration, and repository creation
• Branching, merging, commits, and version history
• Conflict resolution and collaborative development workflows
• Remote repositories using GitHub or similar platforms
• Source code versioning and change management practices

Module 4: Python and Shell Scripting for DevOps

• Python fundamentals for infrastructure automation
• Bash scripting for routine administrative tasks
• Variables, loops, conditions, and functions
• File handling, command execution, and error management
• Automation scripts for repetitive operational workflows

Module 5: Continuous Integration with Jenkins

• Jenkins architecture, installation, and configuration
• Jenkins jobs, plugins, and build automation
• Pipeline creation using Jenkinsfiles
• Git repository integration and automated builds
• Build triggers, test execution, and pipeline troubleshooting

Module 6: Continuous Integration and Continuous Delivery (CI/CD)

• CI/CD pipeline architecture and workflow design
• Automated build, test, and deployment stages
• Pipeline configuration and environment variables
• Artifact management and release automation
• Deployment approvals, rollback strategies, and pipeline optimisation

Module 7: Docker Containerisation

• Containerisation concepts and Docker architecture
• Docker images, containers, volumes, and networks
• Dockerfile creation and image optimisation
• Docker Compose for multi-container applications
• Container registries, image versioning, and security fundamentals

Module 8: Kubernetes Container Orchestration

• Kubernetes architecture and cluster components
• Pods, Deployments, Services, and Namespaces
• ConfigMaps, Secrets, and persistent storage fundamentals
• Application scaling, rolling updates, and rollback management
• Container health checks, troubleshooting, and workload monitoring

Module 9: Infrastructure as Code with Terraform

• Infrastructure as Code principles and benefits
• Terraform installation, providers, resources, and variables
• Configuration files, modules, and reusable templates
• Terraform state management and execution plans
• Automated infrastructure provisioning and change management

Module 10: Configuration Management with Ansible

• Ansible architecture, installation, and inventory management
• Playbooks, tasks, variables, and handlers
• Configuration automation across multiple servers
• Roles and reusable automation structures
• Application configuration and infrastructure consistency

Module 11: Cloud Computing and Cloud Automation

• Cloud computing concepts and service models
• Cloud infrastructure fundamentals using AWS, Azure, or Google Cloud
• Virtual machines, networking, storage, and identity access basics
• Cloud resource provisioning and deployment automation
• Cloud security, cost awareness, and environment management

Module 12: Application Deployment and Release Management

• Application packaging and deployment strategies
• Development, testing, staging, and production environments
• Blue-green, rolling, and canary deployment concepts
• Release versioning and artifact promotion
• Deployment validation, rollback planning, and release coordination

Module 13: DevSecOps and Pipeline Security

• Security integration throughout the DevOps lifecycle
• Secrets management and secure configuration practices
• Dependency scanning and vulnerability assessment fundamentals
• Container image security and access control
• Security checks within CI/CD pipelines and compliance awareness

Module 14: Monitoring, Logging, and Observability

• Monitoring fundamentals and service health indicators
• Application logs, infrastructure metrics, and event analysis
• Prometheus and Grafana fundamentals
• Dashboards, alerts, and performance monitoring
• Troubleshooting incidents and identifying reliability issues

Module 15: Site Reliability Engineering (SRE) Fundamentals

• SRE principles and reliability-focused engineering
• Service Level Indicators (SLIs), Objectives (SLOs), and Agreements (SLAs)
• Availability, scalability, and performance considerations
• Incident response, root cause analysis, and post-incident reviews
• Error budgets and continuous service improvement

Module 16: Automated Testing and Quality Engineering

• Software testing within DevOps workflows
• Unit, integration, and smoke testing concepts
• Automated test execution in CI/CD pipelines
• Test reports, quality gates, and failure analysis
• Continuous feedback and release quality improvement

Module 17: DevOps Networking and Infrastructure Troubleshooting

• DNS, IP addressing, ports, HTTP/HTTPS, and load balancing
• Network connectivity checks and service discovery
• Reverse proxies and application traffic management
• Infrastructure and deployment failure diagnosis
• Troubleshooting methods for distributed application environments

Module 18: GitOps and Modern Deployment Workflows

• GitOps principles and declarative infrastructure management
• Git-based configuration and deployment workflows
• Desired-state reconciliation concepts
• Kubernetes deployment management with GitOps tools
• Change tracking, deployment consistency, and rollback practices

Module 19: DevOps Best Practices and Workflow Optimisation

• Reusable pipeline design and automation standards
• Environment consistency and configuration management
• Build optimisation and deployment efficiency
• Collaboration, documentation, and operational handovers
• Continuous improvement through feedback and performance metrics

Module 20: Capstone Project – End-to-End DevOps Implementation

• Design a complete software delivery workflow
• Manage source code using Git
• Configure automated CI/CD pipelines
• Containerise an application using Docker
• Deploy workloads to Kubernetes or a suitable cloud environment
• Automate infrastructure provisioning and configuration
• Integrate monitoring, logging, and basic security checks
• Test deployment workflows and document the final implementation