Vaitheeswaran

Years of Experience in DevOps Training

18

Years of Experience in Kubernetes

8

Years of Experience in Terraform

18

Teaching Experience in detail in Terraform

Terraform - Infrastructure as Code (IaC) Training Experience With over 18 years of experience in Cloud and DevOps, I specialize in teaching Terraform, focusing on real-world applications and use cases. My Terraform training is designed to help students understand the core concepts and advanced features of Infrastructure as Code (IaC) using Terraform, with an emphasis on hands-on labs and real-time project scenarios. In my training sessions, I cover: Fundamentals of Terraform Introduction to Infrastructure as Code (IaC) and Terraform's role in automating cloud infrastructure. Understanding Terraform configurations, providers, and state management. Terraform Workflow Step-by-step guidance on writing, planning, and applying Terraform configurations. Best practices for structuring Terraform projects. Provisioning Cloud Infrastructure Creating and managing resources across various cloud platforms, with a primary focus on AWS, GCP, and Azure. Practical exercises in provisioning VPCs, EC2 instances, S3 buckets, security groups, and more using Terraform. Modules and Reusability Developing reusable, modular Terraform code to simplify and streamline deployments across multiple environments. Hands-on projects for creating and using Terraform modules effectively. State Management and Backend Configuration Deep dive into Terraform state, remote backends, and locking mechanisms to ensure safe and scalable infrastructure management. Examples of working with backends such as AWS S3, Google Cloud Storage, and Azure Blob Storage. Workspaces and Environments Using workspaces to manage different environments (development, staging, production) within Terraform, ensuring smooth CI/CD workflows. Integration with CI/CD Pipelines Setting up and automating Terraform within CI/CD pipelines (GitLab CI/CD, Jenkins), enabling automated deployments and infrastructure updates. Handling Infrastructure Changes and Drift Best practices for managing infrastructure changes, version control with Terraform, and handling drift between desired and actual states. Collaboration and Security Collaboration techniques for teams using Terraform, including using version control systems like Git for Terraform code. Security best practices such as securing sensitive data with Terraform, managing access control, and utilizing remote backends securely. Advanced Topics Implementing complex Terraform workflows such as multi-cloud setups, large-scale infrastructure automation, and disaster recovery strategies. Integrating Terraform with tools like Ansible and Packer for end-to-end infrastructure automation.

Years of Experience in IT Automation Infrastructure Automation

18

Teaching Experience in detail in IT Automation Infrastructure Automation

With 18+ years of expertise in Cloud and DevOps, I bring a wealth of experience in teaching Ansible, focusing on automating IT infrastructure and simplifying configuration management across multi-tier systems. My Ansible training is tailored to ensure students can apply automation skills to real-world environments, enabling efficient and scalable IT operations. In my Ansible training, I cover: 1. Introduction to Ansible Overview of IT automation and configuration management. Understanding Ansible architecture, components (inventory, playbooks, tasks, modules), and its agentless nature. Why Ansible is favored for automation across cloud and on-premise infrastructures. 2. Setting Up Ansible Environment Hands-on sessions on installing and configuring Ansible on different platforms (Linux, AWS, GCP, and Azure). Creating and managing static and dynamic inventories for different environments. 3. Ansible Playbooks and Roles Writing Ansible playbooks from scratch, using YAML syntax. Structuring tasks, handlers, variables, and conditionals for efficient automation workflows. Introduction to Ansible Roles for organizing playbooks into reusable and modular components. Hands-on projects that build complex playbooks to automate tasks like software installation, system updates, and configuration changes across multiple servers. 4. Modules and Customization Deep dive into Ansible modules (such as command, shell, file, package, service, user, and more) for automating common administrative tasks. Writing and integrating custom modules for more specific automation needs. 5. Configuration Management and Orchestration Automating configuration management for cloud environments (AWS, GCP, Azure), containerized applications (Docker, Kubernetes), and on-premises servers. Managing complex, multi-tier application deployments with Ansible orchestration. Use cases in automating web server configurations, database setups, and deploying applications in a repeatable, consistent manner. 6. Ansible Galaxy and Collections Leveraging Ansible Galaxy to find, download, and use pre-built roles and collections. Best practices for sharing roles and creating your own collections for internal usage. 7. Ansible Vault and Security Encrypting sensitive data using Ansible Vault for secure storage and handling of credentials, API keys, and passwords. Real-world examples of managing security credentials in automation workflows. 8. Ansible in DevOps and CI/CD Pipelines Integrating Ansible into CI/CD pipelines using tools like GitLab CI/CD, Jenkins, and Azure DevOps for automated deployments and continuous delivery. Practical examples of how Ansible fits into the larger DevOps ecosystem, automating both infrastructure and application provisioning. 9. Ansible for Cloud Automation Automating cloud infrastructure provisioning, management, and scaling in AWS, Google Cloud, and Azure using Ansible. Real-world projects where students automate multi-cloud and hybrid cloud setups, manage instances, configure VPCs, security groups, and deploy scalable applications. 11. Real-Time Project Experience Throughout the training, students work on real-time projects where they implement end-to-end automation of environments, from basic tasks like package installations to complex orchestration involving cloud deployments and multi-tier applications. Scenario-based labs focused on troubleshooting and handling errors in Ansible automation, preparing students to resolve real-world challenges.

Years of Experience in Linux Training

18