VGC Training

DevOps and Software Development Automation

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Introduction

The DevOps and Software Development Automation course is a cutting-edge training program in the field of information technology, focusing on integrating development and operations to accelerate the software development lifecycle and improve product quality. This course introduces DevOps methodologies that enhance collaboration between development and operations teams, enabling faster and more reliable application delivery. Participants will learn about automation tools, Continuous Integration (CI), Continuous Delivery (CD), containerization using Docker, and orchestration with Kubernetes, along with infrastructure as code practices. The course also covers monitoring, performance optimization, and operational excellence strategies. It is designed for organizations aiming to achieve efficient digital transformation, reduce operational errors, and increase innovation speed by automating and streamlining software development processes using modern tools and best practices.

Objectives

  • Understand DevOps concepts and practices
  • Implement continuous integration and delivery
  • Use automation tools in software development
  • Manage containers using Docker
  • Work with Kubernetes for orchestration
  • Apply infrastructure as code principles
  • Monitor systems and optimize performance
  • Enhance collaboration between teams

Target Audience

  • Software engineers and developers
  • IT teams in organizations
  • System and infrastructure engineers
  • Technical project managers
  • Companies adopting DevOps practices
  • Automation and digital transformation specialists
  • Operations and server professionals

Content Outline

Module 1 – Introduction to DevOps

  • DevOps concepts and importance
  • Collaboration culture
  • Software development lifecycle
  • Agile and DevOps principles
  • Benefits of automation
  • Overview of tools

Module 2 – Continuous Integration and Delivery

  • CI/CD concepts
  • Pipeline setup
  • Tools like Jenkins and GitLab
  • Version control
  • Automated testing
  • Application deployment

Module 3 – Containers and Application Management

  • Introduction to Docker
  • Creating images and containers
  • Container management
  • Introduction to Kubernetes
  • Deploying applications in containers
  • Service management

Module 4 – Infrastructure as Code

  • Infrastructure as Code concept
  • Tools like Terraform and Ansible
  • Configuration management
  • Automating infrastructure deployment
  • Managing environments
  • Operational efficiency

Module 5 – Monitoring and Optimization

  • System monitoring
  • Performance analysis
  • Log management
  • Alerting and response
  • Process optimization
  • Ensuring service continuity

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