DevOps is a collaborative approach that aims to automate and streamline software delivery and infrastructure changes by integrating development and IT operations. It emphasizes communication, integration, and automation to accelerate the deployment of high-quality applications while maintaining security and reliability.

Technical Requisits:

  • Linux Systems and server management.
  • Command-line interface (CLI):
    • CLIs including sh, Bash, PowerShell
    • shell configuration files
  • Task Scheduling Systems. E.g. CronJobs
  • log management tools
  • Backup Management
  • Nginx and Apache server management
  • Compiling different software from source
  • Configuration management and remote execution tools, such as Ansible
  • Continuous Integration/Continuous Delivery(CI/CD) tools such as Jenkins
  • Containers such as Docker and container Orchestration tools such as Kubernetes
  • Container orchestration
  • A Version Control System such as Git and a distributed service provider for it.
  • Database Management System (DBMS) including MySQL, SQLite, and Postgresql
  • Caching services such as memcached or redis
  • System Architecture


  • DevOps focuses on breaking down barriers between teams and promoting collaboration, leading to faster and more efficient development.
  • Automation in DevOps reduces human errors and speeds up processes, resulting in improved quality and reliability of software.
  • DevOps aims to reduce the time from code creation to deployment into production without compromising quality and security.
  • DevOps relies on a set of tools (toolchain) to facilitate automation, code integration, and deployment.
  • The Continuous Integration/Continuous Delivery (CI/CD) model of DevOps allows for faster and more frequent releases, leading to higher Customer Satisfaction.
  • DevOps also promotes scalability and flexibility, allowing companies to adapt to changing market needs and scale up their operations seamlessly.
  • Adopting DevOps practices requires cultural and organizational changes, in addition to technological adaptations.
  • Monitoring and measuring metrics are crucial in optimizing a DevOps workflow and identifying areas for improvement.