Basharat Hussain

Basharat Hussain

Mr. Basharat Hussain, working on deep learning, federated learning, intelligent transportation, large language models and image/motion diffusion.

DevOps & Cloud Computing MSCS (CS-5021)

Course, Fast University, CS Department, 2024

Course Description

This advanced course delves into the practices of DevOps and the architecture of cloud computing, with a dedicated focus on Amazon Web Services (AWS). It equips students with the skills to design, deploy, and manage scalable and resilient applications using AWS tools and DevOps methodologies.

Key Topics Covered:

  • DevOps Fundamentals:
    • Overview of the DevOps lifecycle: continuous integration, continuous delivery, and automation.
    • Core principles: collaboration, agility, and Infrastructure as Code (IaC).
  • Version Control and CI/CD Pipelines:
    • Hands-on with Git and GitHub for source control.
    • Building CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy.
  • Infrastructure as Code (IaC):
    • Automating infrastructure provisioning with AWS CloudFormation.
    • Managing configurations and environments using AWS Systems Manager.
  • AWS Cloud Foundations:
    • Introduction to AWS core services: EC2, S3, RDS, and Lambda.
    • Exploring AWS compute, storage, and networking services.
  • Containerization and Orchestration:
    • Building and managing containers using Docker on AWS.
    • Deploying and scaling applications with Amazon Elastic Kubernetes Service (EKS).
  • Monitoring and Logging:
    • Application and infrastructure monitoring with Amazon CloudWatch.
    • Centralized logging using Amazon OpenSearch Service (formerly Elasticsearch).
  • Security and Compliance:
    • Identity and Access Management (IAM) for secure access control.
    • DevSecOps best practices and AWS security tools (e.g., AWS Inspector, KMS).

Learning Outcomes:

By the end of the course, students will:

  • Master AWS services for deploying and managing cloud-based applications.
  • Build CI/CD pipelines using AWS tools for seamless integration and deployment.
  • Automate infrastructure provisioning and management using AWS CloudFormation.
  • Design and scale containerized applications using Docker and Amazon EKS.
  • Monitor and optimize system performance using Amazon CloudWatch.
  • Implement security best practices within AWS environments.

Hands-On Labs and Projects:

  • Develop a CI/CD pipeline using AWS CodePipeline and CodeDeploy for a real-world application.
  • Automate infrastructure setup with AWS CloudFormation templates.
  • Deploy and manage containerized microservices using Amazon EKS.
  • Configure and analyze application performance using CloudWatch and OpenSearch Service.

This course bridges the gap between DevOps principles and practical cloud computing skills, enabling students to excel in AWS-based DevOps roles.