Devops-aws-azure

Home Devops-aws-azure

Creating a comprehensive DevOps course involves covering a wide range of topics that span development, operations, continuous integration/continuous deployment (CI/CD), and more. Here’s an outline for a DevOps course:

 

Module 1: Introduction to DevOps

 

·        What is DevOps?

  • History and evolution of DevOps
  • DevOps principles and practices

·        Benefits of DevOps

  • Improved collaboration
  • Faster delivery and deployment
  • Enhanced security and quality

·        DevOps Culture

  • Collaboration and communication
  • Shift-left approach
  • Fail-fast mindset

 

Module 2: Version Control Systems

 

·        Introduction to Version Control

  • Importance of version control in DevOps

·        Git Basics

  • Installing Git
  • Git commands (clone, commit, push, pull, merge, )
  • Branching and merging strategies

·        GitHub/GitLab

  • Repository management
  • Pull requests and code reviews

 

Module 3: Continuous Integration (CI)

 

·        CI Concepts

  • Definition and benefits of CI
  • CI pipeline stages

·        Tools for CI

  • Jenkins, Travis CI, CircleCI
  • Setting up a Jenkins pipeline

·        Building and Testing Code

  • Automated testing (unit, integration, end-to-end)
  • Static code analysis
  • Artifact management

 

Module 4: Continuous Delivery and Deployment (CD)

 

·        CD Concepts

 

  • Continuous Delivery Continuous Deployment

·        Tools for CD

  • Jenkins, GitLab CI/CD, CircleCI
  • Setting up a CD pipeline

·        Deployment Strategies

  • Blue-green deployment
  • Canary releases
  • Rolling updates

·        Infrastructure as Code (IaC)

  • Introduction to IaC
  • Tools (Terraform, AWS CloudFormation, Ansible)
  • Writing and managing IaC scripts

 

Module 5: Containerization

 

·        Introduction to Containers

  • Benefits of containerization
  • Differences between VMs and containers

·        Docker Basics

  • Installing Docker
  • Docker commands (build, run, push, pull, etc.)
  • Dockerfile and Docker Compose

·        Container Orchestration

  • Introduction to Kubernetes
  • Kubernetes architecture
  • Managing Kubernetes clusters
  • Deploying applications to Kubernetes

 

Module 6: Configuration Management

 

·        Introduction to Configuration Management

  • Importance and benefits

·        Tools for Configuration Management

  • Ansible, Chef, Puppet
  • Writing Ansible playbooks

·        Infrastructure as Code revisited

  • Advanced concepts and best practices

 

Module 7: Monitoring and Logging

 

·        Importance of Monitoring and Logging

  • Types of monitoring (infrastructure, application, performance)

·        Tools for Monitoring

  • Prometheus, Grafana, Nagios
  • Setting up monitoring for applications

·        Logging Solutions

 

  • ELK Stack (Elasticsearch, Logstash, Kibana)
  • Centralized logging with Fluentd and Graylog

 

Module 8: Security in DevOps

 

·        Introduction to DevSecOps

  • Shifting security left

·        Security Practices

  • Static and dynamic analysis
  • Dependency scanning
  • Secret management

·        Tools for Security

  • OWASP ZAP, Snyk, Aqua Security

 

Module 9: Cloud Providers and Services

 

·        Introduction to Cloud Computing

  • Benefits of cloud computing
  • Types of cloud services (IaaS, PaaS, SaaS)

·        Major Cloud Providers

  • AWS, Azure, Google Cloud Platform
  • Overview of services offered by each provider

·        Deploying Applications to the Cloud

  • Setting up cloud infrastructure
  • CI/CD pipelines for cloud deployments

 

Module 10: Advanced Topics

 

·        Site Reliability Engineering (SRE)

  • SRE principles and practices

·        Serverless Architecture

  • Introduction to serverless
  • AWS Lambda, Azure Functions, Google Cloud Functions

·        Microservices

  • Designing and deploying microservices
  • Service mesh (Istio, Linkerd)

 

Module 11: DevOps Best Practices and Trends

 

·        DevOps Metrics and KPIs

  • Measuring DevOps success

·        Best Practices

  • Continuous improvement
  • Learning from failures

·        Future Trends in DevOps

  • AI and machine learning in DevOps

 

  • GitOps
  • Edge computing

 

Module 12: Final Project

 

·        Capstone Project

  • Applying the learned concepts
  • Setting up a complete CI/CD pipeline
  • Deploying a microservice-based application to a cloud provider
  • Implementing monitoring and logging
  • Ensuring security and compliance

 

Each module should include a mix of theoretical knowledge, hands-on labs, and real-world case studies to provide a comprehensive understanding of DevOps practices and tools.