Certified DevOps Programmer

1. Building a Vocabulary for Effective Communication
2. Industry-Standard DevOps Terminologies
3. Enhancing Corporate Collaboration Through Terminology

1. Core Infrastructure Concepts
2. Modern Data Center Architectures
3. Bridging Traditional and Contemporary Infrastructures

1. Traditional Virtualization Techniques
2. Hands-On Experience with Virtualbox Administration
3. Resource Optimization Strategies

1. Fundamental Cloud Computing Concepts
2. Comparing Cloud and Traditional Data Centers
3. Preparing for a Cloud-Driven World

1. Exploring Modern Application Design Principles
2. Deep Dive into the 12 Factor App Methodology
3. Mastering the Art of Microservices Architecture

1. Understanding Cloud Environments
2. In-Depth Focus on Amazon Web Services (AWS)
3. Navigating the AWS Cloud Landscape

1. Essential Linux User Skills
2. Linux as the Primary Platform for DevOps Tools
3. Maximizing Linux Proficiency for Tool Deployment

1. Building a Strong Foundation in Scripting
2. Unlocking the Power of Algorithms and Coding Through Scripting
3. Automation Techniques for DevOps Processes

1. Transitioning from Scripting to Full-Fledged Programming
2. Harnessing the Power of Python and Ruby
3. Leveraging Programming for DevOps Automation

1. Vagrant as the Bedrock for Automation
2. Practical Application of DevOps Concepts with Vagrant
3. Accelerating Software Release Cycles Through Automation

1. What: Managed container platform
2. Why: Software Developers bundle their code with Docker in the model of Immutable Infrastructure-based application deployments. DevOps Programmers need to know how to enable developers by supplying appropriate Dockerfile codes to ease the bundling process.
3. Topics :-
   1. Introduction to Docker
   2. Docker Installation and Setup
   3. Building Docker Images
   4. Docker Compose
   5. Docker Networking
   6. Docker Volumes
   7. Docker for Application Deployment

1. What: Managed container orchestration platform
2. Why: New-age application deployments are all happening as microservices on some form of Kubernetes. As a DevOps programmer, it’s crucial to be well-versed with Kubernetes’s YAML coding.
3. Topics :-
   1. Introduction to Kubernetes
   2. Kubernetes Architecture
   3. Kubernetes Installation and Configuration
   4. Creating and Managing Pods
   5. Services and Networking in Kubernetes
   6. Deployments and ReplicaSets
   7. Helm Charts for Kubernetes
   8. Kubernetes Security and RBAC

1. What: Infrastructure Orchestration as Code
2. Why: Terraform is the most popular infrastructure as code solution for orchestrating API solutions and most cloud platforms. For a DevOps Programmer, the ability to control infrastructure as code is most crucial.
3. Topics :-
   1. Introduction to Terraform
   2. Terraform Installation and Configuration
   3. Understanding Terraform Syntax
   4. Creating Infrastructure with Terraform
   5. Terraform Modules and Workspaces
   6. Managing AWS Resources with Terraform
   7. Terraform Best Practices

1. What: Infrastructure Configuration Automation as Code
2. Why: Ansible is the fastest-growing infrastructure as code solution for managing servers. DevOps Programmers should know the three major DevOps coding languages – Puppet, Chef, and Ansible.
3. Topics :- 
   1. Introduction to Ansible
   2. Ansible Installation and Configuration
   3. Ansible Playbooks
   4. Ansible Modules
   5. Inventory Management
   6. Ansible Roles
   7. Ansible Vault for Secrets
   8. Integrating Ansible with Other Tools

1. What: Infrastructure Configuration Automation as Code
2. Why: Chef is a highly scalable agent-based infrastructure as code solution for managing servers. DevOps Programmers should know the three major DevOps coding languages – Puppet, Chef, and Ansible.
3. Topics :-
   1. Introduction to Chef
   2. Setting Up Chef Workstation
   3. Writing Chef Recipes
   4. Managing Nodes with Chef
   5. Chef Cookbooks
   6. Role-Based Configuration
   7. Testing and Debugging with Chef
   8. Chef Server Configuration

1. What: Infrastructure Configuration Automation as Code
2. Why: Puppet is one of the first enterprise agent-based infrastructure as code solutions for managing servers. DevOps Programmers should know the three major DevOps coding languages – Puppet, Chef, and Ansible.
3. Topics :-
   1. Introduction to Puppet
   2. Puppet Installation and Configuration
   3. Puppet Manifests
   4. Puppet Modules
   5. Puppet Forge and Puppetfile
   6. Puppet Hiera for Data Management
   7. Puppet Bolt for Ad-Hoc Tasks
   8. Puppet Best Practices

1. What: Cloud-based CI/CD as Code
2. Why: GitHub is the most popular development platform. A DevOps Programmer is expected to understand how to work on GitHub and use GitHub Actions as a CI/CD Solution.
3. Topics :-
   1. Introduction to GitHub Actions
   2. Setting Up GitHub Actions Workflows
   3. Creating Custom Actions
   4. CI/CD with GitHub Actions
   5. Building and Testing Code
   6. Deploying Applications with GitHub Actions
   7. GitHub Actions Security
   8. Integrating GitHub Actions with Other Tools

1. What: CI/CD
2. Why: Jenkins is the leading CI/CD platform, and a DevOps Programmer should know the Jenkins pipeline DSL to manage Jenkins as code.
3. Topics :-
   1. Introduction to Jenkins Pipelines
   2. Declarative vs. Scripted Pipelines
   3. Building CI/CD Pipelines
   4. Pipeline DSL Syntax
   5. Jenkinsfile Configuration
   6. Artifacts and Dependencies
   7. Pipeline as Code Best Practices
   8. Jenkins Blue Ocean for Visual Pipelines

1. What: Infrastructure Monitoring
2. Why: Specialized monitoring tools for DevOps implementations are a crucial but often neglected part of an end-to-end DevOps automation. A fully automated pipeline should also integrate with monitoring tools.
3. Topics :-
   1. Introduction to Monitoring
   2. Setting Up Nagios Monitoring
   3. Nagios Plugins and NRPE
   4. Prometheus Monitoring Stack
   5. Configuring Prometheus for Alerts
   6. Grafana for Visualization
   7. Creating Dashboards in Grafana
   8. Monitoring Best Practices

These projects are designed to reinforce the skills and concepts covered in the DevOps Programmer course. They provide hands-on experience in working with real-world DevOps scenarios and tools.

Project 1: Dockerizing an Application

• Description: Dockerize a sample web application (e.g., a simple web server) and create a Docker image. Set up a Docker Compose file to run the application along with any required services (e.g., a database).
• Skills Gained: Docker fundamentals, containerization, Docker Compose, application deployment.

Project 2: Kubernetes Deployment

• Description: Deploy the Dockerized application from the first project onto a Kubernetes cluster. Create Kubernetes manifests for deploying pods, services, and ingress controllers. Implement rolling updates and scaling.
• Skills Gained: Kubernetes basics, deploying applications in Kubernetes, scaling, rolling updates.

Project 3: Infrastructure as Code with Terraform

• Description: Write Terraform code to provision cloud infrastructure on AWS (e.g., virtual machines, networking components). Use Terraform modules to manage resources efficiently.
• Skills Gained: Terraform basics, infrastructure provisioning, Terraform modules.

Project 4: Configuration Management with Ansible

• Description: Create Ansible playbooks to automate the configuration of multiple servers. Perform tasks such as software installation, user management, and configuration file updates.
• Skills Gained: Ansible automation, playbook development, configuration management.

Project 5: CI/CD Pipeline with Jenkins

• Description: Set up a CI/CD pipeline using Jenkins. Configure Jenkins jobs to build, test, and deploy a sample application. Integrate it with version control (e.g., GitHub) and automate the deployment process.
• Skills Gained: Jenkins configuration, CI/CD pipeline creation, automation.

Project 6: Monitoring and Alerting

• Description: Implement monitoring for the infrastructure and applications using tools like Nagios, Prometheus, and Grafana. Set up alerts based on predefined thresholds and visualize performance metrics.
• Skills Gained: Monitoring setup, alerting, visualization.

Project 7: Infrastructure as Code with CloudFormation

• Description: Create AWS CloudFormation templates to provision and manage AWS resources. Deploy an infrastructure stack that includes EC2 instances, security groups, and other resources.
• Skills Gained: AWS CloudFormation, infrastructure provisioning on AWS.

Project 8: Multi-Tool Integration

• Description: Build a comprehensive DevOps toolchain by integrating various tools learned in the course. Automate the end-to-end process of code development, testing, deployment, and monitoring.
• Skills Gained: Toolchain integration, end-to-end automation.