DevOps Training

Just Practical DevOps – Delivering Results, Not Theories!

Technologies We Cover

AWS AWS Cloud
GitHub GitHub
Jenkins Jenkins
Docker Docker
Kubernetes Kubernetes
Terraform Terraform
Ansible Ansible
ArgoCD ArgoCD
Helm Helm
Prometheus Prometheus
Grafana Grafana

Comprehensive DevOps Training Syllabus

Here's a comprehensive DevOps syllabus with suggested projects to provide hands-on experience. The syllabus is divided into modules covering core concepts, tools, and practices essential for a DevOps role.

1. Introduction to DevOps

  • What is DevOps?
  • Benefits of DevOps
  • DevOps lifecycle
  • DevOps tools overview
  • Agile vs. DevOps
Project: Create a presentation or blog explaining the DevOps lifecycle and its benefits in real-world scenarios.

2. Version Control Systems (VCS)

  • Introduction to Git
  • Installing and configuring Git
  • Git workflows (branching, merging, rebasing)
  • GitHub, GitLab, and Bitbucket
  • Pull requests and code reviews
Project: Set up a Git repository, manage branches, and demonstrate collaborative code management using GitHub.

3. Continuous Integration/Continuous Deployment (CI/CD)

  • CI/CD concepts
  • Jenkins setup and configuration
  • Pipeline creation (declarative and scripted)
  • Integration with Git, Docker, and testing tools
  • Popular alternatives: GitHub Actions, GitLab CI, CircleCI
Project: Build a CI/CD pipeline in Jenkins for a sample Java or Node.js application.

4. Infrastructure as Code (IaC)

  • Introduction to IaC
  • Basics of Terraform
  • Writing Terraform configurations
  • Managing state and modules
  • AWS/GCP/Azure provisioning with Terraform
Project: Use Terraform to provision a multi-tier application infrastructure on AWS.

5. Configuration Management

  • Introduction to Ansible
  • Playbooks and roles
  • Configuration of web servers, databases, and load balancers
  • Ansible Vault for secret management
Project: Write Ansible playbooks to automate the deployment of a web application (e.g., WordPress).

6. Containerization

  • What are containers?
  • Introduction to Docker
  • Dockerfile, Docker Compose
  • Docker Hub and private registries
  • Container orchestration basics
Project: Containerize a sample application (e.g., Flask or Spring Boot) and deploy it using Docker Compose.

7. Container Orchestration

  • Introduction to Kubernetes
  • Kubernetes architecture (pods, services, deployments)
  • Setting up a Kubernetes cluster (Minikube/MicroK8s/managed service)
  • Helm charts for deployment
Project: Deploy a multi-container application on Kubernetes using Helm.

8. Cloud Computing

  • Overview of cloud providers (AWS, GCP, Azure)
  • Core services: Compute, Storage, Networking
  • Cloud CLI and SDKs
  • Monitoring and cost management
Project: Deploy a scalable application on AWS EC2 instances with load balancing and auto-scaling.

9. Monitoring and Logging

  • Importance of monitoring in DevOps
  • Tools: Prometheus, Grafana, ELK stack
  • Setting up alerts and dashboards
  • Log aggregation and analysis
Project: Monitor system metrics and application logs using Prometheus and Grafana.

10. Security in DevOps (DevSecOps)

  • Secure coding practices
  • Vulnerability scanning with tools (e.g., Snyk, Trivy)
  • Secrets management (e.g., HashiCorp Vault)
  • Setting up secure CI/CD pipelines
Project: Integrate a security scan in a CI/CD pipeline using Snyk.

11. Advanced DevOps Concepts

  • Site Reliability Engineering (SRE) basics
  • Chaos engineering and fault tolerance
  • Service mesh (Istio/Linkerd)
  • Advanced Kubernetes (Operators, Network Policies)
Project: Implement Chaos Engineering using LitmusChaos to test application resilience.

12. Soft Skills for DevOps

  • Collaboration tools (Slack, Microsoft Teams)
  • Effective communication with teams
  • Managing incident response
Project: Conduct a mock incident response drill and create a postmortem report.

Capstone Project

Develop an end-to-end DevOps pipeline for a real-world application:

  1. Code version control using GitHub
  2. CI/CD pipeline with Jenkins or GitHub Actions
  3. Infrastructure provisioning with Terraform
  4. Configuration management with Ansible
  5. Deploy a containerized application on Kubernetes
  6. Set up monitoring with Prometheus and Grafana
  7. Secure the pipeline with vulnerability scans

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