DevOps combines culture, collaboration, automation, tools, and practices to help development and operations teams deliver software faster, more reliably, and more securely. It helps teams automate the complete software delivery process:
Plan → Code → Build → Test → Secure → Package → Deploy → Monitor → Improve
Follow this DevOps learning path in order. Learn the purpose of each technology, practice it, and build projects before moving to the next phase.
Phase 1: Learn DevOps Fundamentals
For understanding the complete software delivery process
Learn:
- What DevOps is
- Software Development Life Cycle
- Agile and Scrum
- DevOps lifecycle
- Development, testing, deployment, and operations
- Continuous Integration
- Continuous Delivery
- Continuous Deployment
- DevOps roles and responsibilities
Goal: Understand how software moves from source code to production.
Interview focus: Explain DevOps, CI/CD, Agile, and the software delivery lifecycle in simple English.
Phase 2: Learn Linux
For server administration, automation, security, and troubleshooting
Learn:
- Linux architecture
- Files and directories
- Users and groups
- File permissions
- Processes and services
- Package management
- Networking commands
- Logs and troubleshooting
- SSH and remote administration
- Bash fundamentals
- Apache, Nginx, and Tomcat basics
Practice project: Configure a Linux web server and deploy an application.
Phase 3: Learn Networking Fundamentals
For understanding how users, applications, servers, and cloud resources communicate
Learn:
- IP addresses
- Subnets and CIDR
- DNS
- Ports and protocols
- TCP and UDP
- HTTP and HTTPS
- Load balancers
- Firewalls
- Public and private networks
- Proxy and reverse proxy
- Network troubleshooting
Practice project: Design a basic three-tier network architecture.
Interview focus: Explain how a user request travels through DNS, a load balancer, an application server, and a database.
Phase 4: Learn Git and GitHub
For source code management, version control, collaboration, and change tracking
Learn:
- Version control fundamentals
- Git installation and configuration
- Repository creation
- Clone, add, commit, push, and pull
- Branching and merging
- Pull requests
- Merge conflicts
- Git tags and releases
.gitignore- GitHub collaboration workflow
- Basic branching strategies
Practice project: Manage an application using feature branches and pull requests.
Portfolio requirement: Store every DevOps project on GitHub with a clear README file.
Phase 5: Learn Bash and Python
For scripting, task automation, API integration, and reducing manual work
Bash
Learn:
- Variables
- Conditions
- Loops
- Functions
- Exit codes
- File processing
- Command-line arguments
- Scheduled scripts using cron
Python
Learn:
- Variables and data types
- Conditions and loops
- Functions
- Files
- Exceptions
- Modules
- JSON processing
- API requests
- Basic AWS automation using Boto3
Practice project: Create scripts that monitor disk usage, check services, analyze logs, and send alerts.
Phase 6: Learn Maven and SonarQube
For building applications, managing dependencies, testing code, and checking code quality
Learn:
- Application build process
- Maven fundamentals
- Maven build lifecycle
- Dependencies
pom.xml- JAR and WAR files
- Unit testing
- SonarQube code-quality scanning
- Artifact repositories
Optional later:
- Ant
- Gradle
- JFrog Artifactory
Practice project: Build, test, and scan a Java application using Maven and SonarQube.
Phase 7: Learn Jenkins and GitHub Actions
For Continuous Integration, Continuous Delivery, and deployment automation
Learn:
- CI/CD stages
- Jenkins architecture
- Jenkins installation
- Jobs and pipelines
- Jenkinsfile
- Declarative pipelines
- GitHub Actions workflows
- YAML fundamentals
- Webhooks
- Build, test, scan, and deployment stages
- Credentials and secrets
- Jenkins agents and GitHub runners
- Approval gates
- Notifications
- Rollbacks
- Pipeline troubleshooting
Practice project:
GitHub → Jenkins → Maven → SonarQube → Tomcat
Phase 8: Learn Docker
For packaging applications and running them consistently across different environments
Learn:
- Containers versus virtual machines
- Docker architecture
- Images and containers
- Dockerfile
- Image layers
- Volumes
- Docker networks
- Environment variables
- Docker Compose
- Docker Hub
- Amazon ECR
- Image optimization
- Container security
- Docker troubleshooting
Practice project: Containerize an application and deploy it through a Jenkins pipeline.
Interview focus: Explain the difference between an image, container, Dockerfile, volume, and network.
Phase 9: Learn Ansible
For server configuration management, software installation, and deployment automation
Learn:
- Configuration management
- Ansible architecture
- Inventory
- Ad hoc commands
- Playbooks
- Modules
- Variables
- Templates
- Handlers
- Roles
- Ansible Vault
- Error handling
- Jenkins and Ansible integration
Practice project: Use Ansible to configure Linux servers and deploy Docker containers.
Phase 10: Learn Kubernetes
For container orchestration, scaling, high availability, self-healing, and application management
Learn:
- Kubernetes architecture
- Control plane and worker nodes
- Pods
- ReplicaSets
- Deployments
- Services
- ConfigMaps
- Secrets
- Namespaces
- Persistent volumes
- Ingress
- Health checks
- Resource requests and limits
- Rolling updates
- Rollbacks
- Autoscaling
- Kubernetes troubleshooting
Practice project: Deploy and scale a highly available application on Kubernetes.
Phase 11: Learn AWS
For building, securing, scaling, and managing cloud infrastructure
Learn these core AWS services:
- IAM
- EC2
- VPC
- Subnets and route tables
- Internet Gateway
- NAT Gateway
- Security Groups
- Network ACLs
- Application Load Balancer
- Auto Scaling
- S3
- EBS
- EFS
- RDS
- Route 53
- CloudWatch
- SNS
- ECR
- ECS Fargate
- EKS
- Lambda
Learn these AWS DevOps services:
- CodeBuild
- CodeDeploy
- CodePipeline
Practice project: Build a highly available three-tier application on AWS.
Security focus: Apply least-privilege IAM, encryption, private networking, monitoring, and backups.
Phase 12: Learn Terraform
For creating, changing, and managing cloud infrastructure through code
Learn:
- Infrastructure as Code fundamentals
- Providers
- Resources
- Variables
- Outputs
- Terraform state
- Remote state using Amazon S3
- State locking
- Modules
- Workspaces
- Lifecycle rules
- Importing existing resources
- Terraform plan and apply
- CI/CD integration
Learn CloudFormation Later
Understand:
- Templates
- Parameters
- Resources
- Outputs
- Stacks
- Change sets
Practice project: Provision a complete AWS environment using Terraform.
Phase 13: Learn Monitoring and Logging
For tracking system health, application performance, failures, and operational issues
Learn the three main observability signals:
- Metrics
- Logs
- Traces
Focus on:
- AWS CloudWatch
- Prometheus
- Grafana
- Dashboards
- Alerting
- Log aggregation
- Incident response
- Root-cause analysis
Optional later:
- ELK Stack
- Datadog
Practice project: Monitor Kubernetes using Prometheus and Grafana.
Phase 14: Learn DevSecOps
For integrating security into source code, infrastructure, containers, and CI/CD pipelines
Learn:
- IAM least privilege
- Secrets management
- KMS encryption
- Static code analysis
- Dependency scanning
- Trivy container scanning
- Infrastructure scanning
- Security controls in CI/CD
- AWS WAF and Shield
- GuardDuty
- AWS Config
- CloudTrail
- Compliance automation
Practice project: Build a secure CI/CD pipeline that scans code, dependencies, container images, and infrastructure before deployment.
Phase 15: Learn Helm, Argo CD, and GitOps
For advanced Kubernetes application packaging and continuous deployment
Learn:
- Helm charts
- Helm templates and values
- Argo CD
- GitOps principles
- Declarative deployments
- Application synchronization
- Automated rollback
- Microservices
- Service discovery
- High availability
- Disaster recovery
- Backup strategies
- Cost optimization
- Site Reliability Engineering
- SLIs, SLOs, and SLAs
- Incident and change management
Practice project: Deploy an application to Amazon EKS using GitHub, Helm, and Argo CD.
Best DevOps Project Order
Complete projects in this order:
- Linux web-server deployment
- Git and GitHub source code workflow
- Bash and Python automation scripts
- Jenkins, Maven, SonarQube, and Tomcat pipeline
- Dockerized application pipeline
- Jenkins, Ansible, and Docker deployment
- Kubernetes application deployment
- AWS three-tier infrastructure
- Terraform AWS infrastructure
- GitHub Actions, ECR, and ECS Fargate pipeline
- EKS, ALB, and Route 53 deployment
- Prometheus and Grafana monitoring
- Secure DevSecOps pipeline
- GitOps deployment using Helm and Argo CD
When Are You Ready for a DevOps Job?
You are ready to start applying when you can:
- Explain the complete software delivery lifecycle
- Administer and troubleshoot Linux servers
- Manage source code using Git and GitHub
- Write basic Bash and Python scripts
- Build a working CI/CD pipeline
- Create and troubleshoot Docker containers
- Deploy applications on Kubernetes
- Build and secure AWS infrastructure
- Provision infrastructure using Terraform
- Configure monitoring and alerts
- Apply basic DevSecOps controls
- Explain your projects clearly during interviews
You do not need to master every DevOps tool before applying.
Build three or four strong projects, document them on GitHub, prepare interview explanations, and continue learning while applying for jobs.
GitHub Portfolio Checklist
Every project should include:
- Project overview
- Business problem
- Architecture diagram
- Tools used
- Installation steps
- Configuration files
- Screenshots
- Problems encountered
- Troubleshooting steps
- Security controls
- Final results
- Cleanup instructions
Best DevOps Project Order
Complete projects in this order:
- Linux web-server deployment
- Git and GitHub workflow
- Bash and Python automation scripts
- Jenkins, Maven, SonarQube, and Tomcat pipeline
- Dockerized application pipeline
- Jenkins, Ansible, and Docker deployment
- Kubernetes application deployment
- AWS three-tier infrastructure
- Terraform AWS infrastructure
- GitHub Actions, ECR, and ECS Fargate
- EKS, ALB, and Route 53
- Prometheus and Grafana monitoring
- Secure DevSecOps pipeline
- GitOps deployment using Argo CD
When Are You Job-Ready?
You are ready to start applying when you can:
- Explain the complete CI/CD workflow
- Administer and troubleshoot Linux
- Use Git through a team-based workflow
- Write basic Bash and Python automation
- Build a working CI/CD pipeline
- Create and troubleshoot Docker containers
- Deploy applications on Kubernetes
- Build AWS infrastructure
- Provision infrastructure using Terraform
- Configure monitoring and alerts
- Apply basic DevSecOps controls
- Explain your projects clearly during interviews
You do not need to master every tool before applying.
Build three or four strong projects, document them properly, and continue learning while applying for jobs.
GitHub Portfolio Checklist
Every project should include:
- Clear README
- Business problem
- Architecture diagram
- Tools used
- Installation steps
- Configuration files
- Screenshots
- Problems encountered
- Troubleshooting steps
- Security controls
- Final results
- Cleanup instructions
Recommended Learning Method
For every DevOps topic, follow this structure:
What it is → Why it is used → How it works → Main components → Installation → Commands → Real example → Common errors → Interview questions → Practical project
Do not only watch tutorials. Build, break, troubleshoot, document, and explain every project.