DevOps Complete Roadmap

Course Objective:

• Understand DevOps culture, principles, lifecycle, tools, automation, and modern software delivery practices.
• Build a strong foundation in Linux, networking, Git, scripting, cloud computing, containers, and infrastructure.
• Learn CI/CD pipelines, Docker, Kubernetes, Terraform, Ansible, cloud platforms, monitoring, logging, and security.
• Practice real-world DevOps workflows through automation, deployment, infrastructure, troubleshooting, and production-style projects.
• Build a professional DevOps portfolio and prepare for DevOps, Cloud Engineer, Platform Engineer, and SRE interviews.

1

DevOps Fundamentals & Culture

• What is DevOps?
• DevOps culture and principles
• Development vs Operations
• DevOps lifecycle
• Continuous Integration
• Continuous Delivery and Deployment
• Infrastructure as Code
• Automation concepts
• DevOps roles and responsibilities
• DevOps tools ecosystem
• DevOps vs Agile
• DevOps vs SRE

2

Linux Fundamentals

• Linux architecture
• Linux distributions
• File system structure
• Files and directories
• File permissions
• Users and groups
• Processes and services
• Package management
• SSH and remote administration
• Environment variables
• System logs
• Disk and memory management

3

Linux Administration & Troubleshooting

• Process management
• systemd and services
• Crontab and scheduled jobs
• Log analysis
• Networking commands
• Disk partitions and mounting
• File system troubleshooting
• CPU and memory troubleshooting
• Linux security basics
• SSH key authentication
• Server hardening basics

4

Networking Fundamentals

• OSI and TCP/IP models
• IP addressing
• Public and private IP addresses
• Subnetting
• DNS fundamentals
• DHCP concepts
• HTTP and HTTPS
• TCP and UDP
• Ports and protocols
• Routing basics
• Firewalls
• Load balancing concepts

5

Git & Version Control

• What is version control?
• Git architecture
• Git installation and configuration
• Repositories
• Commits and branches
• Merge and rebase
• Git tags
• Stash and reset
• Cherry-pick
• Conflict resolution
• Git workflows
• Pull requests and code reviews

6

GitHub & Collaboration

• GitHub repositories
• Branches and pull requests
• Issues and project management
• Code reviews
• Branch protection
• GitHub Actions overview
• Secrets management
• Repository permissions
• Release management
• GitHub project portfolio

7

Shell Scripting & Automation

• Bash fundamentals
• Variables and data types
• Conditions
• Loops
• Functions
• Arrays
• Command substitution
• Exit codes
• Input and output handling
• Text processing with grep, sed, and awk
• Shell automation projects

8

Python for DevOps

• Python fundamentals
• Variables and data types
• Conditions and loops
• Functions
• Lists, tuples, dictionaries, and sets
• File handling
• Exception handling
• JSON and YAML processing
• REST API automation
• Cloud automation with Python
• DevOps automation scripts

9

Cloud Computing Fundamentals

• What is cloud computing?
• IaaS, PaaS, and SaaS
• Public, private, and hybrid cloud
• Regions and availability zones
• Compute services
• Storage services
• Networking services
• Identity and access management
• Cloud monitoring
• High availability concepts
• Cloud cost fundamentals

10

AWS Cloud Fundamentals

• AWS global infrastructure
• EC2 instances
• AMI and instance lifecycle
• S3 storage
• IAM users, groups, roles, and policies
• VPC fundamentals
• Subnets and route tables
• Internet and NAT gateways
• Security groups and network ACLs
• Elastic Load Balancing
• Auto Scaling
• CloudWatch fundamentals

11

Azure / Multi-Cloud Fundamentals

• Microsoft Azure overview
• Azure subscriptions and resource groups
• Virtual machines
• Virtual networks
• Storage accounts
• Azure identity and access
• Load balancing concepts
• Azure monitoring
• AWS vs Azure service mapping
• Multi-cloud concepts

12

Docker & Containerization

• What are containers?
• Containers vs virtual machines
• Docker architecture
• Docker installation
• Images and containers
• Dockerfile
• Docker volumes
• Docker networks
• Docker registries
• Docker Compose
• Container troubleshooting
• Build and deploy containerized applications

13

Jenkins & CI/CD Fundamentals

• What is CI/CD?
• Continuous integration
• Continuous delivery
• Continuous deployment
• Jenkins architecture
• Jenkins installation
• Jobs and pipelines
• Jenkins agents
• Credentials management
• Jenkinsfile
• Pipeline stages
• Automated application deployment

14

GitHub Actions & Modern CI/CD

• GitHub Actions fundamentals
• Workflow files
• Events and triggers
• Jobs and steps
• Runners
• Environment variables
• Secrets
• Build automation
• Testing automation
• Docker image pipelines
• Cloud deployment pipelines
• Approval and environment controls

15

Infrastructure as Code with Terraform

• Infrastructure as Code concepts
• Terraform architecture
• Providers
• Resources
• Variables
• Outputs
• Data sources
• Terraform state
• Remote state
• Modules
• Workspaces
• Terraform plan and apply
• Terraform best practices

16

Ansible & Configuration Management

• Configuration management concepts
• Ansible architecture
• Inventory
• Ad-hoc commands
• Playbooks
• Variables and facts
• Handlers
• Roles
• Templates
• Jinja2 basics
• Secrets with Ansible Vault
• Server provisioning automation

17

Kubernetes Fundamentals

• What is Kubernetes?
• Kubernetes architecture
• Control plane and worker nodes
• Pods
• ReplicaSets
• Deployments
• Services
• Namespaces
• ConfigMaps
• Secrets
• Labels and selectors
• kubectl commands

18

Kubernetes Advanced

• Ingress
• Persistent volumes
• Storage classes
• StatefulSets
• DaemonSets
• Jobs and CronJobs
• Resource requests and limits
• Health checks and probes
• Horizontal Pod Autoscaling
• Rolling deployments
• Cluster troubleshooting
• Production Kubernetes architecture

19

Helm & Kubernetes Packaging

• What is Helm?
• Helm charts
• Chart structure
• Values files
• Templates
• Helm repositories
• Release management
• Environment-specific configurations
• Versioning
• Deploy applications using Helm

20

Monitoring & Observability

• Monitoring fundamentals
• Metrics, logs, and traces
• Prometheus fundamentals
• Grafana dashboards
• Alerting concepts
• Application monitoring
• Infrastructure monitoring
• Kubernetes monitoring
• Centralized logging concepts
• ELK / Elastic Stack overview
• OpenTelemetry overview
• SLI, SLO, and SLA concepts

21

DevOps Security & DevSecOps

• DevSecOps fundamentals
• Secure software lifecycle
• Secrets management
• IAM best practices
• Least privilege
• SSH security
• Container security
• Image vulnerability scanning
• Dependency scanning
• Static application security testing
• Infrastructure security
• Security in CI/CD pipelines

22

GitOps & Advanced Deployment

• GitOps principles
• Declarative infrastructure
• Argo CD overview
• Application synchronization
• Git-based deployments
• Environment promotion
• Blue-green deployment
• Canary deployment
• Rolling deployment
• Feature flags overview
• Deployment rollback strategies

23

SRE & Production Engineering

• Site Reliability Engineering fundamentals
• SLI, SLO, and SLA
• Error budgets
• Incident management
• On-call practices
• Production troubleshooting
• Root cause analysis
• Capacity planning
• Reliability engineering
• Disaster recovery
• Business continuity concepts
• Post-incident reviews

24

Professional DevOps Projects & Career

• Build a complete CI/CD pipeline
• Containerize a real application
• Deploy applications on Kubernetes
• Provision cloud infrastructure using Terraform
• Configure servers using Ansible
• Implement monitoring with Prometheus and Grafana
• Build centralized logging
• Implement DevSecOps scanning
• Build a GitOps deployment workflow
• Create a production-style cloud architecture
• Document projects using GitHub README files
• Prepare DevOps resume and interview portfolio

Skills You'll Gain:

• Strong understanding of DevOps principles, culture, lifecycle, and software delivery practices.
• Linux administration, networking, shell scripting, and server troubleshooting skills.
• Git, GitHub, branching strategies, collaboration, and code review experience.
• Hands-on experience with Docker, containerization, and container-based application deployment.
• CI/CD pipeline development using Jenkins, GitHub Actions, and modern automation practices.
• Infrastructure as Code skills using Terraform and configuration management using Ansible.
• Cloud engineering knowledge across AWS, Azure, and modern cloud architectures.
• Kubernetes administration, application deployment, scaling, networking, and troubleshooting.
• Monitoring, logging, observability, incident management, and SRE fundamentals.
• DevSecOps practices including secrets management, vulnerability scanning, and secure pipelines.
• GitOps and advanced deployment strategies such as blue-green and canary deployments.
• A professional portfolio containing real-world DevOps projects and automation workflows.

Duration:

Typically 6 months for a complete beginner-to-professional DevOps roadmap. The timeline depends on your programming knowledge, Linux experience, cloud practice, project depth, and the amount of hands-on lab work completed.

Certification:

Select certifications according to your target role and cloud platform. Possible paths include AWS, Microsoft Azure, Kubernetes, Terraform, and Linux-related certifications. Always verify the current official exam objectives and availability before registering. Certification should complement hands-on DevOps projects.