DevOps Roadmap: Linux, Git, Docker, Kubernetes, Jenkins, AWS

DevOps Roadmap: Linux, Git, Docker, Kubernetes, Jenkins, AWS, Terraform & CI/CD | TKTips.org

DevOps Roadmap

Master Linux, Git, Docker, Kubernetes, Jenkins, AWS, Terraform & CI/CD pipelines with this comprehensive learning path designed for developers and sysadmins.

Your DevOps Learning Journey

1
Linux Fundamentals
Master the command line, shell scripting, and system administration
2
Git & Version Control
Learn branching, merging, and collaborative workflows
3
Docker & Containers
Containerize applications with Docker images and containers
4
Kubernetes
Orchestrate containers at scale with K8s
5
Jenkins
Automate CI/CD pipelines
6
AWS Cloud
Deploy and manage cloud infrastructure
7
Terraform
Infrastructure as Code (IaC)
8
CI/CD Mastery
End-to-end automation pipelines
Linux Fundamentals
The foundation of DevOps and cloud infrastructure

Why Linux is Essential for DevOps

Linux powers over 90% of public cloud workloads and is the operating system of choice for servers, containers, and cloud infrastructure. As a DevOps engineer, you’ll spend most of your time working in Linux environments.

Key Areas to Master

Start with basic command line navigation (cd, ls, pwd) and progress to file permissions, process management, shell scripting (Bash), package management, and networking. Understanding Linux internals will help you troubleshoot performance issues and optimize system configurations.

Core Linux Concepts

  • File System Hierarchy: Understand /etc, /var, /usr, /home directories
  • Permissions: chmod, chown, and special permissions
  • Process Management: ps, top, kill, systemd services
  • Networking: netstat, ss, iptables/firewalld
  • Shell Scripting: Automate tasks with Bash scripts
  • Package Management: apt/yum/dnf for software installation
Linux Architecture
User applications interact with the shell, which communicates with the kernel to manage hardware resources. Understanding this hierarchy is crucial for system optimization and troubleshooting.
Git & Version Control
Collaborative development and code management

Version Control in DevOps

Git is the foundation of modern software development and DevOps practices. It enables collaboration, tracks changes, and integrates with CI/CD pipelines for automated testing and deployment.

Beyond Basic Commits

Master advanced Git workflows like feature branching, rebasing, cherry-picking, and resolving merge conflicts. Understand how Git hooks can automate tasks and how to structure repositories for monorepos vs microservices.

Essential Git Skills

  • Branching Strategies: Git Flow, GitHub Flow, Trunk-Based Development
  • Collaboration: Pull Requests, Code Reviews, Forking Workflow
  • Advanced Operations: rebase, cherry-pick, bisect, submodules
  • Git Hooks: Automate pre-commit checks and deployment triggers
  • Platform Integration: GitHub, GitLab, Bitbucket workflows
Git Branching Workflow
A typical Git Flow with main, develop, feature, release, and hotfix branches. This structure supports parallel development while maintaining stable production code.
Docker & Containerization
Package applications with dependencies for consistent deployment

The Container Revolution

Docker solves the “it works on my machine” problem by packaging applications and dependencies into portable containers. Containers are lightweight, isolated, and consistent across environments.

From Dockerfiles to Orchestration

Start with creating Dockerfiles, building images, and running containers. Progress to Docker Compose for multi-container applications, Docker networking, volumes, and best practices for security and optimization.

Docker Core Concepts

  • Images & Containers: Immutable images vs running containers
  • Dockerfile: Create efficient, secure Docker images
  • Docker Compose: Define and run multi-container apps
  • Registry: Docker Hub, Azure Container Registry, ECR
  • Networking: Bridge, host, overlay networks
  • Storage: Volumes, bind mounts, tmpfs
Container Architecture
Containers share the host OS kernel but run isolated processes. Docker sits between the OS and containers, managing resources and providing isolation through namespaces and cgroups.
Kubernetes (K8s)
Container orchestration at scale

Production-Grade Container Management

Kubernetes automates deployment, scaling, and management of containerized applications. It handles load balancing, self-healing, rolling updates, and resource optimization across clusters.

K8s Architecture and Resources

Understand the master-worker node architecture, pods, services, deployments, configmaps, and secrets. Learn to use kubectl, write YAML manifests, and implement ingress controllers for external access.

Kubernetes Key Components

  • Control Plane: API Server, etcd, Scheduler, Controller Manager
  • Worker Nodes: Kubelet, Container Runtime, Kube-proxy
  • Workloads: Pods, Deployments, StatefulSets, DaemonSets
  • Networking: Services, Ingress, Network Policies
  • Storage: PersistentVolumes, PersistentVolumeClaims
  • Configuration: ConfigMaps, Secrets
Kubernetes Cluster
A Kubernetes cluster with master nodes controlling worker nodes where application pods run. Services provide stable network endpoints, and the ingress controller manages external traffic.
Jenkins CI/CD
Automation server for continuous integration and delivery

Automating the Software Delivery Pipeline

Jenkins is the most popular open-source automation server that enables developers to build, test, and deploy applications automatically. It integrates with virtually every tool in the DevOps ecosystem.

From Freestyle Jobs to Pipeline as Code

Start with creating simple freestyle jobs, then progress to Jenkins Pipeline (declarative and scripted). Learn to manage Jenkins agents, secure your installation, and implement blue-green deployments.

Jenkins Core Concepts

  • Pipelines: Declarative vs Scripted, Jenkinsfile
  • Agents: Masters, workers, and cloud agents
  • Plugins: Extending Jenkins functionality
  • Integrations: Git, Docker, Kubernetes, AWS
  • Security: Role-based access control, credentials
  • Best Practices: Pipeline libraries, shared libraries
Jenkins Pipeline
A typical CI/CD pipeline: Code commit triggers Jenkins, which runs tests, builds Docker images, pushes to registry, deploys to Kubernetes, and runs integration tests.
AWS Cloud
Cloud infrastructure and services

The Leading Cloud Platform

AWS provides over 200 fully-featured services from data centers globally. Understanding AWS is essential as most organizations use cloud services for their infrastructure.

Core Services for DevOps

Focus on compute (EC2, Lambda), storage (S3, EBS), networking (VPC, Route 53), databases (RDS, DynamoDB), and management tools (CloudWatch, IAM). Learn to design highly available and scalable architectures.

AWS Services for DevOps

  • Compute: EC2, ECS, EKS, Lambda, Fargate
  • Storage: S3, EBS, EFS, Glacier
  • Databases: RDS, DynamoDB, ElastiCache
  • Networking: VPC, Route 53, CloudFront, API Gateway
  • Management: CloudWatch, CloudFormation, IAM
  • Integration: SNS, SQS, Step Functions
AWS Architecture
A multi-tier AWS architecture with public and private subnets, load balancers, auto-scaling groups, managed databases, and serverless components for a resilient cloud application.
Terraform (Infrastructure as Code)
Define and provision infrastructure using code

Infrastructure as Code (IaC)

Terraform allows you to define both cloud and on-prem resources in human-readable configuration files that you can version, reuse, and share. It manages the full lifecycle of infrastructure.

Declarative Infrastructure Management

Learn Terraform syntax (HCL), providers, state management, modules, and workspaces. Understand how to create reusable modules and implement best practices for team collaboration and production deployments.

Terraform Core Concepts

  • Configuration: HCL syntax, resources, data sources
  • State Management: terraform.tfstate, remote backends
  • Modules: Reusable infrastructure components
  • Providers: AWS, Azure, Google Cloud, Kubernetes
  • Workspaces: Environment isolation
  • CI/CD Integration: Automated terraform apply
Terraform Workflow
Write Terraform config β†’ terraform init β†’ terraform plan β†’ terraform apply. Terraform builds a dependency graph and creates/updates resources to match the desired state.
End-to-End CI/CD Pipeline

Bringing all DevOps tools together in an automated pipeline that delivers software from code to production.

Code Commit
Developer pushes code to Git repository
CI Pipeline
Jenkins triggers build, runs tests
Containerize
Build Docker image, push to registry
Infrastructure
Terraform provisions cloud resources
Deploy
Kubernetes deploys new version
Monitor
CloudWatch monitors performance
DevOps Success Formula

True DevOps mastery comes from integrating all these tools into cohesive workflows. Focus on automation, measurement, and sharing. Start with a simple pipeline and gradually add complexity. Remember that DevOps is as much about culture and collaboration as it is about tools.