DevOps Engineer Learning Path
Master infrastructure automation, containerization, CI/CD, and cloud platforms
Path Overview
DevOps engineers bridge development and operations, focusing on automation, infrastructure as code, continuous integration/continuous deployment, and system reliability. This path covers containerization, orchestration, cloud platforms, monitoring, and automation tools.
The path progresses from fundamentals to advanced topics, with hands-on projects at each stage. Estimated time: 6-12 months. For related paths, see our Backend Developer Path or Cloud Architect Path.
DevOps skills are in high demand as organizations adopt cloud-native architectures and automation. This path prepares you for roles in infrastructure engineering, site reliability engineering, and DevOps consulting.
Linux Fundamentals
Master Linux command line, file system, process management, networking, and shell scripting. Learn system administration basics, package management, and service configuration. Linux is the foundation of most DevOps tools and cloud infrastructure.
Practice with virtual machines or cloud instances. Learn to troubleshoot system issues, manage users and permissions, configure networking, and write bash scripts for automation. Understanding Linux is essential for all DevOps work.
Version Control and Git
Master Git for version control. Learn branching strategies, collaboration workflows, and Git operations. Understand how version control integrates with CI/CD pipelines and infrastructure as code.
Practice with GitHub, GitLab, or Bitbucket. Learn Git workflows like Git Flow and GitHub Flow. Understand merge vs. rebase, resolving conflicts, and managing releases. For Git fundamentals, see our Git guide.
Containerization with Docker
Learn Docker fundamentals: images, containers, Dockerfiles, Docker Compose, networking, and volumes. Master container best practices, multi-stage builds, and image optimization.
Build containerized applications, create custom images, manage container lifecycle, and use Docker Compose for multi-container applications. For comprehensive Docker coverage, see our Docker Essentials guide and DevOps & Infrastructure documentation.
Container Orchestration with Kubernetes
Master Kubernetes for orchestrating containers at scale. Learn pods, services, deployments, ConfigMaps, Secrets, and advanced scheduling. Understand cluster architecture and administration.
Deploy applications to Kubernetes, manage scaling, implement health checks, and handle configuration. Learn Helm for package management and operators for advanced automation. For deep dive, see our Kubernetes guide.
Infrastructure as Code
Learn Terraform for provisioning cloud infrastructure declaratively. Master Terraform modules, state management, and best practices. Understand infrastructure versioning and collaboration.
Provision infrastructure on AWS, Azure, or GCP using Terraform. Learn Ansible for configuration management and automation. Understand when to use each tool. For cloud platforms, see our Cloud Computing guide.
CI/CD Pipelines
Build continuous integration and continuous deployment pipelines. Learn Jenkins, GitLab CI, GitHub Actions, or CircleCI. Implement automated testing, building, and deployment workflows.
Create pipelines that automatically test code, build artifacts, run security scans, and deploy to environments. Learn blue-green deployments, canary releases, and rollback strategies. Integrate with version control and container registries.
Monitoring and Observability
Implement comprehensive monitoring using Prometheus, Grafana, and ELK stack. Learn metrics, logs, and distributed tracing. Set up alerting and dashboards for system visibility.
Monitor infrastructure health, application performance, and business metrics. Implement log aggregation, set up alerting rules, and create dashboards. Understand SLIs, SLOs, and error budgets for reliability engineering.
Cloud Platforms
Master at least one major cloud platform: AWS, Azure, or GCP. Learn core services: compute, storage, networking, databases, and managed services. Understand cloud architecture patterns and cost optimization.
Deploy applications to cloud platforms, use managed services, implement auto-scaling, and optimize costs. Learn cloud security best practices and compliance. For comprehensive cloud coverage, see our Cloud Computing guide and Cloud Architect Path.