Developer career roadmap

DevOps and Cloud Engineer Roadmap

Automate delivery, operate Linux and cloud systems, use containers, and improve reliability through observability.

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Dependency-aware sequence

1
Command Line and Shell Essentials
Navigate files, run programs, combine commands, manage environment variables, and write safe shell scripts across major operating systems.
2
Git and GitHub
Track changes, create focused commits, work safely with branches, collaborate through pull requests, and recover from routine Git mistakes.
3
Linux Fundamentals
Use and troubleshoot Linux files, permissions, processes, packages, storage, services, logs, networking, and routine administration workflows.
4
Computer Networking Fundamentals
Explain how devices communicate, configure and troubleshoot basic IP networks, interpret DNS and DHCP behavior, and locate connection failures.
5
Docker and Containers
Build, run, secure, debug, connect, persist, test, and distribute containerized applications and multi-service development environments.
6
DevOps Foundations
Improve software delivery through collaboration, automation, configuration, infrastructure practices, observability, reliability, incident response, and feedback.
7
Continuous Integration and Delivery
Build secure, testable, versioned, observable, and recoverable pipelines for software integration, artifacts, releases, deployments, and rollback.
8
Cloud Computing Fundamentals
Design, deploy, secure, monitor, scale, govern, and estimate the cost of a small cloud-hosted system using portable architecture concepts.

Project ladder

Stage 1

Build evidence that combines the skills from the roadmap stages you have completed.

Stage 2

Build evidence that combines the skills from the roadmap stages you have completed.

Stage 3

Build evidence that combines the skills from the roadmap stages you have completed.

Extend your capability

Configure, secure, monitor, back up, restore, and troubleshoot Linux and Windows servers in a small-business or lab environment.

Deploy, expose, configure, secure, scale, observe, update, and troubleshoot containerized workloads on Kubernetes.

Design useful tests, separate unit and integration concerns, test error behavior, recognize unreliable tests, and create a balanced test strategy.