DevOps Roadmap

Navigation, permissions, processes, pipes, services, logs. Everything in this field — containers, servers, pipelines — is Linux underneath, and the terminal is where you will live.

IP, DNS, ports, HTTP, firewalls. When deployments break, the cause is remarkably often 'the network path is not what you assumed' — being able to check beats being able to guess.

Branching strategies, merge conflicts, pull requests. In DevOps, Git is not just where code lives — it becomes the source of truth for infrastructure and pipelines too.

Bash for glue, Python for anything longer than twenty lines. Automation is the job; scripting is how you do it.

Read about the culture: shortening the path from commit to production, shared ownership, feedback loops. The tooling only makes sense as a means to that end — and interviews probe for this understanding.

Write Dockerfiles, understand images versus containers, volumes, networks, and why containers solved the 'works on my machine' problem. This is the fundamental unit of modern deployment.

On every push: install, lint, test, build. Hosted CI services are free for small projects, and one working pipeline you built yourself teaches more than any course.

Make the green build deploy automatically to a real environment. The moment a push goes live without manual steps, you understand viscerally what all the tooling is for.

Compute, storage, networking, identity/permissions on any major provider — the concepts transfer between all of them. Stay on free tiers; the skill is in the architecture, not the bill.

Uptime checks, log aggregation, a basic dashboard, one alert. If you cannot see it, you cannot operate it — observability separates deploying from operating.

Define servers, networks and permissions in declarative files instead of clicking consoles. Reviewable, repeatable, disposable infrastructure is the single biggest mindset shift in the field.

Pods, deployments, services, ingress — on a local cluster first. Not every team needs Kubernetes, but its ideas (desired state, reconciliation, self-healing) now shape the entire industry.

Secret managers, least-privilege access, scanning dependencies. Pipelines have production credentials, which makes them a favorite attack target — build the habits before the incident.

When a request dies somewhere between DNS, load balancer, container and database, methodical elimination is the skill. Break your own lab setups on purpose and practice finding out why.

Cloud bills are architecture feedback. Knowing roughly what compute, storage and traffic cost — and designing accordingly — is a professional skill that many engineers painfully lack.

An application (yours or open source) with containers, CI/CD, infrastructure as code, monitoring, and a written architecture overview. One coherent end-to-end system is worth more than ten disconnected tool tutorials.

How to deploy, how to roll back, what to check when it breaks. Runbooks prove operational maturity — and writing them exposes every gap in your own understanding.

Open-source projects need CI fixes, Dockerfiles and docs constantly. Working within someone else's constraints is the closest simulation of the actual job.

Rebuild your setup with new tools occasionally; retire what you would not choose again. The field evolves, but with these fundamentals each new tool is a variation, not a restart.