DevOps Roadmap
DevOps Engineer
DevOps is not a tool, it is shortening the loop between writing code and running it safely in production. The sequence that works is Linux and networking first, then Git and scripting, then containers, then CI/CD, then one cloud, then infrastructure as code, and only then Kubernetes — which is where people who skipped the foundations get stuck.
By the end: Take an application from a repository to a monitored production deployment.
The DevOps Engineer Roadmap
Linux and Networking~2 months
Understand the machine before automating it. Everything later assumes this.
Linux command line
Files, permissions, processes and logs. You will live here, mostly over SSH with no GUI.
Processes and services
systemd, daemons and what actually happens when something will not start.
Networking fundamentals
IP, DNS, TCP, TLS and ports. Most "the deploy is broken" turns out to be one of these.
SSH and remote access
Keys not passwords, config files, tunnels and agent forwarding.
Shell scripting
Automate the repetitive work. Your first pipelines will be shell whether you plan that or not.
Scheduling with cron
Recurring jobs, and why the environment inside cron is not the one in your shell.
Git and Collaboration~1 month
Source control is the entry point for every pipeline you will build.
Git in depth
Beyond commit and push: rebase, cherry-pick, bisect and recovering from a bad reset.
Branching strategy
Trunk-based or GitFlow — pick one deliberately, because it shapes your release process.
Versioning and releases
Semantic versioning and conventional commits, so changelogs and releases can be automated.
One scripting language
Python or Go for the tools that outgrow bash — which happens sooner than expected.
Containers~1 month
Package an application so it runs identically everywhere.
Docker fundamentals
Images, layers, volumes and networks. Build one by hand before generating any.
Writing a good Dockerfile
Multi-stage builds, cache-friendly layer order and a non-root user.
Docker Compose
Run an app with its database and cache locally, in one file.
Registries and image security
Push, tag, scan. A base image with known CVEs is a supply-chain problem you inherited.
Reverse proxies
Nginx in front: TLS termination, routing and static files.
CI/CD~1 month
Make going to production boring.
Pipeline fundamentals
Build, test, scan, deploy. Every tool differs in syntax and agrees on the shape.
GitHub Actions
Workflows, runners, matrices and caching, on the platform most teams already use.
Another CI system
GitLab CI or Jenkins, so you can read a pipeline you did not write.
Deployment strategies
Blue-green, canary and rolling — and how each one rolls back.
Secrets in pipelines
Injected at runtime, masked in logs, rotated on a schedule. Never committed.
Feature flags
OptionalSeparate deploy from release, so shipping code and enabling it are different decisions.
Cloud and Infrastructure as Code~2 months
Stop configuring servers by hand.
One cloud, properly
AWS by default. Compute, storage, networking and identity — the four primitives everything else sits on.
Cloud IAM
Least privilege, roles over long-lived keys. The most commonly misconfigured thing in cloud.
Cloud networking
VPCs, subnets, security groups and why your instance cannot reach the internet.
Terraform
Declare infrastructure, review the plan, apply. State management is the part that bites.
Configuration management
Ansible for the machines that are not immutable — and there are always some.
Cost awareness
Know what your architecture costs. Nobody else on the team is going to check.
Kubernetes and Observability~1 month
Only now — with Linux, containers and one cloud already understood.
Kubernetes fundamentals
Pods, deployments, services and the reconciliation loop that drives all of it.
Kubernetes networking and storage
Services, ingress, persistent volumes — where most real cluster problems live.
Helm and configuration
Package and template manifests instead of copying YAML between environments.
GitOps
The repository is the desired state and a controller reconciles the cluster to it.
Monitoring and alerting
Prometheus and Grafana, with alerts that fire on symptoms rather than on causes.
Incident response and SRE
On-call, postmortems and error budgets. The cultural half of the job, and the half that lasts.
Frequently Asked Questions
Can I get into DevOps without being a developer first?
Yes, and many arrive from system administration or support. You do need to write code — scripting, pipeline definitions and infrastructure as code are all code, and get reviewed like code. What you do not need is years of application development.
Do I need to learn Kubernetes straight away?
No, and starting there is the classic mistake. Kubernetes is a distributed system that assumes you already understand Linux, networking, containers and process management. Learn Docker and deploy something to a plain server first; Kubernetes then makes sense instead of feeling like magic.
Which cloud should I learn?
AWS has the largest market share and the most job postings, so it is the safe default. Azure dominates in enterprises with Microsoft estates and GCP is strong in data and ML. Learn one deeply — the second cloud takes weeks, because the concepts are identical and only the names change.
Is DevOps a good first job?
It is a difficult first job, because you are trusted with production on day one and the blast radius of a mistake is large. A common and effective route is one to two years in development, support or sysadmin work first, then a move across.