DevOps Engineer Roadmap
Step-by-step guide to becoming a DevOps Engineer in 2026. A complete, sequenced learning path that takes you from Linux and Git fundamentals to containers, Kubernetes, CI/CD, Infrastructure as Code, cloud and observability.
Every DevOps engineer starts on the command line. Get comfortable with Linux and one scripting language.
Git is the backbone of every modern engineering workflow and the entry point to CI/CD.
You cannot deploy or debug systems you do not understand at the network layer.
Containers standardise how applications are packaged and shipped. This is the heart of modern DevOps.
Once you have containers, you need to run them reliably at scale.
Provision and configure infrastructure declaratively so it is versioned, reviewable and repeatable.
Automate build, test and deploy so software ships continuously and safely.
Almost all modern infrastructure runs in the cloud. Go deep on one provider first.
You can only operate reliably what you can measure. Instrument everything.
Bake security into the pipeline rather than bolting it on at the end.
You reached the end!
Reinforce your skills with hands-on tutorials and cheatsheets.
Start Learning: Step-by-Step Tutorials
The complete DevOps Engineer learning path, explained
Every milestone and topic in order, with a short explanation of why it matters.
Foundations: OS & Scripting
Every DevOps engineer starts on the command line. Get comfortable with Linux and one scripting language.
LinuxRecommended
Learn the Linux filesystem, permissions, processes, package managers, systemd services and networking commands. The vast majority of servers and containers run Linux, so terminal fluency is non-negotiable.
Bash / Shell ScriptingRecommended
Master shell scripting to glue tools together: variables, loops, conditionals, pipes, exit codes and cron. Bash is the default automation language on Linux servers and CI runners.
PythonRecommended
Python powers automation scripts, tooling, and cloud SDKs (boto3, google-cloud). Learn the basics plus working with files, APIs and JSON/YAML.
GoAlternative
Go is the language behind Docker, Kubernetes and Terraform. Optional early on, but valuable if you want to build or extend cloud-native tooling.
Version Control & Collaboration
Git is the backbone of every modern engineering workflow and the entry point to CI/CD.
GitRecommended
Learn commits, branches, merging, rebasing, resolving conflicts and undoing mistakes. Git underpins pull-request reviews, GitOps and pipeline triggers.
GitHub / GitLabRecommended
Understand pull/merge requests, code review, branch protection, issues and how hosting platforms integrate with CI/CD and GitOps workflows.
Branching StrategiesOptional
Know the trade-offs between trunk-based development, GitFlow and environment branches so you can pick a workflow that fits release cadence.
Networking & Security Basics
You cannot deploy or debug systems you do not understand at the network layer.
HTTP, DNS, TLSRecommended
Understand the request/response cycle, DNS resolution, TLS/HTTPS certificates, TCP/UDP and status codes. Essential for debugging deployments and load balancers.
SSHRecommended
Learn key-based authentication, SSH config, tunnelling and agent forwarding to securely manage remote servers.
Web Servers & Reverse ProxiesRecommended
Configure Nginx or Caddy as a web server, reverse proxy and load balancer, including TLS termination and caching.
Firewalls & SecurityOptional
Understand ports, security groups, firewalls (iptables/ufw) and the principle of least privilege for hardening infrastructure.
Containers
Containers standardise how applications are packaged and shipped. This is the heart of modern DevOps.
DockerRecommended
Learn images, containers, Dockerfiles, volumes, networks and Docker Compose. Docker is the industry-standard container runtime.
Container RegistriesRecommended
Push and pull images from Docker Hub, GitHub Container Registry, ECR or GCR, and understand tagging and image scanning.
PodmanAlternative
A rootless, daemonless alternative to Docker with a compatible CLI, popular in security-conscious enterprises.
Container Orchestration
Once you have containers, you need to run them reliably at scale.
KubernetesRecommended
The dominant orchestrator. Learn Pods, Deployments, Services, Ingress, ConfigMaps, Secrets, and how the control plane schedules workloads.
HelmRecommended
Template and version Kubernetes manifests with Helm charts to make deployments repeatable and configurable across environments.
Docker Swarm / NomadAlternative
Lighter-weight orchestration options for smaller teams that do not need the full complexity of Kubernetes.
Infrastructure as Code
Provision and configure infrastructure declaratively so it is versioned, reviewable and repeatable.
TerraformRecommended
Define infrastructure with HCL, manage state, use modules and remote backends. Terraform is the leading multi-cloud IaC tool.
AnsibleRecommended
Automate server configuration and application deployment with agentless, YAML-based playbooks and roles.
PulumiAlternative
Write infrastructure in TypeScript, Python or Go instead of HCL — useful for teams that prefer general-purpose languages.
CI/CD Pipelines
Automate build, test and deploy so software ships continuously and safely.
GitHub ActionsRecommended
Build workflows triggered by git events, run tests, build images and deploy. Deeply integrated with GitHub repos.
JenkinsAlternative
A highly extensible, plugin-rich automation server still widely used in enterprises. Learn declarative Jenkinsfiles and agents.
GitLab CI / Argo CDAlternative
GitLab CI offers integrated pipelines; Argo CD brings GitOps continuous delivery to Kubernetes.
Cloud Providers
Almost all modern infrastructure runs in the cloud. Go deep on one provider first.
AWSRecommended
Master core services: EC2, S3, IAM, VPC, RDS, EKS and CloudWatch. AWS has the largest market share and job demand.
Azure / GCPAlternative
Azure dominates enterprise and Microsoft shops; GCP is strong for data and Kubernetes. Concepts transfer once you know one cloud well.
Monitoring & Observability
You can only operate reliably what you can measure. Instrument everything.
Prometheus & GrafanaRecommended
Collect metrics with Prometheus, query with PromQL, and visualise with Grafana dashboards and alerts.
Logging (ELK / Loki)Recommended
Aggregate and search logs with the ELK stack or Grafana Loki to debug distributed systems.
Tracing & APMOptional
Use OpenTelemetry, Jaeger or Datadog to trace requests across microservices and find latency bottlenecks.
DevSecOps & Secrets
Bake security into the pipeline rather than bolting it on at the end.
Secrets ManagementRecommended
Store and rotate secrets with HashiCorp Vault, AWS Secrets Manager or Kubernetes Secrets, and inject them securely at runtime.
Scanning & Supply ChainOptional
Scan images and dependencies (Trivy, Snyk), sign artifacts and enforce policies to secure the software supply chain.
Frequently asked questions
How long does it take to become a DevOps engineer?
With consistent study, most people become job-ready in 4 to 6 months. Prior programming or sysadmin experience can shorten that. Focus on Linux, Git, Docker, CI/CD and one cloud provider first.
Do I need to know how to code to learn DevOps?
Yes, at least scripting. Bash and Python are the most useful languages for automation. You do not need to be a full software engineer, but you must be comfortable writing scripts and reading code.
Should I learn Docker or Kubernetes first?
Learn Docker first. Kubernetes orchestrates containers, so you need a solid grasp of images, containers and networking before it will make sense.
Which cloud provider should I learn for DevOps?
Start with AWS because it has the largest market share and the most job openings. The core concepts transfer to Azure and GCP once you understand one cloud deeply.