Roadmap / DevOps Engineer
A comprehensive DevOps roadmap covering Linux, networking, containers, Kubernetes, infrastructure as code, cloud, observability, security, and reliability engineering.
Step 1 • Foundations
Master filesystems, permissions, processes, users, and package management. These are the building blocks of every server-side task.
Step 2 • Foundations
Write reliable Bash scripts with error handling, argument parsing, logging, and idempotency so automation doesn't silently break in production.
Step 3 • Foundations
Understand DNS, TCP/IP, TLS, ports, subnets, firewalls, proxies, and load balancing before debugging distributed systems.
Step 4 • Foundations
Treat all infrastructure, scripts, and config as code with reviewable history, merge conventions, and protection rules for main branches.
Step 5 • Delivery
Build pipelines that lint, test, build, and package changes automatically on every commit so broken code never reaches main.
Step 6 • Delivery
Learn blue-green deployments, canary releases, feature flags, smoke tests, and rollback strategies to reduce deployment risk.
Step 7 • Platform
Understand image layers, the container runtime, Dockerfiles, and why containers standardize application delivery across environments.
Step 8 • Platform
Write efficient multi-stage Dockerfiles, use build cache strategically, scan images for vulnerabilities, and push to a container registry.
Step 9 • Platform
Model multi-service applications locally with Compose, manage dependency startup order, volumes, and network isolation.
Step 10 • Orchestration
Understand the Kubernetes control plane, worker nodes, pods, deployments, services, and namespaces before managing workloads in production.
Step 11 • Orchestration
Work with StatefulSets, DaemonSets, Jobs, CronJobs, PersistentVolumes, Ingress, and NetworkPolicies in real deployment scenarios.
Step 12 • Orchestration
Package, version, and template Kubernetes manifests with Helm to manage complex application deployments consistently across environments.
Step 13 • Infrastructure
Represent infrastructure declaratively, review changes with plan before apply, manage remote state, and keep environments reproducible.
Step 14 • Infrastructure
Organize Terraform with reusable modules, handle state drift, use workspaces for environment isolation, and test infrastructure changes safely.
Step 15 • Infrastructure
Drive cluster state from Git using Argo CD or Flux so deployments are auditable, automatic, and always reconcilable to a known state.
Step 16 • Security
Separate configuration from code, rotate secrets safely, inject them at runtime, and control who can access sensitive values in each environment.
Step 17 • Cloud
Understand core cloud services (compute, storage, networking, IAM, managed databases) so you can provision them reliably instead of reactively.
Step 18 • Cloud
Design subnets, route tables, security groups, NAT gateways, and load balancers to control traffic flow and blast radius in the cloud.
Step 19 • Observability
Collect, store, and visualize metrics for throughput, error rate, latency, and saturation using the RED and USE methods.
Step 20 • Observability
Collect, parse, and search structured logs from all services so incidents can be investigated without SSH access to individual machines.
Step 21 • Observability
Instrument services with traces so multi-hop request paths can be inspected end to end during incidents.
Step 22 • Reliability
Define SLIs and SLOs, write meaningful alerts, reduce noise, and set up on-call rotations so the right people respond quickly.
Step 23 • Reliability
Prepare runbooks, escalation paths, communication templates, and blameless postmortem habits before things break in production.
Step 24 • Security
Apply least privilege IAM, network policies, image scanning, RBAC for Kubernetes, and Pod security standards across the platform.
Step 25 • Security
Secure the build pipeline with SBOM generation, artifact signing, dependency audits, and provenance attestations.
Step 26 • Reliability
Balance availability, performance, and cost deliberately by tracking spend, right-sizing resources, and using reserved capacity effectively.
Step 27 • Ship It
Apply SRE practices including error budgets, toil reduction, chaos engineering, and resilience patterns to prevent outages and recover faster.
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