Coders {cookies}

Overview

DevOps is the practice of building, shipping, and running software reliably and repeatably. This track assumes you can write code in one language and use a terminal. You move from operating system fundamentals through automation, containers, orchestration, cloud, and finally reliability engineering. Build something real at every stage so the tools stick.

Month 1: Foundations and automation

Week 1: Linux and networking

0 of 5

Filesystem, permissions, processes, users, and services with systemd
Shell scripting: variables, loops, functions, exit codes, cron
Text processing with grep, awk, sed, and pipelines
Networking basics: IP, DNS, HTTP and HTTPS, TCP and UDP, ports
SSH, key based auth, and secure copy

Tools and libraries

bash: the default shell for automation
systemd: service management
curl and dig: inspect HTTP and DNS

Resources

The Linux Command Line by William Shotts: free book
roadmap.sh DevOps: structured reference

Build

A bash script that backs up a directory, rotates old backups, and runs from cron with logging

Week 2: Git, GitHub, and trunk based flow

0 of 4

Branching, merging, rebasing, cherry pick, stash, reflog
Pull requests, code review, protected branches, code owners
Conventional commits and semantic versioning
Git hooks and pre commit checks

Tools and libraries

git: version control
pre-commit: local quality gates

Build

A repository with branch protection, a pull request template, and a pre commit hook that lints

Week 3: Cloud fundamentals

0 of 5

Compute, storage, networking, and identity in the cloud
Regions, availability zones, and high availability
Virtual machines, object storage, managed databases
Identity and access management, least privilege, roles versus users
Billing, budgets, and cost awareness

Tools and libraries

One primary cloud (AWS recommended, GCP or Azure equivalents noted)
the cloud CLI for that provider

Resources

The official free tier docs for your chosen cloud
AWS Skill Builder or GCP free courses

Build

Provision a virtual machine, an object store, and a managed database by hand, then write down every step to automate later

Week 4: Infrastructure as code

0 of 5

Declarative versus imperative provisioning
Terraform: providers, resources, state, variables, outputs, modules
Remote state and locking
Plan, apply, and destroy safely
Secrets handling and never committing credentials

Tools and libraries

Terraform: cloud agnostic infrastructure as code
tflint and checkov: lint and security scan

Build

Recreate last week's manual setup entirely in Terraform with remote state

Month 2: Containers, pipelines, and orchestration

Week 5: Docker and containers

0 of 5

Images, layers, the build cache, and multi stage builds
Dockerfile best practices and small images
Volumes, networks, and environment configuration
Docker Compose for multi service local stacks
Registries and image tagging

Tools and libraries

Docker: container runtime and build
Docker Compose: local multi service orchestration

Build

Containerize a web app plus a database and a cache with Docker Compose

Week 6: CI and CD pipelines

0 of 5

Continuous integration: lint, test, build on every push
Continuous delivery and deployment, environments, and approvals
Pipeline stages, caching, artifacts, and matrix builds
Secrets and masked variables in pipelines
Building and pushing images, then deploying

Tools and libraries

GitHub Actions: pipelines as code
GitLab CI: alternative with the same concepts

Build

A pipeline that lints, tests, builds a Docker image, pushes it, and deploys to a staging environment

Week 7: Kubernetes fundamentals

0 of 5

Cluster architecture: control plane, nodes, kubelet
Pods, ReplicaSets, Deployments, and Services
ConfigMaps, Secrets, and environment configuration
Namespaces, labels, and selectors
kubectl basics and reading cluster state

Tools and libraries

Kubernetes: container orchestration
kind or minikube: a local cluster
kubectl: the cluster CLI

Build

Deploy your containerized app to a local Kubernetes cluster with a Deployment and a Service

Week 8: Kubernetes in production

0 of 6

Ingress and load balancing
Health checks: liveness and readiness probes
Resource requests and limits, autoscaling
Rolling updates, rollbacks, and zero downtime deploys
Helm charts for packaging
Managed Kubernetes on the cloud

Tools and libraries

Helm: package manager for Kubernetes
a managed cluster (EKS, GKE, or AKS)

Build

Package your app as a Helm chart and deploy it to a managed cluster with autoscaling and an ingress

Month 3: Reliability, security, and operations

Week 9: Observability

0 of 5

The three pillars: metrics, logs, and traces
Instrumenting services with OpenTelemetry
Dashboards and alerting
Service level indicators, objectives, and agreements
On call basics and incident response

Tools and libraries

Prometheus: metrics
Grafana: dashboards
Loki: logs
OpenTelemetry: tracing

Build

Add metrics, logs, and traces to your app and build a dashboard with alerts on latency and error rate

Week 10: GitOps and progressive delivery

0 of 4

GitOps: the cluster state lives in git
Declarative deployments and automatic sync
Canary and blue green deployments
Feature flags and progressive rollout

Tools and libraries

Argo CD or Flux: GitOps controllers

Build

Drive deployments through GitOps so a merge to main updates the cluster automatically

Week 11: Security and secrets

0 of 5

Least privilege and identity for services
Secret management and rotation
Image scanning and supply chain security
Network policies and mTLS
Policy as code

Tools and libraries

a secrets manager (cloud native or HashiCorp Vault)
Trivy: image and dependency scanning
OPA or Kyverno: policy enforcement

Build

Add image scanning to the pipeline and move all secrets into a manager with rotation

Week 12: Capstone and reliability

0 of 4

Disaster recovery and backups
Chaos engineering basics
Cost optimization and rightsizing
Documentation, runbooks, and postmortems

Build

A complete platform: infrastructure as code, a CI and CD pipeline, a Kubernetes deployment with GitOps, full observability, scanned images, and managed secrets, documented with a runbook

Resource master reference

Books

The Phoenix Project by Gene Kim: the why of DevOps as a novel

The DevOps Handbook by Gene Kim and others

Site Reliability Engineering by Google: free online

Repositories

roadmap.sh DevOps roadmap

awesome devops curated lists

Courses and channels

KodeKloud for hands on labs

TechWorld with Nana on YouTube

Tools master list

Linux, bash, git, Terraform, Docker, Docker Compose, Kubernetes, Helm, GitHub Actions, Argo CD, Prometheus, Grafana, Loki, OpenTelemetry, Trivy, Vault

Interview focus

Explain a deployment pipeline end to end

Design a zero downtime deployment strategy

How do you debug a service that is slow in production

Trade offs of Kubernetes versus serverless

How do you manage secrets across environments

What are your service level objectives and how do you alert on them