30-Day DevOps Kickstart Plan (For Beginners)
This plan is built for absolute beginners stepping into DevOps. It emphasizes hands-on projects, portfolio creation, and includes one excellent YouTube tutorial per tool to guide your learning.
Author: Pranjali
Days 1–3: Command Line Mastery (Linux Basics for DevOps)
The command line interface (CLI) is the heart of DevOps work.
Before jumping into automation, cloud, or Kubernetes, you must be comfortable navigating and controlling servers using just the terminal.
1.Environment Setup
Install VirtualBox (or VMware/Hyper-V).
Download the latest Ubuntu Server ISO (no GUI).
Create a Virtual Machine with at least:
2 CPU cores
4 GB RAM
Complete a minimal installation (SSH enabled, no desktop).
👉 This setup simulates a real production server environment.
2: Essential Linux Commands to Learn
File & Directory Management
ls
,cd
,pwd
,mkdir
,rmdir
cp
,mv
,rm
System Monitoring
top
,htop
df -h
(disk usage)du -sh
(directory size)
Text Processing & Search
cat
,less
,tail -f
grep
,awk
,sed
Process & Service Management
ps aux
kill -9 <PID>
systemctl start|stop|status <service>
👉 These commands are the building blocks of everything you’ll do in DevOps.
3: Mini Projects (Daily Practice)
Project Ideas:
Automate disk usage monitoring with email alerts at > 80%.
Schedule daily backups of
/var/log
with timestamped archives.Build a log parser that counts failed SSH attempts and alerts anomalies.👉 These small projects will make you comfortable with automation using just Linux commands.
4: Learning Resources
📌 Best YouTube Resource to Learn Linux (DevOps-focused):
Days 4–7: Git & Version Control
Why Git?
Git is the backbone of DevOps collaboration. Every CI/CD pipeline, automation, and infrastructure-as-code workflow relies on version control. Mastering Git early makes you confident in managing codebases and team projects.
Core Git Skills to Learn
Repo Management
git init
→ Initialize a local repogit clone <url>
→ Clone a repo from GitHubgit remote -v
→ Manage remotes
Daily Workflow
git add <file>
→ Stage changesgit commit -m "message"
→ Save changesgit push
/git pull
→ Sync with remote
Branching & Merging
git checkout -b feature-branch
→ Create & switch branchgit merge <branch>
→ Merge changesgit rebase <branch>
→ Reapply commits on top
Conflict Handling & Best Practices
Learn to resolve merge conflicts in files
Use
.gitignore
to keep secrets & junk files outMaintain a clean commit history with good messages
Daily Practice Projects
Create a DevOps Learning Journey Repo – push your scripts & notes.
Version control your Linux scripts from Days 1–3.
Simulate a merge conflict (two branches editing the same file) and resolve it.
Implement a branching strategy (feature, bugfix, main branch).
📺 Best YouTube Resource for Git Beginners
Week 2: Infrastructure & Cloud
Days 8–10: AWS Fundamentals
What is AWS?
AWS (Amazon Web Services) is the leading cloud platform that powers scalable infrastructure, hosting, storage, and DevOps automation. Every DevOps engineer must know its core services.
Core AWS Skills:
Create AWS account, enable MFA, configure AWS CLI
Launch and manage EC2 instances
Create and manage S3 buckets
Configure IAM users, groups, and policies
Set up VPC with public/private subnets
Project Ideas:
Host a static website on S3
Launch an EC2 instance and deploy a web app
Create a least-privilege IAM user for deployments
Design a simple VPC network
Best YouTube Resource for AWS
Week 3: Containerization & Orchestration
Days 11–14: Docker Essentials
What is Docker?
Docker is a containerization platform that lets you package applications with all their dependencies into lightweight, portable containers. Unlike virtual machines, containers share the host OS kernel, making them faster, more efficient, and ideal for DevOps workflows.
Core Docker Skills:
Install and configure Docker Engine
Understand Images vs Containers
Write and optimize Dockerfiles
Manage networks, volumes, and multi-container setups
Use docker-compose for orchestration
Project Ideas:
Containerize a simple Node.js or Python web app
Build a multi-container stack (app + database) via
docker-compose
Push your own custom Docker image to DockerHub
Best YouTube Resource for Docker:
Days 15–17: Kubernetes Basics
What is Kubernetes?
Kubernetes (K8s) is an open-source container orchestration system. It automates deployment, scaling, and management of containerized applications—helping DevOps teams run apps reliably in production.
Core Kubernetes Skills:
Install Minikube (local cluster) & kubectl (CLI)
Understand Pods, Deployments, and Services
Use ConfigMaps, Secrets, and Ingress for configuration & routing
Perform rolling updates and horizontal scaling
Project Ideas:
Deploy your Dockerized app to Kubernetes (via Minikube)
Add readiness & liveness probes for app health
Scale app replicas horizontally
Configure Ingress Controller for external traffic
Best YouTube Resource for Kubernetes
Week 4: CI/CD & Monitoring
Days 18–20: Continous Integration
What is CI?
CI (Continuous Integration) automates the testing and validation of every code change. It ensures fast feedback and maintains software quality.
Key CI Skills:
Configure GitHub Actions workflows (YAML)
Integrate unit tests and linters
Manage secrets securely
Send build status notifications (Slack/Email)
Project Ideas:
Create a CI pipeline for your Docker app with GitHub Actions
Automate linting & tests on every commit
Notify team on Slack when a build fails
Best YouTube Resource for Github Actions:
Days 21–23: Continuous Deployment (CD)
What is CD?
CD (Continuous Deployment) automates app delivery to environments like AWS or Kubernetes, enabling safe, repeatable deployments.
Key CD Skills:
Deploy apps to AWS EC2 or Kubernetes
Implement blue-green or rolling deployments
Enable rollback mechanisms for failures
Manage multi-environment pipelines
Project Ideas:
Automate app deployment to AWS EC2 via GitHub Actions
Deploy automatically to Kubernetes
Implement blue-green deployment with rollback
Best YouTube Resource for CD
🎥 CI/CD with GitHub Actions & AWS – CodeWithVlad
Days 24–26: Monitoring & Final Integration
What is Monitoring?
Monitoring ensures apps run smoothly by tracking metrics and alerting issues before they impact users.
Key Monitoring Skills:
Deploy Prometheus (metrics collection) & Grafana (dashboards)
Monitor CPU, Memory, Pod health
Configure alerts (Slack, Email, PagerDuty)
Project Ideas:
Monitor your Kubernetes cluster with Prometheus
Create Grafana dashboards for app performance
Set alerts for downtime & anomalies
Best YouTube Tutorial:
By Day 30, You Will Have:
5+ meaningful projects on GitHub: shell automations, AWS IaaC, Dockerized app, Kubernetes deployment, CI/CD pipeline, monitoring dashboards.
A complete, demonstrable DevOps pipeline.
A polished portfolio to show in job applications.
Next Steps
Apply for Junior DevOps or SRE roles.
Contribute to open-source DevOps tools or scripts.
Prepare for certifications like AWS Cloud Practitioner or SysOps.
Continue building—explore advanced topics like infrastructure security or service meshes.
Engage with DevOps communities on LinkedIn, Slack, or Reddit.
Final Advice from Pranjali
Master the core principles—Linux, Git, Cloud infrastructure, containers, orchestration, CI/CD, and monitoring. Your portfolio, full of hands-on projects, is your strongest asset. Keep learning, keep building, and stay confident.
Solid kickoff plan here. Makes me wonder, what happens if someone stretched this to 60 days instead?