Learning Resources

Curated guides, tips & roadmaps for Cloud & DevOps

Everything you need to accelerate your learning journey

Top 10 Essential Topics to Learn

Master these foundational topics for Cloud & DevOps success

1

Linux Fundamentals

Command line, file systems, permissions, processes, networking

2

Networking Basics

TCP/IP, DNS, HTTP/HTTPS, load balancing, firewalls

3

Version Control (Git)

Branching, merging, pull requests, Git workflows

4

Cloud Computing (AWS/Azure/GCP)

EC2, S3, VPC, IAM, databases, serverless

5

Containerization (Docker)

Images, containers, Docker Compose, registries

6

Container Orchestration (Kubernetes)

Pods, deployments, services, ingress, helm

7

CI/CD Pipelines

Jenkins, GitHub Actions, GitLab CI, automated testing

8

Infrastructure as Code (IaC)

Terraform, CloudFormation, Ansible, configuration management

9

Monitoring & Logging

Prometheus, Grafana, ELK Stack, CloudWatch, alerting

10

Scripting & Automation

Bash, Python, PowerShell, automation frameworks

DevOps & Cloud Best Practices

Pro tips to level up your skills and avoid common pitfalls

  • → Learn by doing, not just watching: Build real projects, break things, fix them. Hands-on practice beats passive learning.
  • → Master the fundamentals first: Don't skip Linux, networking, and scripting. They're the foundation of everything.
  • → Automate everything you can: If you do it twice, script it. Automation is the heart of DevOps.
  • → Version control is non-negotiable: Everything in Git: code, configs, IaC, docs. Learn proper Git workflows early.
  • → Understand monitoring & observability: You can't fix what you can't see. Metrics, logs, and traces are critical.
  • → Security is everyone's responsibility: Learn basic security practices: least privilege, secrets management, scanning.
  • → Document as you learn: Keep a learning journal, write blog posts, create READMEs. Teaching solidifies knowledge.
  • → Join communities & contribute: Engage on Reddit, Discord, GitHub. Ask questions, help others, share your work.
  • → Stay curious and keep experimenting: Tech moves fast. Set up labs, try new tools, break production (in staging!).
  • → Optimize for learning, not certifications: Certs are great, but real skills matter more. Build projects that demonstrate capability.

Learning Roadmaps

DevOps Engineer

6-12 month structured path from beginner to job-ready

  1. 1. Month 1-2: Linux, command line, shell scripting, networking basics
  2. 2. Month 2-3: Git, GitHub, version control workflows, collaboration
  3. 3. Month 3-5: Python basics, Docker, containerization, Docker Compose
  4. 4. Month 5-7: AWS fundamentals, EC2, S3, VPC, IAM, cloud projects
  5. 5. Month 7-9: CI/CD with Jenkins/GitHub Actions, automated testing
  6. 6. Month 9-10: Terraform for IaC, Ansible for config management
  7. 7. Month 10-11: Kubernetes basics, monitoring with Prometheus/Grafana
  8. 8. Month 11-12: Build capstone projects, resume, portfolio, job applications

Cloud Engineer (AWS)

Focused cloud specialization path with hands-on labs

  1. 1. Foundations: Linux, networking, security basics, scripting
  2. 2. Core AWS: IAM, EC2, VPC, S3, Route53, CloudWatch
  3. 3. Databases: RDS, DynamoDB, ElastiCache, database migration
  4. 4. High Availability: Auto Scaling, Load Balancers, multi-AZ, disaster recovery
  5. 5. Serverless: Lambda, API Gateway, EventBridge, Step Functions
  6. 6. Security: KMS, Secrets Manager, WAF, Security Groups, compliance
  7. 7. IaC & Automation: CloudFormation, Terraform, AWS CLI, SDKs
  8. 8. Certification: AWS Solutions Architect Associate → Professional

Site Reliability Engineer (SRE)

Advanced path focusing on reliability, observability & scale

  1. 1. Prerequisites: Strong Linux, networking, programming (Python/Go)
  2. 2. SRE Principles: SLIs, SLOs, SLAs, error budgets, toil reduction
  3. 3. Observability: Prometheus, Grafana, Loki, distributed tracing
  4. 4. Incident Response: On-call, postmortems, runbooks, chaos engineering
  5. 5. Performance: Load testing, profiling, optimization, capacity planning
  6. 6. Automation: Advanced scripting, infrastructure automation, self-healing
  7. 7. Kubernetes: Advanced orchestration, operators, service mesh
  8. 8. Culture: Blameless postmortems, collaboration, continuous learning

Platform Engineer

Build internal developer platforms & improve dev experience

  1. 1. Core Skills: DevOps fundamentals, cloud, Kubernetes, IaC
  2. 2. Platform Design: Self-service portals, golden paths, abstraction layers
  3. 3. Developer Tools: Backstage, ArgoCD, Crossplane, platform APIs
  4. 4. CI/CD at Scale: Pipeline orchestration, GitOps, release automation
  5. 5. Security: Policy as code, secrets management, compliance automation
  6. 6. Cost Optimization: Resource management, FinOps, cost visibility
  7. 7. Documentation: Internal docs, runbooks, API references, tutorials
  8. 8. Adoption: Developer enablement, training, feedback loops, metrics