DevOps Roadmap — Part 10: Cloud for DevOps
Modern DevOps bina cloud ke incomplete hai.
Servers kharidna, setup karna, maintain karna —
ye sab cloud ne simple bana diya.
What Is Cloud (Simple Meaning)
Cloud matlab:
Internet pe available computers
jo tum rent pe use karte ho.
- No hardware buying
- Pay only for usage
- Scale anytime
Why DevOps Needs Cloud
DevOps ka goal hai:
- Fast deployments
- Automation
- Reliability
Cloud ye sab naturally support karta hai.
Main Cloud Providers
- AWS – market leader
- Azure – Microsoft ecosystem
- GCP – Google infrastructure
Concepts almost same hote hain —
sirf names different.
Core Cloud Concepts for DevOps
1. Virtual Machines
AWS me EC2, Azure me VM, GCP me Compute Engine.
Linux VM Example (AWS EC2)
ssh -i key.pem ubuntu@public-ip
DevOps engineers mostly Linux VMs use karte hain.
2. Identity & Access Management (IAM)
IAM batata hai:
- Kaun access kare?
- Kya access kare?
Never use root user — industry rule.
3. Networking Basics
- VPC / Virtual Network
- Subnets
- Security Groups / Firewalls
Networking misunderstanding = security issues.
4. Storage Types
- Block Storage (EBS)
- Object Storage (S3)
- File Storage (EFS)
DevOps mostly:
S3 + EBS use karta hai.
5. Cloud + Docker + Kubernetes
Real-world flow:
- Code → Git
- Build → CI pipeline
- Image → Docker
- Deploy → Kubernetes on cloud
Cloud infra bina manual effort ke provision hota hai.
Infrastructure as Code (Preview)
Manual clicking DevOps nahi hai.
DevOps engineers infra ko bhi code ki tarah likhte hain:
- Terraform
- CloudFormation
- ARM templates
Ispe next parts me focus aayega.
Common Beginner Mistakes
- Everything public expose karna
- IAM ignore karna
- Billing alerts na lagana
Cloud power hai — responsibility bhi.
Reality of DevOps + Cloud Jobs
Interviewers expect:
- Basic AWS services knowledge
- Linux + networking clarity
- Deployment understanding
Certifications help,
hands-on matters more.
What Comes Next?
Systems chal rahe hain,
par unko observe kaise kare?
Next Part → Monitoring & Logging
