DevOps_RDMP 2026
├── DevOps_Interview # Interview Q&A
├── DevOps_Notes # Theory and notes
│ └── AWS_Partical
│ └── README.md # AWS hands-on notes
├── DevOps_Project_26 # Real-world projects
└── Linux_practice # Linux commands & labs
>>>>>>> 873a5ec4addf54953ef884c68d14dca7d703a599
𝗔𝗪𝗦 𝗥𝗼𝗮𝗱𝗺𝗮𝗽 𝟮𝟬𝟮𝟲
𝟭. 𝗖𝗹𝗼𝘂𝗱 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀
Start with understanding how cloud computing works.
🔹 IaaS, PaaS, SaaS
🔹 Shared Responsibility Model
🔹 Regions, Availability Zones, Edge Locations
🔹 Pricing models & billing basics
𝟮. 𝗖𝗼𝗺𝗽𝘂𝘁𝗲 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀
Learn how AWS runs applications.
🔹 EC2 (Virtual servers)
🔹 Lambda (Serverless compute)
🔹 ECS & EKS (Containers)
🔹 Elastic Beanstalk
🔹 Auto Scaling Groups
𝟯. 𝗦𝘁𝗼𝗿𝗮𝗴𝗲 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀
Understand how data is stored and managed.
🔹 S3 (Object storage)
🔹 EBS (Block storage)
🔹 EFS (File storage)
🔹 S3 lifecycle policies
🔹 Glacier for archival
𝟰. 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝗶𝗻𝗴
Networking is critical in AWS architecture.
🔹 VPC, Subnets, Route Tables
🔹 Internet Gateway & NAT Gateway
🔹 Security Groups & NACLs
🔹 Route 53 (DNS)
🔹 Elastic Load Balancer (ALB/NLB)
𝟱. 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀
Choose the right database for your workload.
🔹 RDS (MySQL, PostgreSQL, Aurora)
🔹 DynamoDB (NoSQL)
🔹 ElastiCache (Redis)
🔹 OpenSearch
🔹 Redshift (Data warehouse)
𝟲. 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗮𝘀 𝗖𝗼𝗱𝗲
Automate everything.
🔹 CloudFormation
🔹 AWS CDK
🔹 Terraform
🔹 Parameter Store & Secrets Manager
𝟳. 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 & 𝗜𝗔𝗠
Secure your cloud properly.
🔹 IAM users, roles & policies
🔹 Multi-Factor Authentication (MFA)
🔹 KMS encryption
🔹 AWS WAF & Shield
🔹 Cognito for authentication
𝟴. 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 & 𝗟𝗼𝗴𝗴𝗶𝗻𝗴
Keep track of performance and activity.
🔹 CloudWatch (metrics & alarms)
🔹 CloudTrail (API auditing)
🔹 AWS Config
🔹 X-Ray tracing
𝟵. 𝗖𝗜/𝗖𝗗 & 𝗗𝗲𝘃𝗢𝗽𝘀
Automate builds and deployments.
🔹 CodeCommit
🔹 CodeBuild
🔹 CodeDeploy
🔹 CodePipeline
🔹 Blue/Green deployments
𝟭𝟬. 𝗦𝗲𝗿𝘃𝗲𝗿𝗹𝗲𝘀𝘀 & 𝗘𝘃𝗲𝗻𝘁-𝗗𝗿𝗶𝘃𝗲𝗻
Build scalable modern systems.
🔹 Lambda
🔹 API Gateway
🔹 SNS & SQS
🔹 EventBridge
🔹 Step Functions
𝟭𝟭. 𝗗𝗮𝘁𝗮 & 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀
Handle big data and streaming.
🔹 S3 + Athena
🔹 Glue
🔹 Kinesis
🔹 Redshift
𝟭𝟮. 𝗔𝗜 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴
Integrate AI into AWS applications.
🔹 SageMaker
🔹 Rekognition
🔹 Comprehend
🔹 Bedrock
𝟭𝟯. 𝗛𝗶𝗴𝗵 𝗔𝘃𝗮𝗶𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆 & 𝗦𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆
Design reliable systems.
🔹 Multi-AZ deployments
🔹 Auto Scaling
🔹 Disaster recovery strategies
🔹 Backup & restore solutions
𝟭𝟰. 𝗥𝗲𝗮𝗹-𝗪𝗼𝗿𝗹𝗱 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀
Practice is key to mastery.
🔹 Deploy full-stack apps on AWS
🔹 Build serverless APIs
🔹 Configure CI/CD pipelines
🔹 Implement secure VPC architecture
🔹 Optimize cloud costs