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𝗔𝗪𝗦 𝗥𝗼𝗮𝗱𝗺𝗮𝗽 𝟮𝟬𝟮𝟲
1. Cloud Fundamentals
Before diving deep into AWS specifics, understand core cloud concepts:
🔹 Cloud computing models: IaaS, PaaS, SaaS
🔹 Shared responsibility model
🔹 Regions, Availability Zones, Edge locations
🔹 Pricing models & cost optimization principles
2. AWS Core Services
Build a strong foundation on the essential AWS building blocks:
Compute
🔹 EC2: Virtual servers & instance types
🔹 Lambda: Serverless compute functions
🔹 ECS / EKS: Container hosting & orchestration
Storage
🔹 S3: Object storage with lifecycle policies
🔹 EBS: Block storage for EC2
🔹 FSx / EFS: Shared file systems
Networking
🔹 VPC: Virtual networks, subnets, NACLs
🔹 Route 53: DNS & global traffic routing
🔹 API Gateway: API hosting & management
3. Databases & Data Management
Learn AWS database and caching options for different use cases:
🔹 RDS: Managed relational databases (MySQL, PostgreSQL, Aurora)
🔹 DynamoDB: NoSQL key-value and document store
🔹 ElastiCache: In-memory caching (Redis/Memcached)
🔹 DocumentDB / Neptune: Specialized managed DBs
4. Infrastructure as Code (IaC)
Automate cloud provisioning and repeatable deployments:
🔹 CloudFormation: AWS native IaC
🔹 Terraform: Multi-cloud infrastructure tooling
🔹 AWS CDK: Code-centric way to define AWS infra
5. Security & Identity
Security first! AWS offers a rich suite of tools to protect environments:
🔹 IAM: Users, roles, policies, least privilege design
🔹 KMS: Key management & encryption
🔹 Cognito: Authentication for apps
🔹 AWS Shield & WAF: DDoS and web app firewalls
6. Monitoring & Observability
Stay aware of system health, performance, and costs:
🔹 CloudWatch: Logs, alarms, metrics, dashboards
🔹 CloudTrail: API activity auditing
🔹 X-Ray: Distributed tracing
🔹 AWS Config: Resource config tracking & audit
7. Serverless & Event-Driven AWS
Modern cloud apps use serverless and event patterns:
🔹 Lambda + API Gateway: Build APIs & backend logic
🔹 Step Functions: Orchestrate workflows
🔹 SNS / SQS: Messaging & decoupled architecture
🔹 EventBridge: Event routing & bus patterns
8. Containers & Orchestration
Scale containerized workloads effectively:
🔹 ECS: Native AWS container service
🔹 EKS: Managed Kubernetes
🔹 Fargate: Serverless containers
🔹 App Mesh: Microservices communication
9. Data Analytics & Big Data
Handle large datasets and analytics pipelines:
🔹 Athena: Query S3 with SQL
🔹 Glue: ETL and data catalog
🔹 Redshift: Data warehousing
🔹 Kinesis: Real-time streaming ingestion
10. Machine Learning on AWS
Take AI/ML from experimentation to production:
🔹 SageMaker: Build, train, deploy models
🔹 Comprehend / Rekognition / Polly: AI APIs
🔹 Personalize / Forecast: Domain-specific ML services
11. DevOps & CI/CD
Automate software delivery:
🔹 CodeCommit: Git hosting
🔹 CodeBuild / CodeDeploy / CodePipeline: Build, test, deploy
🔹 Terraform / CDK + CI/CD pipelines
🔹 Blue/Green & Canary deploys
12. Cost Management & Optimization
AWS expertise includes cost control:
🔹 AWS Budgets & Cost Explorer
🔹 Savings Plans & Reserved Instances
🔹 Right-sizing instances & storage
🔹 Well-Architected cost pillar best practices
13. Architecting for Scale & Resilience
Go beyond basics to design robust systems:
🔹 High availability & fault tolerance
🔹 Disaster recovery planning
🔹 Auto Scaling & load balancing
🔹 Multi-Region and backup strategies
14. Certifications Path (optional but valuable)
Prove your skills with industry credentials:
🔹 AWS Certified Cloud Practitioner
🔹 AWS Solutions Architect Associate
🔹 AWS Developer / SysOps Associate
🔹 Specialty exams: Security, ML, Networking, Data Analytics
15. Real Projects & Practice
Theory is great — but practice seals knowledge:
🔹 Deploy full web apps with CI/CD
🔹 Build serverless APIs
🔹 Implement data pipelines
🔹 Optimize cost & performance dashboards
Grab AWS Playbook: codewithdhanian.gumroad.com/l/cnwwr
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