AWS Developer Roadmap

AWS Developer Roadmap 


1. Learn Cloud & AWS Fundamentals
- Understand cloud computing: Learn how cloud services differ from traditional on-premises infrastructure, focusing on scalability, elasticity, and pay-as-you-go pricing.  
- Service models (IaaS, PaaS, SaaS): Grasp the differences between infrastructure, platform, and software services, and when each is used.  
- AWS global infrastructure: Study Regions, Availability Zones, and Edge Locations to understand how AWS achieves reliability and low latency worldwide.  
- Identity & Access Management (IAM): Learn how to securely manage users, groups, roles, and policies to control access.  
- Shared responsibility model: Understand which security tasks AWS handles and which are the customer’s responsibility.  

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2. Core AWS Services for Developers

🖥️ Compute
- EC2 basics: Learn how to launch, configure, and manage virtual servers.  
- Autoscaling & Load Balancing: Ensure applications scale automatically and remain highly available.  
- AWS Lambda: Explore serverless computing where you run code without managing servers.  

📦 Storage
- S3 fundamentals: Store and retrieve objects with virtually unlimited scalability.  
- Versioning & lifecycle rules: Manage file versions and automate storage transitions.  
- Glacier: Use for long-term, low-cost archival storage.  

🗄️ Databases
- DynamoDB: NoSQL database for high-performance apps.  
- RDS: Managed relational database service supporting engines like MySQL and PostgreSQL.  
- Aurora: High-performance, cloud-native relational database.  
- ElastiCache: In-memory caching for faster data retrieval.  

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3. Networking & Security
- VPC basics: Learn subnets, route tables, NAT gateways, and Internet Gateways to design secure networks.  
- Security Groups & NACLs: Control inbound/outbound traffic at instance and subnet levels.  
- API Gateway: Build and secure APIs for your applications.  
- CloudFront: Deliver content globally with low latency using AWS’s CDN.  
- KMS: Manage encryption keys for securing sensitive data.  

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4. Application Development on AWS
- Serverless apps with Lambda: Build applications without provisioning servers.  
- API Gateway + DynamoDB patterns: Create scalable APIs backed by NoSQL databases.  
- Event-driven apps: Use SNS, SQS, and EventBridge to decouple services and handle asynchronous workflows.  
- Step Functions: Orchestrate complex workflows across multiple AWS services.  
- CI/CD pipelines: Automate deployments for serverless applications.  

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5. Developer Tools
- AWS CLI: Command-line interface for managing AWS resources.  
- AWS SDKs: Integrate AWS services into applications using languages like Python, JavaScript, or Java.  
- AWS CloudShell: Browser-based shell for quick AWS operations.  
- CloudFormation: Define infrastructure as code using YAML/JSON templates.  
- CDK (Cloud Development Kit): Write infrastructure in familiar programming languages like TypeScript or Python.  

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6. Monitoring & Logging
- CloudWatch metrics & alarms: Monitor performance and set alerts.  
- CloudWatch Logs: Collect and analyze application logs.  
- X-Ray: Trace requests through distributed applications for debugging.  
- CloudTrail: Audit API calls and track user activity.  

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7. Deploying & Managing Applications
- Elastic Beanstalk: Simplify application deployment without deep infrastructure knowledge.  
- ECR + ECS (Fargate): Build, store, and run containerized applications.  
- EKS basics: Run Kubernetes clusters on AWS for container orchestration.  

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8. Advanced AWS Concepts
- Multi-account strategies: Use AWS Organizations to manage multiple accounts securely.  
- Cost optimization: Analyze spending with Cost Explorer and apply savings strategies.  
- High availability & fault tolerance: Design systems that remain resilient under failures.  
- Disaster recovery: Implement backups and multi-region replication.  
- AI/ML services: Explore AWS Comprehend (NLP), Rekognition (image analysis), and SageMaker (machine learning).  

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9. Projects to Build
- Serverless CRUD app: Practice Lambda, API Gateway, and DynamoDB.  
- Real-time notifications system: Use SNS or SQS for messaging.  
- Image upload & processing pipeline: Combine S3, Lambda, and Rekognition.  
- Containerized microservice: Deploy on ECS with Fargate.  
- Data ingestion pipeline: Stream data with Kinesis for analytics.  

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10. Mastery Phase
- AWS Developer Associate certification: Validate your skills with an industry-recognized credential.  
- Advanced CDK patterns: Build reusable, scalable infrastructure code.  
- Scalable & event-driven architectures: Design systems that handle growth and complexity.  
- Well-Architected Framework: Apply AWS best practices for security, reliability, performance, and cost efficiency.  

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