AWS Detailed Course#
Table of Contents#
- AWS Well-Architected Framework
- Containers on AWS: Amazon ECS & AWS Fargate
- Amazon DynamoDB & Single-Table Design
- Event-Driven Architecture: EventBridge & Step Functions
- Caching: Amazon ElastiCache (Redis) & CloudFront
- High Availability, RTO/RPO & Route 53
- Database Scaling & Amazon RDS Proxy
- Cloud Security: PrivateLink, KMS & AWS WAF
- Infrastructure as Code: AWS CDK vs Terraform
- Cost Optimization & System Design Deep Dive
1. AWS Well-Architected Framework#
The AWS Well-Architected Framework defines architectural best practices organized across six core pillars:
The 6 Pillars of Well-Architected Systems
- Operational Excellence: Automating releases, running workloads as code, handling failures incrementally.
- Security: Applying defense-in-depth, least-privilege IAM, automated secret rotation, encryption at rest (KMS) and in transit (TLS 1.3).
- Reliability: Graceful degradation, automated self-healing, multi-AZ deployment, and load testing.
- Performance Efficiency: Choosing the right compute type (serverless vs container), offloading static content to CDNs, and caching frequently queried data.
- Cost Optimization: Right-sizing instances, adopting Graviton ARM processors (20% cheaper, 40% better performance), leveraging auto-scaling down during off-hours.
- Sustainability: Maximizing server utilization and eliminating idle compute.
2. Containers on AWS: Amazon ECS & AWS Fargate#
Amazon Elastic Container Service (ECS) is a fully managed container orchestration service. With AWS Fargate, you do not manage EC2 worker nodes; AWS provisions and scales the underlying compute automatically:
- Task Definition: JSON blueprint specifying Docker image, CPU/memory units (e.g. 0.5 vCPU, 1024 MiB), environment variables, port mappings, and logging to CloudWatch.
- Service: Maintains desired task count (e.g. 5 replicas), integrates with Application Load Balancer (ALB), and manages rolling update deployments.
- Task Execution Role vs Task Role: The Execution Role allows ECS agent to pull images from ECR and write logs; the Task Role grants permissions to the application code running inside the container.
3. Amazon DynamoDB & Single-Table Design#
Amazon DynamoDB is a serverless NoSQL database delivering consistent single-digit millisecond latency at any scale with zero server management.
// DynamoDB Primary Key Concepts:
// 1. Simple Primary Key: Partition Key (PK) -> e.g., userId
// 2. Composite Primary Key: Partition Key (PK) + Sort Key (SK) -> e.g., userId + orderId
// Example: Single-Table Schema for Users and Orders in one table
[
{ "PK": "USER#101", "SK": "METADATA", "name": "Pankaj", "email": "pankaj@corp.com" },
{ "PK": "USER#101", "SK": "ORDER#2026-001", "amount": 89.99, "status": "SHIPPED" },
{ "PK": "USER#101", "SK": "ORDER#2026-002", "amount": 14.50, "status": "PENDING" }
]
// Single Query fetches the user profile AND their recent orders in ONE network request!
// KeyConditionExpression: PK = "USER#101" AND SK begins_with("ORDER#")
4. Event-Driven Architecture: EventBridge & Step Functions#
Building resilient, decoupled microservices relies on events and distributed orchestration:
Event Choreography vs Orchestration
- Amazon EventBridge (Choreography): Serverless event bus. Microservices emit
domain events (e.g.
OrderCreated); EventBridge evaluates rules and routes the event to downstream consumers with zero point-to-point coupling. - AWS Step Functions (Orchestration): Visual state machine for complex, multi-step business workflows requiring retries, error catchers, human approvals, and parallel branches (e.g. payment processing → fraud check → shipment).
5. Caching: Amazon ElastiCache (Redis) & CloudFront#
A multi-tiered caching architecture drastically cuts database load and latency:
- Edge Caching (Amazon CloudFront): Caches HTML, images, and API responses at 600+ edge locations globally. Reduces origin server requests by up to 90%.
- In-Memory Application Cache (Amazon ElastiCache Redis): Sub-millisecond data store for session states, rate limiting, and frequently read database queries (Cache-Aside pattern).
6. High Availability, RTO/RPO & Route 53#
Disaster recovery (DR) is governed by two metrics:
- RPO (Recovery Point Objective): Acceptable data loss measured in time (e.g. database transactions in the last 5 minutes).
- RTO (Recovery Time Objective): Acceptable downtime before the service is fully restored.
- Amazon Route 53: Cloud DNS supporting latency-based routing, weighted round-robin, and automated DNS failover based on health checks.
7. Database Scaling & Amazon RDS Proxy#
Serverless applications (like Lambda) can spin up thousands of concurrent containers in seconds. Traditional databases like PostgreSQL or MySQL cannot handle 10,000 open connection sockets.
The Solution: Amazon RDS Proxy. Sits between your Lambda functions and RDS database, maintaining an efficient pool of established database connections and multiplexing thousands of serverless requests across a small connection pool.
8. Cloud Security: PrivateLink, KMS & AWS WAF#
- VPC Endpoints (AWS PrivateLink): Allows private EC2 instances or Lambda functions to connect securely to S3, DynamoDB, or Secrets Manager over the internal AWS network without traversing the public Internet or requiring a NAT Gateway!
- AWS Key Management Service (KMS): Securely creates and manages encryption keys used to encrypt S3 buckets, RDS databases, and EBS storage volumes.
- AWS WAF (Web Application Firewall): Protects web applications against common web exploits (SQL injection, Cross-Site Scripting XSS, and rate limiting brute-force attacks).
9. Infrastructure as Code: AWS CDK vs Terraform#
Never configure production cloud resources manually in the AWS web console ("click-ops"). Use Infrastructure as Code (IaC):
// AWS Cloud Development Kit (CDK) in TypeScript
import * as cdk from 'aws-cdk-lib';
import * as s3 from 'aws-cdk-lib/aws-s3';
import * as lambda from 'aws-cdk-lib/aws-lambda';
export class AppStack extends cdk.Stack {
constructor(scope: cdk.App, id: string, props?: cdk.StackProps) {
super(scope, id, props);
// Creates S3 bucket with encryption and blocking public access
const bucket = new s3.Bucket(this, 'DocumentBucket', {
encryption: s3.BucketEncryption.S3_MANAGED,
blockPublicAccess: s3.BlockPublicAccess.BLOCK_ALL,
removalPolicy: cdk.RemovalPolicy.RETAIN
});
}
}
10. Cost Optimization & System Design Deep Dive#
High-Frequency Cloud Architecture Interview Questions
- How do you design an image upload service for millions of users? Use client-side direct uploads to S3 via Presigned URLs, trigger an asynchronous S3 Event to an SQS queue, and have a Lambda worker resize the image and store metadata in DynamoDB.
- How do you handle sudden 100x traffic spikes on an API? Place an Application Load Balancer in front of ECS Fargate tasks with Target Tracking Auto Scaling, backed by Amazon ElastiCache (Redis) for read-heavy operations, and RDS Proxy for database connection throttling.
- How do you cut AWS cloud costs by 30%? Adopt AWS Graviton (ARM64) instances, replace underutilized NAT Gateways with VPC Endpoints for S3/DynamoDB, set S3 Lifecycle transition rules to Intelligent-Tiering, and delete unattached EBS storage volumes.
Next Steps: Review quick fundamentals in the AWS Crash Course, explore container orchestration in the Kubernetes Guide, or return to the TechToday Homepage.