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| name | aws-advanced-patterns |
| category | cloud-native |
| difficulty | advanced |
| estimated_time | 60 minutes |
| prerequisites | ["serverless","cloud-concepts","aws-fundamentals"] |
| tags | ["aws","step-functions","eventbridge","lambda-layers","dynamodb","observability"] |
| version | 1.0.0 |
| description | Orchestration & Events: |
Master advanced AWS serverless architectures, event-driven patterns, and enterprise-grade cloud solutions.
Orchestration & Events:
Data & Storage:
Integration:
Observability:
# Event-Driven Architecture
Pattern: Publisher → EventBridge → Subscribers
Use Case: Microservices decoupling, cross-account events
Key Services: EventBridge, Lambda, SQS
# Orchestrated Workflow
Pattern: API → Step Functions → Lambda/Services
Use Case: Multi-step processes, saga pattern, ETL
Key Services: Step Functions, Lambda, DynamoDB
# Fan-Out Processing
Pattern: SNS Topic → Multiple SQS Queues → Lambda
Use Case: Parallel processing, multi-tenant systems
Key Services: SNS, SQS, Lambda
# CQRS Pattern
Pattern: Write DB → DynamoDB Streams → Read DB
Use Case: Read/write separation, materialized views
Key Services: DynamoDB Streams, Lambda, ElastiCache
# Saga Pattern
Pattern: Step Functions → Compensating Transactions
Use Case: Distributed transactions, rollback logic
Key Services: Step Functions, Lambda, DynamoDB
Security:
Cost Optimization:
Reliability:
Observability:
📚 Full Examples: See REFERENCE.md for complete code samples, detailed configurations, and production-ready implementations.
Custom Authorizers - Lambda functions that validate tokens/API keys before allowing API access.
Usage Plans & Rate Limiting:
VTL Mapping Templates - Transform request/response without Lambda:
$context variables (requestId, authorizer data, sourceIP)$input for payload manipulationSee REFERENCE.md for authorizer implementations, VTL examples, and WebSocket APIs.
Single-Table Design - Store multiple entity types in one table using composite keys.
Key Strategy:
PK (Partition Key): Entity type + ID (e.g., USER#123, ORDER#456)SK (Sort Key): Relationship or sub-entity (e.g., PROFILE, ORDER#2024-01-15)Common Patterns:
DynamoDB Streams - Capture changes (INSERT/MODIFY/REMOVE) for:
Transactions - ACID operations across up to 100 items:
TransactWriteItems - Atomic writes with conditionsTransactGetItems - Consistent readsSee REFERENCE.md for complete access patterns, stream processors, and transaction examples.
FIFO Queues - Guarantee ordering and exactly-once processing:
MessageGroupId - Messages with same ID processed in orderMessageDeduplicationId - Prevents duplicates (5-minute window)Fan-Out Pattern (SNS → Multiple SQS):
Dead-Letter Queues (DLQ):
maxReceiveCount attemptsBest Practices:
See REFERENCE.md for FIFO queue setup, SNS filter policies, and DLQ consumers.
Lambda:
DynamoDB:
S3:
General:
See REFERENCE.md for auto-scaling configs, lifecycle policies, and cost analysis scripts.
X-Ray Distributed Tracing:
CloudWatch Custom Metrics (EMF):
Structured Logging:
console.log(JSON.stringify({
level: 'INFO',
message: 'Order processed',
orderId, customerId,
timestamp: new Date().toISOString()
}));
Best Practices:
See REFERENCE.md for X-Ray instrumentation, EMF examples, and structured logger implementations.
Step Functions:
EventBridge:
Lambda Layers:
DynamoDB:
Observability:
Books:
"AWS Lambda in Action" by Danilo Poccia
"The DynamoDB Book" by Alex DeBrie
"Serverless Architectures on AWS" by Peter Sbarski
Courses:
AWS Certified Solutions Architect Professional
A Cloud Guru: AWS Serverless
Linux Academy: DynamoDB Deep Dive
AWS Prescriptive Guidance:
Reference Architectures:
See included templates and scripts:
templates/step-functions-state-machine.json
templates/eventbridge-patterns.json
templates/lambda-layer-structure/
templates/dynamodb-single-table.yaml
templates/custom-authorizer.js
scripts/cost-optimization.py