A deep dive into a Fan-Out architecture using AWS Lambda, SNS, and SQS.
Scope:
- The concept of Fan-Out
Pattern,
- AWS Services in Fan-Out
Pattern,
- Architecture Diagram,
- Step-by-Step Implementation,
- Key Considerations,
- Advanced Patterns,
- Benefits of This Architecture.
1. The concept of Fan-Out Pattern
The Fan-Out pattern is used when a single event or single message needs to be processed by multiple independent consumers.
- Publisher:
The component that generates the event (e.g., a Lambda function or an application).
- Broker: A messaging service (like SNS) that distributes the event to multiple subscribers.
- Subscribers:
The endpoints that consume the event (e.g., multiple SQS queues, Lambda
functions, or HTTP endpoints).
Use-case examples:
- Order placed →
Notify inventory system, shipping system, and analytics system.
- User signup →
Trigger welcome email, log analytics, and create CRM entry.
2. AWS Services in Fan-Out Pattern
SNS (Simple Notification Service)
- Acts as a pub/sub messaging broker.
- Supports multiple protocols: SQS, Lambda, HTTP/S, Email, SMS.
- Can fan out a single message to many subscribers simultaneously.
SQS (Simple Queue Service)
- Durable queue for decoupling services.
- Each subscriber can process messages independently and reliably.
- Supports FIFO queues for ordering or standard queues for high throughput.
Lambda (Optional)
- Can act as publisher or subscriber.
- Processes messages from SQS queues asynchronously
3. Architecture Diagram
Explanation:
- Publisher pushes message to SNS topic.
- SNS fans out the message to multiple SQS queues.
- Each SQS queue triggers its own Lambda processor, decoupling workloads.
4. Step-by-Step Implementation
Step 1: Create
an SNS Topic
# yamlaws sns create-topic --name fanout-topicStep 2: Create
Multiple SQS Queues
# yamlaws sqs create-queue --queue-name queue1aws sqs create-queue --queue-name queue2aws sqs create-queue --queue-name queue3Step 3: Subscribe
SQS Queues to SNS Topic
# yamlaws sns subscribe --topic-arn <SNS_TOPIC_ARN> --protocol sqs --notification-endpoint <SQS_QUEUE_ARN>Step 4: (Optional) Lambda Triggers
- Each SQS queue can trigger a Lambda function to process messages asynchronously.
Lambda Example (Python):
# pythonimport jsondef lambda_handler(event, context): for record in event['Records']: body = json.loads(record['body']) print("Processing:", body)5. Key Considerations
Message Delivery
- SNS delivers messages at least once.
- SQS ensures durable storage.
Decoupling
- Each SQS queue processes messages independently, preventing bottlenecks.
- Failures in one consumer do not affect others.
Dead Letter Queue (DLQ)
- For failed messages in SQS or Lambda, configure a DLQ to capture them for later inspection.
Scaling
- SNS scales automatically.
- SQS queues can scale independently.
- Lambda concurrency can be tuned per queue.
Ordering
- Standard SQS queues: at least once, no ordering guarantee.
- FIFO SQS queues: exactly once, preserves order.
- SNS + FIFO SQS = strict ordering support.
6. Advanced Patterns
Message Filtering
- SNS supports subscription filters.
- Allows selective delivery to queues based on message attributes:
# json{ "eventType": ["order_placed", "order_shipped"]}Cross-Account Fan-Out
- SNS can fan out messages to SQS queues in different AWS accounts, enabling multi-tenant architectures.
Monitoring
- Use CloudWatch metrics for:
- SNS:
NumberOfMessagesPublished - SQS:
ApproximateNumberOfMessagesVisible - Lambda:
Invocations,Errors,Throttles
7. Benefits of This Architecture
- Loose coupling: Each service operates independently.
- Scalable: SNS and SQS scale horizontally.
- Reliable: Durable queues + DLQs handle failures gracefully.
- Flexible: Easy to add new subscribers without affecting others.
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