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When building event-driven architectures, the goal is to decouple components and make the system scalable. A common approach involves using an event bus or queue between components. Event producers push events to the bus or queue, and event consumers either have events pushed to them or pull events from the queue.
One AWS implementation uses Simple Queue Service (SQS). Producers push events to SQS, and consumers pull from SQS. AWS Lambda supports an “event source mapping”, where a Lambda function is invoked when events occur in supported AWS services, such as new messages in an SQS queue.
Ahmed Salem’s article demonstrates how to use the Serverless Application Model (SAM) to set up a sample architecture with:
– Lambda producer (pushes events to SQS)
– Lambda consumer (triggered via SQS Event Source Mapping)
You Should Know:
1. AWS SAM CLI Setup
Install AWS SAM CLI to deploy serverless applications:
pip install aws-sam-cli sam --version
2. SAM Template for SQS + Lambda
A basic `template.yaml` for SQS-triggered Lambda:
Resources: MyQueue: Type: AWS::SQS::Queue ProducerFunction: Type: AWS::Serverless::Function Properties: CodeUri: producer/ Handler: app.handler Runtime: python3.9 Policies: - SQSSendMessagePolicy: QueueName: !GetAtt MyQueue.QueueName ConsumerFunction: Type: AWS::Serverless::Function Properties: CodeUri: consumer/ Handler: app.handler Runtime: python3.9 Events: SQSEvent: Type: SQS Properties: Queue: !GetAtt MyQueue.Arn BatchSize: 10
3. Deploying with SAM
sam build sam deploy --guided
4. SQS CLI Commands
Send a test message:
aws sqs send-message --queue-url [bash] --message-body "Test Event"
Receive messages:
aws sqs receive-message --queue-url [bash] --max-number-of-messages 10
5. Lambda Logs
Check Lambda execution logs:
aws logs tail /aws/lambda/[bash] --follow
What Undercode Say:
Event-driven architectures using SQS + Lambda reduce coupling and improve scalability. Key takeaways:
– SQS ensures message durability.
– Lambda Event Source Mapping automates event processing.
– AWS SAM simplifies deployment.
For advanced use, consider:
- Dead-Letter Queues (DLQ) for error handling.
- Batch Processing for efficiency.
- Step Functions for complex workflows.
Prediction:
Serverless event-driven architectures will dominate cloud-native apps, with SQS, Lambda, and SAM becoming standard tools for scalable, low-maintenance systems.
Expected Output:
- Deployed SQS queue.
- Lambda functions triggered by SQS.
- Logs confirming event processing.
- Scalable, decoupled serverless architecture.
References:
Reported By: Darryl Ruggles – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
