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Building Serverless Python Web Services with Zappa

You're reading from   Building Serverless Python Web Services with Zappa Build and deploy serverless applications on AWS using Zappa

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Product type Paperback
Published in Jul 2018
Publisher Packt
ISBN-13 9781788837613
Length 324 pages
Edition 1st Edition
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Author (1):
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Abdulwahid Abdulhaque Barguzar Abdulwahid Abdulhaque Barguzar
Author Profile Icon Abdulwahid Abdulhaque Barguzar
Abdulwahid Abdulhaque Barguzar
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Toc

Table of Contents (15) Chapters Close

Preface 1. Amazon Web Services for Serverless FREE CHAPTER 2. Getting Started with Zappa 3. Building a Flask Application with Zappa 4. Building a Flask-Based REST API with Zappa 5. Building a Django Application with Zappa 6. Building a Django REST API with Zappa 7. Building a Falcon Application with Zappa 8. Custom Domain with SSL 9. Asynchronous Task Execution on AWS Lambda 10. Advanced Zappa Settings 11. Securing Serverless Applications with Zappa 12. Zappa with Docker 13. Assessments 14. Other Books You May Enjoy

Tracing AWS Lambda failure with dead letter queues


Dead letter queues (DLQ) is a defined mechanism by Amazon to trace the failure of AWS Lambda functions executing asynchronously. AWS Lambda invokes asynchronous mode and retires it twice in case of failure before the event is discarded. DLQ is used to proceed this failure event to an Amazon SQS queue or Amazon SNS topic.

 

Manual DLQ configuration

DLQ can be configured by setting TargetArn (that is, the SQS queue ARN or SNS topic ARN) on the Lambda function's DeadLetterConfig parameter, as mentioned here:

{
    "Code": {
        "ZipFile": blob,
        "S3Bucket": “string”,
        "S3Key": “string”,
        "S3ObjectVersion": “string”
    },
    "Description": "string",
    "FunctionName": "string",
    "Handler": "string",
    "MemorySize": number,
    "Role": "string",
    "Runtime": "string",
    "Timeout": number
    "Publish": bool,
"DeadLetterConfig": {
        "TargetArn": "string" 
    }
} 

Automating DLQ configuration with Zappa

In...

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