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Serverless Programming Cookbook

You're reading from   Serverless Programming Cookbook Practical solutions to building serverless applications using Java and AWS

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781788623797
Length 490 pages
Edition 1st Edition
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Heartin Kanikathottu Heartin Kanikathottu
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Heartin Kanikathottu
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Table of Contents (12) Chapters Close

Preface 1. Getting Started with Serverless Computing on AWS FREE CHAPTER 2. Building Serverless REST APIs with API Gateway 3. Data Storage with Amazon DynamoDB 4. Application Security with Amazon Cognito 5. Web Hosting with S3, Route53, and CloudFront 6. Messaging and Notifications with SQS and SNS 7. Redshift, Amazon ML, and Alexa Skills 8. Monitoring and Alerting with Amazon CloudWatch 9. Serverless Programming Practices and Patterns 10. Other Cloud Providers 11. Other Books You May Enjoy

Throughput provisioning examples

Provisioned throughput is the maximum read and write capacity that an application can use within a table or index.

If we use more than the specified RCU or WCU, DynamoDB can throttle the requests, the requests will fail with a 400 (bad request) error, and DynamoDB throws ProvisionedThroughputExceededException. AWS SDKs can do automatic retries in the case of a throughput exception.

Apart from manual throughput provisioning, DynamoDB also supports features such as auto-scaling and reserved capacity. Having a decent understanding of throughput provisioning can help you configure these alternate options efficiently. We will discuss different throughput provisioning scenarios in this recipe.

Getting ready

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