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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

Your first Kinesis data stream (AWS CLI)

In the previous chapter, we learned how we can use SQS for messaging. SQS is good for standard data transfer (messaging) within serverless microservice applications; however, applications that work on big data and data analytics demand more. KDS is a highly scalable data streaming service that is used for such use cases.

KDS consists of an ordered sequence of data records. A stream is composed of multiple shards with different unique sequences of data records. A partition key is used to group data into shards. In the following recipe, we will create a simple KDS, put data into the stream, and retrieve data from the stream, all using AWS CLI.

Getting ready

There are no additional prerequisites...

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