Book Image

Learning AWS - Second Edition

By : Aurobindo Sarkar, Amit Shah
Book Image

Learning AWS - Second Edition

By: Aurobindo Sarkar, Amit Shah

Overview of this book

Amazon Web Services (AWS) is the most popular and widely-used cloud platform. Administering and deploying application on AWS makes the applications resilient and robust. The main focus of the book is to cover the basic concepts of cloud-based development followed by running solutions in AWS Cloud, which will help the solutions run at scale. This book not only guides you through the trade-offs and ideas behind efficient cloud applications, but is a comprehensive guide to getting the most out of AWS. In the first section, you will begin by looking at the key concepts of AWS, setting up your AWS account, and operating it. This guide also covers cloud service models, which will help you build highly scalable and secure applications on the AWS platform. We will then dive deep into concepts of cloud computing with S3 storage, RDS and EC2. Next, this book will walk you through VPC, building real-time serverless environments, and deploying serverless APIs with microservices. Finally, this book will teach you to monitor your applications, automate your infrastructure, and deploy with CloudFormation. By the end of this book, you will be well-versed with the various services that AWS provides and will be able to leverage AWS infrastructure to accelerate the development process.
Table of Contents (12 chapters)

Using Amazon Kinesis Firehose

In this section, we will implement a delivery stream using Kinesis Firehose. The application reads data from a Kinesis Stream and stores it in a S3 bucket.

  1. Log in to the Management Console and go to the Kinesis Firehose console. Click on the Create delivery stream button. Specify a name (kinesisfirehosedeliverystream) for the Delivery stream name:
  1. Choose the source as Kinesis stream and select the Kinesis stream we created in a previous section (KinesisTestStream) from the dropdown list:
  1. To keep our example simple, we will not do any Lambda-based processing of the incoming data. So select the Disabled option for the Record transformation parameter. Click on the Next button:
  1. Create an Amazon S3 bucket called kinesistestdata from the S3 console. Select Amazon S3 as the Destination for streaming data to be stored by Kinesis Firehose:
    ...