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)

Introducing big data applications

Big data applications require the ability to ingest and store massive amounts of structured and unstructured data. We also need to be able access and/or process the data flexibly and securely. Additionally, we would like to future proof our big data solution (design and implementation) against rapidly evolving business use cases and technology.

There are three typical types of data-driven development:

  1. Historical analysis and reporting supported by using services such as Amazon Redshift, Amazon RDS, Amazon S3, and Amazon EMR
  2. Real-time processing and dashboards supported by using services such as Amazon Kinesis, Amazon EC2, and AWS Lambda
  3. Intelligent applications supported by using services such as Amazon Deep Learning AMI, Amazon machine learning, and Amazon SageMaker

Traditionally, batch processing has been used to process massive volumes of...