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)

Best practices for serverless big data applications

There is a massive shift toward serverless computing for big data and other applications on AWS Cloud. The popularity of serverless stems from the huge advantages it provides in terms of having no servers to provision or manage; it scales with usage and you never pay for the idle time. Additionally, availability and fault tolerance are built-in.

Serverless nicely fits into big data platforms as you can flexibly mix and match serverless, managed, and virtualized services. These services can be easily leveraged to rapidly ingest, categorize, and discover your data, allow easy query and analysis of your data, transform and load data, provide custom event-based handlers, and so on. Overall, a serverless approach allows you to focus more on analytics / use cases and not on infrastructure or servers.

A serverless strategy can be applied...