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Table Of Contents

Learning AWS - Second Edition

By : Sarkar, Shah

4.3 (7)

Buy this Book

Learning AWS

4.3 (7)

By: Sarkar, Shah

Buy this Book

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.

Preface

Who this book is for

What this book covers

To get the most out of this book

Get in touch

Free Chapter

Cloud 101 – Understanding the Basics

Defining cloud computing

Introducing public, private, and hybrid clouds

Introducing cloud service models – IaaS, PaaS, and SaaS

Introducing multi-tenancy models

Understanding cloud-based workloads

Setting up your AWS account

Summary

Designing Cloud Applications

Introducing cloud-based multitier architecture

Designing for multi-tenancy

Understanding cloud applications design principles

Understanding emerging cloud-based application architectures

Estimating your cloud computing costs

A typical e-commerce web application

Summary

Introducing AWS Components

AWS components

Managing costs on AWS cloud

Application development environments

Setting up the AWS infrastructure

Summary

Designing for and Implementing Scalability

Defining scalability objectives

Designing scalable application architectures

Leveraging AWS infrastructure services for scalability

Evolving architecture against increasing loads

Event handling at scale

Setting up Auto Scaling

Summary

Designing for and Implementing High Availability

Defining availability objectives

Nature of failures

Setting up high availability

Summary

Designing for and Implementing Security

Defining security objectives

Understanding the security responsibilities

Best practices in implementing AWS security

Setting up security

Summary

Deploying to Production and Going Live

Managing infrastructure, deployments, and support at scale

Creating and managing AWS environments using CloudFormation

Using CloudWatch for monitoring

Using AWS solutions for backup and archiving

Planning for production go-live activities

Setting up for production

Summary

Designing a Big Data Application

Introducing big data applications

Analyzing streaming data with Amazon Kinesis

Best practices for serverless big data applications

Best practices for using Amazon EMR

Best practices for distributed machine learning and predictive analytics

Security overview for big data applications

Configuring and using EMR-Spark clusters

Summary

Implementing a Big Data Application

Setting up an Amazon Kinesis Stream

Creating an AWS Lambda function

Using Amazon Kinesis Firehose

Using AWS Glue and Amazon Athena

Using Amazon SageMaker

Summary

Deploying a Big Data System

Using CloudFormation templates

Authoring and deploying serverless applications

Using AWS Serverless Application Repository

Summary

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Configuring and using EMR-Spark clusters

In this section, we will present two simple examples of EMR clusters suitable for basic Spark development. In the first example, we will spin up an EMR cluster, start the Spark shell, and do some Spark-Scala work. In the second example, we will spin up an EMR cluster and run a simple Spark program.

Follow the step-by-step instructions specified next for this hands-on exercise:

We will use the Create Cluster - Quick Options for selecting the options for our cluster. Specify a name for the cluster (FirstEMRSparkClusterUsingQuickOptions). Choose Launch mode as Cluster: