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Learning AWS - Second Edition

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Learning AWS - Second Edition

Autor: Aurobindo Sarkar, Amit Shah
Broj strana: 356
ISBN broj: 9781787281066
Godina izdanja: 2018.

Pregleda (30 dana / ukupno): 22 / 1246

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What You Will Learn

  • Set up your AWS account and get started with the basic concepts of AWS
  • Learn about AWS terminology and identity access management
  • Acquaint yourself with important elements of the cloud with features such as computing, ELB, and VPC
  • Back up your database and ensure high availability by having an understanding of database-related services in the AWS cloud
  • Integrate AWS services with your application to meet and exceed non-functional requirements
  • Create and automate infrastructure to design cost-effective, highly available applications

Book Description

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 realtime serverless environments, and deploying serverless APIs with microservices. Finally, this book will teach you to monitor your applications, and 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.


Aurobindo Sarkar

Aurobindo Sarkar is currently the country head (India Engineering Center) for ZineOne Inc. With a career spanning over 25 years, he has consulted at some of the leading organizations in India, the US, the UK, and Canada. He specializes in real-time architectures, machine learning, cloud engineering, and big data analytics. Aurobindo has been actively working as a CTO in technology startups for over 8 years now. He also teaches machine learning courses at business schools and corporates.

Amit Shah

Amit Shah has a bachelor's degree in electronics. He is a director at Global Eagle. He has been programming since the early '80s, the first wave of personal computing―initially as a hobbyist and then as a professional. His areas of interest include embedded systems, IoT, analog, and digital hardware design, systems programming, cloud computing, and enterprise architecture. He has been working extensively in the fields of cloud computing and enterprise architecture for the past 7 years.

Table of Contents

Chapter 1: 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 
Chapter 2: 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
Chapter 3: Introducing AWS Components
  • AWS components
  • Managing costs on AWS cloud
  • Application development environments
  • Setting up the AWS infrastructure
  • Summary
Chapter 4: 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 
Chapter 5: Designing for and Implementing High Availability
  • Defining availability objectives
  • Nature of failures
  • Setting up high availability
  • Summary
Chapter 6: Designing for and Implementing Security
  • Defining security objectives
  • Understanding the security responsibilities
  • Best practices in implementing AWS security
  • Setting up security
  • Summary
Chapter 7: 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
Chapter 8: 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
Chapter 9: 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
Chapter 10: Deploying a Big Data System
  • Using CloudFormation templates
  • Authoring and deploying serverless applications
  • Using AWS Serverless Application Repository
  • Summary


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