Implementing.Cloud.Design.Patterns.for.AWS

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文件名称：Implementing.Cloud.Design.Patterns.for.AWS
文件大小：6.32MB
文件格式：PDF
更新时间：2018-05-27 08:11:43
Cloud Design Patterns AWS Title: Implementing Cloud Design Patterns for AWS Author: Marcus Young Length: 234 pages Edition: 1 Language: English Publisher: Packt Publishing Publication Date: 2015-05-15 ISBN-10: 1782177345 ISBN-13: 9781782177340 Create highly efficient design patterns for scalability, redundancy, and high availability in the AWS Cloud About This Book Create highly robust systems using cloud infrastructure Make web applications resilient against scheduled and accidental down-time Explore and apply Amazon-provided services in unique ways to solve common problems Who This Book Is For This book is aimed at architects, solution providers, and those of the DevOps community who are looking to implement repeatable patterns for deploying and maintaining services in the Amazon cloud infrastructure. Prior experience using AWS is required as the book focuses more on the patterns and not on the basics of using AWS. In Detail Whether you are just getting your feet wet in cloud infrastructure or already creating complex systems, this book aims at describing patterns that can be used to fit your system needs. The initial patterns will cover some basic processes such as maintaining and storing backups as well as handling redundancy. The book will then take you through patterns of high availability. Following this, the book will discuss patterns for processing static and dynamic data and patterns for uploading data. The book will then dive into patterns for databases and data processing. In the final leg of your journey, you will get to grips with advanced patterns on Operations and Networking and also get acquainted with Throw-away Environments. Table of Contents Chapter 1: Introduction Chapter 2: Basic Patterns Chapter 3: Patterns For High Availability Chapter 4: Patterns For Processing Static Data Chapter 5: Patterns For Processing Dynamic Data Chapter 6: Patterns For Uploading Data Chapter 7: Patterns For Databases Chapter 8: Patterns For Data Processing Chapter 9: Patterns For Operation And Maintenance Chapter 10: Patterns For Networking Chapter 11: Throw-Away Environments