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Implementing Cloud Design Patterns for AWS电子书

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作       者:Marcus Young

出  版  社:Packt Publishing

出版时间:2015-04-29

字       数:43.1万

所属分类: 进口书 > 外文原版书 > 电脑/网络

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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.
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Implementing Cloud Design Patterns for AWS

Table of Contents

Implementing Cloud Design Patterns for AWS

Credits

About the Author

About the Reviewers

www.PacktPub.com

Support files, eBooks, discount offers, and more

Why subscribe?

Free access for Packt account holders

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Downloading the example code

Errata

Piracy

Questions

1. Introduction

Introduction to AWS

Cloud computing service models

Infrastructure as a Service

Platform as a Service

Software as a Service

Benefits of moving to the Cloud

Common problems encountered at AWS

Underlying hardware failures

Over-provisioning

Under-provisioning

Replication

Redundancy

Improving the end user experience

Monitoring and log-gathering

Summary

2. Basic Patterns

Introducing Vagrant

Snapshot pattern

Stamp pattern

Scale up pattern

Scale out pattern

On-demand disk pattern

Volume resize

Change volume from magnetic to SSD

Increase I/O through software RAID

Summary

3. Patterns for High Availability

Multi-server pattern

Multi-data center pattern

Floating IP pattern

Deep health check pattern

Summary

4. Patterns for Processing Static Data

High availability storage

Direct storage hosting

Private data delivery

Content delivery networks

Rename distribution pattern

Summary

5. Patterns for Processing Dynamic Data

Clone server pattern

NFS sharing pattern

State sharing pattern

URL rewriting pattern

Cache proxy pattern

Summary

6. Patterns for Uploading Data

Write proxy pattern

Storage index pattern

Direct object upload pattern

Summary

7. Patterns for Databases

Database replication pattern

Read replica pattern

In-memory cache pattern

Sharding write pattern

Summary

8. Patterns for Data Processing

Queuing chain pattern

Priority queue pattern

Job observer pattern

Summary

9. Patterns for Operation and Maintenance

Bootstrap pattern

Cloud dependency injection pattern

Stack deployment pattern

Monitoring integration pattern

Web storage archive pattern

Weighted transition pattern

Hybrid backup pattern

Summary

10. Patterns for Networking

OnDemand NAT pattern

Management network pattern

Functional firewall pattern

Operational firewall pattern

Web application firewall pattern

Multiple load balancer pattern

Summary

11. Throw-away Environments

Infrastructure as code

CloudFormation

Packer

Fugue

Temporary development environments

Continuous integration

Summary

Index

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