Implementing Cloud Design Patterns for AWS
图书信息
| 作者 | Marcus Young |
| 出版社 | Packt Publishing |
| ISBN | 9781782177357 |
| 出版时间 | 2015-04-29 |
| 字数 | 43.1万 |
| 分类 | 进口书,外文原版书,电脑,网络 |
读书简介
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.
目录
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
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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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