Throughout this brief introduction to AWS, we learned not only the background and industry shift into virtualized infrastructure, but also where AWS fits in with some competitors. We not only discussed the kinds of problems AWS solves, but also the kinds of problems that can be encountered in Cloud infrastructure. There are countless unique processes to be solved with this dynamic paravirtual environment. Picking up consistent patterns throughout this book will help to strengthen applications of many forms against these issues. In the next chapter, we will go over some basic design patterns. It is one of the easier topics and covers data backups through instance snapshots, replication through machine imaging, scaling instance types, dynamic scaling through CloudWatch, and increasing the disk size when needed. These patterns help solve common provisioning issues for single instances.
Implementing Cloud Design Patterns for AWS
Implementing Cloud Design Patterns for AWS
Overview of this book
Table of Contents (18 chapters)
Implementing Cloud Design Patterns for AWS
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Introduction
Basic Patterns
Patterns for High Availability
Patterns for Processing Static Data
Patterns for Processing Dynamic Data
Patterns for Uploading Data
Patterns for Databases
Patterns for Data Processing
Patterns for Operation and Maintenance
Patterns for Networking
Throw-away Environments
Index
Customer Reviews