
Implementing Cloud Design Patterns for AWS
Create highly efficient design patterns for scalability, redundancy, and high availability in the AWS Cloud
Marcus Young(Author)
Packt Publishing
Published on 29. April 2015
Book
Paperback/Softback
228 pages
978-1-78217-734-0 (ISBN)
Description
Key Features
Book DescriptionThis 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.What you will learn
Create and maintain server backups
Implement scaling policies on schedules, influxes in traffic, and deep health checks
Provision servers and data that persist through termination
Make complete use of high availability storage and redundancy storage
Design content delivery networks to improve user experience
Optimize databases through caching and sharding
Monitor and queue data for processing
Who this book is forThis 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.
Book DescriptionThis 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.What you will learn
Create and maintain server backups
Implement scaling policies on schedules, influxes in traffic, and deep health checks
Provision servers and data that persist through termination
Make complete use of high availability storage and redundancy storage
Design content delivery networks to improve user experience
Optimize databases through caching and sharding
Monitor and queue data for processing
Who this book is forThis 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.
More details
Language
English
Place of publication
Birmingham
United Kingdom
Target group
Professional and scholarly
US School Grade: College Graduate Student
Dimensions
Height: 235 mm
Width: 191 mm
Thickness: 12 mm
Weight
435 gr
ISBN-13
978-1-78217-734-0 (9781782177340)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Marcus Young
Implementing Cloud Design Patterns for AWS
Create highly efficient design patterns for scalability, redundancy, and high availability in the AWS Cloud
E-Book
01/2025
Packt Publishing
from
€37.19
Available for download
Person
Marcus Young obtained a degree in computer science and mathematics before getting involved in system administration and DevOps. He currently works in software automation using open source tools and technologies. His hobbies include playing ice hockey and brewing homebrew beer. He also enjoys hardware projects based on microcontrollers and single-board computers.
Content
Table of Contents
Introduction/Common problems encountered in AWS
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
Introduction/Common problems encountered in AWS
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