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Implementing Cloud Design Patterns for AWS

You're reading from   Implementing Cloud Design Patterns for AWS Create highly efficient design patterns for scalability, redundancy, and high availability in the AWS Cloud

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Product type Paperback
Published in Apr 2015
Last Updated in Feb 2025
Publisher
ISBN-13 9781782177340
Length 228 pages
Edition 1st Edition
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Author (1):
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 Young Young
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Young
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Table of Contents (13) Chapters Close

Preface 1. Introduction FREE CHAPTER 2. Basic Patterns 3. Patterns for High Availability 4. Patterns for Processing Static Data 5. Patterns for Processing Dynamic Data 6. Patterns for Uploading Data 7. Patterns for Databases 8. Patterns for Data Processing 9. Patterns for Operation and Maintenance 10. Patterns for Networking 11. Throw-away Environments Index

Scale out pattern

We have discussed up to this point how to scale up in resources on an instance but not how to scale out. Scaling up an instance can only help in a few limited examples, but the more important issue is how to add processing power without affecting the client or the systems interacting with our services. To do this, we will tie together a few different EC2 resources. The resource diagram, as shown, will help to visualize what we are trying to accomplish:

Scale out pattern

The general process for this pattern is:

  • Create an elastic load balancer with forwarding ports and health checks
  • Create a launch configuration for the instance
  • Create an auto scaling group with configured CloudWatch alarms and scaling policies

To demonstrate this, we will first create an elastic load balancer. Browse to the Load Balancers portion of the AWS console and select Create Load Balancer as seen in the following screenshot:

Scale out pattern

At the Define Load Balancer prompt, give it a descriptive name in the Load Balancer Name text box...

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