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AWS for System Administrators

You're reading from   AWS for System Administrators Build, automate, and manage your infrastructure on the most popular cloud platform – AWS

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Product type Paperback
Published in Feb 2021
Publisher Packt
ISBN-13 9781800201538
Length 388 pages
Edition 1st Edition
Tools
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Author (1):
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Prashant Lakhera Prashant Lakhera
Author Profile Icon Prashant Lakhera
Prashant Lakhera
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Toc

Table of Contents (18) Chapters Close

Preface 1. Section 1: AWS Services and Tools
2. Chapter 1: Setting Up the AWS Environment FREE CHAPTER 3. Chapter 2: Protecting Your AWS Account Using IAM 4. Section 2: Building the Infrastructure
5. Chapter 3: Creating a Data Center in the Cloud Using VPC 6. Chapter 4: Scalable Compute Capacity in the Cloud via EC2 7. Section 3: Adding Scalability and Elasticity to the Infrastructure
8. Chapter 5: Increasing an Application's Fault Tolerance with Elastic Load Balancing 9. Chapter 6: Increasing Application Performance Using AWS Auto Scaling 10. Chapter 7: Creating a Relational Database in the Cloud using AWS Relational Database Service (RDS) 11. Section 4: The Monitoring, Metrics, and Backup Layers
12. Chapter 8: Monitoring AWS Services Using CloudWatch and SNS 13. Chapter 9: Centralizing Logs for Analysis 14. Chapter 10: Centralizing Cloud Backup Solution 15. Chapter 11: AWS Disaster Recovery Solutions 16. Chapter 12: AWS Tips and Tricks 17. Other Books You May Enjoy

Understanding Auto Scaling policies

Let's revisit the concept of scaling once more. Scaling refers to the increasing or decreasing of the compute capacity of your application. It usually starts with a scaling action or an event that tells an Auto Scaling group to either launch a new instance or terminate existing ones.

AWS provides a bunch of ways to scale your Auto Scaling group. Let's look at these scaling policies one by one:

  • Scale manually: This is the most basic way to scale your resources. You only need to specify the minimum, maximum, or desired capacity of your Auto Scaling group. We used a manual scaling policy in Figure 6.14, where we manually specify the desired, minimum, and maximum capacity.
  • Scale based on demand/dynamic scaling: This is an advanced scaling policy where we can define the parameter that controls our scaling process in response to changing demand. For example, so far, we only have two EC2 web instances to handle the application load...
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