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Key Points
Amazon Web Services (AWS) provides a wide range of cloud computing services, including Elastic Compute Cloud (EC2) for scalable computing resources. EC2 Auto-Scaling is a powerful feature that allows you to automatically adjust the number of EC2 instances in your infrastructure as needed. In this tutorial, we will cover the basics of AWS EC2 auto-scaling and provide step-by-step instructions on how to set it up.
Content:
Introduction to AWS EC2 Automatic Scaling
EC2 Autoscaling helps you maintain the best number of instances in your infrastructure by automatically scaling up or down based on your needs. This ensures that you have enough resources to handle traffic spikes and reduce costs by freeing unwanted instances during low demand.
EC2 automatic scaling includes three main components:
EC2 Automatic Scaling Prerequisites
Before you start, make sure you have the following:
Create EC2 launch template
The startup template is a reusable configuration that specifies the settings for instances launched in the autoscaling group. To create a launch template, follow these steps:
You can also create a launch template using the AWS CLI using the following command:
<code>aws ec2-template --launch-template-name MyLaunchTemplate --version-description "Initial version" --launch-template-data '{"ImageId":"ami-0c94855ba95b798c7","InstanceType":"t2.micro","KeyName":"my-key-pair"}'</code>
Replace the values of ImageId, InstanceType, and KeyName with the settings you want.
Create an automatic scaling group
The auto-scaling group is a collection of instances that share the same startup template and scaling policy. To create an autoscaling group, follow these steps:
You can also use the following command to create an autoscaling group using the AWS CLI:
<code>aws Auto Scaling create-auto-scaling-group --auto-scaling-group-name MyAuto ScalingGroup --launch-template "LaunchTemplateName=MyLaunchTemplate" --min-size 1 --max-size 3 --desired-capacity 2 --vpc-zone-identifier "subnet-12345678,subnet-abcdefgh"</code>
Replace the values of LaunchTemplateName, min-size, max-size, desired-capacity, and vpc-zone-identifier with the settings you need.
Configure scaling policy
Scaling strategy determines when and how to extend the number of instances in the autoscaling group. There are three types of scaling strategies:
In this tutorial, we will focus on the target tracking scaling strategy.
To create a target tracking scaling policy, follow these steps:
You can also use the AWS CLI to create a target tracking scaling policy using the following command:
<code>aws ec2-template --launch-template-name MyLaunchTemplate --version-description "Initial version" --launch-template-data '{"ImageId":"ami-0c94855ba95b798c7","InstanceType":"t2.micro","KeyName":"my-key-pair"}'</code>
Replace the values of policy-name, auto-scaling-group-name, PredefinedMetricType, and TargetValue with the settings you want.
Monitoring and testing
When setting up the auto-scaling group and scaling policy, be sure to monitor and test your configuration to make sure it works as expected.
To monitor your autoscaling group, you can use Amazon CloudWatch to track metrics such as CPU utilization, network traffic, and instance count. You can also set up CloudWatch alerts to notify you when a certain threshold is exceeded.
To test your autoscaling configuration, you can simulate traffic peaks or resource usage increases and observe how your autoscaling group responds. You can also manually adjust the required capacity of the autoscaling group to see how it scales up or down.
Conclusion
In this tutorial, we introduce the basics of AWS EC2 auto-scaling, including creating startup templates, auto-scaling groups, and scaling policies. By implementing autoscaling in your infrastructure, you can ensure you have enough resources to handle traffic spikes and reduce costs by freeing up unwanted instances during low demand.
(Subsequent content, such as EC2 automatic scaling cheat sheet and FAQ, is omitted here due to space limitations. You can add it yourself as needed.)
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