{"id":2840,"date":"2017-06-14T14:57:32","date_gmt":"2017-06-14T14:57:32","guid":{"rendered":"http:\/\/cloudkul.com\/blog\/?p=2840"},"modified":"2025-02-06T09:51:21","modified_gmt":"2025-02-06T09:51:21","slug":"how-to-setup-aws-auto-scaling","status":"publish","type":"post","link":"https:\/\/cloudkul.com\/blog\/how-to-setup-aws-auto-scaling\/","title":{"rendered":"Set up Amazon Auto Scaling"},"content":{"rendered":"\n

In our previous blog, we got an overview of AWS auto-scaling<\/a>, its features, and its applicability.<\/p>\n\n\n\n

In this blog, we will begin with setting up an Auto Scaling Group and integrating it with AWS Elastic Load Balancer<\/a> and AWS CloudWatch<\/a>.<\/p>\n\n\n\n

Let’s Start With Auto Scaling Launch Configuration<\/h2>\n\n\n\n

First and foremost, we will create a launch configuration that acts as a template that the auto-scaling group uses to launch EC2 instances<\/a>.<\/p>\n\n\n\n

It contains information about AMI ID, instance type, one or more security groups, subnet(s), key pair, user data, etc.<\/p>\n\n\n\n

Step 1- login into your AWS account, and go to Launch Configurations under Auto Scaling Category.<\/h3>\n\n\n\n

Then click on ‘Create Autoscaling Group’<\/p>\n\n\n\n

\"<\/a><\/figure>\n\n\n\n

Step 2 – First, we need to create a launch configuration, so click on “Create launch configuration”.<\/h3>\n\n\n\n
\"<\/a><\/figure>\n\n\n\n

\"<\/a>Then, it will ask you to select an AMI for launch configuration. We are using my custom AMI named DND – ami-09e3a91f which has LAMP server and other dependencies already installed.<\/p>\n\n\n\n

Here, we will select the t2.micro instance that comes under AWS free-tier criteria. Moving further to configure details,<\/p>\n\n\n\n

\"<\/a><\/figure>\n\n\n\n

\"<\/a>Here, we have named our launch configuration “new-launch-configuration”. As shown above, we are taking all the other values as default.<\/p>\n\n\n\n

Although we have mentioned a simple bash script in user data. User data contains a set of commands that we want to get executed on the instances launched by the auto-scaling group.<\/p>\n\n\n\n

At this point, we are just entering a digit in a file as an example. Now, moving on to adding storage.<\/p>\n\n\n\n

\"<\/a><\/figure>\n\n\n\n

Step 3 – Taking all values as defaults, we will move on to configure the security group.<\/h3>\n\n\n\n

\"<\/a>We will here select an existing security group that is listening to our ports or we can create a new security group and set up an access control list in it.<\/p>\n\n\n\n

\"<\/a>Review launch configuration details. AWS will launch instances based on this template. After reviewing, click on “Create launch configuration”.<\/p>\n\n\n

\n
\"<\/a><\/figure><\/div>\n\n\n

Here, we are choosing an existing key pair. We can also create a new key pair. Clicking on Create launch configuration,<\/p>\n\n\n\n

\"<\/a>After a while, the launch configuration will be created and we can review all the details. Now we have to create an Auto-scaling group.<\/p>\n\n\n\n

Getting Started with Auto Scaling Group<\/h2>\n\n\n\n

Step 1 –  We have named our auto-scaling group “new-autoscaling-group”.<\/h3>\n\n\n\n

Group size is set to 1 which defines the number of instances that get launched after the group creation.<\/p>\n\n\n\n

\"<\/a><\/figure>\n\n\n\n

Also, we have selected our default VPC and all subnets within that region. On further scrolling down, configure advanced details as:<\/p>\n\n\n\n

\"<\/a>We have checked on the option for receiving traffic from the load balancer<\/a> and also selected our already created classic load balancer naming “test”.<\/p>\n\n\n\n

Step 2 – We will take rest of the values as default and move on to configure scaling policies.<\/h3>\n\n\n\n
\"<\/a><\/figure>\n\n\n\n

As the auto-scaling group automatically scales instances up and down, depending upon the policies created, we will choose scaling policies to adjust the capacity of this group.<\/p>\n\n\n\n

Policies can be created with the help of Amazon CloudWatch. Here, we have already created an alarm for scale-out policy depending upon CPU usage.<\/p>\n\n\n\n

Now, moving on to create scale in policy:<\/p>\n\n\n\n

\"<\/a>As we can see, we have already created an alarm for scale-in policy based on CPU usage. Moving on to the next step,<\/p>\n\n\n\n

\"<\/h6>\n\n\n\n

Step 3- Here  we will configure no notification policies and move to a further step,<\/h3>\n\n\n\n

Add a tag to our group and click on review.<\/p>\n\n\n\n

\"<\/a>Review all the details and click on Create Auto Scaling group.<\/p>\n\n\n\n

\"<\/a>Now, our auto-scaling group has been created which receives traffic from the load balancer named “test” and, has desired number of instances as 1 and minimum to maximum instance counts as 1 to 2.<\/p>\n\n\n\n

No running instance is associated with our load balancer in this auto-scaling group, so a new instance will launch using the launch configuration to meet the minimum instance count.<\/p>\n\n\n\n

After passing through load balancer health checks, a new instance will be created under this group.<\/p>\n\n\n\n

\"<\/a>As we can see, an instance is InService within one of the availability zones of our region using our custom launch configuration.<\/p>\n\n\n\n

Although we have already created our scaling policies, we can add more alarms based on these policies by clicking on “the Scaling Policies” option. Click on add policy and create a new alarm as:<\/p>\n\n\n\n

\"<\/a><\/figure>\n\n\n\n

This is the same alarm that we have created for monitoring CPU usage for scale-out policies.<\/p>\n\n\n\n

Conclusion<\/h2>\n\n\n\n

Our AWS Auto Scaling Group is all set up with integration with AWS Classic Load Balancer<\/a> and  AWS CloudWatch.<\/p>\n\n\n\n

We can create more scaling policies for auto-scaling groups to ensure high availability and reduce server downtime.<\/p>\n\n\n\n

So far we have discussed creating an Amazon auto-scaling group. In our next blog, we will discuss a complete architecture using AWS resources.<\/p>\n\n\n\n

Need Support?<\/h2>\n\n\n\n

Thank You for reading this Blog!<\/p>\n\n\n\n

For further more interesting blogs, keep in touch with us. If you need any kind of support, simply raise a ticket at https:\/\/webkul.uvdesk.com\/en\/<\/a>.<\/strong><\/p>\n\n\n\n

For further help or queries, please contact<\/a> us or raise a ticket<\/a>.<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"

In our previous blog, we got an overview of AWS auto-scaling, its features, and its […]<\/a><\/p>\n","protected":false},"author":7,"featured_media":2973,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_mi_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[32,2,45],"tags":[41,16,178,48,42],"yoast_head":"\nSet up Amazon Auto Scaling - Cloudkul<\/title>\n<meta name=\"description\" content=\"Amazon Web Services provides Auto Scaling, which ensures that you have the correct number of Amazon EC2 instances available to handle the load for your application.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/cloudkul.com\/blog\/how-to-setup-aws-auto-scaling\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Set up Amazon Auto Scaling - 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