How to import migrated Amazon EC2 instances into infrastructure code

Modeling Infrastructure as Code (IaC) enables you to automate the lifecycle of Amazon Web Services resources. However, the timing for IaC adoption can vary. Amazon Web Services customers often move quickly in the beginning by performing block-level replication of their servers to the cloud. This is suitable when hundreds or thousands of servers need to exit their data center on a strict timeline with minimal involvement of application teams and other vendors. After the migration, customers look for ways to manage their cloud environments more efficiently. They also look for ways to reduce the number of outdated Amazon Machine Images (AMIs) .

This blog discusses the use case of server migrations using Amazon Web Services Application Migration Service . We describe how to simplify the CloudFormation import and manage your cutover instances . We use Former2 , an open-source IaC template creation utility. Former2 supports Amazon Web Services CloudFormation , Amazon Web Services Cloud Developer Kit (Amazon Web Services CDK) , and Terraform , among others. Post-launch actions ensure every cutover instance has an installed Systems Manager Agent . This offers a simple way to automate administrative tasks such as AMI management. This allows you to maintain the migration speed and reduce the effort to operate at scale.

Considerations and prerequisites

The following are recommended for continuing with this post:

• For testing purposes and to familiarize yourself with the implementation procedure, you can launch an Amazon EC2 Linux instance and then use Application Migration Service to trigger the data replication , launch a test instance and then a cutover instance . Use an older OS version to perform a patch or upgrade with Amazon Web Services Systems Manager.
• Former2 provides a CLI that allows direct use from the command line. Consult the Former2 GitHub project to download Former2 and learn how to use the generate command, and to build a Docker image which we will upload to Amazon Elastic Container Registry (Amazon ECR) .
• For large-scale migration scenarios, we recommend the use of the Cloud Migration Factory on Amazon Web Services Solution . Consult the implementation guide for solution components and installation steps. Our implementation procedure is applicable to migration waves executed with the solution. With the latter, the launch of cutover instances and the activation of post-launch scripts occur programmatically.
• Customers using Amazon Web Services Systems Manager Automation only pay for what they use. Consumption is calculated based on the number and duration of steps. No additional charges incur for patching Linux and Windows EC2 instances using Amazon Web Services Systems Manager Patch Manager as well as for using Amazon Web Services Systems Manager Inventory . Consult the Amazon Web Services website for details on Systems Manager pricing .

Important note

Since Former2 is an open-source utility, we recommend a thorough review of its output prior to importing it into CloudFormation.

Solution overview

We assume the use case of a rehost migration factory, executing server migrations using Application Migration Service for batches of servers also called migration waves. The solution is equally applicable if you are using the Cloud Migration Factory on Amazon Web Services Solution or another orchestrator to manage Application Migration Service jobs.

Identify resources outside of CloudFormation management

In the case of a rehost migration factory with multiple migration waves, we can build an event-driven workflow to add cutover instances into IaC. This can be achieved using an Amazon EventBridge rule listening on cutover events. The cutover events store data about the instance ID and the associated Application Migration Service job ID. We can deliver them to an Amazon Simple Storage Service (Amazon S3) bucket using Amazon Kinesis Data Firehose (see the following figure 1).

Figure 1. Add existing Amazon Web Services resources to infrastructure code

Import resources into CloudFormation management

We use Amazon S3 event notifications to invoke Amazon Web Services Lambda each time a new object is put to Amazon S3. Lambda fetches the server ID from Amazon S3 and starts Former2, which we run as a task in Amazon Web Services Fargate . Former2 generates the infrastructure code and puts it to a designated S3 bucket. Then, you can review and import your resource into a CloudFormation stack using the Amazon Web Services CLI or Amazon Web Services Management Console, without having to recreate the environment.

Enable post-launch actions

You can enable post-launch actions at any time for all cutover instances. This will ensure every instance has an installed Systems Manager Agent and reports itself into the Amazon Web Services Systems Manager Inventory. Once instances are added to the Systems Manager Inventory, you can apply in-place operating system (OS) patches using the Systems Manager Patch Manager and automate administrative tasks using Systems Manager Run Command . Systems Manager Automation runbooks can perform an automated upgrade by launching a new instance and upgrading them in-place, resulting in a new Amazon Machine Image (AMI) . This allows to test the new AMI while serving user traffic, and then switching traffic to the new instance. The following figure visualizes the workflow.

Figure 2. Enabling automated upgrades for cutover instances

Implementation procedures

Step 1. Identify the relevant events

Application Migration Service creates transient Amazon Elastic Compute Cloud (Amazon EC2) resources prior to the cutover event. Therefore, it’s important to only fetch the cutover instances. Do this by setting up the EventBridge rule to listen on FinalizeCutover API calls and the “CUTOVER” Lifecycle state , as follows.

{
  "source": ["aws.mgn"],
  "detail": {
    "eventName": ["FinalizeCutover"],
    "responseElements": {
      "lifeCycle": {
        "state": ["CUTOVER"]
      }
    }
  }
}

Step 2. Create destination for Amazon S3 event notifications

Amazon S3 event notifications initiate our Lambda function, which fetches the associated server ID by reading the value from the Amazon Web ServicesApplicationMigrationServiceSourceServerID tag (created by Application Migration Service) and formulating the generate call for our Former2 Docker image. We implement this logic using Python, as follows. The associated Lambda resource needs Amazon S3 read access to parse cutover events as well as ecs:RunTask permission to invoke Former2.

import json
import boto3

def lambda_handler(event, context):
    # Read S3 Event and identify event file
    s3 = boto3.resource('s3')

    bucket = event['Records'][0]['s3']['bucket']['name']
    key = event['Records'][0]['s3']['object']['key']
    
    content_object = s3.Object(bucket, key)
    
    data = json.load(content_object.get()['Body'])
    
    sourceServerID = data['detail']['responseElements']['sourceServerID']
    
    print(sourceServerID)
    run_former2(sourceServerID)

def run_former2(sourceServerID):
    # Run Former2 CLI using the source Server ID tag as filter
    client = boto3.client('ecs')

    override = {

        "containerOverrides": 
            [ 
                {
                    'name': 'former-poc',
                    'command': ['--cfn-deletion-policy','Retain','--services', 'EC2', '--search-filter', sourceServerID] 
                }
            ] 
    }
    
    response = client.run_task(
    cluster='former', # name of the cluster
    launchType = 'FARGATE',
    taskDefinition='task-former-poc:8', # replace with your task definition name and revision
    count = 1,
    platformVersion='LATEST',
    networkConfiguration={
        'awsvpcConfiguration': {
            'subnets': [
                'subnet-0272da36749d3cbc1'
            ],
            'assignPublicIp': 'ENABLED'
        }
    },
    overrides=override
    )
    return str(response)

Step 3. Set up Former2

Former2 provides a CLI that allows direct use from the command line. It’s available as a Docker image that can be uploaded directly to Amazon Elastic Container Registry (Amazon ECR) . Follow the steps in the Amazon ECR user guide to push the Former2 CLI Docker image to Amazon ECR. Then, you can proceed with Former2 task definition in Fargate which requires no port mapping or mountpoints. Remember to create an IAM role for the task with Amazon Web Services read-only access as well as permission to put to Amazon S3.

Step 4. CloudFormation import

The CloudFormation user guide describes the import steps. Each resource must have a DeletionPolicy attribute, if you want to import into an existing CloudFormation stack. Former2 adds this automatically.

For any ancillary resources such as Elastic Load Balancing that build up your application stack, you can use the describe_stack_resources Amazon Web Services Command Line Interface (Amazon Web Services CLI) command and pass the resource ID to confirm whether these belong to an existing CloudFormation stack .

We recommend keeping stacks small to reduce blast radius and de-risk follow-on changes. Resources managed by different teams and with different frequency of changes should be separated into different stacks. If your application servers are managed by one team, while database servers are managed by another, we recommend splitting the layers into separate stacks.

Step 5. Enable Application Migration Service post-launch actions

Activate post-launch actions in Amazon Web Services Application Migration Service at any time for all cutover instances, by navigating to Settings and editing the Post-launch actions template. Consult the user guide for more information. The will also create the associated Amazon Web Services Identity and Access Management (IAM) role for Amazon Web Services Systems Manager to interact with instances.

Cleaning up

Remember to delete example resources if you no longer need them to avoid incurring future costs. This includes:

• Delete or disable the EventBridge rule
• Clean up the Kinesis Data Firehose delivery stream on the Amazon Web Services Management Console. Go to Amazon Kinesis, then Delivery streams, select the delivery stream you want to delete, and click on Delete.
• Delete the S3 buckets with cutover events and infrastructure code
• Delete the Lambda function triggering Former2, by logging in to the Amazon Web Services Management Console. Go to the Functions section in Amazon Web Services Lambda, select the function, click on Actions and select Delete.
• Deregister the Former2 Fargate task definition
• Terminate any Amazon EC2 instances (including cutover instances) used to test this solution
• Delete any Application Migration Service jobs used to test the presented solution

You can view your costs and usage using the Amazon Web Services Cost Explorer user interface.

Conclusion

In this post, we simplified the import of your migrated Amazon EC2 instances into infrastructure code using Former2. We showed how you can set up an event-driven workflow and continuously import cutover instances into CloudFormation. This keeps the number of resources outside the IaC state to a minimum. The presented solution can be adapted to different use cases including rapid prototyping and experimentation with new Amazon Web Services resources in sandbox environments. You can also initiate Former2 from the command line and control which Amazon Web Services resources are included in the stack.

Want to learn more?

• Bringing existing resources into CloudFormation management
• Accelerate infrastructure as code development with open source Former2

About the authors: