​
More Info:

This rule checks if Amazon Elastic Container Service (ECS) task definitions have a set memory limit for its container definitions. The rule is NON_COMPLIANT for a task definition if the ‘memory’ parameter is absent for one container definition.

​
Risk Level

Low

​
Address

Configuration

​
Compliance Standards

CBP

​
Remediation

​
Using Console

To remediate the ECS Task Definitions having memory limit set in AWS Kubernetes using the AWS console, follow these steps:

  1. Access AWS Management Console: Go to the AWS Management Console (https://console.aws.amazon.com/).

  2. Navigate to Amazon EKS: Click on the “Services” dropdown menu at the top left corner of the AWS Management Console, then select “Elastic Kubernetes Service (EKS)” under the “Containers” category.

  3. Select your EKS Cluster: Click on the name of the EKS cluster where the ECS Task Definitions with memory limit set are located.

  4. Navigate to the EKS Cluster: In the EKS console, navigate to the “Workloads” section in the left-hand menu.

  5. Select the Deployment: Locate the deployment that corresponds to the ECS Task Definition with memory limit set, and click on it to view its details.

  6. Edit the Deployment: Click on the “Actions” dropdown menu and select “Edit”.

  7. Update the Memory Limit: In the deployment configuration, locate the section where the memory limit is set. Remove or adjust the memory limit as needed to remediate the misconfiguration.

  8. Save Changes: After updating the memory limit, scroll down to the bottom of the page and click on the “Save” button to apply the changes.

  9. Verify the Changes: Once the changes are saved, monitor the deployment to ensure that the memory limit has been successfully remediated.

By following these steps, you can remediate the ECS Task Definitions with memory limit set in AWS Kubernetes using the AWS console.

​
Using CLI

To remediate the ECS Task Definitions memory limit misconfiguration in AWS Kubernetes using AWS CLI, you can follow these steps:

  1. Identify the ECS Task Definition:

    • Use the AWS CLI command to list all ECS Task Definitions: 
      aws ecs list-task-definitions
    • Identify the Task Definition that has the memory limit set.

  2. Update the ECS Task Definition:

    • Use the describe-task-definition command to get the details of the Task Definition: 
      aws ecs describe-task-definition --task-definition <task-definition-arn>
    • Modify the Task Definition JSON file to remove the memory limit configuration.
    • Save the updated Task Definition JSON file.

  3. Register the Updated Task Definition:

    • Register the updated Task Definition using the register-task-definition command: 
      aws ecs register-task-definition --cli-input-json file://<path-to-updated-task-definition.json>

  4. Update the ECS Service:

    • Update the ECS Service to use the newly registered Task Definition: 
      aws ecs update-service --cluster <cluster-name> --service <service-name> --task-definition <updated-task-definition-family:revision>

  5. Verify the Changes:

    • Verify that the ECS Service has been updated successfully: 
      aws ecs describe-services --cluster <cluster-name> --services <service-name>

By following these steps, you can remediate the ECS Task Definitions memory limit misconfiguration in AWS Kubernetes using AWS CLI.

​
Using Python

To remediate the ECS Task Definitions memory limit misconfiguration in AWS Kubernetes using Python, you can follow these steps:

  1. Install the AWS SDK for Python (Boto3) if you haven’t already. You can install it using pip:

    pip install boto3

  2. Create a Python script to update the ECS Task Definition memory limit. Here is an example script:

import boto3

# Initialize the ECS client
ecs_client = boto3.client('ecs')

# Define the ECS cluster and task definition ARN
cluster = 'your_cluster_name'
task_definition_arn = 'your_task_definition_arn'

# Get the existing task definition
response = ecs_client.describe_task_definition(taskDefinition=task_definition_arn)
task_definition = response['taskDefinition']

# Update the memory limit in the task definition
task_definition['containerDefinitions'][0]['memory'] = 512  # Set the desired memory limit in MB

# Register the updated task definition
new_task_definition = ecs_client.register_task_definition(
    family=task_definition['family'],
    containerDefinitions=task_definition['containerDefinitions']
)

# Update the ECS service to use the new task definition
ecs_client.update_service(
    cluster=cluster,
    service='your_service_name',
    taskDefinition=new_task_definition['taskDefinition']['taskDefinitionArn']
)

print("ECS Task Definition memory limit updated successfully!")

  1. Replace 'your_cluster_name', 'your_task_definition_arn', and 'your_service_name' with your actual ECS cluster name, task definition ARN, and service name respectively.

  2. Run the Python script to update the memory limit in the ECS Task Definition. This script will update the memory limit and then update the ECS service to use the new task definition with the updated memory limit.

By following these steps, you can remediate the ECS Task Definitions memory limit misconfiguration in AWS Kubernetes using Python.