FAQs

Q: What happens to my AWS DeepLens resources after the end of life (EOL) date?

After January 31, 2024, all references to AWS DeepLens models, projects, and device information are deleted from the AWS DeepLens service. You can no longer discover or access the AWS DeepLens service from your AWS console and applications that call the AWS DeepLens API no longer work.

Q: Will I be billed for AWS DeepLens resources remaining in my account after the EOL date?

Resources created by AWS DeepLens, such as Amazon S3 buckets, AWS Lambda functions, AWS IoT things, and AWS Identity and Access Management (IAM) roles continue to exist on their respective services after January 31, 2024. To avoid being billed after AWS DeepLens is no longer supported, follow the steps in How do I delete my AWS DeepLens cloud resources? (see below)

Q: How do I delete my AWS DeepLens cloud resources?

Use the following procedures to delete all remaining AWS DeepLens cloud resources.

Delete AWS DeepLens S3 buckets

1. Sign in to the AWS Management Console and open the Amazon S3 console at https://console.aws.amazon.com/s3/.
   
2. In the Buckets list search bar, enter deeplens-* to only show AWS DeepLens S3 buckets.
   
3. Select the option next to the name of the bucket that you want to delete, and then choose Delete at the top of the page.

Note: If the bucket contains any objects, empty the bucket before deleting it by selecting the empty bucket configuration link in the This bucket is not empty error alert and following the instructions on the Empty bucket page. Then return to the Delete bucket page and delete the bucket.

Delete AWS DeepLens IoT resources

1.  Sign in to the AWS Management Console and open the AWS IoT console at https://console.aws.amazon.com/iot/.
   
2. To delete AWS IoT things:
   
   1. In the navigation pane, choose Manage.
      
   2.  From All Devices, select Things.
      
   3. In the Things list search bar, enter deeplens to only show AWS DeepLens Things.
      
   4. Select the checkboxes of all AWS IoT things you want to delete, and then choose Delete at the top of the page.
3. To delete AWS IoT Greengrass resources:.
   1. Sign in to the AWS Management Console and open the AWS IoT console at https://console.aws.amazon.com/iot/
   2. In the navigation pane, choose Manage.
   3.  From Greengrass devices, select Groups (V1).
   4.  In the Greengrass groups list search bar, enter deeplens to only show AWS DeepLens groups.
   5. Select the check boxes next to the AWS IoT Greengrass groups that you want to delete, and then choose Delete at the top of the page.

Delete AWS DeepLens Lambda functions

1. Sign in to the AWS Management Console and open the IAM console at https://console.aws.amazon.com/lambda/
2. In the navigation pane, choose Functions.
3. In the Functions list search bar, enter deeplens to only show AWS DeepLens Lambda functions.
4. Select the check boxes next to the Lambda functions that you want to delete, and then choose Delete at the top of the page.

Delete AWS DeepLens IAM roles

1. Sign in to the AWS Management Console and open the IAM console at https://console.aws.amazon.com/iam/
2. In the navigation pane, choose Roles.
3. In the Roles list search bar, enter deeplens to show a filtered list of AWS DeepLens roles.
4. Select the checkboxes next to the role names that you want to delete, and then choose Delete at the top of the page.

 

Q: Will my AWS DeepLens device continue to receive security updates?

AWS DeepLens is not updated after January 31, 2024. While some applications deployed on AWS DeepLens devices might continue to run after the EOL date, AWS does not provide remedies related to and is not responsible for any issue arising from AWS DeepLens software or hardware.

Q: How can I continue to get hands-on experience with AWS AI/ML?

We suggest you try our other hands-on machine learning tools. With AWS DeepRacer, use a cloud-based 3D racing simulator to create reinforcement learning models for an autonomous 1/18th scale race car. Learn and experiment in a no-setup, free development environment with Amazon SageMaker Studio Lab. Automate your image and video analysis with Amazon Rekognition, or use AWS Panorama to improve your operations with computer vision at the edge.

Q: What should I do with my AWS DeepLens device?

We encourage you to recycle your AWS DeepLens device through the Amazon Recycling Program. Amazon covers the costs associated with shipping and recycling.