AWS
docs.aws.amazon.com › amazon sagemaker › developer guide › machine learning environments offered by amazon sagemaker ai › amazon sagemaker canvas › logging out of amazon sagemaker canvas
Logging out of Amazon SageMaker Canvas - Amazon SageMaker AI
You can also log out from the SageMaker Canvas application by closing your browser tab and then deleting the application in the console.
AWS
docs.aws.amazon.com › amazon sagemaker › developer guide › machine learning environments offered by amazon sagemaker ai › amazon sagemaker canvas › amazon sagemaker canvas setup and permissions management (for it administrators) › applications management
Applications management - Amazon SageMaker AI
The following sections describe how you can manage your SageMaker Canvas applications. You can view, delete, or relaunch your applications from the Domains section of the SageMaker AI console.
AWS
docs.aws.amazon.com › amazon sagemaker › developer guide › machine learning environments offered by amazon sagemaker ai › amazon sagemaker canvas › amazon sagemaker canvas setup and permissions management (for it administrators) › applications management › delete an application
Delete an application - Amazon SageMaker AI
Select the checkbox next to the Canvas application and choose Stop. You have now successfully stopped the application and terminated the workspace instance. You can also terminate the workspace instance by logging out from within the SageMaker Canvas application.
Reddit
reddit.com › r/aws › aws new service canvas in sagemaker is a money sucker! and i can’t turn it off!
r/aws on Reddit: Aws new service Canvas in sagemaker is a money sucker! And I can’t turn it off!
May 27, 2022 -
Aws new service Canvas in sagemaker is a money sucker! is charging me $2000 without me really using it. And their customer service closed right after you start the chat or the phone call. It is literally impossible to close things in canvas or sagemaker. I spent hours on this to figure it out
I’m literally pissed by this ridiculous aws service !
Top answer 1 of 5
12
You can definitely stop it, it’s just a bit hidden. I had the same issue. Open a support ticket, they’ll likely forgive the costs if they understand that you’re struggling to get it stopped
2 of 5
7
You should be leveraging IAC with controlled provisioning / demolition - you may not be ready for cloud responsibilities if your unable to control your deployment sprawl and lifecycles
AWS
docs.aws.amazon.com › amazon sagemaker › developer guide › machine learning environments offered by amazon sagemaker ai › amazon sagemaker canvas › custom models › how to manage automations › delete an automatic configuration
Delete an automatic configuration - Amazon SageMaker AI
To delete a configuration for automatic dataset updates or automatic batch predictions, do the following: In the left navigation pane of Canvas, choose ML Ops.
Amazon Web Services
docs.amazonaws.cn › 亚马逊云科技 › amazon sagemaker › developer guide › use machine learning environments offered by sagemaker › amazon sagemaker canvas › setting up and managing amazon sagemaker canvas (for it administrators) › manage apps
Manage apps - Amazon SageMaker
Under Apps, find the application that says Canvas in the App type column. In the Action column, choose Delete app. In the Delete app dialog box, select the Yes, delete app prompt, confirm the deletion by typing delete in the text field, and then choose Delete.
AWS
docs.aws.amazon.com › amazon sagemaker › developer guide › machine learning environments offered by amazon sagemaker ai › amazon sagemaker canvas › custom models › mlops › delete a model deployment
Delete a model deployment - Amazon SageMaker AI
Delete a model deployment and its associated endpoint through the SageMaker Canvas application.
AWS
docs.aws.amazon.com › amazon sagemaker › developer guide › machine learning environments offered by amazon sagemaker ai › amazon sagemaker studio › stop and delete your studio running applications and spaces
Stop and delete your Studio running applications and spaces - Amazon SageMaker AI
You can delete the Studio spaces that are viewable in the Spaces section of the console. For a list of the viewable spaces, see View your Studio spaces. There are no spaces for SageMaker Canvas, Studio Classic (private), and RStudio.
AWS
docs.aws.amazon.com › amazon sagemaker › developer guide › machine learning environments offered by amazon sagemaker ai › amazon sagemaker canvas › amazon sagemaker canvas setup and permissions management (for it administrators) › update sagemaker canvas for your users
Update SageMaker Canvas for Your Users - Amazon SageMaker AI
Sign in to the Amazon SageMaker AI console at Amazon SageMaker Runtime ... On the left navigation pane, choose Admin configurations. Under Admin configurations, choose domains. On the Domains page, choose your domain. From the list of User profiles, choose a user profile.
Reddit
reddit.com › r/aws › how to turn off sagemaker?
r/aws on Reddit: How to turn off SageMaker?
August 23, 2023 -
I did an experiment on Aug 17 in SageMaker and thought I turned off everything, but now I am being billed over $150/day!! I need step-by-step instructions to turn off (or delete) SageMaker. Please and thank you!!!
Top answer 1 of 7
7
Sorry to hear this has happened. This document will assist you with shutting down AWS SageMaker: https://go.aws/3YKSBrk When you shutdown the Studio notebook instances, any additional resources, such as SageMaker endpoints, Amazon EMR clusters, and Amazon S3 buckets created from Studio are not deleted. Delete those resources to stop accrual of charges. This document can assist you with finding and shutting any additional resources that may be running: https://go.aws/3YJXSiY - Brian D.
2 of 7
3
Reach out to AWS support. That's why they are there. They may even be able to reverse some of the charges.
Medium
dgallitelli95.medium.com › save-up-to-75-on-amazon-sagemaker-canvas-with-scheduled-shutdown-8387486a47a
Save up to 75% on Amazon SageMaker Canvas with scheduled shutdown | by Davide Gallitelli | Medium
July 11, 2023 - The Lambda function queries the SageMaker service for all the active domains, user profiles, and apps. It then loops through all the active apps and checks if they are a type of “Canvas” app. If they are, it checks if the app is currently running and deletes it if it is.
Top answer 1 of 3
1
I'm facing a bug made me can not delete inference endpoint and I'm still be charged.
the error says "Cannot delete endpoint with inference component associated. Please delete inference component and try it again.". I can not find any help.
Really tired.
2 of 3
0
This is painful. I resorted to delete by CLI
Open up CloudShell
3 useful commands to list resources
```
aws sagemaker list-user-profiles
aws sagemaerk list-apps
aws sagemaker list-domains
```
Delete in sequence: space, app, user and domain
```
$ aws sagemaker describe-domain --domain-id d-your-domain-id
$ aws sagemaker delete-app --domain-id d-yourdomain-id --app-type JupyterLab --app-name default --space-name jupyter-private
aws sagemaker delete-user-profile --user-profile-name your-user-name
aws sagemaker delete-domain --domain-id d-xxxxxxx
```
GitHub
github.com › aws-samples › sagemaker-canvas-auto-shutdown-on-idle
GitHub - aws-samples/sagemaker-canvas-auto-shutdown-on-idle
Shutdown all SageMaker Canvas apps, on all user profiles, on all SageMaker domains - download the file all-domain-all-users
Starred by 4 users
Forked by 2 users
AWS re:Post
repost.aws › questions › QUmSJa7T1nRm6PQkiXDxZJqA › closing-up-a-sagemaker-user-profile-intended-behavior
Closing up a Sagemaker user profile - intended behavior? | AWS re:Post
September 25, 2021 - The problem comes on the final step: I wasn't able to find a "Delete user" button. This feels like a bug, because without such a button the only way to stop charges on a Sagemaker user is to use the CLI, which I eventually did. You can only delete the domain if you have deleted all users, meaning ...
YouTube
youtube.com › shorts › r9Aze4KyCjs
Stop idle SageMaker Canvas charges! (Log out or automate that) #aws #machinelearning - YouTube
I don’t represent AWS. This is my personal channel.This video shows how you can log out in the Amazon SageMaker Canvas console and how you can find the autom...
Published September 28, 2023
AWS re:Post
repost.aws › questions › QU0LTBVP38RoSVvEmmmyc7xw › sagemaker-canvas-lifecycle-config
Sagemaker Canvas Lifecycle Config | AWS re:Post
December 30, 2021 - Hello, according to the service FAQ the approach to stop the session is by clicking on the Log Out button on the Canvas app ... Automation of Model Retraining and Inference in SageMaker Canvas vs.
AWS
aws.amazon.com › blogs › machine-learning › optimizing-costs-for-amazon-sagemaker-canvas-with-automatic-shutdown-of-idle-apps
Optimizing costs for Amazon SageMaker Canvas with automatic shutdown of idle apps | Artificial Intelligence
November 24, 2023 - The AWS Lambda function identifies which SageMaker Canvas app has been running in idle for more than the specified threshold, and deletes it with the DeleteApp API.
AWS re:Post
repost.aws › questions › QUx1sRxwJ7RaynhaSJ8b2LiA › sagemaker-canvas-idle-metric-not-working
Sagemaker Canvas Idle Metric Not Working | AWS re:Post
February 12, 2024 - - Effect: Allow Action: - 'logs:CreateLogGroup' - 'logs:CreateLogStream' - 'logs:PutLogEvents' - 'cloudwatch:GetMetricData' Resource: '*' - Effect: Allow Action: - 'sagemaker:DeleteApp'
Amazon Web Services
docs.amazonaws.cn › 亚马逊云科技 › amazon sagemaker › developer guide › use machine learning environments offered by sagemaker › amazon sagemaker canvas › setting up and managing amazon sagemaker canvas (for it administrators) › update sagemaker canvas for your users
Update SageMaker Canvas for Your Users - Amazon SageMaker
Sign in to the Amazon SageMaker console at Amazon SageMaker Runtime ... On the left navigation pane, choose Admin configurations. Under Admin configurations, choose domains. On the Domains page, choose your domain. From the list of User profiles, choose a user profile.