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You're reading from  Machine Learning Engineering on AWS

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Published inOct 2022
PublisherPackt
ISBN-139781803247595
Edition1st Edition
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Joshua Arvin Lat
Joshua Arvin Lat
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Joshua Arvin Lat

Joshua Arvin Lat is the Chief Technology Officer (CTO) of NuWorks Interactive Labs, Inc. He previously served as the CTO for three Australian-owned companies and as director of software development and engineering for multiple e-commerce start-ups in the past. Years ago, he and his team won first place in a global cybersecurity competition with their published research paper. He is also an AWS Machine Learning Hero and has shared his knowledge at several international conferences, discussing practical strategies on machine learning, engineering, security, and management.
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Cleaning up

Now that we have completed working on the hands-on solutions of this chapter, it is time we clean up and turn off the resources we will no longer use. In the next set of steps, we will locate and turn off any remaining running instances in SageMaker Studio:

  1. Make sure to check and delete all running inference endpoints under SageMaker resources (if any). To check whether there are running inference endpoints, click on the SageMaker resources icon and then select Endpoints from the list of options in the drop-down menu.
  2. Open the File menu and select Shut down from the list of available options. This should turn off all running instances inside SageMaker Studio.

It is important to note that this cleanup operation needs to be performed after using SageMaker Studio. These resources are not turned off automatically by SageMaker even during periods of inactivity. Make sure to review whether all delete operations have succeeded before proceeding to the next section...

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You have been reading a chapter from
Machine Learning Engineering on AWS
Published in: Oct 2022Publisher: PacktISBN-13: 9781803247595

Author (1)

author image
Joshua Arvin Lat

Joshua Arvin Lat is the Chief Technology Officer (CTO) of NuWorks Interactive Labs, Inc. He previously served as the CTO for three Australian-owned companies and as director of software development and engineering for multiple e-commerce start-ups in the past. Years ago, he and his team won first place in a global cybersecurity competition with their published research paper. He is also an AWS Machine Learning Hero and has shared his knowledge at several international conferences, discussing practical strategies on machine learning, engineering, security, and management.
Read more about Joshua Arvin Lat