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Practical Machine Learning with AWS: Process, Build, Deploy, and Productionize Your Models Using AWS
book

Practical Machine Learning with AWS: Process, Build, Deploy, and Productionize Your Models Using AWS

by Himanshu Singh
November 2020
Intermediate to advanced
243 pages
4h 37m
English
Apress
Content preview from Practical Machine Learning with AWS: Process, Build, Deploy, and Productionize Your Models Using AWS
© Himanshu Singh 2021
H. SinghPractical Machine Learning with AWS https://doi.org/10.1007/978-1-4842-6222-1_7

7. Using CloudWatch with SageMaker

Himanshu Singh1  
(1)
ALLAHABAD, Uttar Pradesh, India
 

In this chapter, we will explore CloudWatch functionality in AWS in detail. Specifically, we will look at two components of CloudWatch, CloudWatch Logs and CloudWatch Metrics, that we will use a lot while using SageMaker.

Amazon CloudWatch

Amazon CloudWatch is a service provided by Amazon that tracks the resource activities of AWS and provides metrics related to it. It also stores the logs that are provided by every resource used. Through these logs and metrics, a user can explore the performance of an AWS resource being used and what can be done to improve ...

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Publisher Resources

ISBN: 9781484262221Purchase LinkPublisher Website