From the course: Leveraging Cloud-Based Machine Learning on AWS: Real-World Applications
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Governance - Amazon Web Services (AWS) Tutorial
From the course: Leveraging Cloud-Based Machine Learning on AWS: Real-World Applications
Governance
- [Instructor] So, cloud governance is the ability to put guardrails around resources. Either coarse-grain resources, such as CPUs and storage, or fine-grain resources, such as APIs and services. So, cloud governance provides us the ability to monitor and put policies around use of things that exist within the cloud, so keep that in mind. And everything that can be accessed by a human being should be able to be governed. So, we have the ability to deal with service governance and resource governance, as well as link security with governance and the ability to put compliance policies around utilization resources, which is tremendously important when you're dealing with machine learning systems, because in some instances the data we're storing, even the training data, may have some compliance rules and regulations that are applied to it. And the ability to deal with governance tools to monitor and manage and put policies…
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