Precise Developers11 Jan, 2023Web Development
We have a sizable Python codebase that contains numerous tools and other programs. Python is widely used to create Jupyter notebooks for a variety of purposes, some of which naturally involve machine learning. Numerous automation techniques come to mind, such as using boto to manage AWS resources, Lambda function code, or even Redshift?s UDF. All of these could be incredibly useful in helping manage and monitor our resources, but we need to be mindful of potential risks as well since giving too much autonomy to automated processes can result in less visibility and control over what?s happening behind the scenes.
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