logseq/pages/hls__Cardoso Silva et al_2020_Benchmarking Machine Learning Solutions in Production.md

file:: [Cardoso Silva et al_2020_Benchmarking Machine Learning Solutions in Production.pdf](file://C:\Users\david\Zotero/storage/3MB7DRV3/Cardoso Silva et al_2020_Benchmarking Machine Learning Solutions in Production.pdf) file-path:: file://C:\Users\david\Zotero/storage/3MB7DRV3/Cardoso Silva et al_2020_Benchmarking Machine Learning Solutions in Production.pdf

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• As discussed before, there are already many tools available for monitoring the resources directly in the operating system, therefore it is not the point of our contribution to develop an alternative tool or library. ls-type:: annotation hl-page:: 4 hl-color:: green id:: 6447f639-13d5-4671-8054-61868703ec44
• we focus on showing how a machine learning solution can be instrumented for monitoring the resources described in the previous section, with little effort from the developer, so that meaningful information can be obtained to help with the operational aspects of the ML solution. ls-type:: annotation hl-page:: 4 hl-color:: green id:: 6447f644-2487-49d2-8084-4659640db981