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Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.

Server Utilization Forecasting

By: Mphasis Latest Version: 2.1

Product Overview

Server Utilization Forecasting enables enterprises to optimize server allocation and utilization by generating 30 days of forward forecast of server usage. This helps enterprises to plan their server allocation strategy across the cloud and on premise scenarios using historical data. It uses ensemble ML algorithms with automatic model selection. This solution performs automated model selection to apply the right model based on the input data, thereby providing consistent and better results

Key Data

Version
By Mphasis
Categories
Type Model Package
Fulfillment Methods Amazon SageMaker

Usage Information

Fulfillment Methods Amazon SageMaker

End User License Agreement

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Support Information

Server Utilization Forecasting

For any assistance, please reach out at:

https://www2.mphasis.com/AWS-Marketplace-Support-LP.html

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