Tag: MachineLearning

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Cloud Cost Management with ML-based Resource Predictions (Part II)

As outlined in the Guidance Framework introduced in part one of this post, once users gain visibility of spending metrics, they must see opportunities to reduce monthly bills.

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Cloud Cost Management with ML-based Resource Predictions (Part I)

As enterprises go through digital transformation to improve efficiency, increase values and innovation, the adoption of cloud and Kubernetes has accelerated.

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Video | ProphetStor Federator.ai Feature Demo

ProphetStor Federator.ai Feature Demo ProphetStor Federator.ai is an AI-based solution that helps enterprises manage, optimize, and auto-scale resources for the applications on Kubernetes. Using advanced machine learning algorithms to predict application workloads, Federator.ai scales the appropriate amount of resources at the right time for optimizing application performance and achieving cost savings. #Federator.ai, #Multicloud, #Machinelearning, #Kubernetes, #ProphetStor,

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ProphetStor Honors Sales and Technology Partner Evanston Technology Partners and Its CEO Emmanuel Jackson in Celebrating Black History Month

MILPITAS, CA, February 11, 2022 — We are delighted to announce the onboarding of Evanston Technology Partners as a sales and technology partner. Evanston Technology Partner has provided security, business intelligence, and Cloud solutions for their customers. ProphetStor’s Federator.ai solution can add to the portfolio to further help our joint customers automate and optimize their digital

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ProphetStor Releases Federator.ai 5.0 for Planning, Automation, and Optimization of The Next Phase Full-Scale Business-Focused Cloud Operations

MILPITAS, CA, January 27, 2022 — ProphetStor Data Services, Inc. today announced the general availability of Federator.ai 5.0, a major release that helps customers automate and optimize their application performance and cost in a MultiCloud environment. Federator.ai, ProphetStor’s Artificial Intelligence for IT Operations (AIOps) platform, understands the application KPIs, takes the operation metadata, performs workload dynamics

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How to Configure An Application on Federator.ai for Autoscaling Kafka Consumer

How to Configure An Application on Federator.ai for Autoscaling Kafka Consumer A quick description of how to achieve better performance and lower cost by auto-scaling Kafka consumers in Kubernetes environment, and a demo of how to configure an application on Federator.ai for Kafka consumer. #Federator.ai, #Kafka, #Kubernetes, #ProphetStor, #MachineLearning, #AI, #AIOps Start for FREE Tweet About

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Federator.ai GPU Booster ®

Maximizing GPU utilization for AI workloads and doubling your server’s training capacity

Federator.ai ®

Simplifying complexity and continuously optimizing cloud costs and performance