Tag: Application-aware

ProphetStor Joins Datadog Marketplace to Deliver AI-based Optimization and Automation for Cloud Native Applications

MILPITAS, CA, July 19, 2021 — ProphetStor Data Services, Inc. today announced the immediate availability of the company’s flagship AIOps solution Federator.ai through the Datadog Marketplace. Federator.ai is an AIOps platform that provides intelligence for orchestrating Kubernetes container resources on top of virtual machines (VM) or bare-metal servers, allowing users to operate applications without the need

A Smarter, Cost-efficient Way to Provision Cloud Workloads with ProphetStor Federator.ai

ProphetStor Federator.ai is an AI-based solution that helps enterprises manage and optimize resources for applications on Kubernetes.

ProphetStor Is Granted a Patent on Modeling Application Workloads to Automate the Management and to Predict the Anomalies of Storage Resources in MultiCloud Environments

MILPITAS, CA, August 31, 2020 — ProphetStor Data Services, Inc. was assigned the patent “METHOD AND SYSTEM FOR STORAGE TRAFFIC MODELING“ (Patent number US 9,906,424) by the United States Patent and Trademark Office. The patent is a foundation for software-defined data centers where the requirement of flexible adjustment of resources in meeting application demands can only

ProphetStor Brings Machine Learning Based Intelligent Kubernetes Orchestration to Datadog Customers

ProphetStor Data Services, Inc. today announced the general availability of Federator.ai 4.3 for Datadog. Federator.ai, ProphetStor’s Artificial Intelligence for IT Operations (AIOps) platform, provides intelligence for orchestrating Kubernetes container resources on top of virtual machines (VM) or bare metal, allowing users to operate applications without the need to manually manage the underlying computing resources.

ProphetStor Is Granted a Foundation Patent on Adapting Infrastructure Resource Deployments According to the Lifecycle of Application Workloads

ProphetStor Data Services, Inc. was assigned the patent “METHOD FOR DEPLOYING STORAGE SYSTEM RESOURCES WITH LEARNING OF WORKLOADS APPLIED THERETO“ (Patent number US 10,013,286) by the United States Patent and Trademark Office.

ProphetStor’s Patent on Meeting Applications Future Demands Is the Foundation for Viable AIOps and Machine Learning for System Operation

ProphetStor Data Services, Inc. was assigned the patent “METHOD FOR OPTIMIZING STORAGE CONFIGURATION FOR FUTURE DEMAND AND SYSTEM THEREOF“ (Patent number US 10,067,704) by the United States Patent and Trademark Office.

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ProphetStor and TOMORROW NET Forge Alliance to Boost AI Development and Deployment in Japan and Korea

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AI-Defined Data Center:
Federator.ai DataCenter OS for Optimal Efficiency, Sustainability, Automation, and Global Compute Platform Integration

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Federator.ai Stack optimizes the Time-to-Online
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