Federator.ai®: AIOps for OpenShift in MultiCloud

Over-provisioned computing resources and the deployment of the incorrect number and/or size of VMs are two common issues in multi-cloud environments. Federator.ai addresses these problems by orchestrating resources in multi-cloud environments. It applies machine learning to optimize operation for both Day-1 deployment and Day-2 operations.

In this video you’ll see the following demo as below:
  • Node and container performance prediction for OpenShift
  • Pod requests and limits recommendation for OpenShift
  • Replicas and OOM (out of memory) reduction by intelligent pod scaling 
         See our keynote presentation at Red Hat Summit 2019!
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Press Release

July 27, 2020

ProphetStor Adds to Its Executive Team with Industry Veteran

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July 20, 2020

ProphetStor’s Patent on AI-based Methods in Predicting the Life Span of Storage Systems Facilitates Proactive Management to Support SLAs and Reduce Operation Costs in Data and Cloud Centers

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July 9, 2020

Orange France Uses Federator.ai for Auto-scaling, Optimizing Resources and Application Performance on Its MultiCloud Infrastructure

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What the Industry Says

The most advanced AIOps for OpenShift!

Chris Wright, CTO of Red Hat

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ProphetStor has combined Federator.ai's machine learning capabilities with Datadog's full stack monitoring data to simplify management of Kubernetes at scale.

Ilan Rabinovitch, VP of Product and Community at Datadog

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Federator.ai's value propositions are quite compelling for any enterprise wanting to enhance efficiency and lower costs of their cloud operations (private, public, or hybrid).

Frédéric Klein, Manager of Cloud Department at Orange

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Federator.ai can be easily installed on our Kubernetes clusters at Orange. Using Federator.ai, we now have the predictability of our workloads and clear visibility of the resource requirements for each of our applications.

Willem Berroubache, Cloud and Security Engineer at Orange

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Intelligent storage analytics for hyperscale infrastructures
  • AI-driven analytics to predict and optimize workloads

  • Built for modern cloud native architectures

  • Wide support for storage and private clouds

  • Accelerate DevOps initiatives with rich, open APIs

What We Do


As the increase in digital services contributes to the complexity of storage, ProphetStor simplifies the management of storage to allow businesses to both scale up and scale out to satisfy data growth needs without sacrificing performance.


ProphetStor liberates the silo-ed and rigid storage architectures through an abstraction layer that enables heterogenous storage to work in unison, breaking the barriers to allow seamless management, access and migration.


Through our patented analytics engine, ProphetStor dynamically monitors IO patterns and storage health to deliver consistent performance and failure prediction analysis across digital services to guarantee unprecedented user experiences.


Giving businesses the insight into its environment, ProphetStor automatically discovers and consolidates storage based on its capabilities while providing integration points to automatically provision the right storage for the right workload.