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Fix federatorai after changes done upstream

pull/195/head
root 2021-10-11 09:51:58 -06:00
parent 021d94c684
commit 2951f8e89a
3 changed files with 3 additions and 4 deletions
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assets/federatorai/federatorai-4.7.0.tgz
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charts/federatorai/federatorai/4.7.0/README.md
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# <img src="https://raw.githubusercontent.com/prophetstor-ai/public/master/images/logo.png" width=60/> Federator.ai Operator # <img src="https://raw.githubusercontent.com/prophetstor-ai/public/master/images/logo.png" width=60/> Federator.ai Operator
Federator.ai helps enterprises optimize cloud resources, maximize application performance, and save significant cost without excessive over-provisioning or under-provisioning of resources, meeting the service-level requirements of their applications. Federator.ai helps enterprises optimize cloud resources, maximize application performance, and save significant cost without excessive over-provisioning or under-provisioning of resources, meeting the service-level requirements of their applications.
Enterprises often lack understanding of the resources needed to support their applications. This leads to either excessive over-provisioning or under-provisioning of resources (CPU, memory, storage). Using machine learning, Federator.ai determines the optimal cloud resources needed to support any workload on OpenShift and helps users find the best-cost instances from cloud providers for their applications. Enterprises often lack understanding of the resources needed to support their applications. This leads to either excessive over-provisioning or under-provisioning of resources (CPU, memory, storage). Using machine learning, Federator.ai determines the optimal cloud resources needed to support any workload on Kubernetes and helps users find the best-cost instances from cloud providers for their applications.
**Multi-layer workload prediction** **Multi-layer workload prediction**
@ -41,8 +41,7 @@ Want more product information? Explore detailed information about using this pro
* [Company Information](https://www.prophetstor.com/) * [Company Information](https://www.prophetstor.com/)
## Prerequisites ## Prerequisites
- The [Kubernetes](https://kubernetes.io/) version 1.16 or later if using Kubernetes environment. - The [Kubernetes](https://kubernetes.io/) version 1.16 or later.
- The [Openshift](https://www.openshift.com) version 4.x.x or later if using OpenShift platform.
- The [Helm](https://helm.sh/) version is 3.x.x or later. - The [Helm](https://helm.sh/) version is 3.x.x or later.
## Add Helm chart repository ## Add Helm chart repository

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charts/federatorai/federatorai/4.7.0/app-readme.md
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# <img src="https://raw.githubusercontent.com/prophetstor-ai/public/master/images/logo.png" width=60/> Federator.ai Operator # <img src="https://raw.githubusercontent.com/prophetstor-ai/public/master/images/logo.png" width=60/> Federator.ai Operator
Federator.ai helps enterprises optimize cloud resources, maximize application performance, and save significant cost without excessive over-provisioning or under-provisioning of resources, meeting the service-level requirements of their applications. Federator.ai helps enterprises optimize cloud resources, maximize application performance, and save significant cost without excessive over-provisioning or under-provisioning of resources, meeting the service-level requirements of their applications.
Enterprises often lack understanding of the resources needed to support their applications. This leads to either excessive over-provisioning or under-provisioning of resources (CPU, memory, storage). Using machine learning, Federator.ai determines the optimal cloud resources needed to support any workload on OpenShift and helps users find the best-cost instances from cloud providers for their applications. Enterprises often lack understanding of the resources needed to support their applications. This leads to either excessive over-provisioning or under-provisioning of resources (CPU, memory, storage). Using machine learning, Federator.ai determines the optimal cloud resources needed to support any workload on Kubernetes and helps users find the best-cost instances from cloud providers for their applications.
**Multi-layer workload prediction** **Multi-layer workload prediction**