Fix federatorai patch and clean up overlay
Arvind Iyengar
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908d7b5824
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4b6b9ab581
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# <img src="https://raw.githubusercontent.com/prophetstor-ai/public/master/images/logo.png" width=60/> Federator.ai Operator
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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.
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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.
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**Multi-layer workload prediction**
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Using machine learning and math-based algorithms, Federator.ai predicts containerized application and cluster node resource usage as the basis for resource recommendations at application level as well as at cluster node level. Federator.ai supports prediction for both physical/virtual CPUs and memories.
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**Auto-scaling via resource recommendation**
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Federator.ai utilizes the predicted resource usage to recommend the right number and size of pods for applications. Integrated with Datadog's WPA, applications are automatically scaled to meet the predicted resource usage.
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**Application-aware recommendation execution**
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Optimizing the resource usage and performance goals, Federator.ai uses application specific metrics for workload prediction and pod capacity estimation to auto-scale the right number of pods for best performance without overprovisioning.
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**Multi-cloud Cost Analysis**
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With resource usage prediction, Federator.ai analyzes potential cost of a cluster on different public cloud providers. It also recommend appropriate cluster nodes and instance types based on resource usage.
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**Custom Datadog/Sysdig Dashboards**
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Predefined custom Datadog/Sysdig Dashboards for workload prediction/recommendation visualization for cluster nodes and applications.
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**Additional resources**
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Want more product information? Explore detailed information about using this product and where to find additional help.
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* [Federator.ai Datasheet](https://www.prophetstor.com/wp-content/uploads/2021/02/Federator.ai%C2%AE_202102ver.pdf)
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* [Quick Start Guide](https://www.prophetstor.com/wp-content/uploads/2021/04/ProphetStor-Federator.ai-v4.5.1-Quick-Installation-Guide.pdf)
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* [Federator.ai User Guide](https://www.prophetstor.com/wp-content/uploads/2021/04/Federator.ai-4.5.1-User-Guide.pdf)
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* [Company Information](https://www.prophetstor.com/)
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questions:
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#image configurations
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- variable: defaultImage
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default: true
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description: "Use default Federator.ai image or specify a custom one"
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label: Use Default Federator.ai Image
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type: boolean
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show_subquestion_if: false
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group: "Container Images"
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subquestions:
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- variable: image.repository
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default: "quay.io/prophetstor/federatorai-operator-ubi"
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description: "Federator.ai Operator image name"
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type: string
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group: "Container Images"
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label: Federator.ai Operator Image Name
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- variable: image.tag
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default: "v4.5.1-ga"
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description: "Federator.ai Operator image tag"
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type: string
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group: "Container Images"
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label: Federator.ai Operator Image Tag
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#service configurations
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- variable: federatorai.imageLocation
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default: "quay.io/prophetstor"
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description: "Service containers image location"
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type: string
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required: true
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group: "Container Images"
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label: Federator.ai imageLocation
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- variable: federatorai.version
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default: "v4.5.1-ga"
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description: "Service containers version"
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type: string
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required: true
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group: "Container Images"
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label: Service Containers Image Tag
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- variable: services.dashboardFrontend.nodePort
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required: true
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default: "31012"
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description: "The port where the Federator.ai Dashboard listens to"
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type: string
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group: "Service Settings"
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label: Federator.ai Dashboard Port
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- variable: services.rest.nodePort
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required: true
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default: "31011"
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description: "The port where the Federator.ai REST listens to"
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type: string
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group: "Service Settings"
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label: Federator.ai REST Port
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- variable: federatorai.persistence.enabled
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default: true
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description: "Enable persistent volume for Federator.ai"
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type: boolean
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required: true
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label: Federator.ai Persistent Volume Enabled
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show_subquestion_if: true
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group: "PV Settings"
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subquestions:
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- variable: federatorai.persistence.storageClass
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default: ""
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description: "If undefined or set to null, using the default storageClass. Defaults to null."
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type: storageclass
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group: "PV Settings"
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label: Storage Class for Federator.ai
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- variable: federatorai.persistence.storages.logStorage.size
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default: "2Gi"
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description: "Log volume size"
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type: string
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group: "PV Settings"
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label: Log Volume Size
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- variable: federatorai.persistence.aiCore.dataStorage.size
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default: "10Gi"
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description: "AICore data volume Size"
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type: string
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group: "PV Settings"
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label: AICore Data Volume Size
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- variable: federatorai.persistence.influxdb.dataStorage.size
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default: "100Gi"
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description: "Influxdb data volume Size"
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type: string
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group: "PV Settings"
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label: Influxdb Data Volume Size
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- variable: federatorai.persistence.fedemeterInfluxdb.dataStorage.size
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default: "10Gi"
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description: "Fedemeter influxdb data volume Size"
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type: string
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group: "PV Settings"
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label: Fedemeter Influxdb Data Volume Size
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@ -1,6 +1,5 @@
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diff -x '*.tgz' -x '*.lock' -uNr packages/federatorai/charts-original/Chart.yaml packages/federatorai/charts/Chart.yaml
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--- packages/federatorai/charts-original/Chart.yaml
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+++ packages/federatorai/charts/Chart.yaml
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--- charts-original/Chart.yaml
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+++ charts/Chart.yaml
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@@ -1,5 +1,9 @@
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apiVersion: v1
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appVersion: 4.5.1-ga
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