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ProphetStor Federator.ai Solution

ProphetStor Federator.ai Solution

By: ProphetStor Data Services Inc Latest Version: 4.2
Linux/Unix
Linux/Unix

Product Overview

Federator.ai learns application resource usage patterns and predicts the needed resources down to the container level. Federator.ai has the following key features:

- Multi-layer workload prediction:
Federator.ai applies multiple analytics tools, such as machine learning and signal processing, to predict containerized application and node resource usage as the basis for pod resource recommendations. Federator.ai supports both physical and virtual CPUs and memories.
- Application-aware recommendation execution:
The application resource demand determines the number and size of pods. Federator.ai utilizes resource usage prediction based on workload patterns to recommend the right pod sizes.
- Policy-driven planning of CPU and memory:
Federator.ai plans cluster-wide CPU and memory allocation for different types of applications according to the policy specified by users.
- Enterprise-ready:
Federator.ai is designed to work with any OpenShift-operated environment. Federator.ai provides application lifecycle management based on the Operator Framework and works seamlessly with Red Hat OpenShift.
- Easy installation:
Installing Federator.ai is easy with one kubectl command or one click through the OpenShift web console. Users will get the first recommendation in one hour.
- Continuous recommendations for optimal resource planning:
Federator.ai continuously generates recommendations and learns better with more accumulated metrics data.

Version

4.2

Operating System

Linux

Delivery Methods

  • Container

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