Federator.ai Feature Demo
ProphetStor Federator.ai is an AI-based solution that helps enterprises manage, optimize, and auto-scale resources for the applications on Kubernetes. Using advanced machine learning algorithms to predict application workloads, Federator.ai scales the appropriate amount of resources at the right time for optimizing application performance and achieving cost savings.
Federator.ai Optimizes Kubernetes for Cost and Performance
ProphetStor’s Federator.ai uses predictive analytics to analyze the dynamic workloads of Kubernetes applications and optimizes resource usage and performance in private, public, hybrid or multicloud environments.
Win-Win Sales Strategy for An MSP and Its End-Users
With the help of ProphetStor’s MSP Operation Recommender, an MSP not only can formulate its convincing sales strategy for Reserved Instances to achieve its revenue growth and cost optimization for its end-user but can also offer value-added consulting services to get upsell opportunities and gain customer loyalty. Eventually, a win-win scenario proposed by Federator.ai benefits both sides.
Federator.ai and Sysdig Integration
By integrating operation metrics collected by Sysdig, Federator.ai, an ML-based platform, provides accurate predictions and just-in-time recommendations for resource allocation and autoscaling, and eliminates complexity and uncertainty that impact IT operations.
Federator.ai and Datadog Integration
With integration to Datadog, ProphetStor’s Federator.ai provides workload predictions and right-sized resource recommendations for Kubernetes clusters and containerized applications, all in a single-pane-of-glass management console using Datadog dashboards.
See How ProphetStor Helps Orange France
An Interview with Frédéric Klein, Manager of ‘XaaS’ Cloud Department at Orange, to see how Federator.ai helped Orange France achieve cost-efficiency, less complexity, performance enhancement, and Green IT via data-driven intelligence.
Federator.ai Feature Demo
ProphetStor Federator.ai is an AI-based solution that helps enterprises manage, optimize, and auto-scale resources for the applications on Kubernetes. Using advanced machine learning algorithms to predict application workloads, Federator.ai scales the appropriate amount of resources at the right time for optimizing application performance and achieving cost savings.
Federator.ai Optimizes Kubernetes for Cost and Performance
ProphetStor’s Federator.ai uses predictive analytics to analyze the dynamic workloads of Kubernetes applications and optimizes resource usage and performance in private, public, hybrid or multicloud environments.
Win-Win Sales Strategy for An MSP and Its End-Users
With the help of ProphetStor’s MSP Operation Recommender, an MSP not only can formulate its convincing sales strategy for Reserved Instances to achieve its revenue growth and cost optimization for its end-user but can also offer value-added consulting services to get upsell opportunities and gain customer loyalty. Eventually, a win-win scenario proposed by Federator.ai benefits both sides.
Federator.ai and Sysdig Integration
By integrating operation metrics collected by Sysdig, Federator.ai, an ML-based platform, provides accurate predictions and just-in-time recommendations for resource allocation and autoscaling, and eliminates complexity and uncertainty that impact IT operations.
Federator.ai and Datadog Integration
With integration to Datadog, ProphetStor’s Federator.ai provides workload predictions and right-sized resource recommendations for Kubernetes clusters and containerized applications, all in a single-pane-of-glass management console using Datadog dashboards.
See How ProphetStor Helps Orange France
The Interview with Frédéric Klein, Manager of ‘XaaS’ Cloud Department, at Orange.