Cloud Cost Management with ML-based Resource Predictions (Part I)
As enterprises go through digital transformation to improve efficiency, increase values and innovation, the adoption of cloud and Kubernetes has accelerated.
Read MoreAs enterprises go through digital transformation to improve efficiency, increase values and innovation, the adoption of cloud and Kubernetes has accelerated.
Read MoreMILPITAS, CA, February 11, 2022 — We are delighted to announce the onboarding of Evanston Technology Partners as a sales and technology partner. Evanston Technology Partner has provided security, business intelligence, and Cloud solutions for their customers. ProphetStor’s Federator.ai solution can add to the portfolio to further help our joint customers automate and optimize their digital
Read MoreMILPITAS, CA, January 27, 2022 — ProphetStor Data Services, Inc. today announced the general availability of Federator.ai 5.0, a major release that helps customers automate and optimize their application performance and cost in a MultiCloud environment. Federator.ai, ProphetStor’s Artificial Intelligence for IT Operations (AIOps) platform, understands the application KPIs, takes the operation metadata, performs workload dynamics
Read MoreHow to Configure An Application on Federator.ai for Autoscaling Kafka Consumer A quick description of how to achieve better performance and lower cost by auto-scaling Kafka consumers in Kubernetes environment, and a demo of how to configure an application on Federator.ai for Kafka consumer. #Federator.ai, #Kafka, #Kubernetes, #ProphetStor, #MachineLearning, #AI, #AIOps Start for FREE Tweet About
Read MoreProphetStor Federator.ai is an AI-based solution that helps enterprises manage and optimize resources for applications on Kubernetes.
Read MoreMILPITAS, CA, September 10, 2021 — ProphetStor Data Services, Inc. today announced the general availability of Federator.ai 4.7. Federator.ai, ProphetStor’s Artificial Intelligence for IT Operations (AIOps) platform, provides intelligence for orchestrating Kubernetes container resources on top of virtual machines (VM) or bare metal, allowing users to optimize infrastructure and application resources efficiently with automation. In addition, Federator.ai ML-based solution automatically identifies and
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