Industry-Leading Chunghwa Telecom Adopts Federator.ai for Green IT and Intelligent Continuous Cloud Operations
Maximize GPU Efficiency in MultiTenant LLM Training: Federator.ai GPU Booster on High-End GPU Servers Cuts Job Times by 50% and Doubles GPU Utilization
How to Configure An Application on Federator.ai for Autoscaling Kafka Consumer
ProphetStor Data Services, Inc. was assigned the patent “METHOD FOR DEPLOYING STORAGE SYSTEM RESOURCES WITH LEARNING OF WORKLOADS APPLIED THERETO“ (Patent number US 10,013,286) by the United States Patent and Trademark Office.
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ProphetStor Data Services, Inc. was assigned the patent “METHOD FOR OPTIMIZING STORAGE CONFIGURATION FOR FUTURE DEMAND AND SYSTEM THEREOF“ (Patent number US 10,067,704) by the United States Patent and Trademark Office.
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ProphetStor Data Services, Inc. was assigned the patent “WORKLOAD-AWARE I/O SCHEDULER IN SOFTWARE-DEFINED HYBRID STORAGE SYSTEM“ (Patent number US 9,575,664) by the United States Patent and Trademark Office.
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ProphetStor Data Services, Inc. today announced that Orange S.A. in France (abbrev. Orange) has deployed Federator.ai for managing resources, optimizing costs and application performance on its Kubernetes-based multicloud infrastructure.
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With Datadog, our enterprise customers are now able to monitor their application workloads and get visibility into Kubernetes clusters of any scale.The new integration between Federator.ai and Datadog has made it easier to deploy our service, collect and monitor any metrics (e.g. CPU and memory utilization, application latency etc) for applications running on Kubernetes. Similar to our
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Introduction A Kafka Stream Application reads from a topic, Software-Defined Storage performs some calculations, transformations to finally write the result back to another topic. To read from a topic, it creates a consumer. Kafka has become a standard tool to manage a highly loaded streaming system. However, it does not provide mechanisms for dynamic cluster
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