Tag: Application-aware

ProphetStor Brings Machine Learning Based Intelligent Kubernetes Orchestration to Datadog Customers

ProphetStor Data Services, Inc. today announced the general availability of Federator.ai 4.3 for Datadog. 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 operate applications without the need to manually manage the underlying computing resources.

ProphetStor Is Granted a Foundation Patent on Adapting Infrastructure Resource Deployments According to the Lifecycle of Application Workloads

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.

ProphetStor’s Patent on Meeting Applications Future Demands Is the Foundation for Viable AIOps and Machine Learning for System Operation

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.

ProphetStor’s Patent on AI-Powered Workload-Aware Framework Becomes the Foundation of AIOps for Optimization in MultiCloud and 5G

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.

Federator.ai – AI Solution for Auto-Scaling on Kubernetes with Datadog

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

Application-Aware Federator.ai for Kafka on Kubernetes Enhances Performance and Reduces Cost

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

Product

Innovative Technologies

IT Operations

Infrastructure Optimization

Integrations

Applications

Metric Data Sources

Video｜How Integration Works

Latest News

Highlight Article

How-to Video

Our Offices