Usage Monitoring

In ConverSight’s ML Ops feature, Usage Monitoring simplifies the process for users, enabling them to conveniently observe and monitor the ongoing activities and real-time status of all clusters. With this tool, users can gain immediate insights into the operational performance of their clusters, aiding in swift decision-making and timely interventions when needed. Usage Monitoring fosters a transparent environment that supports users in understanding their cluster dynamics, facilitating efficient management and optimization.

To watch the video, click on Usage Monitoring.

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Accessing Usage Monitoring

• To access the Usage Monitoring feature in the ConverSight Platform, navigate to the configuration section and select Usage Monitoring under ML Ops.

Accessing Usage Monitoring

• Initially, Usage Monitoring page displays resource names, descriptions and total usage.

Usage Monitoring Page

• When you click the “+” symbol, the Usage Monitoring page unfolds in an orderly tabular design, furnishing in-depth insights into individual clusters.

Additional Information

Additional Information

Here is a comprehensive breakdown of the content present within the Usage Monitoring table.

Name	Specification
Resource	Displays a comprehensive list of currently operational clusters, along with their respective levels of accessibility.
Description	Provides a better understanding.
Total Usage	Displays the total usage of the resource in minutes providing insights into its performance.
Node	Nodes are associated with compute resources like CPU, memory and storage capacity. A node is a single system responsible for storing and processing data.
Status	The status column shows the current state of the cluster, such as running, completed or failed.

In ML Ops, ConverSight’s Usage Monitoring simplifies cluster oversight. It offers real-time insights, aiding quick decisions and efficient management for optimal performance.