Analyze FSx for ONTAP events in NetApp Workload Factory
Quickly identify and resolve FSx for ONTAP file system issues with the smart event analyzer in NetApp Workload Factory. The event analyzer automatically extracts and analyzes FSx for ONTAP Event Management System (EMS) and latency events, leveraging Agentic AI with Amazon Bedrock integration.
About this task
Storage administrators often respond to FSx for ONTAP events only after customer complaints, or by maintaining custom scripts and alarms. This reactive approach can reduce efficiency, delay issue resolution, and increase downtime.
The event analyzer automatically extracts the following event types from FSx for ONTAP file systems:
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EMS events: Error, alert, and emergency events from the ONTAP Event Management System. To view and analyze EMS events, you must connect to the file system using a link.
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Latency events: Read and write latency events. Latency events can be viewed without a link connection. To analyze latency events and receive AI-powered insights, you must connect to the file system using a link.
To view events, you must grant view, planning, and analysis permissions in your AWS account. Events are displayed for 72 hours before removal.
With Amazon Bedrock integration, Workload Factory uses AI to analyze events and provide actionable insights to maintain the health and performance of your FSx for ONTAP file systems.
Key benefits include:
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Advanced troubleshooting: AI automatically identifies, analyzes, and provides insights to fix FSx for ONTAP EMS and latency events, reducing manual investigation time.
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Best-practice remediation: The event analyzer gives clear, actionable steps to resolve FSx for ONTAP EMS and latency events.
When using the event analyzer, you have full control of your environment while benefiting from advanced AI analysis.
To allow Workload Factory to analyze events, you must activate Amazon Bedrock, select the model Workload Factory uses, create a private endpoint to connect to Amazon Bedrock, add permissions, and create an enterprise license.
Data privacy and security
Your data privacy and security are protected through:
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Data sovereignty: All data and aggregations stay within your AWS account and are communicated via private VPC endpoint (Amazon Bedrock), with no public internet exposure.
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No AI Training: Customer data is not used to train or improve models. Amazon Bedrock processes events in real time but does not train on your data. Results are stored only in your environment.
For more details, refer to the Amazon Bedrock data protection documentation.
Before you begin
View events
To view latency events, you must grant view, planning, and analysis permissions in your AWS account.
To view EMS events, you must also connect to the file system using a link.
Analyze events
To analyze EMS and latency events and receive AI-powered insights and recommendations, ensure the following:
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You have operations and remediation permissions in your AWS account.
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Port 22 (SSH) is open in the security group associated with your FSx for ONTAP file system.
Additional requirements (the system will prompt you during event analysis):
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Amazon Bedrock model
Configure Amazon Bedrock APIs for each AWS account. Amazon Bedrock APIs are used to provide insights for FSx for ONTAP events.
Recommended model:
anthropic.claude-sonnet-4-20250514-v1:0. Provide the Inference profile ARN for your selected region. -
Workload Factory link
Create and associate a link with an FSx for ONTAP file system to enable AI-powered events analysis. A link establishes a trust relationship between Workload Factory and one or more FSx for ONTAP file systems and leverages AWS Lambda.
Learn how to associate an existing link or to create and associate a new link. After the link associates, return to this operation.
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AWS IAM permissions
Add the following permissions to the Workload Factory IAM role associated policy.
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bedrock:InvokeModel -
bedrock:InvokeModelWithResponseStreamThese permissions allow Workload Factory to invoke Bedrock models for error investigation and remediation guidance. This profile also ensures secure AI access for tailored insights.
Also add the following permissions for AWS credentials associated with Workload Factory:
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bedrock:GetInferenceProfile -
bedrock:ListInferenceProfilesThese permissions verify model availability.
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View and analyze events for FSx for ONTAP
Use the Workload Factory console to view and analyze EMS and latency events for FSx for ONTAP file systems.
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Log in using one of the console experiences.
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Select the menu
and then select Storage. -
From the Storage menu, select Analysis.
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From the Analysis screen, select the AWS accounts, credentials, and regions that contain the FSx for ONTAP file systems you want to view.
Only FSx for ONTAP file systems that have events are shown.
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Select the FSx for ONTAP file system you want to view.
The events table shows all events for that file system.
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Review the event details in the table.
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To analyze events, do one of the following:
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To analyze multiple events, select the checkboxes next to the events, then select Analyze in the table.
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To analyze one event and view insights in the side panel, select the event name, and then select Analyze in the panel. The insights and recommendations are shown in the panel.
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To analyze one event from the table, select Analyze in the event row, then select the event name to view the insights and recommendations.
If needed, complete the AI analysis setup requirements by following the on-screen prompts to meet any missing prerequisites.
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