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ONES Rule Engine Expands Monitoring for AI-Fabric

Source Decision Insights Coverage Published November 12, 2025 Companies 1
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6th article in the last 90 days, one of 16 articles referencing FLOW. Previous coverage: ONES 3.1 updates for NVIDIA Spectrum-X on Cumulus Linux (Nov 2025).

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The ONES Rule Engine has received an update that expands its functionality for monitoring various AI-Fabric metrics. This enhancement benefits IT managers by improving visibility into network performance through detailed monitoring and alerting features.

Expanded Capabilities

The recent update introduces capabilities for monitoring metrics such as queue counters, Power Factor Correction (PFC), traffic rates, and failure detection for links and nodes. This allows network administrators to proactively manage conditions that are critical for RoCE-based applications.

Anomaly Detection and Alerting

The ONES Rule Engine integrates an alert system to notify users of important performance metrics. Alerts can be sent via multiple channels, including Slack and Zendesk, providing details on device and queue statuses to assist in rapid resolution of issues.

Queue Counters Overview

Key performance indicators tracked by the ONES Rule Engine include packet transmit and receive rates, packet drops, and ECN-marked packets. Monitoring these statistics offers insights into potential congestion and performance bottlenecks.

PFC Mechanism

Priority Flow Control events are monitored to identify areas of the network that may experience congestion. This capability aids in maintaining optimal traffic conditions and performance.

Alerts and Notifications

When predefined thresholds are exceeded, alerts are dispatched to ensure that data center operators can take necessary actions. Each alert conveys pertinent information to facilitate troubleshooting.

Continuous Monitoring

The ONES Rule Engine is designed to continuously monitor network links for disturbances or failures. This function provides immediate alerting on issues encountered in RDMA over Converged Ethernet (RoCE) environments, allowing for timely corrective measures.

Conclusion

In summary, the enhancements to the ONES Rule Engine improve monitoring and alerting capabilities for AI-Fabric metrics, equipping IT leaders to effectively manage network performance. This blog signals a timely, fact-based summary of the original blog post.

Blog post, originally published by Anbarasan Ramalingam at Aviz Networks.

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