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ONES 2.0 Rule Engine enhances SONiC monitoring and alert systems

Source Decision Insights Coverage Published November 7, 2025 Companies 1
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28th article in the last 90 days, one of 57 articles referencing Sonic. Previous coverage: Techevolution updates network infrastructure with Aviz and SONiC (Nov 2025).

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The ONES 2.0 update introduces a Rule Engine that enhances monitoring and alert management capabilities for SONiC environments, integrating with tools like Slack and Zendesk.

Overview

The ONES Rule Engine aims to improve network operations by integrating an alert and notification system. This system enables comprehensive metrics monitoring and simplifies the creation of device- and interface-level rules necessary for maintaining efficient operations.

Benefits of Using ONES Rule Engine for Comprehensive Monitoring

The system provides a range of advantages for users managing network operations. It includes holistic visibility across various device metrics, which allows teams to proactively address issues before they escalate.

  • Comprehensive monitoring: Users gain insights into Central Processing Unit (CPU), memory, PSU status, and network metrics, fostering proactive issue resolution.
  • Device & interface rules: Policies can be applied to enhance performance and response accuracy.
  • Advanced customization: Administrators can filter rules based on hardware SKU, device role, and Operating System (OS) version to minimize noisy alerts.

Real-time adjustments to alert parameters help ensure responsive operations. Users receive summaries of alerts to facilitate collaborative troubleshooting, greatly impacting Mean Time To Repair.

  • Flexible inclusion/exclusion: Users can adjust which devices are subject to specific monitoring rules.
  • Severity-based alerting: Critical and warning levels prioritize responses based on the severity of the alerts.
  • Rich alert context: Each alert contains detailed context encompassing various metrics and device information.

Rule Engine Coverage

The ONES Rule Engine offers extensive coverage for network health and performance monitoring. Continuous backend tracking enables immediate detection of component failures and traffic anomalies.

  • System health: Users can monitor CPU and memory along with recommended operational thresholds.
  • Component failures: The system facilitates the detection of faults in critical components such as fans and PSUs.
  • Capacity monitoring: Alerts for Application-Specific Integrated Circuit (ASIC) table utilization prevent software fall-backs.

Conclusion

The ONES 2.0 Rule Engine supports improved monitoring and alert management with real-time insights across various network components. The ability to integrate with Slack and Zendesk enhances collaboration and reduces operational noise, streamlining SONiC operations.

The extensible alerting framework can adapt to include additional platforms for seamless operations in diverse environments.

FAQs

1) The ONES Rule Engine significantly enhances SONiC network monitoring via device- and interface-level rules targeting essential metrics.

2) Real-time alerts are supported through Slack integration and automated ticket creation in Zendesk for streamlined resolutions.

3) Administrators can manage alert redundancy to mitigate alert fatigue in larger environments through customizable thresholds.

4) The Rule Engine generates alerts related to system health, component failures, capacity issues, and more.

5) The ONES 2.0 framework provides a normalized visibility across multi-vendor platforms, critical for maintaining Service Level Agreements (SLAs).

6) Users can establish conditions such as hardware SKU or OS version for tailored monitoring experiences.

7) Continuous monitoring capabilities enable rapid alerts about component-level failures to maintain uptime.

8) Traffic and capacity insights help identify potential bottlenecks, thereby aiding network performance management.

9) Alert context includes vital information promoting effective resolution strategies through collaborative tools.

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

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