Aviz details ONES telemetry collector scale testing KPIs and methods
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A new vendor post details how it evaluates ONES telemetry collectors at different scales, focusing on performance, resource efficiency, data integrity, and operational continuity. For enterprise IT and security leaders, the update outlines measurable criteria and testing components used to validate collector behavior under load.
Research Overview
The post examines experiments used to test ONES (Open Networking Enterprise Suite) telemetry collectors across varying scales. It describes scale testing as having architectural and operational challenges that require both design choices and continued optimization to support large network environments.
It also frames scale testing as a multi-factor effort, with telemetry collector performance assessed alongside infrastructure readiness concerns. The article provides a set of goals and references multiple testing approaches used to evaluate those goals.
Key Findings
The post lists performance optimization as a goal, aiming to process high telemetry volumes with minimal latency for real-time analysis. It also calls out resource efficiency, specifying CPU, memory, and storage utilization as areas to control during high-scale collection.
Additional goals include data integrity and quality, fault tolerance, resilience under adverse conditions, and longevity over extended durations. The article presents these criteria as the main dimensions used when validating collector operation under load conditions.
Technical Breakdown
The post describes data integrity tests as steps that maintain alignment between a Source of Truth (SOT) and delivered data. It states that the Datadog integration supports monitoring and analytics of resource utilization to verify resource optimization and guide configuration adjustments.
For fault tolerance and resilience validation, it describes deploying a Traffic Control mechanism in the Linux ecosystem to validate response to varied network disruptions. It also states that latency was measured under scale conditions while the collector processed data and pushed it to a database, with continuous monitoring under a test scenario of 1024 devices.
Product/Testing Components Mentioned
The post describes a gNMI simulator developed internally to support scale testing for gNMI-based systems. It says the simulator generates high volumes of gNMI requests and responses to test performance, scalability, and resilience, including handling concurrent connections and complex network scenarios.
It describes the simulator as a way to identify bottlenecks and optimize resource utilization while validating reliability for large-scale gNMI deployments. It also references a “scale topology dashboard” and a “scale simulator architecture” in the supporting figures.
Overall, the blog presents a scale-testing framework for ONES telemetry collectors using goals such as performance, resource control, data integrity, and resilience, supported by testing components including a gNMI simulator, Datadog-based monitoring, Linux traffic control, and latency measurement during a 1024-device scenario. This “Blog Signals brief” is a fact-based summary of the vendor blog.
Blog post, originally published at aviznetworks.com.