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Alert Fatigue in Hyperscale Environments - A Metrics Based Approach to Signal Tuning in Open Networks

Open Compute Project via YouTube

Overview

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Learn to combat alert fatigue in hyperscale network environments through a metrics-driven approach to signal tuning and prioritization. Discover how Microsoft tackles the growing challenge of alert overload in physical network infrastructures where failures cascade across multiple layers, from server-to-ToR connections to packet loss scenarios above ToR switches. Explore the implementation of key performance metrics including Time to Detect (TTD), Time to Mitigate (TTM), and Black Box to White Box Alert Ratios to effectively reduce noise, enhance correlation capabilities, and surface truly actionable alerts. Examine real-world tuning strategies for optimizing alert thresholds, implementing sophisticated deduplication techniques, and designing intelligent alert routing systems that enable network operations teams to focus on critical issues. Understand how open telemetry data from multi-vendor OCP (Open Compute Project) hardware enables scalable alerting solutions across hyperscale network deployments. Gain practical frameworks and methodologies for systematically reducing alert fatigue while simultaneously improving overall reliability across disaggregated, open infrastructure environments built with OCP-recognized hardware components.

Syllabus

Alert Fatigue in Hyperscale Environments A Metrics Based Approach to Signal Tuning in Open Ne

Taught by

Open Compute Project

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