Introduction
The sudden 30% increase in latency for Zayo Group's Wavelengths service in the Northeast region this month is a critical issue that demands immediate attention. As we dive into this analysis, we'll systematically identify potential root causes, validate our hypotheses, and develop a comprehensive plan to address the problem.
I'll approach this issue by first clarifying key details, ruling out external factors, and then diving deep into the product's user journey and metrics. We'll generate data-driven hypotheses, conduct a thorough root cause analysis, and propose validation methods and solutions. Throughout this process, we'll consider both short-term fixes and long-term strategic implications.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Infrastructure changes often impact service performance. Expected answer: Yes, there was a major router upgrade. Impact on approach: If confirmed, we'd focus on post-upgrade configuration issues.
Why it matters: Ensures we're addressing a real issue, not a measurement anomaly. Expected answer: No changes in measurement methods. Impact on approach: If there were changes, we'd need to validate the new measurement system.
Why it matters: Helps identify if the issue is demand-driven or infrastructure-related. Expected answer: Normal traffic patterns with seasonal variations. Impact on approach: Unusual patterns would shift focus to capacity planning and load balancing.
Why it matters: Peering changes can significantly impact network performance. Expected answer: No major changes in peering agreements. Impact on approach: If changes occurred, we'd investigate the impact of new peering arrangements.
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