Introduction
Increased latency in Aruba's Central cloud management platform during peak usage hours is a critical issue that demands immediate attention. This problem not only affects user experience but also has potential implications for network performance and customer satisfaction. I'll approach this analysis systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term solutions.
Framework overview
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Understanding usage patterns helps identify potential bottlenecks. Expected answer: Peak hours are likely during business hours in major time zones. Impact on approach: If peaks align with specific time zones, we might need to consider regional infrastructure scaling.
Why it matters: New features can introduce unexpected load or bugs. Expected answer: A major update was released two weeks ago. Impact on approach: If confirmed, we'd need to investigate the impact of this update on system performance.
Why it matters: Quantifying the issue helps prioritize and set benchmarks for improvement. Expected answer: Peak latency is 3x higher than off-peak. Impact on approach: The severity of the difference would influence the urgency of our response.
Why it matters: Helps identify if the issue is global or specific to certain user groups. Expected answer: Enterprise customers with large deployments are most affected. Impact on approach: If specific to large deployments, we'd focus on scalability for high-volume users.
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