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Product Management Root Cause Analysis Question: Investigating cloud platform latency issues during high usage periods
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Nextsprints

Updated Jan 22, 2025

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Asked at Aruba

15 mins

What factors are causing the increased latency in Aruba's Central cloud management platform during peak usage hours?

Technical Analysis Problem-Solving Data Interpretation Enterprise Networking Cloud Computing IT Infrastructure
Performance Optimization Root Cause Analysis Network Infrastructure Cloud Management

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)

  • Looking at the timing, I'm thinking this might be a capacity issue. Can you provide more details on when these peak usage hours typically occur?

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.

  • Considering the nature of cloud platforms, I'm wondering about recent feature releases. Have there been any significant updates or new features added to Central in the past month?

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.

  • Given the focus on latency, I'm curious about the current metrics. What's the average latency during peak hours compared to off-peak times?

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.

  • Thinking about user segments, are all customers experiencing this latency equally, or is it more pronounced for certain types of users or deployments?

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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