What factors are contributing to the increased error rates in Smarsh's Voice archiving solution during peak usage hours?

Introduction

Increased error rates in Smarsh's Voice archiving solution during peak usage hours present a critical challenge that demands immediate attention. This issue not only impacts user experience but also poses potential compliance risks for our clients. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes and long-term strategic solutions.

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 and how long they last?

Why it matters: Understanding the pattern of peak usage helps identify potential system bottlenecks. Expected answer: Peak hours occur during business hours, lasting 2-3 hours. Impact on approach: If confirmed, we'd focus on scaling solutions during these specific timeframes.

• Considering the nature of voice archiving, I'm curious about the file sizes being processed. Has there been any recent change in the average size or format of voice files being archived?

Why it matters: Changes in file characteristics could strain the system differently. Expected answer: No significant changes in file sizes or formats. Impact on approach: If there were changes, we'd investigate file processing optimizations.

• Given the specificity of "error rates," I'm wondering about the exact definition of these errors. Are we seeing specific types of errors more frequently, or is it a general increase across all error categories?

Why it matters: Different error types point to different root causes. Expected answer: Increase in timeout errors and processing failures. Impact on approach: This would guide our focus towards system capacity and processing efficiency.

• Thinking about recent changes, have there been any significant updates to the Voice archiving solution or related systems in the past month?

Why it matters: Recent changes often correlate with performance issues. Expected answer: A minor update was deployed two weeks ago. Impact on approach: We'd prioritize investigating the impact of this update.