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Company focus

Reltio

What factors are contributing to the increased error rate in Reltio's Identity Resolution service during peak usage hours?

Prepared by NextSprints

15 mins
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Problem Solving Technical Analysis Data Management Data Management Cloud Services Enterprise Software Performance Optimization Root Cause Analysis Data Management Cloud Migration Identity Resolution
Product Management Root Cause Analysis Question: Investigating increased error rates in Reltio's Identity Resolution service during peak usage

Introduction

Reltio's Identity Resolution service is experiencing an increased error rate during peak usage hours, indicating a critical issue that requires immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.

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 could 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 capacity constraints. Expected answer: Peak hours occur during business hours, lasting 4-6 hours daily. Impact on approach: If confirmed, we'd focus on scaling solutions during specific time windows.

  • Considering the nature of identity resolution, I'm curious about data quality. Have there been any recent changes in data sources or integration processes?

Why it matters: Data quality directly impacts the accuracy of identity resolution. Expected answer: No significant changes in data sources, but a new integration was implemented last month. Impact on approach: If true, we'd investigate the new integration's impact on data processing.

  • Given the specificity of "increased error rate," I'm wondering about the exact metrics. What's the normal error rate, and what increase are we seeing?

Why it matters: Quantifying the issue helps prioritize the response and measure improvement. Expected answer: Normal rate is 0.5%, now seeing 2-3% during peak hours. Impact on approach: This would help set clear benchmarks for our solution's success.

  • Thinking about system architecture, I'm curious if there have been any recent infrastructure changes or updates to the service?

Why it matters: Infrastructure changes can often lead to unexpected performance issues. Expected answer: A recent cloud migration was completed two weeks ago. Impact on approach: If confirmed, we'd focus on post-migration optimization and configuration issues.

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Updated Jan 22, 2025