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Product Management Root Cause Analysis Question: Investigating API error rates for financial technology services
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Nextsprints

Updated Jan 22, 2025

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What factors are contributing to the increased API error rates for Galileo Financial Technologies's real-time account balance inquiries in the last week?

Problem Solving Technical Analysis Data Interpretation Fintech Banking Financial Services
Fintech Root Cause Analysis API Performance Data Management Troubleshooting

Introduction

The increased API error rates for Galileo Financial Technologies's real-time account balance inquiries over the past week present a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.

To tackle this problem, I'll follow a structured approach that covers issue identification, hypothesis generation, validation, and solution development. My goal is to provide a comprehensive analysis that not only resolves the current situation but also strengthens our system against future challenges.

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 there might be a recent change in our API infrastructure. Have there been any deployments or updates to our API systems in the past two weeks?

Why it matters: Recent changes often correlate with performance issues. Expected answer: Yes, there was a minor update to the API gateway. Impact on approach: If confirmed, we'd prioritize investigating that update.

  • Considering user impact, I'm curious about the scale of this issue. What percentage increase in error rates are we seeing compared to our baseline?

Why it matters: The magnitude helps prioritize our response and resources. Expected answer: A 30% increase in error rates. Impact on approach: A significant increase would warrant more urgent action.

  • Given the nature of real-time inquiries, I'm wondering about any changes in traffic patterns. Have we seen any unusual spikes in API requests recently?

Why it matters: Unexpected load can strain systems and cause errors. Expected answer: Traffic has been consistent with normal patterns. Impact on approach: If traffic is normal, we'd focus more on internal system issues.

  • Thinking about potential external factors, has there been any change in how our partners or customers are integrating with our API?

Why it matters: Changes in integration patterns could stress our system in unexpected ways. Expected answer: No significant changes reported from major partners. Impact on approach: If confirmed, we'd shift focus to internal factors more heavily.

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