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Company focus

Mapbox

What caused the sudden spike in error rates for Mapbox's Geocoding API last week?

Prepared by NextSprints

15 mins
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Technical Analysis Problem-Solving Data Interpretation Geospatial Technology SaaS Location-based Services Root Cause Analysis API Troubleshooting Error Rates Geocoding Mapbox
Product Management Root Cause Analysis Question: Investigating sudden error rate increase in Mapbox's Geocoding API

Introduction

The sudden spike in error rates for Mapbox's Geocoding API last week presents a critical issue that demands immediate attention and thorough analysis. As we delve into this problem, we'll employ a systematic approach to identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.

Our analysis will follow a structured framework, beginning with clarifying questions to establish context, followed by a comprehensive examination of potential causes, data analysis, and hypothesis formation. We'll then move into root cause analysis, validation steps, and finally, a robust resolution plan.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • I'm noticing the term "sudden spike." Would you say this increase occurred within a matter of hours or days?

Why it matters: The timeframe helps narrow down potential causes and urgency of response. Expected answer: Within 24 hours. Impact on approach: A rapid spike suggests a more acute, possibly technical issue rather than a gradual user behavior change.

  • Considering the nature of the Geocoding API, I'm wondering about the scale. Are we talking about a 10% increase in error rates or something more significant like 50% or higher?

Why it matters: The magnitude of the issue affects the severity of our response and potential impact on users. Expected answer: Around 30-40% increase. Impact on approach: A substantial increase would prioritize immediate technical investigation and potential rollback of recent changes.

  • Given that this is an API issue, I'm curious about the distribution. Is this affecting all API calls uniformly, or are certain types of requests or geographical regions more impacted?

Why it matters: Uneven distribution could point to specific technical issues or regional infrastructure problems. Expected answer: Primarily affecting requests in North America. Impact on approach: Regional focus would narrow our investigation to specific servers or data centers.

  • Thinking about recent changes, has there been any significant update to the Geocoding API or underlying infrastructure in the past week?

Why it matters: Recent changes are often correlated with sudden performance issues. Expected answer: A minor update was pushed three days ago. Impact on approach: This would make the recent update a prime suspect for investigation.

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NextSprints

Updated Jan 22, 2025