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Company focus

Apollo GraphQL

Why has Apollo GraphQL's schema registry seen a 30% drop in new schema uploads over the past week?

Prepared by NextSprints

15 mins
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Data Analysis Problem Solving Technical Understanding Developer Tools Cloud Services Enterprise Software Performance Optimization Root Cause Analysis Data Management GraphQL
Product Management Root Cause Analysis Question: Investigating Apollo GraphQL's schema registry upload decrease

Introduction

The recent 30% drop in new schema uploads to Apollo GraphQL's schema registry over the past week is a concerning trend that requires immediate attention and thorough analysis. As we delve into this issue, we'll systematically examine potential causes, gather relevant data, and develop a strategic plan to address the root cause while considering both short-term fixes and long-term implications for our product ecosystem.

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 system. Has there been any significant update or deployment to the schema registry in the past two weeks?

Why it matters: Recent changes often correlate with performance shifts. Expected answer: Yes, there was a minor update to improve upload speed. Impact on approach: If confirmed, we'd focus on the recent changes first.

  • Considering user segments, I'm curious about the distribution of this drop. Are we seeing this 30% decrease uniformly across all user types, or is it more pronounced in specific segments?

Why it matters: Helps identify if the issue is global or segment-specific. Expected answer: The drop is more significant among enterprise users. Impact on approach: We'd prioritize investigating enterprise-specific features or workflows.

  • Given the nature of schema uploads, I'm wondering about any changes in error rates. Have we noticed any increase in failed upload attempts or error messages during this period?

Why it matters: Could indicate a technical issue rather than a user behavior change. Expected answer: There's been a slight increase in timeout errors. Impact on approach: We'd focus on performance and infrastructure-related hypotheses.

  • Thinking about external factors, has there been any significant change in the GraphQL ecosystem or competing products that might influence our users' behavior?

Why it matters: External events can sometimes explain internal metrics shifts. Expected answer: No major changes in the competitive landscape. Impact on approach: We'd focus more on internal factors if external influences are ruled out.

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Updated Mar 29, 2025