What factors are contributing to the sudden increase in error rates for Contentful's GraphQL API endpoints this week?

Introduction

The sudden increase in error rates for Contentful's GraphQL API endpoints this week is 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 implications for our product ecosystem.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a recent deployment or configuration change. Has there been any significant update to the GraphQL API or related systems in the past week?

Why it matters: Recent changes often correlate with sudden performance shifts. Expected answer: Yes, there was a minor update to the API gateway. Impact on approach: If confirmed, we'd focus on the recent changes and their potential side effects.

• Considering the nature of GraphQL, I'm wondering about query complexity. Have we seen any changes in the types or complexity of queries being made by our users recently?

Why it matters: Complex queries could strain the system, leading to increased error rates. Expected answer: No significant changes in query patterns have been observed. Impact on approach: If query complexity isn't the issue, we'd shift focus to infrastructure or codebase problems.

• Given that this is a sudden increase, I'm curious about the scale. Can you provide more details on the magnitude of the error rate increase and any patterns in the types of errors being reported?

Why it matters: The scale and nature of errors can point to specific underlying issues. Expected answer: Error rates have increased by 30%, primarily 500 Internal Server Errors. Impact on approach: This would guide us towards investigating server-side issues rather than client-side problems.

• Thinking about potential external factors, have there been any significant changes in traffic patterns or user behavior that coincide with the error rate increase?

Why it matters: Unusual traffic patterns could indicate DDoS attacks or changes in user behavior. Expected answer: Traffic has remained relatively stable with no unusual patterns. Impact on approach: If confirmed, we'd focus more on internal system issues rather than external factors.