What's causing the sudden increase in error rates for the Notion API over the past 48 hours?

Introduction

The sudden increase in error rates for the Notion API over the past 48 hours is a critical issue that demands immediate attention. As we dive into this analysis, we'll systematically identify potential causes, validate our hypotheses, and develop a comprehensive plan to address the root cause while considering both short-term fixes and long-term implications.

Our approach will involve a thorough examination of the API's performance, user impact, and potential technical or external factors contributing to the error rate spike. We'll prioritize data-driven decision-making and cross-functional collaboration to ensure a swift and effective resolution.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking this could be related to a recent deployment. Has there been any significant update or change to the API in the last week?

Why it matters: Recent changes often correlate with performance issues. Expected answer: Yes, a new feature was deployed 3 days ago. Impact on approach: If confirmed, we'd prioritize investigating the new feature and its integration.

• Considering the scope, I'm curious about the error distribution. Are we seeing a uniform increase across all API endpoints, or is it concentrated in specific areas?

Why it matters: Helps narrow down the problem area and potential causes. Expected answer: Errors are primarily in data retrieval endpoints. Impact on approach: We'd focus our investigation on the data retrieval logic and associated systems.

• Given the sudden nature, I'm wondering about external factors. Have we observed any unusual spikes in API usage or changes in user behavior recently?

Why it matters: Distinguishes between internal issues and external pressures. Expected answer: No significant changes in overall usage patterns. Impact on approach: We'd shift focus to internal systems rather than user behavior or capacity issues.

• Thinking about our monitoring systems, I'm concerned about potential gaps. Are we confident that our error tracking is comprehensive, or could there be blind spots?

Why it matters: Ensures we're working with accurate and complete data. Expected answer: Monitoring covers all endpoints, but some granular data might be missing. Impact on approach: We'd consider improving monitoring as part of our long-term solution.