What caused the sudden spike in error rates for Quantum Metric's API integration service yesterday afternoon?

Introduction

The sudden spike in error rates for Quantum Metric's API integration service yesterday afternoon 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 this could be related to a recent deployment. Has there been any recent code push or system update to the API integration service?

Why it matters: Recent changes are often the culprit in sudden performance issues. Expected answer: Yes, there was a deployment yesterday morning. Impact on approach: If confirmed, we'd focus on changes in that deployment.

• Considering the nature of API integrations, I'm wondering about potential issues with third-party services. Have we seen any changes in performance or availability from our key integration partners?

Why it matters: External dependencies can significantly impact our service quality. Expected answer: No reported issues from major partners. Impact on approach: If true, we'd shift focus to internal systems and code.

• Given that it's an API service, I'm curious about the traffic patterns. Has there been any unusual spike in API calls or changes in usage patterns from our clients?

Why it matters: Unexpected load can strain systems and cause errors. Expected answer: Traffic has been within normal ranges. Impact on approach: If confirmed, we'd look more closely at our system's capacity and error handling.

• Thinking about the error rates, I'm wondering about the specific types of errors we're seeing. Are these primarily timeouts, authentication failures, or data processing errors?

Why it matters: Different error types point to different potential root causes. Expected answer: Mostly timeout errors. Impact on approach: This would guide us to focus on performance and capacity issues.