What is causing the spike in error rates for S&P Global's CUSIP identifier service over the past week?

Introduction

The recent spike in error rates for S&P Global's CUSIP identifier service is a critical issue that demands immediate attention and a thorough root cause analysis. As we delve into this problem, we'll systematically examine potential factors, gather relevant data, and develop hypotheses to identify the underlying cause of this performance degradation. Our goal is not only to resolve the current issue but also to implement measures that prevent similar occurrences in the future.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking this could be related to a recent system update. Has there been any significant changes to the CUSIP service infrastructure or codebase in the past two weeks?

Why it matters: Recent changes often correlate with performance issues. Expected answer: Yes, there was a minor update to the database indexing system. Impact on approach: If confirmed, we'd focus on the update's impact and potential rollback.

• Considering the nature of the service, I'm curious about data input quality. Have there been any changes in the sources or format of incoming data for CUSIP assignments?

Why it matters: Data quality issues could lead to increased error rates. Expected answer: No changes in data sources, but there's been an increase in new security types. Impact on approach: We'd investigate how the system handles new security types.

• Given the global nature of financial markets, I'm wondering about geographic distribution. Is the error spike uniform across all regions, or is it concentrated in specific areas?

Why it matters: Localized issues might point to regional infrastructure problems. Expected answer: The spike is more pronounced in Asian markets. Impact on approach: We'd examine region-specific factors and data processing pipelines.

• Thinking about system load, has there been a significant increase in the volume of CUSIP requests or any unusual patterns in usage?

Why it matters: Unexpected load spikes could overwhelm the system. Expected answer: There's been a 15% increase in request volume, particularly during Asian market hours. Impact on approach: We'd focus on scaling and performance optimization strategies.