What caused the sudden spike in error rates for Impact Tech's cloud storage service last week?

Introduction

The sudden spike in error rates for Impact Tech's cloud storage service last 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 the service.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking this might be related to a recent deployment. Has there been any significant update or change to the cloud storage service in the past week?

Why it matters: Recent changes often correlate with sudden performance issues. Expected answer: Yes, there was a minor update to the file indexing system. Impact on approach: If confirmed, we'd focus on the new indexing system as a primary area of investigation.

• Considering the nature of cloud storage, I'm wondering about the scale of this issue. What percentage increase in error rates are we seeing, and is it affecting all users or a specific subset?

Why it matters: The scope helps determine if it's a systemic issue or limited to certain user segments. Expected answer: A 30% increase in error rates, primarily affecting users with large file volumes. Impact on approach: This would guide us to focus on high-volume users and potential scalability issues.

• Given the critical nature of data storage, I'm curious about the types of errors being reported. Are these read errors, write errors, or perhaps authentication issues?

Why it matters: Different error types point to different potential root causes. Expected answer: Primarily write errors, with some users reporting data corruption. Impact on approach: This would shift our focus to the write operations and data integrity checks.

• Thinking about potential external factors, have there been any significant changes in user behavior or usage patterns coinciding with the error spike?

Why it matters: External factors can sometimes masquerade as internal issues. Expected answer: No significant changes in overall usage patterns noted. Impact on approach: This would lead us to focus more on internal system issues rather than user behavior changes.