Introduction
The sudden spike in error rates for Looker's LookML validation process last week is a critical issue that demands immediate attention. As we delve into this product execution problem, we'll employ a systematic approach to identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Recent changes often correlate with sudden performance shifts. Expected answer: Yes, there was a deployment last Tuesday. Impact on approach: If confirmed, we'd focus on changes in that deployment.
Why it matters: The magnitude helps prioritize the issue and narrow down potential causes. Expected answer: A 200% increase in error rates. Impact on approach: A large increase might indicate a systemic issue rather than an edge case.
Why it matters: This helps identify if the issue is isolated to a particular part of the validation process. Expected answer: Mostly syntax errors in certain types of LookML files. Impact on approach: We'd focus on the specific validation rules for those file types.
Why it matters: Understanding the affected user base helps in prioritizing and targeting our investigation. Expected answer: Primarily affecting larger, more complex projects. Impact on approach: We'd examine how the validation process scales with project complexity.
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