Introduction
The sudden 30% increase in error rates for FullStory's JavaScript SDK implementations 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.
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 are often the culprit in sudden performance shifts. Expected answer: Yes, there was a minor SDK update yesterday morning. Impact on approach: If confirmed, we'd focus on the changes in that update.
Why it matters: Helps identify if it's a global issue or specific to certain implementations. Expected answer: The increase is more pronounced in high-traffic websites. Impact on approach: We'd prioritize investigating high-traffic implementations and their unique characteristics.
Why it matters: Sudden scale changes can expose hidden system limitations. Expected answer: Data volume has been steadily increasing, but no sudden spikes. Impact on approach: If volume is stable, we'd focus more on code-level issues rather than infrastructure scaling.
Why it matters: External technological changes can sometimes cause unexpected behavior in SDKs. Expected answer: Chrome released a minor update two days ago. Impact on approach: We'd investigate compatibility issues with the latest browser versions.
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