Introduction
Amazon's search response time increase to 3 seconds for 40% of queries is a critical issue that demands immediate attention. This performance degradation directly impacts user experience, potentially leading to decreased engagement and sales. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes and long-term solutions.
Framework overview
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Timing helps identify potential triggers and narrows down the investigation scope. Expected answer: Within the last 24-48 hours. Impact on approach: Recent changes would focus our investigation on recent deployments or traffic spikes.
Why it matters: Patterns could indicate specific product categories, search algorithms, or data sources causing the slowdown. Expected answer: Longer queries or those requiring more complex processing seem more affected. Impact on approach: This would guide our investigation towards query processing and indexing systems.
Why it matters: Helps determine if it's a global infrastructure issue or localized problem. Expected answer: The issue appears to be global but more pronounced in certain regions. Impact on approach: Would focus on global systems first, then drill down into regional variations.
Why it matters: Recent changes are often the culprit in sudden performance issues. Expected answer: A new machine learning model for search ranking was deployed last week. Impact on approach: Would prioritize investigation of the new model and its integration with existing systems.
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