Introduction
The sudden increase in API response times for the Okta Identity Engine over the past 24 hours is a critical issue that demands immediate attention. As we delve into this product root cause analysis, we'll systematically investigate potential factors contributing to this performance degradation. Our approach will involve clarifying the situation, examining both internal and external factors, and developing data-driven hypotheses to identify the root cause.
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 performance issues. Expected answer: Yes, a minor update was pushed yesterday. Impact on approach: If confirmed, we'd prioritize investigating the recent deployment.
Why it matters: Helps narrow down the scope of the problem. Expected answer: It's affecting authentication-related endpoints primarily. Impact on approach: We'd focus on authentication services and related components.
Why it matters: Unexpected load can cause performance degradation. Expected answer: There's been a 20% increase in traffic from a specific region. Impact on approach: We'd investigate regional infrastructure and potential DDoS attacks.
Why it matters: Backend services often contribute to API slowdowns. Expected answer: No known issues, but we haven't thoroughly checked yet. Impact on approach: We'd prioritize database and cache performance analysis.
Why it matters: User impact helps gauge the severity and nature of the problem. Expected answer: A few enterprise customers have reported slower logins. Impact on approach: We'd analyze these specific use cases and customer segments.
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