Introduction
The sudden spike in latency for Nuna Healthcare's real-time eligibility verification service last week is a critical issue that demands immediate attention. This service is fundamental to Nuna's value proposition, enabling healthcare providers to quickly verify patient insurance eligibility. A latency increase could significantly impact user experience, potentially leading to longer wait times for patients and reduced efficiency for healthcare providers.
To address this issue, I'll employ a systematic approach to identify, validate, and resolve the root cause. My analysis will cover both immediate fixes and long-term strategies to prevent future occurrences.
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, there was a minor update. Impact on approach: If confirmed, we'd focus on the changes made in that update.
Why it matters: Sudden traffic spikes can overwhelm systems. Expected answer: Traffic has been relatively stable. Impact on approach: If traffic is stable, we'd look more at internal system issues.
Why it matters: Constant issues often point to systemic problems, while intermittent ones might indicate external factors or specific conditions. Expected answer: The spike is intermittent but recurring. Impact on approach: Intermittent issues might lead us to investigate specific load conditions or time-based factors.
Why it matters: Isolated issues often point to service-specific problems, while widespread issues might indicate infrastructure or network problems. Expected answer: The issue seems isolated to this service. Impact on approach: An isolated issue would focus our investigation on the specific service rather than broader infrastructure.
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