Introduction
The sudden increase in DNS query latency for Cloudflare customers in Southeast Asia is a critical issue that demands immediate attention. 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 strategic implications.
Our analysis will follow a structured framework, beginning with clarifying questions to establish context, followed by a thorough examination of potential causes, data analysis, and hypothesis formation. We'll then move on to root cause analysis, validation steps, and finally, a comprehensive resolution plan.
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: This helps determine if it's a localized problem or a broader systemic issue. Expected answer: The issue is primarily affecting Southeast Asia. Impact on approach: If isolated, we'll focus on regional infrastructure; if widespread, we'll investigate global systems.
Why it matters: Recent changes often correlate with performance issues. Expected answer: A minor configuration update was pushed last week. Impact on approach: If confirmed, we'll prioritize reviewing and potentially rolling back recent changes.
Why it matters: This could point to specific services or record types being affected. Expected answer: The latency increase is uniform across query types. Impact on approach: If uniform, we'll look at broader infrastructure issues; if specific, we'll focus on those query types.
Why it matters: Unusual traffic patterns could indicate external factors or potential DDoS attacks. Expected answer: Traffic volume has remained relatively stable. Impact on approach: If stable, we'll focus on internal factors; if changed, we'll investigate potential external causes.
Why it matters: Ensures we're not chasing a non-existent problem due to faulty monitoring. Expected answer: The monitoring systems have been cross-verified and are accurate. Impact on approach: If confirmed accurate, we proceed with analysis; if uncertain, we first validate our monitoring systems.
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