Introduction
Increased latency in Rackspace's OpenStack Public Cloud instances over the past two weeks is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term fixes and long-term implications for our cloud infrastructure.
I'll approach this problem by first clarifying the context, then ruling out external factors before diving deep into our product ecosystem, metrics, and potential internal causes. We'll generate data-driven hypotheses, conduct root cause analysis, and develop a comprehensive plan to resolve the issue and prevent future occurrences.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minute)
Why it matters: Recent changes often correlate with performance issues. Expected answer: Yes, there was a major update two weeks ago. Impact on approach: If confirmed, we'd focus on the update's components and rollout process.
Why it matters: Helps narrow down potential causes and affected components. Expected answer: The issue is more pronounced in certain regions. Impact on approach: We'd investigate region-specific factors and infrastructure differences.
Why it matters: Resource constraints often lead to latency issues. Expected answer: There's been a gradual increase in overall resource utilization. Impact on approach: We'd focus on capacity planning and resource optimization strategies.
Why it matters: Ensures we're dealing with a real issue, not a measurement anomaly. Expected answer: No changes to monitoring systems have been made. Impact on approach: We'd rule out measurement errors and focus on actual performance issues.
Practice similar questions
Subscribe to access the full answer