What caused the sudden spike in error rates for Cribl Edge deployments yesterday afternoon?

Introduction

The sudden spike in error rates for Cribl Edge deployments yesterday afternoon is a critical issue that demands immediate attention and thorough analysis. As we dive into this problem, we'll follow a systematic approach to identify, validate, and address the root cause while considering both short-term fixes and long-term implications for our product ecosystem.

I'll outline my approach to addressing this issue:

1. Gather essential context through clarifying questions
2. Rule out external factors
3. Analyze the product and user journey
4. Break down the error rate metric
5. Prioritize data collection
6. Form and evaluate hypotheses
7. Conduct root cause analysis
8. Propose validation methods and next steps
9. Present a decision framework
10. Develop a comprehensive resolution plan

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking this might be related to a recent deployment. Can you confirm if there were any updates or changes pushed to Cribl Edge in the 24 hours before the error spike?

Why it matters: Recent changes often correlate with sudden performance issues. Expected answer: Yes, there was a minor update deployed yesterday morning. Impact on approach: If confirmed, we'd focus on the update's contents and rollout process.

• Given the specificity of "Cribl Edge deployments," I'm wondering about the scope. Are we seeing this error spike across all Edge deployments or is it limited to specific customer segments or deployment types?

Why it matters: Helps narrow down potential causes and affected users. Expected answer: The spike is primarily affecting enterprise customers with large-scale deployments. Impact on approach: We'd investigate factors unique to enterprise environments and large deployments.

• Considering the abruptness of the spike, I'm curious about our monitoring systems. Have there been any changes to how we measure or report error rates recently?

Why it matters: Ensures we're not dealing with a false positive due to measurement changes. Expected answer: No recent changes to monitoring or reporting systems. Impact on approach: If confirmed, we can rule out measurement issues and focus on actual performance problems.

• Given the critical nature of Edge deployments, I'm thinking about potential environmental factors. Have we observed any unusual patterns in network traffic or infrastructure performance coinciding with the error spike?

Why it matters: External factors could be contributing to or causing the issue. Expected answer: Some customers reported network instability around the same time. Impact on approach: We'd investigate the relationship between network issues and our error rates.