What caused the sudden spike in error rates for Mux Data's video analytics dashboard yesterday afternoon?

Introduction

The sudden spike in error rates for Mux Data's video analytics dashboard yesterday afternoon is a critical issue that demands immediate attention and thorough analysis. 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 implications for our product ecosystem.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking this could be related to a recent deployment. Has there been any recent code push or system update in the last 24-48 hours?

Why it matters: Recent changes are often the culprit in sudden performance issues. Expected answer: Yes, there was a minor update to the analytics processing pipeline. Impact on approach: If confirmed, we'd focus on rollback options and code review.

• Considering the specificity of the issue, I'm wondering about the scope. Is this spike affecting all users or a specific segment?

Why it matters: Helps narrow down potential causes and impact. Expected answer: The issue seems to be affecting enterprise users more than others. Impact on approach: We'd investigate enterprise-specific features or data processing.

• Given the nature of video analytics, I'm curious about data volume. Has there been any unusual spike in data ingestion or processing load?

Why it matters: Performance issues often correlate with unexpected data patterns. Expected answer: There was a 20% increase in data volume from a major client. Impact on approach: We'd examine scalability and load balancing strategies.

• Thinking about external factors, have there been any changes in third-party services or APIs that our dashboard relies on?

Why it matters: External dependencies can introduce unexpected issues. Expected answer: No known changes in external services. Impact on approach: We'd shift focus to internal systems and recent code changes.