What factors are contributing to the increased latency in Verkada's facial recognition feature across multiple customer sites this week?

Introduction

Increased latency in Verkada's facial recognition feature across multiple customer sites this week is a critical issue that demands immediate attention. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term implications.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking this could be a recent change. Has there been any software update or configuration change deployed in the last week?

Why it matters: Recent changes are often the culprit in sudden performance issues. Expected answer: Yes, a minor update was pushed last week. Impact on approach: If confirmed, we'd focus on the update's contents and rollout process.

• Considering the scale, I'm wondering about the extent of the problem. What percentage of customer sites are experiencing this increased latency?

Why it matters: This helps determine if it's a localized or widespread issue. Expected answer: About 30% of sites are affected. Impact on approach: A widespread issue might indicate a systemic problem rather than isolated incidents.

• Given the nature of facial recognition, I'm curious about environmental factors. Have there been any significant changes in lighting conditions or camera setups at affected sites?

Why it matters: Environmental changes can impact the performance of computer vision systems. Expected answer: No significant environmental changes reported. Impact on approach: If confirmed, we'd shift focus from external factors to internal system issues.

• Thinking about network dependencies, I'm considering potential infrastructure changes. Have there been any modifications to the network architecture or cloud services used by the facial recognition feature?

Why it matters: Network changes can significantly impact latency for cloud-based services. Expected answer: A new load balancer was implemented recently. Impact on approach: This would direct our investigation towards network infrastructure and data flow.