What factors are contributing to the increased latency in Axon Evidence cloud storage access for West Coast agencies this quarter?

Introduction

Increased latency in Axon Evidence cloud storage access for West Coast agencies this quarter 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.

My analysis will follow a structured framework, beginning with clarifying questions to gather essential context, followed by a thorough examination of potential causes, data analysis, hypothesis formation, and ultimately, a comprehensive resolution plan.

Step 1

Clarifying Questions (3 minutes)

• I'm noticing the issue is specific to West Coast agencies. Could you confirm if this latency increase is isolated to this region or if there are any signs of similar issues in other geographical areas?

Why it matters: This helps determine if the problem is localized or potentially part of a broader issue. Expected answer: The issue is primarily affecting West Coast agencies. Impact on approach: If isolated, we'll focus on region-specific factors; if widespread, we'll consider more systemic causes.

• Considering the timing, I'm wondering about any recent changes. Have there been any significant updates to the Axon Evidence platform or underlying infrastructure in the past quarter?

Why it matters: Recent changes often correlate with performance issues. Expected answer: There was a minor update to the storage system two weeks ago. Impact on approach: If confirmed, we'll prioritize investigating the recent update as a potential cause.

• Looking at user patterns, I'm curious about usage trends. Has there been a notable increase in data volume or user activity from West Coast agencies recently?

Why it matters: Increased usage could strain system resources and impact performance. Expected answer: Data volume has grown steadily, but no sudden spikes. Impact on approach: If usage has spiked, we'll focus on scaling solutions; if not, we'll look more closely at system inefficiencies.

• Regarding performance metrics, what's the specific threshold for "increased latency," and how does it compare to normal operating parameters?

Why it matters: Defines the scope and severity of the issue. Expected answer: Latency has increased by 30% compared to last quarter's baseline. Impact on approach: The degree of increase will help prioritize the urgency of our response and the depth of investigation required.