Why has Narvar's Notify service experienced a sudden spike in API errors during peak holiday shipping periods?

Introduction

Narvar's Notify service is experiencing a sudden spike in API errors during peak holiday shipping periods, potentially impacting customer experience and operational efficiency. To address this critical issue, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both immediate and long-term implications.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking this could be a capacity issue. Can you provide more details on the specific error types we're seeing?

Why it matters: Different error types point to different root causes. Expected answer: Specific error codes or messages. Impact on approach: Will help narrow down technical vs. business logic issues.

• Considering the holiday context, I'm wondering about volume spikes. What's the increase in API call volume compared to non-peak periods?

Why it matters: Helps determine if this is purely a scale problem. Expected answer: A percentage increase or specific numbers. Impact on approach: Will guide capacity planning vs. code optimization focus.

• Given the sudden nature, I'm curious about recent changes. Have there been any recent updates to the Notify service or related systems?

Why it matters: Recent changes often correlate with new issues. Expected answer: Details of recent deployments or configuration changes. Impact on approach: Will help focus on change management or rollback strategies.

• Thinking about user impact, are these errors affecting all customers equally or are there patterns in affected segments?

Why it matters: Helps identify if the issue is universal or specific to certain use cases. Expected answer: Breakdown of affected customers or use cases. Impact on approach: Will guide targeted fixes vs. system-wide overhauls.