What factors are contributing to the increased error rate for EasyPost's USPS shipping label generation in the last week?

Introduction

The increased error rate for EasyPost's USPS shipping label generation in the last week is a critical issue that demands immediate attention. This problem directly impacts our core service offering and could lead to significant customer dissatisfaction if not addressed promptly. I'll approach this analysis systematically, focusing on identifying potential root causes, validating hypotheses, and developing both short-term fixes and long-term solutions.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might have been a recent system update. Has there been any software deployment or API changes in the past week?

Why it matters: Recent changes often correlate with performance issues. Expected answer: Yes, there was a minor update to our label generation service. Impact on approach: If confirmed, we'd focus on rollback options and code review.

• Considering the specificity to USPS, I'm wondering about potential changes on their end. Have there been any reported issues or updates from USPS recently?

Why it matters: External partner changes can significantly impact our service. Expected answer: USPS implemented a new address validation system last week. Impact on approach: We'd need to investigate compatibility issues with the new system.

• Given the nature of shipping labels, I'm curious about seasonal factors. Are we seeing any unusual spikes in shipping volume that could be straining our systems?

Why it matters: Unexpected volume increases can lead to performance degradation. Expected answer: There's been a 20% increase in shipping volume due to a major sale event. Impact on approach: We'd need to consider scaling solutions and load balancing strategies.

• Thinking about our error tracking, I'm interested in the error types. Can you provide more details on the specific errors being reported?

Why it matters: Different error types point to different root causes. Expected answer: We're seeing a mix of timeout errors and invalid address format errors. Impact on approach: This would guide our investigation towards either performance issues or data validation problems.