What's causing the sudden increase in error rates for Hootsuite's Instagram integration over the past week?

Introduction

The sudden increase in error rates for Hootsuite's Instagram integration over the past week is a critical issue that demands immediate attention. As we delve into this product root cause analysis, we'll employ a systematic approach to identify, validate, and address the underlying factors contributing to this performance degradation. Our goal is not only to resolve the current issue but also to implement preventive measures for long-term stability.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking this could be related to a recent update. Has there been any change to the Instagram API or Hootsuite's integration code in the past two weeks?

Why it matters: Recent changes often trigger unexpected issues. Expected answer: Yes, there was an API update or No, everything has been stable. Impact on approach: If yes, we'll focus on the update; if no, we'll look at other factors.

• Considering user segments, I'm curious about the error distribution. Are we seeing this increase across all user types, or is it concentrated in specific segments?

Why it matters: Helps narrow down potential causes and affected users. Expected answer: It's affecting all users equally or It's primarily impacting certain user groups. Impact on approach: Uniform impact suggests a system-wide issue, while segmented impact points to specific user behaviors or features.

• Given the nature of social media, I'm wondering about usage patterns. Have we observed any unusual spikes in posting volume or changes in content types being shared?

Why it matters: Unusual activity could strain the system and cause errors. Expected answer: There's been a significant increase in usage or No notable changes in user behavior. Impact on approach: High usage would lead us to investigate scalability issues, while normal usage would shift focus to other factors.

• Thinking about system health, I'm interested in our monitoring setup. Have there been any changes to how we measure or define error rates recently?

Why it matters: Ensures we're dealing with a real issue, not a measurement anomaly. Expected answer: No changes to monitoring or Yes, we recently updated our error tracking. Impact on approach: If there were changes, we'd need to validate the new metrics before proceeding.