What's causing the sudden increase in error rates for API calls in Airtable's enterprise accounts?

Introduction

The sudden increase in error rates for API calls in Airtable's enterprise accounts is a critical issue that demands immediate attention. This problem could significantly impact user experience, system reliability, and ultimately, customer retention. I'll approach this analysis systematically, focusing on identifying the root cause, 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 this might be related to a recent deployment. Has there been any significant update or change to the API infrastructure in the past week?

Why it matters: Recent changes often correlate with sudden performance issues. Expected answer: Yes, there was a deployment last Thursday. Impact on approach: If confirmed, I'd focus on changes in that deployment.

• Considering the scope, I'm wondering if this is affecting all enterprise accounts or a specific subset. Can you provide more details on the distribution of these errors across our enterprise customer base?

Why it matters: This helps determine if it's a global issue or limited to certain account types or regions. Expected answer: It's affecting about 60% of enterprise accounts, primarily in North America. Impact on approach: I'd investigate common factors among affected accounts and regional infrastructure.

• Given the nature of API calls, I'm curious about the specific types of errors being reported. Are we seeing any patterns in the error codes or messages?

Why it matters: Different error types can point to distinct root causes (e.g., timeout errors vs. authentication failures). Expected answer: Mostly 503 Service Unavailable errors, with some 504 Gateway Timeout errors. Impact on approach: This would lead me to focus on server capacity and network issues.

• Considering potential external factors, have we observed any unusual spikes in API usage from our enterprise customers recently?

Why it matters: Sudden increases in demand can overwhelm systems and cause errors. Expected answer: Usage has been steadily increasing, but no significant spikes. Impact on approach: If confirmed, I'd shift focus from capacity issues to potential bugs or configuration problems.