Student pricing is available for eligible university email holders. View plans

NextSprints
NextSprints Icon NextSprints Logo
Product Design

Master the art of designing products

Product Improvement

Identify scope for excellence

Product Success Metrics

Learn how to define success of product

Product Root Cause Analysis

Ace root cause problem solving

Product Trade-Off

Navigate trade-offs decisions like a pro

All Questions

Explore all questions

Meta (Facebook) PM Interview Course

Practice Meta-focused PM cases

Amazon PM Interview Course

Practice Amazon-focused PM cases

Apple PM Interview Course

Practice Apple-focused PM cases

Google PM Interview Course

Practice Google-focused PM cases

Microsoft PM Interview Course

Practice Microsoft-focused PM cases

All Courses

Explore all courses

1:1 PM Coaching

Practice in a one-to-one session

Resume Review

Narrate impactful stories via resume

Guides Pricing
nextsprints logo

Not a member?

By proceeding, you agree to our Terms of Use and confirm you have read our Privacy and Cookie Statement.

nextsprints logo

Register to continue.

Login with Google Login with LinkedIn

By proceeding, you agree to our Terms of Use and confirm you have read our Privacy and Cookie Statement .

Company focus

MinIO

Why has MinIO's S3 compatibility API seen a 30% drop in successful requests over the past week?

Prepared by NextSprints

15 mins
Report an error
Problem Solving Data Analysis Technical Knowledge Cloud Computing Data Storage Enterprise Software Root Cause Analysis Cloud Storage API Performance Troubleshooting MinIO
Product Management Root Cause Analysis Question: Investigating MinIO S3 API performance decline

Introduction

MinIO's S3 compatibility API has experienced a significant 30% drop in successful requests over the past week, indicating a critical issue that requires 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 for the product.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • Considering the sudden drop, I'm wondering if there have been any recent changes to the API or infrastructure. Have there been any deployments or updates in the past week?

Why it matters: Recent changes often correlate with performance issues. Expected answer: Yes, there was a minor update to the API last week. Impact on approach: If confirmed, we'd focus on the recent changes as a primary area of investigation.

  • Given the specific 30% drop, I'm curious about the distribution of this decline. Is it uniform across all users and use cases, or are certain segments more affected?

Why it matters: Helps identify if the issue is global or specific to certain user groups or scenarios. Expected answer: The drop is more pronounced for high-volume users. Impact on approach: We'd prioritize investigating high-volume user workflows and potential scalability issues.

  • Thinking about external factors, have there been any changes in user behavior or traffic patterns that might explain this drop?

Why it matters: External factors could be causing the issue rather than internal system problems. Expected answer: No significant changes in user behavior have been observed. Impact on approach: We'd focus more on internal factors if external changes are ruled out.

  • Considering the possibility of measurement errors, has there been any change in how we track or define successful requests?

Why it matters: Ensures we're not chasing a non-existent problem due to data inconsistencies. Expected answer: No changes in measurement or definition. Impact on approach: If confirmed, we can trust the data and focus on actual performance issues.

Subscribe to access the full answer

Image of author NextSprints

NextSprints

Updated Mar 29, 2025