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

Kong

Why has Kong's API Gateway seen a 20% drop in request throughput over the past week?

Prepared by NextSprints

15 mins
Report an error
Problem Solving Data Analysis Technical Knowledge Cloud Computing Enterprise Software DevOps Performance Optimization Root Cause Analysis Troubleshooting API Gateway Kong
Product Management Root Cause Analysis Question: Investigating API Gateway performance decline

Introduction

Kong's API Gateway experiencing a 20% drop in request throughput over the past week is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term fixes and long-term implications for the product.

I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into the product's functionality and metrics. From there, I'll generate and validate hypotheses, conduct root cause analysis, and propose a comprehensive resolution plan.

Framework overview

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

Step 1

Clarifying Questions (3 minutes)

  • Looking at the timing, I'm thinking this could be related to a recent deployment. Has there been any significant update or change to the API Gateway in the last 1-2 weeks?

Why it matters: Recent changes often correlate with performance issues. Expected answer: Yes, there was a minor update. Impact on approach: If yes, I'd focus on that update as a primary suspect.

  • Considering the scale of the drop, I'm wondering about the distribution. Is this 20% drop uniform across all clients or concentrated in specific segments?

Why it matters: Helps narrow down if it's a global issue or specific to certain users or use cases. Expected answer: The drop is more pronounced for high-volume clients. Impact on approach: If concentrated, I'd investigate those specific segments more closely.

  • Given the nature of API Gateways, I'm curious about the error rates. Have you noticed any increase in error rates or latency alongside this throughput drop?

Why it matters: Errors or latency often accompany throughput issues and can point to specific problems. Expected answer: There's been a slight increase in latency but no significant change in error rates. Impact on approach: This would guide me to look more closely at performance bottlenecks rather than outright failures.

  • Thinking about external factors, has there been any change in the pattern of API calls from major clients that could explain this drop?

Why it matters: Client behavior changes can sometimes masquerade as product issues. Expected answer: No significant changes reported from major clients. Impact on approach: If no changes, I'd focus more on internal factors rather than client-side issues.

Subscribe to access the full answer

Image of author NextSprints

NextSprints

Updated Jan 22, 2025