How can Kong improve its API gateway's traffic control capabilities to handle larger volumes of requests?

Introduction

Kong's API gateway is a critical component in modern microservices architectures, and improving its traffic control capabilities to handle larger volumes of requests is essential for scalability and performance. I'll analyze the current situation, identify key pain points, and propose strategic solutions to enhance Kong's API gateway.

Step 1

Clarifying Questions (5 mins)

• Looking at the product context, I'm thinking about the specific use cases driving the need for improved traffic control. Could you share more about the types of applications or industries where Kong is seeing the highest demand for increased request handling?

Why it matters: Helps tailor solutions to specific user needs and prioritize features Expected answer: E-commerce and financial services with high-volume, real-time transactions Impact on approach: Would focus on solutions optimized for low-latency, high-concurrency scenarios

• Considering user behavior, I'm curious about the current bottlenecks in request handling. What are the most common performance issues reported by users when dealing with large volumes of requests?

Why it matters: Identifies specific areas for improvement in the traffic control system Expected answer: Increased latency and occasional request failures during peak loads Impact on approach: Would prioritize solutions that address latency and reliability under high load

• Regarding product lifecycle and company alignment, where does improving traffic control capabilities fit into Kong's overall product roadmap and business objectives?

Why it matters: Ensures proposed solutions align with company strategy and resource allocation Expected answer: High priority initiative to support enterprise customer growth and retention Impact on approach: Would focus on enterprise-grade solutions with emphasis on scalability and customization

• Considering external factors, how has the competitive landscape evolved in terms of API gateway traffic control capabilities? Are there any emerging technologies or approaches that Kong should be considering?

Why it matters: Identifies opportunities for differentiation and innovation Expected answer: Competitors are focusing on AI-powered traffic management and edge computing Impact on approach: Would explore integrating machine learning for predictive scaling and edge deployment options