Kong
What is Kong?
Kong is a cloud-native API and microservices management platform that acts as a middleware layer between backend services and clients. Its core mission is to help organizations eliminate fragmented API and AI traffic by providing a highly performant unified connectivity solution. It allows engineering teams to secure, manage, and scale APIs, orchestrate AI agents, and gain deep observability into their enterprise systems. Kong serves tech-driven organizations by offering powerful tools like Kong Gateway, Kong Mesh, and Kong AI Gateway. These solutions empower developers to handle large microservices architectures, enforce robust security policies, and manage complex AI workloads efficiently.
How to use Kong?
To use Kong, users can deploy the open-source Kong Gateway on their own infrastructure via Docker or Kubernetes, or utilize the fully-managed Kong Konnect cloud platform. Once the control plane is set up, developers register their backend application services and define routing pathways so Kong can intercept and direct incoming client traffic. From the dashboard or declarative configuration files, users can then easily enforce security, traffic control, and monitoring by applying Kong's extensive library of built-in plugins—such as authentication, rate limiting, and AI token management—directly to their endpoints.
Kong's Core Features
API Gateway: A highly performant reverse proxy that routes and manages enterprise API requests seamlessly.
AI Gateway: Native tools to securely govern, monitor, and optimize LLM connections and AI agents.
Plugin Architecture: An extensive library of pre-built plugins to instantly add authentication, logging, and rate limiting.
Service Mesh: Advanced traffic control, security, and observability for internal microservices communication.
Metering & Billing: Built-in monetization tools and cost tracking for API usage and AI LLM tokens.
Centralized Observability: Deep analytics and real-time monitoring to optimize API performance and eliminate bottlenecks.
Kong's Use Cases
- #1
Managing and securing high-volume API traffic across complex microservices architectures.
- #2
Governing, securing, and monetizing AI agent traffic and LLM API usage.
- #3
Implementing rate limiting and strict access controls to prevent API abuse.
- #4
Seamlessly connecting and routing API requests in hybrid or multi-cloud environments.
- #5
Providing centralized observability and cost analytics for API and AI performance.
Frequently Asked Questions
Analytics of Kong
Monthly Visits Trend: Jun 2025 - Jul 2026
Traffic Sources
AI Channel Traffic Trends
Top Regions
| Region | Traffic Share |
|---|---|
| United States | 24.76% |
| India | 12.65% |
| China | 4.64% |
| Thailand | 3.38% |
| Brazil | 3.30% |
Top Keywords
| Keyword | Traffic | CPC |
|---|---|---|
| kong | 50.6K | $0.45 |
| kong api | 4.2K | $12.77 |
| kong ai gateway | 2.2K | -- |
| kong api gateway | 6.4K | $4.96 |
| kong gateway | 5.5K | $5.87 |
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