Kong
A cloud-native, high-performance API and AI Gateway for orchestrating microservices, LLM, and MCP traffic with extensible plugins.
What is Kong?
Kong Gateway is a cloud-native, platform-agnostic gateway that manages and secures API, AI (LLM), and MCP traffic. It solves the complexity of orchestrating microservices and AI workloads by providing advanced routing, load balancing, authentication, and extensibility through plugins. It acts as a central layer for traffic management across diverse architectures.
Platform engineers, DevOps teams, and developers building microservices architectures or integrating multiple AI/LLM providers who need a scalable, unified gateway solution.
Developers choose Kong for its high performance, extensive plugin ecosystem, and flexibility in deployment (including hybrid and DB-less modes). It uniquely combines traditional API gateway features with advanced AI traffic capabilities, supporting multiple LLM providers and MCP governance without vendor lock-in.
Overview
🦍 The API and AI Gateway
Use Cases
Best For
- Orchestrating microservices with centralized authentication and rate limiting
- Managing and securing traffic across multiple AI/LLM providers (OpenAI, Anthropic, AWS Bedrock)
- Implementing Kubernetes ingress control with advanced routing rules
- Adding extensible functionality via custom plugins in Lua, Go, or JavaScript
- Deploying a high-performance gateway in hybrid or DB-less modes
- Governing MCP (Model Context Protocol) traffic with security and observability
Not Ideal For
- Projects needing only basic HTTP reverse proxying without API management features
- Teams with limited DevOps resources who prefer fully managed, serverless gateways like AWS API Gateway
- Use cases where every millisecond of latency is critical and a lightweight proxy like NGINX is sufficient
- Environments exclusively using gRPC or WebSockets without requiring Kong's broader plugin ecosystem
Pros & Cons
Pros
Over 60 plugins for authentication, rate limiting, and logging, with support for Lua, Go, and JavaScript development, enabling deep customization as highlighted in the Plugin Hub.
Unique universal LLM API support for multiple providers (OpenAI, Anthropic, etc.) and MCP governance, offering semantic security and routing for AI traffic, a standout feature among gateways.
Supports declarative databaseless deployment, hybrid mode with control/data plane separation, and native Kubernetes ingress controller, providing deployment flexibility without vendor lock-in.
Designed as cloud-native with advanced routing, load balancing, and SSL/TLS termination for L4/L7 traffic, ensuring scalability for high-volume microservices and AI workloads.
Cons
Requires familiarity with the Admin API, declarative configs, and plugin lifecycle, making it more complex to set up and maintain compared to simpler gateways like NGINX.
The feature-rich nature and plugin architecture can lead to higher memory and CPU usage, especially with multiple plugins enabled, impacting performance in resource-constrained environments.
Involves a multi-component setup (e.g., databases in docker-compose) and deep understanding of Kong-specific concepts, which can be overwhelming for quick adoption.
Frequently Asked Questions
Related Projects
EnvoyCloud-native high-performance edge/middle/service proxy
PingoraA library for building fast, reliable and evolvable network services.
zuulZuul is a gateway service that provides dynamic routing, monitoring, resiliency, security, and more.
BunkerWeb🛡️ Open-source and cloud-native Web Application Firewall (WAF)
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.