Kong is the most widely adopted API gateway and service mesh, powering the world’s APIs for modern architectures. Accelerate development and productivity today!
Features
- Unified API & AI Gateway — Kong provides a single platform to manage both traditional API traffic and modern AI/LLM workloads. It handles API calls, tokens, agents, and models in one place, eliminating fragmentation across your infrastructure. Includes support for rate limiting, dynamic caching, and semantic caching for AI workloads.
- AI Gateway & Agent Infrastructure — Purpose-built for the agentic era, Kong's AI Gateway manages LLM traffic, token budgets, context windows, and agent-to-agent (A2A) communication. Features include the Agent Gateway for governing agentic AI workflows, MCP (Model Context Protocol) production and consumption, and AI cost optimization through FinOps capabilities.
- Kong Insomnia API Development Suite — An integrated developer workspace for the full API lifecycle including API design, mocking, testing, debugging, and MCP client capabilities. Enables developers to build, deploy, and run agentic infrastructure from a single IDE-like environment.
- Event Gateway for Real-Time Streaming — Specialized gateway for event-driven architectures and Kafka event streaming. Enables platform teams to manage event traffic alongside traditional API and AI traffic, with solutions for Kafka cost optimization and stream API management.
- Kong Konnect Cloud Platform — A comprehensive cloud platform offering dedicated cloud gateways, runtime management, developer portals, service catalogs, API observability, and usage-based metering and billing. Supports hybrid and self-hosted deployment options for enterprise flexibility.
- Kubernetes-Native Service Mesh & Ingress — Includes Kong Mesh for service-to-service connectivity, Kubernetes Operator for container orchestration, and Ingress Controller for managing external access to services. Designed for cloud-native microservices architectures with full observability integration.
Use Cases
Enterprise API Platform Consolidation
Organizations managing fragmented API infrastructure across multiple gateways, legacy systems, and cloud providers use Kong to consolidate into a unified platform. This reduces operational complexity, lowers platform costs, and provides a single pane of glass for API governance, security, and observability across the entire organization. Target Audience: Platform engineering teams, CTOs, and IT leaders at large enterprises seeking to reduce API platform sprawl and operational overhead
Agentic AI Infrastructure & Governance
AI teams building LLM-powered applications and autonomous agents use Kong to govern A2A traffic, control token budgets, implement semantic caching, and manage MCP protocols. Kong provides the security, cost control, and observability needed to productionize AI workloads at scale while maintaining compliance. Target Audience: AI/ML engineers, AI platform teams, and organizations deploying production LLM applications and agentic workflows
Open Banking & Financial Services API Management
Financial institutions leverage Kong to build compliant open banking platforms, manage API monetization, and securely expose banking services to third-party developers. Kong's metering and billing capabilities enable usage-based pricing models for API products. Target Audience: Financial services companies, fintech developers, and banking technology teams requiring regulatory-compliant API infrastructure
Legacy API Management Migration
Enterprises migrating from legacy API management solutions (such as MuleSoft, Apigee, or IBM API Connect) adopt Kong as a modern, cloud-native alternative. Kong's plugin architecture and hybrid deployment options enable gradual migration while maintaining existing integrations. Target Audience: Enterprise architects and platform teams evaluating modernization of legacy middleware and API management infrastructure
Pros
- Unified platform eliminates fragmentation by managing APIs, LLMs, agents, events, and microservices traffic in a single solution, reducing operational complexity and tool sprawl
- Purpose-built for the AI era with native support for token management, semantic caching, context windows, MCP protocols, and agent-to-agent communication—capabilities competitors lack
- Cloud-native architecture with Kubernetes Operator, service mesh, and ingress controller designed for modern microservices and container orchestration environments
- Flexible deployment options including fully managed cloud (Konnect), self-hosted, and hybrid models to meet diverse enterprise requirements around data sovereignty and compliance
- Comprehensive developer experience with Kong Insomnia providing end-to-end API lifecycle management from design through testing, plus extensive plugin hub and developer portal
Cons
- Platform complexity can be overwhelming for small teams or simple use cases—Kong's extensive product portfolio (API Gateway, AI Gateway, Event Gateway, Mesh, Insomnia, Konnect) requires significant evaluation and onboarding effort
- Enterprise pricing and total cost of ownership may be prohibitive for startups or small businesses, as advanced features like dedicated cloud gateways, metering, and enterprise support are premium offerings
- Vendor lock-in risk increases as organizations adopt multiple Kong products across their stack, making future migration to alternative platforms more complex and costly
- Learning curve for advanced AI governance features—teams need to understand concepts like token budgets, semantic caching, MCP protocols, and agentic workflows to fully leverage the platform's AI capabilities
