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A high-performance, cloud-native API Gateway specifically designed for managing both traditional APIs and AI/ML model inference services. Provides robust traffic management, security, and observability features for modern distributed systems.
kgateway is an open-source, cloud-native gateway engineered to streamline the management and accessibility of both standard APIs and AI inference services within distributed environments. It leverages modern cloud paradigms for scalability and resilience.
Managing APIs and integrating AI models into cloud-native architectures presents challenges in terms of scalability, security, complexity, and consistent access. kgateway solves these by providing a unified, cloud-native control plane.
Provides advanced routing, load balancing, and traffic control for microservices and backend APIs.
Acts as a secure and scalable proxy for deploying and managing AI model inference endpoints.
Includes built-in authentication, authorization, and rate limiting capabilities.
kgateway can be applied in various scenarios requiring robust API management and integrated AI service access in cloud-native environments.
Centralize management, security, and traffic control for APIs exposed by various microservices.
Improved governance, enhanced security, and easier scaling of distributed APIs.
Provide a single, managed entry point for accessing deployed AI/ML model inference services.
Simplified integration for client applications and better control over AI service usage.
Expose internal services or AI models securely to external partners or public internet with controlled access.
Enhanced security posture and fine-grained access control for external consumption.
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