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Easegress is a cloud native API gateway, Kubernetes ingress controller, and service mesh control plane. It serves as a centralized entry point for managing network traffic, providing a dedicated control plane and sidecar data plane to handle the lifecycle and interception of requests between distributed services.
The main features of megaease/easegress are: Ingress Controllers, Centralized API Gateways, AI Gateways, Control and Data Plane Separation, Ingress Gateways, Proxy Filters, Service Mesh Control Planes, Service Meshes.
Projects with overlapping indexed features include: alibaba/higress — Higress is an AI API gateway and cloud-native traffic manager that functions as a Kubernetes ingress controller. It… apache/apisix — This project is a high-performance, distributed API gateway designed to manage, secure, and observe traffic for… higress-group/higress — Higress is an AI-native and cloud-native API gateway that routes, secures, and optimizes traffic between clients and… linkerd/linkerd2 — This project is a service mesh platform designed to manage, secure, and observe service-to-service communication… easegress-io/easegress — Easegress is a cloud-native traffic orchestration platform that functions as a multi-protocol API gateway and service… yudaocode/springboot-labs — SpringBoot-Labs is a collection of educational resources and reference implementations for Java backend architecture…
Higress is an AI API gateway and cloud-native traffic manager that functions as a Kubernetes ingress controller. It provides a centralized system for routing, securing, and optimizing traffic directed toward large language models, AI agents, and microservice architectures. The project distinguishes itself through deep AI orchestration, including the ability to host and manage Model Context Protocol servers that transform REST APIs into tools for AI agents. It features specialized AI infrastructure for model request proxying, protocol translation across multiple providers, and semantic-based c
This project is a high-performance, distributed API gateway designed to manage, secure, and observe traffic for microservices, serverless functions, and artificial intelligence model providers. It functions as a dynamic service proxy and cloud-native ingress controller, centralizing policy enforcement and traffic routing through a unified configuration interface that synchronizes state across multiple nodes in real time. The platform distinguishes itself through a highly extensible architecture that utilizes a high-performance scripting engine to execute modular logic directly within the requ
Higress is an AI-native and cloud-native API gateway that routes, secures, and optimizes traffic between clients and large language model services. It functions as a centralized entry point for microservices, serving as both a Kubernetes ingress controller and an AI gateway orchestrator. The project distinguishes itself by managing traffic across multiple AI providers using a unified protocol, incorporating token-aware rate limiting and response caching to optimize model inference. It coordinates communication between AI models and external tools to provide real-time context and data, while a
This project is a service mesh platform designed to manage, secure, and observe service-to-service communication within Kubernetes clusters. It functions as a control plane that orchestrates transparent sidecar proxies, which intercept and manage network traffic to provide reliable connectivity for microservices. By automating the injection of these proxies, the platform ensures that infrastructure-level policies are applied consistently across all workloads without requiring manual configuration changes. The platform distinguishes itself through its focus on zero-trust security and cross-clu