Unified Access for Microservice Traffic
Cloud Native Gateway serves as the north-south traffic entry point for cloud-based microservices architectures. It uniformly receives external requests and performs intelligent scheduling. The gateway integrates capabilities such as request distribution, API management, traffic monitoring, and access control. It connects to various service sources including TSF, TKE, SCF, and CVM, helping enterprises build high-performance, highly available business gateways.
Security Protection and Authentication
Cloud Native API Gateway functions as a security gateway, providing multi-layered security protection and authentication/authorization capabilities. It supports integration with Tencent Cloud Web Application Firewall (WAF) and DDoS protection services. The gateway also supports various authentication methods, including user password, Key-based authentication, JWT, and OAuth2, as well as custom authorization. Additionally, it supports access control via IP address allowlists and blocklists, safeguarding API security.
Canary Release and Traffic Governance
Cloud Native Gateway provides open-source enhanced traffic governance capabilities, including rate limiting, canary release, circuit breaking, and traffic mirroring. It supports integration with Polaris to achieve end-to-end canary release. This helps enterprises better implement scenarios such as canary release and multi-environment management, ensuring smooth business deployment.
Unified Governance and Intelligent Scheduling for Multi-Model Systems
AI Gateway serves as a unified ingress, enabling visual access and management for multiple models. Through intelligent routing policies, it automatically selects the appropriate model based on factors such as request content, model performance, and cost. Combined with rate limiting and circuit breaking mechanisms, it ensures service stability. This helps enterprises address challenges in multi-model usage scenarios, such as complex model management, resource allocation, and cost control, thereby optimizing resource allocation and cost management.
AI Transformation for Legacy Business Systems
AI Gateway uses a protocol conversion engine to automatically wrap the standard APIs provided by legacy business systems into standardized tools (MCP Tools) that can be invoked by AI applications. This enables the AI-enabling of business capabilities and significantly reduces code modification efforts. Developers can quickly build intelligent applications without needing to focus on underlying integration details, allowing the value of legacy systems to be further unlocked in the AI era.