It is compatible with the open-source gateway ecosystem, supporting smooth migration across multiple versions. Simultaneously, it fully adapts to AI ecosystem protocols, supporting standard protocols such as MCP and OpenAI, thereby achieving seamless integration between traditional applications and AI applications.
It is compatible with the open-source gateway ecosystem, supporting smooth migration across multiple versions. Simultaneously, it fully adapts to AI ecosystem protocols, supporting standard protocols such as MCP and OpenAI, thereby achieving seamless integration between traditional applications and AI applications.
Build a multi-layered security protection system that integrates security capabilities such as WAF, Anti-DDoS, identity authentication, and data encryption to meet Level Protection and industry compliance requirements.
Build a multi-layered security protection system that integrates security capabilities such as WAF, Anti-DDoS, identity authentication, and data encryption to meet Level Protection and industry compliance requirements.
It adopts a multi-AZ deployment architecture, supports automatic failover and health checks, provides 99.95% service availability, and ensures continuous and stable business operations.
It adopts a multi-AZ deployment architecture, supports automatic failover and health checks, provides 99.95% service availability, and ensures continuous and stable business operations.
It provides unified access and intelligent scheduling for multi-source models, enabling traditional business systems to access AI capabilities with zero modification through protocol conversion. It also supports intelligent routing based on cost, performance, and content, along with multi-model Fallback.
It provides unified access and intelligent scheduling for multi-source models, enabling traditional business systems to access AI capabilities with zero modification through protocol conversion. It also supports intelligent routing based on cost, performance, and content, along with multi-model Fallback.
It provides unified intelligent scheduling and governance for both north-south and east-west traffic, replacing self-built gateway clusters to ensure high availability and high performance for global traffic.
It provides unified intelligent scheduling and governance for both north-south and east-west traffic, replacing self-built gateway clusters to ensure high availability and high performance for global traffic.
It provides end-to-end analysis capabilities from user requests to backend services. By integrating multi-dimensional monitoring metrics with intelligent diagnostic analysis, it enables rapid fault localization and performance optimization.
It provides end-to-end analysis capabilities from user requests to backend services. By integrating multi-dimensional monitoring metrics with intelligent diagnostic analysis, it enables rapid fault localization and performance optimization.
It is compatible with the open-source gateway ecosystem, supporting smooth migration across multiple versions. Simultaneously, it fully adapts to AI ecosystem protocols, supporting standard protocols such as MCP and OpenAI, thereby achieving seamless integration between traditional applications and AI applications.
Build a multi-layered security protection system that integrates security capabilities such as WAF, Anti-DDoS, identity authentication, and data encryption to meet Level Protection and industry compliance requirements.
It adopts a multi-AZ deployment architecture, supports automatic failover and health checks, provides 99.95% service availability, and ensures continuous and stable business operations.
It provides unified access and intelligent scheduling for multi-source models, enabling traditional business systems to access AI capabilities with zero modification through protocol conversion. It also supports intelligent routing based on cost, performance, and content, along with multi-model Fallback.
It provides unified intelligent scheduling and governance for both north-south and east-west traffic, replacing self-built gateway clusters to ensure high availability and high performance for global traffic.
It provides end-to-end analysis capabilities from user requests to backend services. By integrating multi-dimensional monitoring metrics with intelligent diagnostic analysis, it enables rapid fault localization and performance optimization.
- Supports unified access and intelligent adaptation for multi-protocol terminal requests
- Achieve precise load balancing at a scale of tens of thousands of QPS through global load balancing and traffic-tiered scheduling
- Dynamic rate limiting protection ensures system stability
- Deeply integrated with the microservice gateway to enable fine-grained, end-to-end routing from the entry point to the service, ensuring the stability and high performance of critical business paths
- East-West intelligent traffic management: establishes an intelligent traffic management system, integrates with the service registry and configuration management center, and supports precise scheduling of service instances
- Real-time collection of service performance metrics; supports zero-impact deployment modes such as canary releases, blue-green deployments, and full-link canary releases
- A multi-layered, resilient fault-tolerance mechanism—incorporating strategies such as service circuit breaking, degradation, and retries—ensures that localized failures do not compromise the overall system availability
- Unified access and granular management for multiple models, supporting the integration of mainstream models such as Tencent Cloud Hunyuan, open-source models, and third-party models.
- A multi-dimensional cost optimization model balances performance requirements with cost-efficiency; it supports flexible billing methods—such as per-token or per-call pricing—to ensure service stability while achieving optimal costs.
- A service auto-registration and discovery mechanism that enables traditional applications to rapidly deploy AI capabilities.
- Provides comprehensive traffic management and monitoring safeguards to ensure a smooth and stable transformation process.
- By encapsulating AI capabilities through standardized interfaces, the complexity of integration is reduced, the timeline for implementing AI in business operations is significantly shortened, and existing enterprise IT investments are effectively protected.
- The access layer integrates security products such as WAF and DDoS protection.
- The application layer supports multiple fine-grained authentication systems and provides access control; for AI scenarios, it supports the desensitization of sensitive data to ensure content security.
- By encapsulating AI capabilities through standardized interfaces, the complexity of integration is reduced, the timeline for implementing AI in business operations is significantly shortened, and existing enterprise IT investments are effectively protected.
- At the audit layer, a comprehensive security logging system and audit process are established, alongside a multi-dimensional, all-encompassing monitoring and alerting system, enabling the rapid detection and handling of security incidents.
