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The article provides a comprehensive overview of the AI Gateway product, detailing its evolution, core capabilities across model, tool, and agent access, security features, the open‑source HiMarket platform, and the new Serverless edition that dramatically lowers entry costs for AI workloads.
Since 2024, AI gateways have shifted from static rule‑based routers to flexible platforms that support multi‑model traffic scheduling, smart routing, agent and MCP service management, and AI governance, driven by new tools like Tinker, OpenAI's Apps SDK, and emerging video generation technologies.
This guide explains how to address high deployment costs, slow iteration, and poor manageability of MCP Server by using Alibaba Cloud Function Compute for serverless execution and MSE Nacos Enterprise for automatic registration, dynamic configuration, and unified service governance.
The article explains how a configuration‑driven, cloud‑native architecture with independent runtime agents solves performance isolation, availability, scalability, security, and technology heterogeneity problems of low‑code platforms, and introduces a unified Agent Spec, Agent Studio, execution engine, A2A protocol, and dynamic governance to enable enterprise‑grade AI deployments.
This guide explains how Alibaba Cloud AI Gateway provides traffic management, passive health checks, first‑packet timeout, and fallback mechanisms to keep large language model services highly available during traffic spikes and overload scenarios.
The article examines how AI application infrastructure is shifting from traditional always‑on, stateless deployments to serverless models that balance cost, scalability, and stateful conversational needs, outlining architectural challenges, evolution stages, and emerging solutions such as external state storage, session‑affinity scheduling, durable functions, and session‑oriented runtimes.
This guide explains how to quickly deploy the open‑source Dify AI platform on Alibaba Cloud's Serverless Application Engine, covering the challenges of private deployment, the benefits of SAE's one‑click solution, and detailed step‑by‑step configuration to achieve a production‑grade AI service.
From the early days of per‑hour VM rentals to today’s millisecond‑granular, resource‑aware pricing, serverless function compute has transformed its billing models across three stages, each driven by advances in request boundary detection, concurrency handling, and AI‑centric resource consumption, aligning cost with actual usage.
In the AI era, massive interaction data drives rapid smart‑app growth, but personal privacy risks demand robust data‑masking; Alibaba Cloud Log Service (SLS) introduces a versatile mask function that replaces complex regex pipelines with concise configurations, boosting performance, reducing maintenance, and meeting strict compliance such as GDPR and China’s Personal Information Protection Law.
This guide explains how to connect Alibaba Cloud's Cloud Effect AppStack with the Serverless Application Engine (SAE), covering role creation, trust policy configuration, service connection setup, cluster linking, application template usage, deployment orchestration, and pipeline execution to achieve low‑cost, high‑quality, and efficient continuous delivery.
