Kong 3实战：API网关与多LLM调度及可观测性运维

本课程围绕Kong API网关，实战讲解流量治理、安全认证与多大语言模型调度，并整合Zipkin、Prometheus、Grafana和ELK Stack，构建全栈可观测性体系，助你掌握企业级API性能调优。

原始标题：Kong 3: API Gateway from Zero to Hero

该课程是一门围绕 Kong API 网关展开的生产级微服务与大模型架构实战课，重点涵盖流量治理、安全认证屏障以及前沿的多大语言模型流量调度。同时，课程构建了整合 Zipkin、Prometheus、Grafana 和 ELK Stack 的全栈可观测性运维体系，帮助开发者全面掌握 API 性能调优与企业级管理。

这门课最大的价值在于将 API 网关、微服务治理、可观测性观测（Observability） 以及最新的 AI 网关融为了一体：

API 核心流量层：以 Kong 为核心网关，利用 Docker 容器化部署，并通过 Konga 模块进行可视化 UI 管理。

多链路监控与可观测性（Observability）：

• Zipkin：负责微服务之间的分布式链路追踪（Tracing），定位请求卡点。
• Prometheus + Grafana：负责收集性能指标（Metrics）并生成酷炫的运维监控大屏。
• ELK Stack (Elasticsearch, Logstash, Kibana)：负责海量 API 访问日志（Logs）的聚合、检索与分析。

前沿 AI 网关（GenAI）：这是该课程区别于传统网关课的亮点，讲解如何利用 Kong 管理**多大语言模型（Multi-LLM）**的 API 路由、限流和安全接入。

Published 9/2026
Created by Arnab Das
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English + subtitle | Duration: 107 Lectures ( 6h 3m ) | Size: 1.9 GB

Master the Art of API Management with Kong, Docker, Zipkin, Prometheus, Grafana, Elasticsearch, Kibana, Logstash, GenAI

What you’ll learn
⚡ Introduction: Understand the benefits of using Kong in our full-stack application
⚡ Fundamentals of API Management: Understanding the basics of APIs and how Kong API Gateway facilitates their management
⚡ Installation and Configuration: How to install Kong API Gateway and configure it for different environments
⚡ Managing Services and Routes: Creating and managing services and routes within Kong
⚡ Securing APIs: Implementing security measures such as authentication, authorization, and encryption to protect APIs
⚡ Learn AI Gateway with Multi-LLM Support: For Generative AI Developers
⚡ Traffic Control: Techniques for controlling and optimizing the flow of API traffic, including rate limiting and load balancing
⚡ Monitoring and Analytics: Setting up monitoring tools to track API performance and analyze usage data
⚡ Plugin Development: Learning how to extend Kong’s functionality with custom plugins written in Lua
⚡ Best Practices: Understanding best practices for API management and operations within Kong

Requirements
❗ No programming experience is required, You will learn everything you need to know

Description
In this course, you will learn Kong, Kong API Gateway is a powerful tool for managing APIs in a microservices architecture. Here are some common use cases for Kong API Gateway and things we are going to cover in this course.

✨Installing Kong: Installing Kong via Docker

✨Interacting with Kong via Konga: Open-Source GUI to Kong Admin API

✨Interacting Kong via REST API: create services, Routes, Consumers, and plugins in Kong via REST APIs.

✨Microservices Abstraction: It acts as a single entry point for all backend services, simplifying the development, deployment, and management of systems.

✨Security and Authentication: Kong can manage security concerns like SSL/TLS termination, OAuth2.0, JWT, API keys, and more, ensuring secure access to your services.

✨Traffic Control: With features like rate limiting, request size limiting, and circuit breakers, Kong helps control the traffic flow to your services.

✨Analytics and Monitoring: Kong provides real-time analytics and monitoring capabilities, allowing you to track API performance and usage patterns.

✨AI Gateway with Multi-LLM Support:This allows developers who want to integrate one or more LLMs into their products to be more productive and ship AI capabilities faster while offering a solution to architects and platform teams that ensures visibility, control, and compliance on every AI request sent by the teams. And because it’s built on top of Kong Gateway, it will be possible to orchestrate AI flows in the cloud or on self-hosted LLMs with the best performance and the lowest latency, which are critical in AI-based applications.

✨High Availability: Kong supports clustering for high availability, ensuring that the API gateway remains operational even if some nodes fail.

✨Load Balancing: It can distribute incoming API traffic across multiple backend services, improving performance and reliability.

✨Request and Response Transformations: Kong can modify requests and responses on the fly, such as adding, removing, or modifying headers.

✨Decoupling: By decoupling the client-facing API endpoints from the underlying microservice architecture, Kong allows for seamless updates and changes to the services without affecting the clients.

✨Extending Kong via Creating Custom Plugins in Lua:Creating custom plugins in Lua for Kong API Gateway allows you to extend its functionality to suit your specific needs.

✨Learn Lua (Optional): We are going to learn Lua Programming Language.

Who this course is for
⭐ DevOps Engineer
⭐ Backend Developers
⭐ Full-Stack Developers
⭐ Cyber Security Expert

⭐ DevOps