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Kong: API Gateway from Zero to Hero
Rating: 4.5 out of 5(344 ratings)
6,230 students

Kong: API Gateway from Zero to Hero

Master the Art of API Management with Kong, Docker, Zipkin, Prometheus, Grafana, Elasticsearch, Kibana, Logstash, GenAI
Created byArnab Das
Last updated 3/2025
English

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

Course content

19 sections107 lectures6h 3m total length
  • Introduction to Kong2:54

    Discover Kong as a cloud native API gateway that serves as a centralized entry point and proxy between clients and backend services, handling authentication, rate limiting, and logging via plugins.

  • Features of Kong1:54

    Explore Kong gateway's features, including lightweight performance, cloud-native design, and extensible plugins for OAuth, JWT, and validation, while securing APIs and enabling multi-cloud visibility with AI capabilities.

  • Course Timeline1:12

    Explore Kong course timeline: install Kong with Docker, deploy to Kubernetes, use Kong admin UI and APIs to manage services, routes, and plugins; learn conga, authentication, logging, and Lua plugins.

  • What is Kong (Docs)0:37
  • About Me0:59

    Join a senior backend AIML full-stack developer who, after four years with Kong and grappling with scarce learning resources, created this course to simplify Kong concepts for future learners.

  • Coding Resources0:15
  • What is Kong API Gateway?

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