Kong: API Gateway from Zero to Hero

Contents

What You’ll Learn Requirements Description Who this course is for:

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.