Kong API Gateway is a powerful open-source tool that helps you manage and secure your APIs. With Kong, you can easily control traffic, set up authentication and authorization, and implement rate limiting and caching for your APIs. Kong is also the creators of Kuma, an open source service mesh and Sandbox project of CNCF. We are building a community of API & Microservices enthusiasts in Chennai through meetups.
Join us in our first in-person meetup in Chennai, as we discuss API Gateways, Service Meshes, and all things Cloud Native. We have some exciting talks lined up, along with some great networking opportunities, trivia, swag👕!
In this hands-on workshop, we'll introduce you to the world of API Gateways and their significance in a microservice based architecture. We'll look at the Kong API Gateway and what makes it an excellent solution for managing and securing APIs at scale. The workshop will include setting up a Kong Gateway locally using Docker and explore the Kong ecosystem through its plugins.
Schedule
Name |
Speaker |
Start Time |
End Time |
Presentation |
Recording |
Welcome and Networking |
 |
9:15 AM |
9:30 AM |
 |
 |
Introduction to Kong and API Gateways |
Avinash Upadhyaya |
9:30 AM |
10:00 AM |
Slideshare |
 |
Hands-on workshop on getting started with Kong |
Lakshmi Narasimhan |
10:00 AM |
12:00 PM |
 |
 |
Lunch & Networking |
 |
12:00 PM |
12:30 PM |
 |
 |
Prerequisites
- Laptop for hands-on
- Docker and docker-compose (Strictly not necessary)
- If using Windows, we recommend WSL(https://learn.microsoft.com/en-us/windows/wsl/install) for the hands-on
Speakers
- Lakshmi Narasimhan Parthasarathy
Principal Engineer at Platformatory
- Avinash Upadhyaya
Platform Engineer at Platformatory
Agenda
- Introduction to API Gateways
- Why use an API Gateway
- Introduction to Kong
- Kong in the API Management world
- Kong terminologies
- Hands-on
- Setup kong with docker compose
- Create services, routes and consumers
- Plugins
- Key Auth
- Rate limting
- Request/Response Transformer
- Upstreams for load balancing
- Kong Deployment models
- Summary and Conclusion