April Kong Bengaluru Meetup [In-person]

🤔 Kong is the cloud connectivity company for API & Microservices management. We are building a community of API & Microservices enthusiasts in Bengaluru through meetups.

Join us in our upcoming in-person meetup in Bengaluru in collaboration with Platformatory Labs, as we discuss API Gateways, Service Meshes, and all things Cloud Native. We have some exciting talks lined up and as usual, we'll have some great networking opportunities, trivia, swag and a tasty lunch!

📅 When: April 29 2023 10:30am - 2:00pm

📌Where: Razorpay Software Private Limited
🗺 Directions: https://goo.gl/maps/N3Wc5XVWVyn1LhkW9 (8th Floor, SJR Cyber, 22 Laskar Hosur Road, Adugodi, Bengaluru, 560030)

🕒 Schedule : 10:30am-2:00pm
10:00am-10:45am: Welcome and networking
10:45am-11:15am: Full-fledged Kong's Setup : The Other Way by Naman Bajpayi, Software engineer @ Palo alto networks
11:20am-11:50am: Web Assembly, Kong and building proxy plugins for the future by Pavan Keshavamurthy, Founder and CTO at Platformatory
11:50am-12:10pm: Kong Trivia!
12:15pm:12:45pm: Abuse protection and ensuring QoS for the clients by Manjunatha Shetty H, SDE 3 at Razorpay
12:45pm-1:00pm: Closing note
1:00pm-2:00pm: Lunch

🗣Talks:
Full-fledged Kong's Setup : The Other Way
Speaker: Naman Bajpayi, Software engineer @ Palo Alto Networks
About the talk: We will talk about Kong setup on AWS EKS having Terraform for configuration through GitOps, Konga for UI.
Key takeaway: Understanding a different way of deployment and configuration of Kong on AWS EKS.

Web Assembly, Kong and building proxy plugins for the future
Speaker: Pavan Keshavamurthy, Founder and CTO at Platformatory
About the talk: This session explores bleeding edge features from Kong incubator. We will touch upon on the great convergence of HTTP API middleware around a common interface and what it means to developers.

Abuse protection and ensuring QoS for the clients
Speaker: Manjunatha Shetty H, SDE 3 at Razorpay, working with API Gateway Team
About the talk: - Rate limiter at scale
- How we built automated system to react to abuse traffic
- How we isolate malicious user/ requests to maintain QoS