Scaling EDA Workloads with Kubernetes, KEDA and Karpenter - Handling Event-Driven Traffic

Explore event-driven architecture (EDA) and scalable solutions in this conference talk from GOTO EDA Day 2024. Learn how to manage high-traffic workloads using Kubernetes, KEDA (Kubernetes-based Event Driven Autoscaler), and Karpenter. Discover strategies for handling unpredictable event volumes, improving efficiency, and reducing costs in IT systems. Gain insights into real-world applications, including the challenges faced during high-demand events like concert ticket sales. Examine the integration of EDA principles with Kubernetes-based solutions to create responsive, scalable architectures. Understand the benefits of combining KEDA and Karpenter for optimal resource management and cost-effectiveness. Apply these concepts to build robust systems capable of handling traffic spikes and ensuring seamless user experiences.

Intro
Agenda
The Taylor Swift problem
Scaling with Kubernetes
KEDA overview
Application scaling with Karpenter
Solving our Taylor Swift problem
Key takeaways
Outro