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1
Intro
2
Agenda
3
The Taylor Swift problem
4
Scaling with Kubernetes
5
KEDA overview
6
Application scaling with Karpenter
7
Solving our Taylor Swift problem
8
Key takeaways
9
Outro
Description:
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.

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

GOTO Conferences
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