Overview
Learn how to effectively manage event-driven workloads using Kubernetes, KEDA, and Karpenter in this conference talk from GOTO EDA Day Warsaw 2024. Using the Taylor Swift ERAS Tour ticket sales crash as a case study, explore how traditional autoscaling falls short during unpredictable traffic spikes and discover solutions for handling high-volume event processing. Master the implementation of Kubernetes-based Event Driven Autoscaler (KEDA) for trigger management and event response, while understanding how its integration with Karpenter creates a cost-effective scaling solution. Gain practical insights into real-time processing strategies, efficient workload management, and architectural approaches that help businesses better respond to customer interactions and traffic surges.
Syllabus
Intro
Agenda
The Taylor Swift problem
Scaling with Kubernetes
KEDA overview
Application scaling with Karpenter
Solving our Taylor Swift problem
Key takeaways
Outro
Taught by
GOTO Conferences