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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
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Key takeaways
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Outro
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it 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.

Scaling Event-Driven Architecture Workloads with Kubernetes, KEDA and Karpenter

GOTO Conferences
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