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Spreading Apps, Controlling Traffic and Optimizing Costs in Kubernetes

CNCF [Cloud Native Computing Foundation] via YouTube

Overview

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Explore strategies for high availability, traffic management, and cost optimization in Kubernetes environments. Learn how to spread applications effectively, balance traffic across zones and regions, and automatically scale clusters while considering scheduling constraints and pod requirements. Discover the power of pod anti-affinity, Istio, and Karpenter in addressing challenges such as unscheduled downtime, performance degradation, and high costs due to unforeseen traffic demands. Gain insights into optimizing load balancing for unequal demands across different zones and regions, and managing cross-zone or cross-regional traffic costs efficiently.

Syllabus

Spreading Apps, Controlling Traffic & Optimising Costs in Kubernetes by Lukonde Mwila

Taught by

CNCF [Cloud Native Computing Foundation]

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