Spreading Apps, Controlling Traffic and Optimizing Costs in Kubernetes

Spreading Apps, Controlling Traffic and Optimizing Costs in Kubernetes

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.