Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

CNCF [Cloud Native Computing Foundation]

Maximizing Global Potential - Cost-Optimized, High-Availability Workloads Across Regions

CNCF [Cloud Native Computing Foundation] via YouTube

Overview

Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Learn how to design and implement cost-optimized, high-availability workloads across multiple regions and cloud providers in this 31-minute conference talk from CNCF. Discover strategies for running compute-intensive stateless workloads like AI inference and video encoding by distributing them across regions to optimize both cost and availability while avoiding resource shortages in single regions. Explore multi-cluster scheduling techniques and Karpenter's dynamic provisioning capabilities across preemptible and non-preemptible node VMs, and understand how to integrate with cloud providers' pricing and availability APIs for unified cost-efficient scheduling and autoscaling. Master traffic routing strategies to maintain service responsiveness and efficiency regardless of pod location, and gain insights into building resilient multi-cloud architectures that adapt to fluctuating costs while ensuring seamless workload execution.

Syllabus

Maximizing Global Potential: Cost-Op... Wei Jiang, Jingkang Jiang, Michael McCune & Praseeda Sathaye

Taught by

CNCF [Cloud Native Computing Foundation]

Reviews

Start your review of Maximizing Global Potential - Cost-Optimized, High-Availability Workloads Across Regions

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.