GKE Workload Optimization
Key Takeaways
Demonstrates workload optimization strategies in Google Kubernetes Engine for cost and resource efficiency
Original Description
This is a self-paced lab that takes place in the Google Cloud console. This lab demonstrates how optimization in your cluster's workloads can lead to an overall optimization of your resources and costs. It walks through a few different workload optimization strategies such as container-native load balancing, application load testing, readiness and liveness probes, and pod disruption budgets.
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