In a previous video, we created GKE clusters in Standard mode and Autopilot mode. In this episode of GKE Essentials, we learn how your workloads interact with nodes and pods for greater productivity and optimizing costs. Watch to learn how Google Kubernetes Engine can autoscale up to meet demand or scale down to optimize your costs.
Chapters:
0:00 - Intro
0:39 - The Challenge of Using Resources Efficiently (Binpacking)
2:07 - The 4 Dimensions of GKE Autoscaling
5:23 - Additional Cost Optimization Resources
5:41 - Recap
Best practices for running cost-optimized Kubernetes applications on GKE → [ Ссылка ]
Cost optimization on Google Cloud → [ Ссылка ]
GKE Cost Optimization Playlist → [ Ссылка ]
Hands-On! → [ Ссылка ]
Check out more GKE Essentials → [ Ссылка ]
Subscribe to Google Cloud Tech → [ Ссылка ]
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product: Cloud - Containers - Google Kubernetes Engine (GKE); fullname: Kaslin Fields;
Introduction to GKE Autoscaling
Теги
purpose: Educatepr_pr: Google Cloudseries: GKE Essentialstype: DevByte (deck from scratch 0-10min)GDS: YesGKEkubernetesgoogle kubernetes enginegke essentialshow to optimize gke costsgke autoscalingbinpackingbinpacking not workingfour dimensions gkeHorizontal Pod AutoscalingVertical Pod AutoscalingCluster AutoscalerAuto Provisionergke scalabilityinfrastructure autoscalerskubernetes developercontainersKaslin Fields