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• Cluster Autoscaler's primary job is to ensure that all pods can schedule
• Metrics such as pending pod metrics are useful for monitoring Cluster Autoscaler's performance
• Cluster Autoscaler should be run on dedicated nodes or on the control plane VMs to prevent issues with scaling down
• Testing configurations before using them in production is recommended
• Ignoring certain flags can have significant side effects
• Auto scaling can vary significantly at scale and should be tested

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• A fully managed Kubernetes platform should still prioritize the power and flexibility of Kubernetes
• Simplifying the operation of the cluster should be the goal, not simplicity at the Kubernetes layer
• The platform should allow for bursting and support continued usage
• Node visibility should be maintained while hiding certain bits

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• GitLab.com needed to move from virtual machines to Kubernetes as they grew past 10 million projects hosted
• They used GKE to migrate stateless services and split regional GKE clusters into multiple zonal clusters for better network traffic control
• Multiple clusters allowed for more efficient maintenance procedures, testing cluster configurations, and mitigating incidents
• The solution may not work for everyone and network egress problems can occur in other workloads outside of Kubernetes