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• The hybrid model of running physical data centers and multi-cloud environments provides flexibility in workload management.
• The main challenge of remote control planes is the communication between the API server and in-cluster components.
• An external load balancer can be used to connect the API server pods to the agents.
• The use of open VPN tunnels or other networking solutions can be replaced by the external load balancer.
• There is an open PR for bi-directional tunneling.
• The main issues with this solution are misconfigured load balancers and sticky sessions.

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• The migration process is divided into three phases, with multiple steps in each phase to ensure the cluster state is protected and workloads are not impacted
• The first phase involves getting the cluster state from the non-HA control plane and building a snapshot for use in the second phase
• The second phase involves migrating the cluster state to the HA control plane, with traffic to the control plane shut down to prevent class data mutation
• The third phase involves confirming that everything is working properly and reopening traffic to the control plane
• The main focus throughout the migration process is on protecting the cluster state and ensuring minimal impact on workloads

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• Create diagrams that show the passage of time to represent Kubernetes clusters
• Use distributed tracing tools as a learning tool to identify errors and understand the system
• Build 3D models of Kubernetes clusters to help people develop a richer mental model of the system