Optimized system design for deploying and managing containerized workloads at scale

A system comprising:

• one or more processors;
• and
• at least one memory, the one or more processors and the at least one memory configured to:
• boot a device running a hypervisor;
• in response to booting the device:
• automatically obtain, by the device, one or more intended state configuration files from a server external to the device, the one or more intended state configuration files defining a control plane configuration for providing services for at least deploying and managing a containerized workload and workload configuration parameters for the containerized workload;
• deploy, in a control plane, a control plane pod configured according to the control plane configuration;
• deploy one or more worker nodes based on the control plane configuration;
• deploy an infrastructure controller configured to manage a state of the control plane;
• and
• deploy a runtime controller for the one or more worker nodes configured to manage a state of the one or more worker nodes, wherein:
• the infrastructure controller is deployed in the control plane;
• the runtime controller is deployed in an extension plane;
• and
• the control plane and the extension plane are logically separated planes;
• and
• deploy one or more workloads identified by the workload configuration parameters on the one or more worker nodes.

A non-transitory computer-readable medium comprising instructions that, when executed by one or more processors of a computing system, cause the computing system to perform operations for automatically deploying a containerized workload on a hypervisor based device, the operations comprising:

• booting the device running a hypervisor;
• in response to booting the device:
• automatically obtaining, by the device, one or more intended state configuration files from a server external to the device, the one or more intended state configuration files defining a control plane configuration for providing services for at least deploying and managing the containerized workload and workload configuration parameters for the containerized workload;
• deploying, in a control plane, a control plane pod configured according to the control plane configuration;
• deploying one or more worker nodes based on the control plane configuration;
• deploying an infrastructure controller configured to manage a state of the control plane;
• and
• deploying a runtime controller for the one or more worker nodes configured to manage a state of the one or more worker nodes, wherein:
• the infrastructure controller is deployed in the control plane;
• the runtime controller is deployed in an extension plane;
• and
• the control plane and the extension plane are logically separated planes;
• and
• deploying one or more workloads identified by the workload configuration parameters on the one or more worker nodes.