Runtime customization of nodes for network function deployment
Some embodiments provide a method that generates (i) a node profile of a worker node in a workload cluster for deploying a first network function and (ii) a host profile of a virtual machine that implements the workload cluster and a management cluster that manages the workload cluster. The method updates a configuration map of the worker node based on the node profile. The method uses a node configuration operator in a remote data center to configure the worker node based on the configuration map. The method uses a virtual machine configuration operator in the remote data center to configure one or more nodes of the management cluster based on the host profile.
1 . A method comprising:
generating (i) a node profile of a worker node in a workload cluster for deploying a first network function and (ii) a host profile of a virtual machine that implements the workload cluster and a management cluster that manages the workload cluster;
updating a configuration map of the worker node based on the node profile;
using a node configuration operator in a remote data center to configure the worker node based on the configuration map; and
using a virtual machine configuration operator in the remote data center to configure one or more nodes of the management cluster based on the host profile;
wherein the workload cluster is selected from a plurality of workload clusters based on a mapping between Cluster Automation Policies (CAPs) and cluster templates, each CAP being associated with a type of intended usage and each cluster template defining configuration and available resources associated with a cluster, the configuration matching an infrastructure requirement including processing capacity and memory capacity.
2 . The method of claim 1 , wherein the virtual machine configuration operator configures one or more virtual machines implementing the workload cluster.
3 . The method of claim 1 , wherein the virtual machine configuration operator on figures virtual machines of the workload cluster to meet a requirement of the first network function.
4 . The method of claim 1 , wherein the virtual machine configuration operator configures virtual machines of the management cluster and the workload cluster according to a customized resource definition provided by the host profile.
5 . The method of claim 1 , wherein the virtual machine configuration operator discovers hardware capabilities of host machines of virtual machines.
6 . The method of claim 1 , wherein the first network function is a containerized network function.
7 . The method of claim 1 , wherein the host profile includes a configuration data set for multiple virtual machines, wherein the virtual machine configuration operator creates configuration data for individual virtual machines based on the host profile.
8 . The method of claim 1 further comprising using the virtual machine configuration operator to configure a virtual machine to implement a second network function that is not a containerized network function without using the node configuration operator.
9 . The method of claim 1 , wherein the management cluster and the workload cluster share at least one namespace for the virtual machine configuration operator and the node configuration operator.
10 . The method of claim 1 , wherein the virtual machine configuration operator and the node configuration operator are in a same namespace.
11 . The method of claim 1 , wherein the host profile comprises a custom resource definition that is a configuration set for multiple virtual machines, wherein the virtual machine operator uses the configuration set to create corresponding configuration data for the multiple virtual machines that are encompassed by the configuration set.
12 . The method of claim 1 , wherein the workload cluster is a Kubernetes cluster that includes a master node and a plurality of worker nodes, wherein the master node controls and manages the worker nodes of the cluster and act as the frontend of the cluster and a workload of the cluster is distributed among the worker nodes.
13 . The method of claim 1 , wherein the node configuration operator runs as a daemon in the worker node.
14 . A non-transitory machine-readable medium storing a program for execution by at least one processing unit, the program comprising sets of instructions for:
generating (i) a node profile of a worker node in a workload cluster for deploying a first network function and (ii) a host profile of a virtual machine that implements the workload cluster and a management cluster that manages the workload cluster;
updating a configuration map of the worker node based on the node profile;
using a node configuration operator in a remote data center to configure the worker node based on the configuration map; and
using a virtual machine configuration operator in the remote data center to configure one or more nodes of the management cluster based on the host profile;
wherein the workload cluster is selected from a plurality of workload clusters based on a mapping between Cluster Automation Policies (CAPs) and cluster templates, each CAP being associated with a type of intended usage and each cluster template defining configuration and available resources associated with a cluster, the configuration matching an infrastructure requirement including processing capacity and memory capacity.
15 . The non-transitory machine-readable medium of claim 14 , wherein the virtual machine configuration operator configures one or more virtual machines implementing the workload cluster.
16 . The non-transitory machine-readable medium of claim 14 , wherein the virtual machine configuration operator configures virtual machines of the workload cluster to meet a requirement of the first network function.
17 . The non-transitory machine-readable medium of claim 14 , wherein the virtual machine configuration operator configures virtual machines of the management cluster and the workload cluster according to a customized resource definition provided by the host profile.
18 . The non-transitory machine-readable medium of claim 14 , wherein the virtual machine configuration operator discovers hardware capabilities of host machines of virtual machines.
19 . The non-transitory machine-readable medium of claim 14 , wherein the host profile includes a configuration data set for multiple virtual machines, wherein the virtual machine configuration operator creates configuration data for individual virtual machines based on the host profile.
20 . The non-transitory machine-readable medium of claim 14 , wherein the management cluster and the workload cluster share at least one namespace for the virtual machine configuration operator and the node configuration operator.
21 . The non-transitory machine-readable medium of claim 14 , wherein the host profile comprises a custom resource definition that is a configuration set for multiple virtual machines, wherein the virtual machine operator uses the configuration set to create corresponding configuration data for the multiple virtual machines that are encompassed by the configuration set.
22 . The non-transitory machine-readable medium of claim 14 , wherein the workload cluster is a Kubernetes cluster that includes a master node and a plurality of worker nodes, wherein the master node controls and manages the worker nodes of the cluster and act as the frontend of the cluster and a workload of the cluster is distributed among the worker nodes.
23 . An electronic device comprising:
a set of processing units; and
a non-transitory machine-readable medium storing a program for execution by at least one of the processing units, the program comprising sets of instructions for:
generating (i) a node profile of a worker node in a workload cluster for deploying a first network function and (ii) a host profile of a virtual machine that implements the workload cluster and a management cluster that manages the workload cluster;
updating a configuration map of the worker node based on the node profile;
using a node configuration operator in a remote data center to configure the worker node based on the configuration map; and
using a virtual machine configuration operator in the remote data center to configure one or more nodes of the management cluster based on the host profile;
wherein the workload cluster is selected from a plurality of workload clusters based on a mapping between Cluster Automation Policies (CAPs) and cluster templates, each CAP being associated with a type of intended usage and each cluster template defining configuration and available resources associated with a cluster, the configuration matching an infrastructure requirement including processing capacity and memory capacity.