kube-controller-manager
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The Controller Manager, composed of the kube-controller-manager and the cloud-controller-manager, serves as the brain of Kubernetes. It keeps tabs on the overall state of the cluster through the apiserver and ensures that the cluster maintains its desired working condition.
The kube-controller-manager integrates a set of controllers such as:
Replication Controller
Node Controller
CronJob Controller
Daemon Controller
Deployment Controller
Endpoint Controller
Garbage Collector
Namespace Controller
Job Controller
Pod AutoScaler
ReplicaSet
Service Controller
ServiceAccount Controller
StatefulSet Controller
Volume Controller
Resource Quota Controller
The cloud-controller-manager only becomes necessary when the Cloud Provider feature in Kubernetes is enabled. It works in harmony with the controls provided by cloud service providers and also contains a number of controllers, such as:
Node Controller
Route Controller
Service Controller
The Controller Manager Metrics provide performance readings for the internal logic of the controllers, such as runtime metrics of the Go language, latencies of requests to etcd, cloud service provider API, and cloud storage. By default, these metrics are accessible on port 10252 of the kube-controller-manager and can be retrieved in Prometheus format from http://localhost:10252/metrics.
Command Example:
The kube-controller-manager is made up of a bunch of controllers that can be divided into three groups:
Controllers that must be initiated
Endpoint Controller, Replication Controller, PodGc Controller, etc.
Optional controllers that are typically initiated; activation can be controlled by user options
Token Controller, Node Controller, Service Controller, etc.
Optional controllers that are typically not initiated; activation can be controlled by user options
Bootstrap Signer Controller, Token Cleaner Controller
When Kubernetes has the Cloud Provider feature enabled, the cloud-controller-manager is required to help manage cloud service providers and incorporates a series of controllers such as:
CloudNodeController
RouteController
ServiceController
When --leader-elect=true is set at startup, the controller manager employs a multi-node elective leader approach to select the master node. Only the master node will call StartControllers() to initiate all controllers, while the rest will only participate in the leader election.
By default, Kubelet updates the Node status every 10 seconds, while the kube-controller-manager checks the Node status every 5 seconds. If a Node's status isn't updated for 40 seconds, the kube-controller-manager will mark it as NotReady and if there's no update for over 5 minutes, it'll evict all Pods on this Node.
Kubernetes automatically adds tolerations for node.kubernetes.io/not-ready and node.kubernetes.io/unreachable to Pods with tolerationSeconds=300 configured. You can overwrite the default configuration by setting Pod's tolerations:
Example of Pod toleration settings:
After a Node anomaly, the Node controller evicts the Node at a default rate (--node-eviction-rate=0.1, meaning one node per 10 seconds). The Node controller divides nodes into different groups based on Zones and adjusts the rate according to Zone status:
Normal: All Nodes are Ready, evicted at a default rate.
PartialDisruption: Over 33% of Nodes are NotReady. When the abnormal Node ratio exceeds --unhealthy-zone-threshold=0.55, the rate begins to slow down.
FullDisruption: All Nodes are NotReady, returning to use the default eviction rate. But when all Zones are in FullDisruption, eviction is halted.
Starting from v1.6, the cloud provider has undergone several significant refactoring in order to build customized cloud service provider support without modifying the core code of Kubernetes. Refer to learn how to build a new Cloud Provider.
Starting from Kubernetes 1.7, all resource monitoring calls are recommended to use . Informer offers an event-notification-based read-only cache mechanism and allows for the registration of change callbacks, remarkably reducing API calls.
The utilization method of Informer can be referred to .
