Within OpenShift Container Platform, Kubernetes manages containerized applications across a set of containers or hosts and provides mechanisms for deployment, maintenance, and application-scaling. The Docker service packages, instantiates, and runs containerized applications.
A Kubernetes cluster consists of one or more masters and a set of nodes. You can optionally configure your masters for high availability (HA) to ensure that the cluster has no single point of failure.
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OpenShift Container Platform 3.4 uses Kubernetes 1.4 and Docker 1.12. |
The master is the host or hosts that contain the master components, including the API server, controller manager server, and etcd. The master manages nodes in its Kubernetes cluster and schedules pods to run on nodes.
| Component | Description |
|---|---|
API Server |
The Kubernetes API server validates and configures the data for pods, services, and replication controllers. It also assigns pods to nodes and synchronizes pod information with service configuration. Can be run as a standalone process. |
etcd |
etcd stores the persistent master state while other components watch etcd for changes to bring themselves into the desired state. etcd can be optionally configured for high availability, typically deployed with 2n+1 peer services. |
Controller Manager Server |
The controller manager server watches etcd for changes to replication controller objects and then uses the API to enforce the desired state. Can be run as a standalone process. Several such processes create a cluster with one active leader at a time. |
HAProxy |
Optional, used when configuring
highly-available masters with the The advanced
installation method can configure HAProxy for you with the |
You can optionally configure your masters for high availability (HA) to ensure that the cluster has no single point of failure.
To mitigate concerns about availability of the master, two activities are recommended:
A runbook entry should be created for reconstructing the master. A runbook entry is a necessary backstop for any highly-available service. Additional solutions merely control the frequency that the runbook must be consulted. For example, a cold standby of the master host can adequately fulfill SLAs that require no more than minutes of downtime for creation of new applications or recovery of failed application components.
Use a high availability solution to configure your masters and ensure that the cluster has no single point of failure. The advanced installation method
provides specific examples using the native HA method and configuring HAProxy.
You can also take the concepts and apply them towards your existing HA solutions
using the native method instead of HAProxy.
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Moving from a single master cluster to multiple masters after installation is not supported. |
When using the native HA method with HAProxy, master components have the
following availability:
| Role | Style | Notes |
|---|---|---|
etcd |
Active-active |
Fully redundant deployment with load balancing |
API Server |
Active-active |
Managed by HAProxy |
Controller Manager Server |
Active-passive |
One instance is elected as a cluster leader at a time |
HAProxy |
Active-passive |
Balances load between API master endpoints |
A node provides the runtime environments for containers. Each node in a Kubernetes cluster has the required services to be managed by the master. Nodes also have the required services to run pods, including the Docker service, a kubelet, and a service proxy.
OpenShift Container Platform creates nodes from a cloud provider, physical systems, or virtual systems. Kubernetes interacts with node objects that are a representation of those nodes. The master uses the information from node objects to validate nodes with health checks. A node is ignored until it passes the health checks, and the master continues checking nodes until they are valid. The Kubernetes documentation has more information on node management.
Administrators can manage nodes in an OpenShift Container Platform instance using the CLI. To define full configuration and security options when launching node servers, use dedicated node configuration files.
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The recommended maximum number of nodes is 1000. |
Each node has a kubelet that updates the node as specified by a container manifest, which is a YAML file that describes a pod. The kubelet uses a set of manifests to ensure that its containers are started and that they continue to run.
A container manifest can be provided to a kubelet by:
A file path on the command line that is checked every 20 seconds.
An HTTP endpoint passed on the command line that is checked every 20 seconds.
The kubelet watching an etcd server, such as /registry/hosts/$(hostname -f), and acting on any changes.
The kubelet listening for HTTP and responding to a simple API to submit a new manifest.
Each node also runs a simple network proxy that reflects the services defined in the API on that node. This allows the node to do simple TCP and UDP stream forwarding across a set of back ends.
The following is an example node object definition in Kubernetes:
apiVersion: v1 (1)
kind: Node (2)
metadata:
creationTimestamp: null
labels: (3)
kubernetes.io/hostname: node1.example.com
name: node1.example.com (4)
spec:
externalID: node1.example.com (5)
status:
nodeInfo:
bootID: ""
containerRuntimeVersion: ""
kernelVersion: ""
kubeProxyVersion: ""
kubeletVersion: ""
machineID: ""
osImage: ""
systemUUID: ""| 1 | apiVersion defines the API version to use. |
| 2 | kind set to Node identifies this as a definition for a node
object. |
| 3 | metadata.labels lists any
labels that have been added
to the node. |
| 4 | metadata.name is a required value that defines the name of the node
object. This value is shown in the NAME column when running the oc get nodes
command. |
| 5 | spec.externalID defines the fully-qualified domain name where the node
can be reached. Defaults to the metadata.name value when empty. |
The REST API Reference has more details on these definitions.