Chapter 3. Core Concepts

The basic units of OpenShift Container Platform applications are called containers. Linux container technologies are lightweight mechanisms for isolating running processes so that they are limited to interacting with only their designated resources.

Many application instances can be running in containers on a single host without visibility into each others' processes, files, network, and so on. Typically, each container provides a single service (often called a "micro-service"), such as a web server or a database, though containers can be used for arbitrary workloads.

The Linux kernel has been incorporating capabilities for container technologies for years. More recently the Docker project has developed a convenient management interface for Linux containers on a host. OpenShift Container Platform and Kubernetes add the ability to orchestrate Docker-formatted containers across multi-host installations.

Though you do not directly interact with the Docker CLI or service when using OpenShift Container Platform, understanding their capabilities and terminology is important for understanding their role in OpenShift Container Platform and how your applications function inside of containers. The docker RPM is available as part of RHEL 7, as well as CentOS and Fedora, so you can experiment with it separately from OpenShift Container Platform. Refer to the article Get Started with Docker Formatted Container Images on Red Hat Systems for a guided introduction.

Containers in OpenShift Container Platform are based on Docker-formatted container images. An image is a binary that includes all of the requirements for running a single container, as well as metadata describing its needs and capabilities.

You can think of it as a packaging technology. Containers only have access to resources defined in the image unless you give the container additional access when creating it. By deploying the same image in multiple containers across multiple hosts and load balancing between them, OpenShift Container Platform can provide redundancy and horizontal scaling for a service packaged into an image.

You can use the Docker CLI directly to build images, but OpenShift Container Platform also supplies builder images that assist with creating new images by adding your code or configuration to existing images.

Because applications develop over time, a single image name can actually refer to many different versions of the "same" image. Each different image is referred to uniquely by its hash (a long hexadecimal number e.g. fd44297e2ddb050ec4f…​) which is usually shortened to 12 characters (e.g. fd44297e2ddb).

Image Version Tag Policy

Rather than version numbers, the Docker service allows applying tags (such as v1, v2.1, GA, or the default latest) in addition to the image name to further specify the image desired, so you may see the same image referred to as centos (implying the latest tag), centos:centos7, or fd44297e2ddb.

How you tag the images dictates the updating policy. The more specific you are, the less frequently the image will be updated. Use the following to determine your chosen OpenShift Container Platform images policy:

A container registry is a service for storing and retrieving Docker-formatted container images. A registry contains a collection of one or more image repositories. Each image repository contains one or more tagged images. Docker provides its own registry, the Docker Hub, and you can also use private or third-party registries. Red Hat provides a registry at registry.access.redhat.com for subscribers. OpenShift Container Platform can also supply its own internal registry for managing custom container images.

The relationship between containers, images, and registries is depicted in the following diagram:

OpenShift Container Platform leverages the Kubernetes concept of a pod, which is one or more containers deployed together on one host, and the smallest compute unit that can be defined, deployed, and managed.

Pods are the rough equivalent of a machine instance (physical or virtual) to a container. Each pod is allocated its own internal IP address, therefore owning its entire port space, and containers within pods can share their local storage and networking.

Pods have a lifecycle; they are defined, then they are assigned to run on a node, then they run until their container(s) exit or they are removed for some other reason. Pods, depending on policy and exit code, may be removed after exiting, or may be retained in order to enable access to the logs of their containers.

OpenShift Container Platform treats pods as largely immutable; changes cannot be made to a pod definition while it is running. OpenShift Container Platform implements changes by terminating an existing pod and recreating it with modified configuration, base image(s), or both. Pods are also treated as expendable, and do not maintain state when recreated. Therefore pods should usually be managed by higher-level controllers, rather than directly by users.

Below is an example definition of a pod that provides a long-running service, which is actually a part of the OpenShift Container Platform infrastructure: the integrated container registry. It demonstrates many features of pods, most of which are discussed in other topics and thus only briefly mentioned here:

apiVersion: v1
kind: Pod
metadata:
  annotations: { ... }
  labels:                                1
    deployment: docker-registry-1
    deploymentconfig: docker-registry
    docker-registry: default
  generateName: docker-registry-1-       2
spec:
  containers:                            3
  - env:                                 4
    - name: OPENSHIFT_CA_DATA
      value: ...
    - name: OPENSHIFT_CERT_DATA
      value: ...
    - name: OPENSHIFT_INSECURE
      value: "false"
    - name: OPENSHIFT_KEY_DATA
      value: ...
    - name: OPENSHIFT_MASTER
      value: https://master.example.com:8443
    image: openshift/origin-docker-registry:v0.6.2 5
    imagePullPolicy: IfNotPresent
    name: registry
    ports:                              6
    - containerPort: 5000
      protocol: TCP
    resources: {}
    securityContext: { ... }            7
    volumeMounts:                       8
    - mountPath: /registry
      name: registry-storage
    - mountPath: /var/run/secrets/kubernetes.io/serviceaccount
      name: default-token-br6yz
      readOnly: true
  dnsPolicy: ClusterFirst
  imagePullSecrets:
  - name: default-dockercfg-at06w
  restartPolicy: Always
  serviceAccount: default               9
  volumes:                              10
  - emptyDir: {}
    name: registry-storage
  - name: default-token-br6yz
    secret:
      secretName: default-token-br6yz

A Kubernetes service serves as an internal load balancer. It identifies a set of replicated pods in order to proxy the connections it receives to them. Backing pods can be added to or removed from a service arbitrarily while the service remains consistently available, enabling anything that depends on the service to refer to it at a consistent address. The default service clusterIP addresses are from the OpenShift Container Platform internal network and they are used to permit pods to access each other.

To permit external access to the service, additional externalIP and ingressIP addresses that are external to the cluster can be assigned to the service. These externalIP addresses can also be virtual IP addresses that provide highly available access to the service.

Services are assigned an IP address and port pair that, when accessed, proxy to an appropriate backing pod. A service uses a label selector to find all the containers running that provide a certain network service on a certain port.

Like pods, services are REST objects. The following example shows the definition of a service for the pod defined above:

apiVersion: v1
kind: Service
metadata:
  name: docker-registry      1
spec:
  selector:                  2
    docker-registry: default
  portalIP: 172.30.136.123   3
  ports:
  - nodePort: 0
    port: 5000               4
    protocol: TCP
    targetPort: 5000         5

The Kubernetes documentation has more information on services.

networkConfig:
  externalIPNetworkCIDR: 192.0.1.0.0/24

{
    "kind": "Service",
    "apiVersion": "v1",
    "metadata": {
        "name": "my-service"
    },
    "spec": {
        "selector": {
            "app": "MyApp"
        },
        "ports": [
            {
                "name": "http",
                "protocol": "TCP",
                "port": 80,
                "targetPort": 9376
            }
        ],
        "externalIPs" : [
            "80.11.12.10"         1
        ]
    }
}

networkConfig:
  ingressIPNetworkCIDR: 172.29.0.0/16

kubernetesMasterConfig:
  servicesNodePortRange: ""

Labels are used to organize, group, or select API objects. For example, pods are "tagged" with labels, and then services use label selectors to identify the pods they proxy to. This makes it possible for services to reference groups of pods, even treating pods with potentially different containers as related entities.

Most objects can include labels in their metadata. So labels can be used to group arbitrarily-related objects; for example, all of the pods, services, replication controllers, and deployment configurations of a particular application can be grouped.

Labels are simple key/value pairs, as in the following example:

labels:
  key1: value1
  key2: value2

Consider:

A service or replication controller that is defined to use pods with the role=webserver label treats both of these pods as part of the same group.

The Kubernetes documentation has more information on labels.

The servers that back a service are called its endpoints, and are specified by an object of type Endpoints with the same name as the service. When a service is backed by pods, those pods are normally specified by a label selector in the service specification, and OpenShift Container Platform automatically creates the Endpoints object pointing to those pods.

In some cases, you may want to create a service but have it be backed by external hosts rather than by pods in the OpenShift Container Platform cluster. In this case, you can leave out the selector field in the service, and create the Endpoints object manually.

Note that OpenShift Container Platform will not let most users manually create an Endpoints object that points to an IP address in the network blocks reserved for pod and service IPs. Only cluster admins or other users with permission to create resources under endpoints/restricted can create such Endpoint objects.

Interaction with OpenShift Container Platform is associated with a user. An OpenShift Container Platform user object represents an actor which may be granted permissions in the system by adding roles to them or to their groups.

Several types of users can exist:

Every user must authenticate in some way in order to access OpenShift Container Platform. API requests with no authentication or invalid authentication are authenticated as requests by the anonymous system user. Once authenticated, policy determines what the user is authorized to do.

A Kubernetes namespace provides a mechanism to scope resources in a cluster. In OpenShift Container Platform, a project is a Kubernetes namespace with additional annotations.

Namespaces provide a unique scope for:

Most objects in the system are scoped by namespace, but some are excepted and have no namespace, including nodes and users.

The Kubernetes documentation has more information on namespaces.

A project is a Kubernetes namespace with additional annotations, and is the central vehicle by which access to resources for regular users is managed. A project allows a community of users to organize and manage their content in isolation from other communities. Users must be given access to projects by administrators, or if allowed to create projects, automatically have access to their own projects.

Projects can have a separate name, displayName, and description.

Each project scopes its own set of:

Cluster administrators can create projects and delegate administrative rights for the project to any member of the user community. Cluster administrators can also allow developers to create their own projects.

Developers and administrators can interact with projects using the CLI or the web console.

A build is the process of transforming input parameters into a resulting object. Most often, the process is used to transform input parameters or source code into a runnable image. A BuildConfig object is the definition of the entire build process.

OpenShift Container Platform leverages Kubernetes by creating Docker-formatted containers from build images and pushing them to a container registry.

Build objects share common characteristics: inputs for a build, the need to complete a build process, logging the build process, publishing resources from successful builds, and publishing the final status of the build. Builds take advantage of resource restrictions, specifying limitations on resources such as CPU usage, memory usage, and build or pod execution time.

The OpenShift Container Platform build system provides extensible support for build strategies that are based on selectable types specified in the build API. There are three primary build strategies available:

By default, Docker builds and S2I builds are supported.

The resulting object of a build depends on the builder used to create it. For Docker and S2I builds, the resulting objects are runnable images. For Custom builds, the resulting objects are whatever the builder image author has specified.

Additionally, the Pipeline build strategy can be used to implement sophisticated workflows:

For a list of build commands, see the Developer’s Guide.

For more information on how OpenShift Container Platform leverages Docker for builds, see the upstream documentation.

An image stream and its associated tags provide an abstraction for referencing Docker images from within OpenShift Container Platform. The image stream and its tags allow you to see what images are available and ensure that you are using the specific image you need even if the image in the repository changes.

Image streams do not contain actual image data, but present a single virtual view of related images, similar to an image repository.

You can configure Builds and Deployments to watch an image stream for notifications when new images are added and react by performing a Build or Deployment, respectively.

For example, if a Deployment is using a certain image and a new version of that image is created, a Deployment could be automatically performed to pick up the new version of the image.

However, if the image stream tag used by the Deployment or Build is not updated, then even if the Docker image in the Docker registry is updated, the Build or Deployment will continue using the previous (presumably known good) image.

The source images can be stored in any of the following:

When you define an object that references an image stream tag (such as a or Build configuration or Deployment configuration), you point to an image stream tag, not the Docker repository. When you Build or Deploy your application, OpenShift Container Platform queries the Docker repository using the image stream tag to locate the associated ID of the image and uses that exact image.

The image stream metadata is stored in the etcd instance along with other cluster information.

The following image stream contains two tags: 34 which points to a Python v3.4 image and 35 which points to a Python v3.5 image:

oc describe is python
Name:			python
Namespace:		imagestream
Created:		25 hours ago
Labels:			app=python
Annotations:		openshift.io/generated-by=OpenShiftWebConsole
			openshift.io/image.dockerRepositoryCheck=2017-10-03T19:48:00Z
Docker Pull Spec:	docker-registry.default.svc:5000/imagestream/python
Image Lookup:		local=false
Unique Images:		2
Tags:			2

34
  tagged from centos/python-34-centos7

  * centos/python-34-centos7@sha256:28178e2352d31f240de1af1370be855db33ae9782de737bb005247d8791a54d0
      14 seconds ago

35
  tagged from centos/python-35-centos7

  * centos/python-35-centos7@sha256:2efb79ca3ac9c9145a63675fb0c09220ab3b8d4005d35e0644417ee552548b10
      7 seconds ago

Using image streams has several significant benefits:

For a curated set of image streams, see the OpenShift Image Streams and Templates library.

When using image streams, it is important to understand what the image stream tag is pointing to and how changes to tags and images can affect you. For example:

docker.io/openshift/jenkins-2-centos7:3.6.0

docker.io/openshift/jenkins-2-centos7@sha256:ab312bda324

apiVersion: v1
kind: ImageStream
metadata:
  annotations:
    openshift.io/generated-by: OpenShiftNewApp
  creationTimestamp: 2017-09-29T13:33:49Z
  generation: 1
  labels:
    app: ruby-sample-build
    template: application-template-stibuild
  name: origin-ruby-sample 1
  namespace: test
  resourceVersion: "633"
  selflink: /oapi/v1/namespaces/test/imagestreams/origin-ruby-sample
  uid: ee2b9405-c68c-11e5-8a99-525400f25e34
spec: {}
status:
  dockerImageRepository: 172.30.56.218:5000/test/origin-ruby-sample 2
  tags:
  - items:
- created: 2017-09-02T10:15:09Z
      dockerImageReference: 172.30.56.218:5000/test/origin-ruby-sample@sha256:47463d94eb5c049b2d23b03a9530bf944f8f967a0fe79147dd6b9135bf7dd13d 3
      generation: 2
      image: sha256:909de62d1f609a717ec433cc25ca5cf00941545c83a01fb31527771e1fab3fc5 4
    - created: 2017-09-29T13:40:11Z
      dockerImageReference: 172.30.56.218:5000/test/origin-ruby-sample@sha256:909de62d1f609a717ec433cc25ca5cf00941545c83a01fb31527771e1fab3fc5
      generation: 1
      image: sha256:47463d94eb5c049b2d23b03a9530bf944f8f967a0fe79147dd6b9135bf7dd13d
    tag: latest 5

<image-stream-name>@<image-id>

origin-ruby-sample@sha256:47463d94eb5c049b2d23b03a9530bf944f8f967a0fe79147dd6b9135bf7dd13d

  tags:
  - items:
    - created: 2017-09-02T10:15:09Z
      dockerImageReference: 172.30.56.218:5000/test/origin-ruby-sample@sha256:47463d94eb5c049b2d23b03a9530bf944f8f967a0fe79147dd6b9135bf7dd13d
      generation: 2
      image: sha256:909de62d1f609a717ec433cc25ca5cf00941545c83a01fb31527771e1fab3fc5
    - created: 2017-09-29T13:40:11Z
      dockerImageReference: 172.30.56.218:5000/test/origin-ruby-sample@sha256:909de62d1f609a717ec433cc25ca5cf00941545c83a01fb31527771e1fab3fc5
      generation: 1
      image: sha256:47463d94eb5c049b2d23b03a9530bf944f8f967a0fe79147dd6b9135bf7dd13d
    tag: latest

<image stream name>:<tag>

origin-ruby-sample:latest

triggers:
  - type: "ImageChange"
    imageChangeParams:
      automatic: true 1
      from:
        kind: "ImageStreamTag"
        name: "origin-ruby-sample:latest"
        namespace: "myproject"
      containerNames:
        - "helloworld"

apiVersion: v1
kind: ImageStreamMapping
metadata:
  creationTimestamp: null
  name: origin-ruby-sample
  namespace: test
tag: latest
image:
  dockerImageLayers:
  - name: sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef
    size: 0
  - name: sha256:ee1dd2cb6df21971f4af6de0f1d7782b81fb63156801cfde2bb47b4247c23c29
    size: 196634330
  - name: sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef
    size: 0
  - name: sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef
    size: 0
  - name: sha256:ca062656bff07f18bff46be00f40cfbb069687ec124ac0aa038fd676cfaea092
    size: 177723024
  - name: sha256:63d529c59c92843c395befd065de516ee9ed4995549f8218eac6ff088bfa6b6e
    size: 55679776
  - name: sha256:92114219a04977b5563d7dff71ec4caa3a37a15b266ce42ee8f43dba9798c966
    size: 11939149
  dockerImageMetadata:
    Architecture: amd64
    Config:
      Cmd:
      - /usr/libexec/s2i/run
      Entrypoint:
      - container-entrypoint
      Env:
      - RACK_ENV=production
      - OPENSHIFT_BUILD_NAMESPACE=test
      - OPENSHIFT_BUILD_SOURCE=https://github.com/openshift/ruby-hello-world.git
      - EXAMPLE=sample-app
      - OPENSHIFT_BUILD_NAME=ruby-sample-build-1
      - PATH=/opt/app-root/src/bin:/opt/app-root/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
      - STI_SCRIPTS_URL=image:///usr/libexec/s2i
      - STI_SCRIPTS_PATH=/usr/libexec/s2i
      - HOME=/opt/app-root/src
      - BASH_ENV=/opt/app-root/etc/scl_enable
      - ENV=/opt/app-root/etc/scl_enable
      - PROMPT_COMMAND=. /opt/app-root/etc/scl_enable
      - RUBY_VERSION=2.2
      ExposedPorts:
        8080/tcp: {}
      Labels:
        build-date: 2015-12-23
        io.k8s.description: Platform for building and running Ruby 2.2 applications
        io.k8s.display-name: 172.30.56.218:5000/test/origin-ruby-sample:latest
        io.openshift.build.commit.author: Ben Parees <bparees@users.noreply.github.com>
        io.openshift.build.commit.date: Wed Jan 20 10:14:27 2016 -0500
        io.openshift.build.commit.id: 00cadc392d39d5ef9117cbc8a31db0889eedd442
        io.openshift.build.commit.message: 'Merge pull request #51 from php-coder/fix_url_and_sti'
        io.openshift.build.commit.ref: master
        io.openshift.build.image: centos/ruby-22-centos7@sha256:3a335d7d8a452970c5b4054ad7118ff134b3a6b50a2bb6d0c07c746e8986b28e
        io.openshift.build.source-location: https://github.com/openshift/ruby-hello-world.git
        io.openshift.builder-base-version: 8d95148
        io.openshift.builder-version: 8847438ba06307f86ac877465eadc835201241df
        io.openshift.s2i.scripts-url: image:///usr/libexec/s2i
        io.openshift.tags: builder,ruby,ruby22
        io.s2i.scripts-url: image:///usr/libexec/s2i
        license: GPLv2
        name: CentOS Base Image
        vendor: CentOS
      User: "1001"
      WorkingDir: /opt/app-root/src
    Container: 86e9a4a3c760271671ab913616c51c9f3cea846ca524bf07c04a6f6c9e103a76
    ContainerConfig:
      AttachStdout: true
      Cmd:
      - /bin/sh
      - -c
      - tar -C /tmp -xf - && /usr/libexec/s2i/assemble
      Entrypoint:
      - container-entrypoint
      Env:
      - RACK_ENV=production
      - OPENSHIFT_BUILD_NAME=ruby-sample-build-1
      - OPENSHIFT_BUILD_NAMESPACE=test
      - OPENSHIFT_BUILD_SOURCE=https://github.com/openshift/ruby-hello-world.git
      - EXAMPLE=sample-app
      - PATH=/opt/app-root/src/bin:/opt/app-root/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
      - STI_SCRIPTS_URL=image:///usr/libexec/s2i
      - STI_SCRIPTS_PATH=/usr/libexec/s2i
      - HOME=/opt/app-root/src
      - BASH_ENV=/opt/app-root/etc/scl_enable
      - ENV=/opt/app-root/etc/scl_enable
      - PROMPT_COMMAND=. /opt/app-root/etc/scl_enable
      - RUBY_VERSION=2.2
      ExposedPorts:
        8080/tcp: {}
      Hostname: ruby-sample-build-1-build
      Image: centos/ruby-22-centos7@sha256:3a335d7d8a452970c5b4054ad7118ff134b3a6b50a2bb6d0c07c746e8986b28e
      OpenStdin: true
      StdinOnce: true
      User: "1001"
      WorkingDir: /opt/app-root/src
    Created: 2016-01-29T13:40:00Z
    DockerVersion: 1.8.2.fc21
    Id: 9d7fd5e2d15495802028c569d544329f4286dcd1c9c085ff5699218dbaa69b43
    Parent: 57b08d979c86f4500dc8cad639c9518744c8dd39447c055a3517dc9c18d6fccd
    Size: 441976279
    apiVersion: "1.0"
    kind: DockerImage
  dockerImageMetadataVersion: "1.0"
  dockerImageReference: 172.30.56.218:5000/test/origin-ruby-sample@sha256:47463d94eb5c049b2d23b03a9530bf944f8f967a0fe79147dd6b9135bf7dd13d

oc describe is/<image-name>

oc describe is/python

Name:			python
Namespace:		default
Created:		About a minute ago
Labels:			<none>
Annotations:		openshift.io/image.dockerRepositoryCheck=2017-10-02T17:05:11Z
Docker Pull Spec:	docker-registry.default.svc:5000/default/python
Image Lookup:		local=false
Unique Images:		1
Tags:			1

3.5
  tagged from centos/python-35-centos7

  * centos/python-35-centos7@sha256:49c18358df82f4577386404991c51a9559f243e0b1bdc366df25
      About a minute ago

oc describe istag/<image-stream>:<tag-name>

oc describe istag/python:latest

Image Name:	sha256:49c18358df82f4577386404991c51a9559f243e0b1bdc366df25
Docker Image:	centos/python-35-centos7@sha256:49c18358df82f4577386404991c51a9559f243e0b1bdc366df25
Name:		sha256:49c18358df82f4577386404991c51a9559f243e0b1bdc366df25
Created:	2 minutes ago
Image Size:	251.2 MB (first layer 2.898 MB, last binary layer 72.26 MB)
Image Created:	2 weeks ago
Author:		<none>
Arch:		amd64
Entrypoint:	container-entrypoint
Command:	/bin/sh -c $STI_SCRIPTS_PATH/usage
Working Dir:	/opt/app-root/src
User:		1001
Exposes Ports:	8080/tcp
Docker Labels:	build-date=20170801

oc tag <image-name:tag> <image-name:tag>

oc tag python:3.5 python:latest

Tag python:latest set to python@sha256:49c18358df82f4577386404991c51a9559f243e0b1bdc366df25.

oc describe is/python

Name:			python
Namespace:		default
Created:		5 minutes ago
Labels:			<none>
Annotations:		openshift.io/image.dockerRepositoryCheck=2017-10-02T17:05:11Z
Docker Pull Spec:	docker-registry.default.svc:5000/default/python
Image Lookup:		local=false
Unique Images:		1
Tags:			2

latest
  tagged from python@sha256:49c18358df82f4577386404991c51a9559f243e0b1bdc366df25

  * centos/python-35-centos7@sha256:49c18358df82f4577386404991c51a9559f243e0b1bdc366df25
      About a minute ago

3.5
  tagged from centos/python-35-centos7

  * centos/python-35-centos7@sha256:49c18358df82f4577386404991c51a9559f243e0b1bdc366df25
      5 minutes ago

oc tag <repositiory/image> <image-name:tag>

oc tag docker.io/python:3.6.0 python:3.6
Tag python:3.6 set to docker.io/python:3.6.0.

oc tag <image-name:tag> <image-name:latest>

oc tag python:3.6 python:latest
Tag python:latest set to python@sha256:438208801c4806548460b27bd1fbcb7bb188273d13871ab43f.

oc tag -d <image-name:tag>

oc tag -d python:3.5

Deleted tag default/python:3.5.

oc tag <repositiory/image> <image-name:tag> --scheduled

oc tag docker.io/python:3.6.0 python:3.6 --scheduled

Tag python:3.6 set to import docker.io/python:3.6.0 periodically.

oc tag <repositiory/image> <image-name:tag>

A replication controller ensures that a specified number of replicas of a pod are running at all times. If pods exit or are deleted, the replication controller acts to instantiate more up to the defined number. Likewise, if there are more running than desired, it deletes as many as necessary to match the defined amount.

A replication controller configuration consists of:

A selector is a set of labels assigned to the pods that are managed by the replication controller. These labels are included in the pod definition that the replication controller instantiates. The replication controller uses the selector to determine how many instances of the pod are already running in order to adjust as needed.

The replication controller does not perform auto-scaling based on load or traffic, as it does not track either. Rather, this would require its replica count to be adjusted by an external auto-scaler.

A replication controller is a core Kubernetes object called ReplicationController.

The following is an example ReplicationController definition:

apiVersion: v1
kind: ReplicationController
metadata:
  name: frontend-1
spec:
  replicas: 1  1
  selector:    2
    name: frontend
  template:    3
    metadata:
      labels:  4
        name: frontend 5
    spec:
      containers:
      - image: openshift/hello-openshift
        name: helloworld
        ports:
        - containerPort: 8080
          protocol: TCP
      restartPolicy: Always

A job is similar to a replication controller, in that its purpose is to create pods for specified reasons. The difference is that replication controllers are designed for pods that will be continuously running, whereas jobs are for one-time pods. A job tracks any successful completions and when the specified amount of completions have been reached, the job itself is completed.

The following example computes π to 2000 places, prints it out, then completes:

apiVersion: extensions/v1
kind: Job
metadata:
  name: pi
spec:
  selector:
    matchLabels:
      app: pi
  template:
    metadata:
      name: pi
      labels:
        app: pi
    spec:
      containers:
      - name: pi
        image: perl
        command: ["perl",  "-Mbignum=bpi", "-wle", "print bpi(2000)"]
      restartPolicy: Never

See the Jobs topic for more information on how to use jobs.

Building on replication controllers, OpenShift Container Platform adds expanded support for the software development and deployment lifecycle with the concept of deployments. In the simplest case, a deployment just creates a new replication controller and lets it start up pods. However, OpenShift Container Platform deployments also provide the ability to transition from an existing deployment of an image to a new one and also define hooks to be run before or after creating the replication controller.

The OpenShift Container Platform DeploymentConfig object defines the following details of a deployment:

Each time a deployment is triggered, whether manually or automatically, a deployer pod manages the deployment (including scaling down the old replication controller, scaling up the new one, and running hooks). The deployment pod remains for an indefinite amount of time after it completes the deployment in order to retain its logs of the deployment. When a deployment is superseded by another, the previous replication controller is retained to enable easy rollback if needed.

For detailed instructions on how to create and interact with deployments, refer to Deployments.

Here is an example DeploymentConfig definition with some omissions and callouts:

apiVersion: v1
kind: DeploymentConfig
metadata:
  name: frontend
spec:
  replicas: 5
  selector:
    name: frontend
  template: { ... }
  triggers:
  - type: ConfigChange 1
  - imageChangeParams:
      automatic: true
      containerNames:
      - helloworld
      from:
        kind: ImageStreamTag
        name: hello-openshift:latest
    type: ImageChange  2
  strategy:
    type: Rolling      3

An OpenShift Container Platform route exposes a service at a host name, like www.example.com, so that external clients can reach it by name.

DNS resolution for a host name is handled separately from routing. Your administrator may have configured a DNS wildcard entry that will resolve to the OpenShift Container Platform node that is running the OpenShift Container Platform router. If you are using a different host name you may need to modify its DNS records independently to resolve to the node that is running the router.

Each route consists of a name (limited to 63 characters), a service selector, and an optional security configuration.

An OpenShift Container Platform administrator can deploy routers to nodes in an OpenShift Container Platform cluster, which enable routes created by developers to be used by external clients. The routing layer in OpenShift Container Platform is pluggable, and two available router plug-ins are provided and supported by default.

A router uses the service selector to find the service and the endpoints backing the service. When both router and service provide load balancing, OpenShift Container Platform uses the router load balancing. A router detects relevant changes in the IP addresses of its services and adapts its configuration accordingly. This is useful for custom routers to communicate modifications of API objects to an external routing solution.

The path of a request starts with the DNS resolution of a host name to one or more routers. The suggested method is to define a cloud domain with a wildcard DNS entry pointing to one or more virtual IP (VIP) addresses backed by multiple router instances. Routes using names and addresses outside the cloud domain require configuration of individual DNS entries.

When there are fewer VIP addresses than routers, the routers corresponding to the number of addresses are active and the rest are passive. A passive router is also known as a hot-standby router. For example, with two VIP addresses and three routers, you have an "active-active-passive" configuration. See High Availability for more information on router VIP configuration.

Routes can be sharded among the set of routers. Administrators can set up sharding on a cluster-wide basis and users can set up sharding for the namespace in their project. Sharding allows the operator to define multiple router groups. Each router in the group serves only a subset of traffic.

OpenShift Container Platform routers provide external host name mapping and load balancing of service end points over protocols that pass distinguishing information directly to the router; the host name must be present in the protocol in order for the router to determine where to send it.

Router plug-ins assume they can bind to host ports 80 (HTTP) and 443 (HTTPS), by default. This means that routers must be placed on nodes where those ports are not otherwise in use. Alternatively, a router can be configured to listen on other ports by setting the ROUTER_SERVICE_HTTP_PORT and ROUTER_SERVICE_HTTPS_PORT environment variables.

Because a router binds to ports on the host node, only one router listening on those ports can be on each node if the router uses host networking (the default). Cluster networking is configured such that all routers can access all pods in the cluster.

Routers support the following protocols:

The following router plug-ins are provided and supported in OpenShift Container Platform. Instructions on deploying these routers are available in Deploying a Router.

3.7.3.1. HAProxy Template Router

The HAProxy template router implementation is the reference implementation for a template router plug-in. It uses the openshift3/ose-haproxy-router repository to run an HAProxy instance alongside the template router plug-in.

The following diagram illustrates how data flows from the master through the plug-in and finally into an HAProxy configuration:

Figure 3.1. HAProxy Router Data Flow

Sticky Sessions

Sticky sessions ensure that all traffic from a user’s session go to the same pod, creating a better user experience. While satisfying the user’s requests, the pod caches data, which can be used in subsequent requests. For example, for a cluster with five back-end pods and two load-balanced routers, you can ensure that the same pod receives the web traffic from the same web browser regardless of the router that handles it.

While returning routing traffic to the same pod is desired, it cannot be guaranteed. However, you can use HTTP headers to set a cookie to determine the pod used in the last connection. When the user sends another request to the application the browser re-sends the cookie and the router knows where to send the traffic.

Cluster administrators can turn off stickiness for passthrough routes separately from other connections, or turn off stickiness entirely.

By default, sticky sessions for passthrough routes are implemented using the source load balancing strategy. The default can be changed for all passthrough routes by using the ROUTER_TCP_BALANCE_SCHEMEenvironment variable, and for individual routes by using the haproxy.router.openshift.io/balance route specific annotation.

Other types of routes use the leastconn load balancing strategy by default.

Note

Cookies cannot be set on passthrough routes, because the HTTP traffic cannot be seen. Instead, a number is calculated based on the source IP address, which determines the back-end.

If back-ends change, the traffic could head to the wrong server, making it less sticky, and if you are using a load-balancer (which hides the source IP) the same number is set for all connections and traffic is sent to the same pod.

In addition, the template router plug-in provides the service name and namespace to the underlying implementation. This can be used for more advanced configuration such as implementing stick-tables that synchronize between a set of peers.

Specific configuration for this router implementation is stored in the haproxy-config.template file located in the /var/lib/haproxy/conf directory of the router container. The file may be customized.

Note

The source load balancing strategy does not distinguish between external client IP addresses; because of the NAT configuration, the originating IP address (HAProxy remote) is the same. Unless the HAProxy router is running with hostNetwork: true, all external clients will be routed to a single pod.

For all the items outlined in this section, you can set environment variables in the deployment config for the router to alter its configuration, or use the oc set env command:

$ oc set env <object_type>/<object_name> KEY1=VALUE1 KEY2=VALUE2

For example:

$ oc set env dc/router ROUTER_SYSLOG_ADDRESS=127.0.0.1 ROUTER_LOG_LEVEL=debug

TimeUnits are represented by a number followed by the unit: us *(microseconds), ms (milliseconds, default), s (seconds), m (minutes), h *(hours), d (days).

The regular expression is: [1-9][0-9]*(us\|ms\|s\|m\|h\|d)

When a route has multiple endpoints, HAProxy distributes requests to the route among the endpoints based on the selected load-balancing strategy. This applies when no persistence information is available, such as on the first request in a session.

The strategy can be one of the following:

The ROUTER_TCP_BALANCE_SCHEME environment variable sets the default for passthorugh routes.

By default, when a host does not resolve to a route in a HTTPS or TLS SNI request, the default certificate is returned to the caller as part of the 503 response. This exposes the default certificate and can pose security concerns because the wrong certificate is served for a site. The HAProxy strict-sni option to bind suppresses use of the default certificate.

The ROUTER_STRICT_SNI environment variable controls bind processing. When set to true or TRUE, strict-sni is added to the HAProxy bind. The default setting is false.

The option can be set when the router is created or added later.

$ oc adm router --strict-sni

This sets ROUTER_STRICT_SNI=true.

In order for services to be exposed externally, an OpenShift Container Platform route allows you to associate a service with an externally-reachable host name. This edge host name is then used to route traffic to the service.

When multiple routes from different namespaces claim the same host, the oldest route wins and claims it for the namespace. If additional routes with different path fields are defined in the same namespace, those paths are added. If multiple routes with the same path are used, the oldest takes priority.

A consequence of this behavior is that if you have two routes for a host name: an older one and a newer one. If someone else has a route for the same host name that they created between when you created the other two routes, then if you delete your older route, your claim to the host name will no longer be in effect. The other namespace now claims the host name and your claim is lost.

apiVersion: v1
kind: Route
metadata:
  name: host-route
spec:
  host: www.example.com  1
  to:
    kind: Service
    name: service-name

apiVersion: v1
kind: Route
metadata:
  name: no-route-hostname
spec:
  to:
    kind: Service
    name: service-name

If a host name is not provided as part of the route definition, then OpenShift Container Platform automatically generates one for you. The generated host name is of the form:

<route-name>[-<namespace>].<suffix>

The following example shows the OpenShift Container Platform-generated host name for the above configuration of a route without a host added to a namespace mynamespace:

no-route-hostname-mynamespace.router.default.svc.cluster.local 1

A cluster administrator can also customize the suffix used as the default routing subdomain for their environment.

Routes can be either secured or unsecured. Secure routes provide the ability to use several types of TLS termination to serve certificates to the client. Routers support edge, passthrough, and re-encryption termination.

apiVersion: v1
kind: Route
metadata:
  name: route-unsecured
spec:
  host: www.example.com
  to:
    kind: Service
    name: service-name

Unsecured routes are simplest to configure, as they require no key or certificates, but secured routes offer security for connections to remain private.

A secured route is one that specifies the TLS termination of the route. The available types of termination are described below.

Path based routes specify a path component that can be compared against a URL (which requires that the traffic for the route be HTTP based) such that multiple routes can be served using the same host name, each with a different path. Routers should match routes based on the most specific path to the least; however, this depends on the router implementation. The following table shows example routes and their accessibility:

apiVersion: v1
kind: Route
metadata:
  name: route-unsecured
spec:
  host: www.example.com
  path: "/test"   1
  to:
    kind: Service
    name: service-name

Secured routes specify the TLS termination of the route and, optionally, provide a key and certificate(s).

Secured routes can use any of the following three types of secure TLS termination.

Edge Termination

With edge termination, TLS termination occurs at the router, prior to proxying traffic to its destination. TLS certificates are served by the front end of the router, so they must be configured into the route, otherwise the router’s default certificate will be used for TLS termination.

apiVersion: v1
kind: Route
metadata:
  name: route-edge-secured 1
spec:
  host: www.example.com
  to:
    kind: Service
    name: service-name 2
  tls:
    termination: edge            3
    key: |-                      4
      -----BEGIN PRIVATE KEY-----
      [...]
      -----END PRIVATE KEY-----
    certificate: |-              5
      -----BEGIN CERTIFICATE-----
      [...]
      -----END CERTIFICATE-----
    caCertificate: |-            6
      -----BEGIN CERTIFICATE-----
      [...]
      -----END CERTIFICATE-----

Because TLS is terminated at the router, connections from the router to the endpoints over the internal network are not encrypted.

Edge-terminated routes can specify an insecureEdgeTerminationPolicy that enables traffic on insecure schemes (HTTP) to be disabled, allowed or redirected. The allowed values for insecureEdgeTerminationPolicy are: None or empty (for disabled), Allow or Redirect. The default insecureEdgeTerminationPolicy is to disable traffic on the insecure scheme. A common use case is to allow content to be served via a secure scheme but serve the assets (example images, stylesheets and javascript) via the insecure scheme.

apiVersion: v1
kind: Route
metadata:
  name: route-edge-secured-allow-insecure 1
spec:
  host: www.example.com
  to:
    kind: Service
    name: service-name 2
  tls:
    termination:                   edge   3
    insecureEdgeTerminationPolicy: Allow  4
    [ ... ]

apiVersion: v1
kind: Route
metadata:
  name: route-edge-secured-redirect-insecure 1
spec:
  host: www.example.com
  to:
    kind: Service
    name: service-name 2
  tls:
    termination:                   edge      3
    insecureEdgeTerminationPolicy: Redirect  4
    [ ... ]

Passthrough Termination

With passthrough termination, encrypted traffic is sent straight to the destination without the router providing TLS termination. Therefore no key or certificate is required.

apiVersion: v1
kind: Route
metadata:
  name: route-passthrough-secured 1
spec:
  host: www.example.com
  to:
    kind: Service
    name: service-name 2
  tls:
    termination: passthrough     3

The destination pod is responsible for serving certificates for the traffic at the endpoint. This is currently the only method that can support requiring client certificates (also known as two-way authentication).

Re-encryption Termination

Re-encryption is a variation on edge termination where the router terminates TLS with a certificate, then re-encrypts its connection to the endpoint which may have a different certificate. Therefore the full path of the connection is encrypted, even over the internal network. The router uses health checks to determine the authenticity of the host.

apiVersion: v1
kind: Route
metadata:
  name: route-pt-secured 1
spec:
  host: www.example.com
  to:
    kind: Service
    name: service-name 2
  tls:
    termination: reencrypt        3
    key: [as in edge termination]
    certificate: [as in edge termination]
    caCertificate: [as in edge termination]
    destinationCACertificate: |-  4
      -----BEGIN CERTIFICATE-----
      [...]
      -----END CERTIFICATE-----

In OpenShift Container Platform, each route can have any number of labels in its metadata field. A router uses selectors (also known as a selection expression) to select a subset of routes from the entire pool of routes to serve. A selection expression can also involve labels on the route’s namespace. The selected routes form a router shard. You can create and modify router shards independently from the routes, themselves.

This design supports traditional sharding as well as overlapped sharding. In traditional sharding, the selection results in no overlapping sets and a route belongs to exactly one shard. In overlapped sharding, the selection results in overlapping sets and a route can belong to many different shards. For example, a single route may belong to a SLA=high shard (but not SLA=medium or SLA=low shards), as well as a geo=west shard (but not a geo=east shard).

Another example of overlapped sharding is a set of routers that select based on namespace of the route:

Both router-2 and router-3 serve routes that are in the namespaces Q*, R*, S*, T*. To change this example from overlapped to traditional sharding, we could change the selection of router-2 to K* — P*, which would eliminate the overlap.

When routers are sharded, a given route is bound to zero or more routers in the group. The route binding ensures uniqueness of the route across the shard. Uniqueness allows secure and non-secure versions of the same route to exist within a single shard. This implies that routes now have a visible life cycle that moves from created to bound to active.

In the sharded environment the first route to hit the shard reserves the right to exist there indefinitely, even across restarts.

During a green/blue deployment a route may be be selected in multiple routers. An OpenShift Container Platform application administrator may wish to bleed traffic from one version of the application to another and then turn off the old version.

Sharding can be done by the administrator at a cluster level and by the user at a project/namespace level. When namespace labels are used, the service account for the router must have cluster-reader permission to permit the router to access the labels in the namespace.

Using environment variables, a router can set the default options for all the routes it exposes. An individual route can override some of these defaults by providing specific configurations in its annotations.

Route Annotations

For all the items outlined in this section, you can set annotations on the route definition for the route to alter its configuration

apiVersion: v1
kind: Route
metadata:
  annotations:
    haproxy.router.openshift.io/timeout: 5500ms 1
[...]

A wildcard policy allows a user to define a route that covers all hosts within a domain (when the router is configured to allow it). A route can specify a wildcard policy as part of its configuration using the wildcardPolicy field. Any routers run with a policy allowing wildcard routes will expose the route appropriately based on the wildcard policy.

Learn how to configure HAProxy routers to allow wildcard routes.

apiVersion: v1
kind: Route
spec:
  host: wildcard.example.com  1
  wildcardPolicy: Subdomain   2
  to:
    kind: Service
    name: service-name

The route status field is only set by routers. If changes are made to a route so that a router no longer serves a specific route, the status becomes stale. The routers do not clear the route status field. To remove the stale entries in the route status, use the clear-route-status script.

A router can be configured to deny or allow a specific subset of domains from the host names in a route using the ROUTER_DENIED_DOMAINS and ROUTER_ALLOWED_DOMAINS environment variables.

The domains in the list of denied domains take precedence over the list of allowed domains. Meaning OpenShift Container Platform first checks the deny list (if applicable), and if the host name is not in the list of denied domains, it then checks the list of allowed domains. However, the list of allowed domains is more restrictive, and ensures that the router only admits routes with hosts that belong to that list.

For example, to deny the [*.]open.header.test, [*.]openshift.org and [*.]block.it routes for the myrouter route:

$ oadm router myrouter ...
$ oc set env dc/myrouter ROUTER_DENIED_DOMAINS="open.header.test, openshift.org, block.it"

This means that myrouter will admit the following based on the route’s name:

$ oc expose service/<name> --hostname="foo.header.test"
$ oc expose service/<name> --hostname="www.allow.it"
$ oc expose service/<name> --hostname="www.openshift.test"

However, myrouter will deny the following:

$ oc expose service/<name> --hostname="open.header.test"
$ oc expose service/<name> --hostname="www.open.header.test"
$ oc expose service/<name> --hostname="block.it"
$ oc expose service/<name> --hostname="franco.baresi.block.it"
$ oc expose service/<name> --hostname="openshift.org"
$ oc expose service/<name> --hostname="api.openshift.org"

Alternatively, to block any routes where the host name is not set to [*.]stickshift.org or [*.]kates.net:

$ oadm router myrouter ...
$ oc set env dc/myrouter ROUTER_ALLOWED_DOMAINS="stickshift.org, kates.net"

This means that the myrouter router will admit:

$ oc expose service/<name> --hostname="stickshift.org"
$ oc expose service/<name> --hostname="www.stickshift.org"
$ oc expose service/<name> --hostname="kates.net"
$ oc expose service/<name> --hostname="api.kates.net"
$ oc expose service/<name> --hostname="erno.r.kube.kates.net"

However, myrouter will deny the following:

$ oc expose service/<name> --hostname="www.open.header.test"
$ oc expose service/<name> --hostname="drive.ottomatic.org"
$ oc expose service/<name> --hostname="www.wayless.com"
$ oc expose service/<name> --hostname="www.deny.it"

To implement both scenarios, run:

$ oadm router adrouter ...
$ oc env dc/adrouter ROUTER_ALLOWED_DOMAINS="openshift.org, kates.net" \
    ROUTER_DENIED_DOMAINS="ops.openshift.org, metrics.kates.net"

This will allow any routes where the host name is set to [*.]openshift.org or [*.]kates.net, and not allow any routes where the host name is set to [*.]ops.openshift.org or [*.]metrics.kates.net.

Therefore, the following will be denied:

$ oc expose service/<name> --hostname="www.open.header.test"
$ oc expose service/<name> --hostname="ops.openshift.org"
$ oc expose service/<name> --hostname="log.ops.openshift.org"
$ oc expose service/<name> --hostname="www.block.it"
$ oc expose service/<name> --hostname="metrics.kates.net"
$ oc expose service/<name> --hostname="int.metrics.kates.net"

However, the following will be allowed:

$ oc expose service/<name> --hostname="openshift.org"
$ oc expose service/<name> --hostname="api.openshift.org"
$ oc expose service/<name> --hostname="m.api.openshift.org"
$ oc expose service/<name> --hostname="kates.net"
$ oc expose service/<name> --hostname="api.kates.net"

A template describes a set of objects that can be parameterized and processed to produce a list of objects for creation by OpenShift Container Platform. The objects to create can include anything that users have permission to create within a project, for example services, build configurations, and deployment configurations. A template may also define a set of labels to apply to every object defined in the template.

See the template guide for details about creating and using templates.