The new-app command allows you to create applications using source code in a local or remote Git repository.

To create an application using a Git repository in a local directory:

$ oc new-app /path/to/source/code

You can use a subdirectory of your source code repository by specifying a --context-dir flag. To create an application using a remote Git repository and a context subdirectory:

$ oc new-app https://github.com/openshift/sti-ruby.git \
    --context-dir=2.0/test/puma-test-app

Also, when specifying a remote URL, you can specify a Git branch to use by appending #<branch_name> to the end of the URL:

$ oc new-app https://github.com/openshift/ruby-hello-world.git#beta4

Using new-app results in a build configuration, which creates a new application image from your source code. It also constructs a deployment configuration to deploy the new image, and a service to provide load-balanced access to the deployment running your image.

OpenShift Enterprise automatically detects whether the Docker or Sourcebuild strategy is being used, and in the case of Source builds, detects an appropriate language builder image.

Build Strategy Detection

If a Dockerfile is in the repository when creating a new application, OpenShift Enterprise generates a Docker build strategy. Otherwise, it generates a Source strategy.

You can specify a strategy by setting the --strategy flag to either source or docker.

$ oc new-app /home/user/code/myapp --strategy=docker

Language Detection

If creating a Source build, new-app attempts to determine the language builder to use by the presence of certain files in the root of the repository:

After a language is detected, new-app searches the OpenShift Enterprise server for image stream tags that have a supports annotation matching the detected language, or an image stream that matches the name of the detected language. If a match is not found, new-app searches the Docker Hub registry for an image that matches the detected language based on name.

You can override the image the builder uses for a particular source repository by specifying the image (either an image stream or container specification) and the repository, with a ~ as a separator.

For example, to use the myproject/my-ruby image stream with the source in a remote repository:

$ oc new-app myproject/my-ruby~https://github.com/openshift/ruby-hello-world.git

To use the openshift/ruby-20-centos7:latest container image stream with the source in a local repository:

$ oc new-app openshift/ruby-20-centos7:latest~/home/user/code/my-ruby-app

You can deploy an application from an existing image. Images can come from image streams in the OpenShift Enterprise server, images in a specific registry or Docker Hub registry, or images in the local Docker server.

The new-app command attempts to determine the type of image specified in the arguments passed to it. However, you can explicitly tell new-app whether the image is a Docker image (using the --docker-image argument) or an image stream (using the -i|--image argument).

For example, to create an application from the DockerHub MySQL image:

$ oc new-app mysql

To create an application using an image in a private registry, specify the full Docker image specification:

$ oc new-app myregistry:5000/example/myimage

You can create an application from an existing image stream and tag (optional) for the image stream:

$ oc new-app my-stream:v1

You can create an application from a previously stored template or from a template file, by specifying the name of the template as an argument. For example, you can store a sample application template and use it to create an application.

To create an application from a stored template:

$ oc create -f examples/sample-app/application-template-stibuild.json
$ oc new-app ruby-helloworld-sample

To directly use a template in your local file system, without first storing it in OpenShift Enterprise, use the -f|--file argument:

$ oc new-app -f examples/sample-app/application-template-stibuild.json

Template Parameters

When creating an application based on a template, use the -p|--param argument to set parameter values defined by the template:

$ oc new-app ruby-helloworld-sample \
    -p ADMIN_USERNAME=admin,ADMIN_PASSWORD=mypassword

The new-app command generates OpenShift Enterprise objects that will build, deploy, and run the application being created. Normally, these objects are created in the current project using names derived from the input source repositories or the input images. However, new-app allows you to modify this behavior.

The set of objects created by new-app depends on the artifacts passed as input: source repositories, images, or templates.

$ oc new-app openshift/postgresql-92-centos7 \
    -e POSTGRESQL_USER=user \
    -e POSTGRESQL_DATABASE=db \
    -e POSTGRESQL_PASSWORD=password

$ oc new-app https://github.com/openshift/ruby-hello-world -l name=hello-world

$ oc new-app https://github.com/openshift/ruby-hello-world \
    -o yaml > myapp.yaml
$ vi myapp.yaml
$ oc create -f myapp.yaml

$ oc new-app https://github.com/openshift/ruby-hello-world --name=myapp

$ oc new-app https://github.com/openshift/ruby-hello-world -n myproject

$ oc new-app https://github.com/openshift/ruby-hello-world mysql

$ oc new-app ruby+mysql

$ oc new-app \
    ruby~https://github.com/openshift/ruby-hello-world \
    mysql \
    --group=ruby+mysql

apiVersion: v1
items:
- apiVersion: v1
  kind: Project  1
  metadata:
    name: myapp
    annotations:
      openshift.io/node-selector: region=west  2
- apiVersion: v1
  kind: ImageStream
  ...
kind: List
metadata: {}

This topic reviews how to migrate MySQL, PostgreSQL, and MongoDB database applications from OpenShift version 2 (v2) to OpenShift version 3 (v3).

Supported MySQL Environment Variables

Supported PostgreSQL Environment Variables

Supported MongoDB Environment Variables

This topic reviews how to migrate Python, Ruby, PHP, Perl, Node.js, JBoss EAP, JBoss WS (Tomcat), and Wildfly 10 (JBoss AS) web framework applications from OpenShift version 2 (v2) to OpenShift version 3 (v3).

Supported Python Versions

Supported Ruby Versions

Supported PHP Versions

$ oc new-app https://github.com/<github-id>/<repo-name>.git

Supported Perl Versions

Supported Node.js Versions

Although there is no clear-cut migration path for v2 quickstart to v3 quickstart, the following quickstarts are currently available in v3. If you have an application with a database, rather than using oc new-app to create your application, then oc new-app again to start a separate database service and linking the two with common environment variables, you can use one of the following to instantiate the linked application and database at once, from your GitHub repository containing your source code. You can list all available templates with oc get templates -n openshift:

Run a git clone of one of the above template URLs locally. Add and commit your application source code and push a GitHub repository, then start a v3 quickstart application from one of the templates listed above:

This topic reviews the differences in continuous integration and deployment (CI/CD) applications between OpenShift version 2 (v2) and OpenShift version 3 (v3) and how to migrate these applications into the v3 environment.

The Jenkins applications in OpenShift version 2 (v2) and OpenShift version 3 (v3) are configured differently due to fundamental differences in architecture. For example, in v2, the application uses an integrated Git repository that is hosted in the gear to store the source code. In v3, the source code is located in a public or private Git repository that is hosted outside of the pod.

Furthermore, in OpenShift v3, Jenkins jobs can not only be triggered by source code changes, but also by changes in ImageStream, which are changes on the images that are used to build the application along with its source code. As a result, it is highly recommended that you migrate the Jenkins application manually by creating a new Jenkins application in v3, and then re-creating jobs with the configurations that are suitable to OpenShift v3 environment.

Consult these resources for more information on how to create a Jenkins application, configure jobs, and use Jenkins plug-ins properly:

This topic reviews the differences in webhooks and action hooks between OpenShift version 2 (v2) and OpenShift version 3 (v3) and how to migrate these applications into the v3 environment.

You should see a message from GitHub stating that your webhook was successfully configured.

Now, whenever you push a change to your GitHub repository, a new build will automatically start, and upon a successful build a new deployment will start.

In OpenShift version 2 (v2), there are build, deploy, post_deploy, and pre_build scripts or action_hooks that are located in the .openshift/action_hooks directory. While there is no one-to-one mapping of function for these in v3, the S2I tool in v3 does have the option of adding customizable scripts, either in a designated URL or in the .s2i/bin directory of your source repository.

OpenShift version 3 (v3) also offers a post-build hook for running basic testing of an image after it is built and before it is pushed to the registry. Deployment hooks are configured in the deployment configuration.

In v2, action_hooks are commonly used to set up environment variables. In v2, any environment variables should be passed with:

$ oc new-app <source-url> -e ENV_VAR=env_var

or:

$ oc new-app <template-name> -p ENV_VAR=env_var

Also, environment variables can be added or changed using:

$ oc set env dc/<name-of-dc>
ENV_VAR1=env_var1 ENV_VAR2=env_var2’

The Source-to-Image (S2I) tool injects application source code into a container image and the final product is a new and ready-to-run container image that incorporates the builder image and built source code. The S2I tool can be installed on your local machine without OpenShift Enterprise from the repository.

The S2I tool is a very powerful tool to test and verify your application and images locally before using them on OpenShift Enterprise.

This topic reviews supported languages, frameworks, databases, and markers for OpenShift version 2 (v2) and OpenShift version 3 (v3).

See the Supported Databases section of the Database Applications topic.

A quickstart is a basic example of an application running on OpenShift Enterprise. Quickstarts come in a variety of languages and frameworks, and are defined in a template, which is constructed from a set of services, build configurations, and deployment configurations. This template references the necessary images and source repositories to build and deploy the application.

To explore a quickstart, create an application from a template. Your administrator may have already installed these templates in your OpenShift Enterprise cluster, in which case you can simply select it from the web console. See the template documentation for more information on how to upload, create from, and modify a template.

Quickstarts refer to a source repository that contains the application source code. To customize the quickstart, fork the repository and, when creating an application from the template, substitute the default source repository name with your forked repository. This results in builds that are performed using your source code instead of the provided example source. You can then update the code in your source repository and launch a new build to see the changes reflected in the deployed application.

These quickstarts provide a basic application of the indicated framework and language:

Ruby on Rails is a popular web framework written in Ruby. This guide covers using Rails 4 on OpenShift Enterprise.

For this guide you will need:

First make sure that an instance of OpenShift Enterprise is running and is available. For more info on how to get OpenShift Enterprise up and running check the installation methods. Also make sure that your oc CLI client is installed and the command is accessible from your command shell, so you can use it to log in using your email address and password.

$ sudo yum install -y postgresql postgresql-server postgresql-devel

$ sudo postgresql-setup initdb

$ sudo systemctl start postgresql.service

$ sudo -u postgres createuser -s rails

If you are starting your Rails application from scratch, you need to install the Rails gem first.

$ gem install rails
Successfully installed rails-4.2.0
1 gem installed

After you install the Rails gem create a new application, with PostgreSQL as your database:

$ rails new rails-app --database=postgresql

Then change into your new application directory.

$ cd rails-app

If you already have an application, make sure the pg (postgresql) gem is present in your Gemfile. If not edit your Gemfile by adding the gem:

gem 'pg'

To generate a new Gemfile.lock with all your dependencies run:

$ bundle install

In addition to using the postgresql database with the pg gem, you’ll also need to ensure the config/database.yml is using the postgresql adapter.

Make sure you updated default section in the config/database.yml file, so it looks like this:

default: &default
  adapter: postgresql
  encoding: unicode
  pool: 5
  host: localhost
  username: rails
  password:

Create your application’s development and test databases by using this rake command:

$ rake db:create

This will create development and test database in your PostgreSQL server.

$ rails generate controller welcome index

root 'welcome#index'

$ rails server

<% user = ENV.key?("POSTGRESQL_ADMIN_PASSWORD") ? "root" : ENV["POSTGRESQL_USER"] %>
<% password = ENV.key?("POSTGRESQL_ADMIN_PASSWORD") ? ENV["POSTGRESQL_ADMIN_PASSWORD"] : ENV["POSTGRESQL_PASSWORD"] %>
<% db_service = ENV.fetch("DATABASE_SERVICE_NAME","").upcase %>

default: &default
  adapter: postgresql
  encoding: unicode
  # For details on connection pooling, see rails configuration guide
  # http://guides.rubyonrails.org/configuring.html#database-pooling
  pool: <%= ENV["POSTGRESQL_MAX_CONNECTIONS"] || 5 %>
  username: <%= user %>
  password: <%= password %>
  host: <%= ENV["#{db_service}_SERVICE_HOST"] %>
  port: <%= ENV["#{db_service}_SERVICE_PORT"] %>
  database: <%= ENV["POSTGRESQL_DATABASE"] %>

$ ls -1
app
bin
config
config.ru
db
Gemfile
Gemfile.lock
lib
log
public
Rakefile
README.rdoc
test
tmp
vendor

$ git init
$ git add .
$ git commit -m "initial commit"

$ git remote add origin git@github.com:<namespace/repository-name>.git

$ git push

To deploy your Ruby on Rails application, create a new Project for the application:

$ oc new-project rails-app --description="My Rails application" --display-name="Rails Application"

After creating the the rails-app project, you will be automatically switched to the new project namespace.

Deploying your application in OpenShift Enterprise involves three steps:

$ oc new-app postgresql -e POSTGRESQL_DATABASE=db_name -e POSTGRESQL_USER=username -e POSTGRESQL_PASSWORD=password

-e POSTGRESQL_ADMIN_PASSWORD=admin_pw

$ oc get pods --watch

$ oc new-app path/to/source/code --name=rails-app -e POSTGRESQL_USER=username -e POSTGRESQL_PASSWORD=password -e POSTGRESQL_DATABASE=db_name -e DATABASE_SERVICE_NAME=postgresql

$ oc get dc rails-app -o json

env": [
    {
        "name": "POSTGRESQL_USER",
        "value": "username"
    },
    {
        "name": "POSTGRESQL_PASSWORD",
        "value": "password"
    },
    {
        "name": "POSTGRESQL_DATABASE",
        "value": "db_name"
    },
    {
    "name": "DATABASE_SERVICE_NAME",
    "value": "postgresql"
    }
],

$ oc logs -f build rails-app-1

$ oc get pods

$ oc rsh <FRONTEND_POD_ID>

$ RAILS_ENV=production bundle exec rake db:migrate

$ oc expose service rails-app --hostname=www.example.com

Labels are used to manage and organize generated objects, such as pods. The labels specified in the template are applied to every object that is generated from the template.

There is also the ability to add labels in the template from the command line.

$ oc process -f <filename> -l name=otherLabel

The list of parameters that you can override are listed in the parameters section of the template. You can list them with the CLI by using the following command and specifying the file to be used:

$ oc process --parameters -f <filename>

Alternatively, if the template is already uploaded:

$ oc process --parameters -n <project> <template_name>

For example, the following shows the output when listing the parameters for one of the Quickstart templates in the default openshift project:

$ oc process --parameters -n openshift rails-postgresql-example
NAME                         DESCRIPTION                                                                                              GENERATOR           VALUE
SOURCE_REPOSITORY_URL        The URL of the repository with your application source code                                                                  https://github.com/openshift/rails-ex.git
SOURCE_REPOSITORY_REF        Set this to a branch name, tag or other ref of your repository if you are not using the default branch
CONTEXT_DIR                  Set this to the relative path to your project if it is not in the root of your repository
APPLICATION_DOMAIN           The exposed hostname that will route to the Rails service                                                                    rails-postgresql-example.openshiftapps.com
GITHUB_WEBHOOK_SECRET        A secret string used to configure the GitHub webhook                                                     expression          [a-zA-Z0-9]{40}
SECRET_KEY_BASE              Your secret key for verifying the integrity of signed cookies                                            expression          [a-z0-9]{127}
APPLICATION_USER             The application user that is used within the sample application to authorize access on pages                                 openshift
APPLICATION_PASSWORD         The application password that is used within the sample application to authorize access on pages                             secret
DATABASE_SERVICE_NAME        Database service name                                                                                                        postgresql
POSTGRESQL_USER              database username                                                                                        expression          user[A-Z0-9]{3}
POSTGRESQL_PASSWORD          database password                                                                                        expression          [a-zA-Z0-9]{8}
POSTGRESQL_DATABASE          database name                                                                                                                root
POSTGRESQL_MAX_CONNECTIONS   database max connections                                                                                                     10
POSTGRESQL_SHARED_BUFFERS    database shared buffers                                                                                                      12MB

The output identifies several parameters that are generated with a regular expression-like generator when the template is processed.

Using the CLI, you can process a file defining a template to return the list of objects to standard output:

$ oc process -f <filename>

Alternatively, if the template has already been uploaded to the current project:

$ oc process <template_name>

The process command also takes a list of templates you can process to a list of objects. In that case, every template will be processed and the resulting list of objects will contain objects from all templates passed to a process command:

$ cat <first_template> <second_template> | oc process -f -

You can create objects from a template by processing the template and piping the output to oc create:

$ oc process -f <filename> | oc create -f -

Alternatively, if the template has already been uploaded to the current project:

$ oc process <template> | oc create -f -

You can override any parameter values defined in the file by adding the -v option followed by a comma-separated list of <name>=<value> pairs. A parameter reference may appear in any text field inside the template items.

For example, in the following the POSTGRESQL_USER and POSTGRESQL_DATABASE parameters of a template are overridden to output a configuration with customized environment variables:

$ oc process -f my-rails-postgresql \
    -v POSTGRESQL_USER=bob,POSTGRESQL_DATABASE=mydatabase

The JSON file can either be redirected to a file or applied directly without uploading the template by piping the processed output to the oc create command:

$ oc process -f my-rails-postgresql \
    -v POSTGRESQL_USER=bob,POSTGRESQL_DATABASE=mydatabase \
    | oc create -f -

The template description covers information that informs users what your template does and helps them find it when searching in the web console. In addition to general descriptive information, it includes a set of tags. Useful tags include the name of the language your template is related to (e.g., java, php, ruby, etc.). In addition, adding the special tag instant-app causes your template to be displayed in the list of Instant Apps on the template selection page of the web console.

kind: "Template"
apiVersion: "v1"
metadata:
  name: "cakephp-mysql-example" 1
  annotations:
    description: "An example CakePHP application with a MySQL database" 2
    tags: "instant-app,php,cakephp,mysql" 3
    iconClass: "icon-php" 4

Templates can include a set of labels. These labels will be added to each object created when the template is instantiated. Defining a label in this way makes it easy for users to find and manage all the objects created from a particular template.

kind: "Template"
apiVersion: "v1"
...
labels:
  template: "cakephp-mysql-example" 1

Parameters allow a value to be supplied by the user or generated when the template is instantiated. This is useful for generating random passwords or allowing the user to supply a host name or other user-specific value that is required to customize the template. Parameters can be referenced by placing values in the form "${PARAMETER_NAME}" in place of any string field in the template.

kind: Template
apiVersion: v1
objects:
  - kind: BuildConfig
    apiVersion: v1
    metadata:
      name: cakephp-mysql-example
      annotations:
        description: Defines how to build the application
    spec:
      source:
        type: Git
        git:
          uri: "${SOURCE_REPOSITORY_URL}" 1
          ref: "${SOURCE_REPOSITORY_REF}"
        contextDir: "${CONTEXT_DIR}"
parameters:
  - name: SOURCE_REPOSITORY_URL 2
    description: The URL of the repository with your application source code 3
    value: https://github.com/openshift/cakephp-ex.git 4
    required: true 5
  - name: GITHUB_WEBHOOK_SECRET
    description: A secret string used to configure the GitHub webhook
    generate: expression 6
    from: "[a-zA-Z0-9]{40}" 7

The main portion of the template is the list of objects which will be created when the template is instantiated. This can be any valid API object, such as a BuildConfig, DeploymentConfig, Service, etc. The object will be created exactly as defined here, with any parameter values substituted in prior to creation. The definition of these objects can reference parameters defined earlier.

kind: "Template"
apiVersion: "v1"
objects:
  - kind: "Service" 1
    apiVersion: "v1"
    metadata:
      name: "cakephp-mysql-example"
      annotations:
        description: "Exposes and load balances the application pods"
    spec:
      ports:
        - name: "web"
          port: 8080
          targetPort: 8080
      selector:
        name: "cakephp-mysql-example"

Rather than writing an entire template from scratch, you can also export existing objects from your project in template form, and then modify the template from there by adding parameters and other customizations. To export objects in a project in template form, run:

$ oc export all --as-template=<template_name> > <template_filename>

You can also substitute a particular resource type or multiple resources instead of all. Run oc export -h for more examples.

The object types included in oc export all are:

By default, if the builder image specified in the build configuration is available locally on the node, that image will be used. However, to override the local image and refresh it from the registry to which the image stream points, create a BuildConfig with the forcePull flag set to true:

strategy:
  type: "Source"
  sourceStrategy:
    from:
      kind: "ImageStreamTag"
      name: "builder-image:latest" 1
    forcePull: true 2

S2I can perform incremental builds, which means it reuses artifacts from previously-built images. To create an incremental build, create a BuildConfig with the following modification to the strategy definition:

strategy:
  type: "Source"
  sourceStrategy:
    from:
      kind: "ImageStreamTag"
      name: "incremental-image:latest" 1
    incremental: true 2

You can override the assemble, run, and save-artifactsS2I scripts provided by the builder image in one of two ways. Either:

strategy:
  type: "Source"
  sourceStrategy:
    from:
      kind: "ImageStreamTag"
      name: "builder-image:latest"
    scripts: "http://somehost.com/scripts_directory" 1

There are two ways to make environment variables available to the source build process and resulting image: environment files and BuildConfig environment values.

sourceStrategy:
...
  env:
    - name: "DISABLE_ASSET_COMPILATION"
      value: "true"

The FROM instruction of the Dockerfile will be replaced by the from of the BuildConfig:

strategy:
  type: Docker
  dockerStrategy:
    from:
      kind: "ImageStreamTag"
      name: "debian:latest"

By default, Docker builds use a Dockerfile (named Dockerfile) located at the root of the context specified in the BuildConfig.spec.source.contextDir field.

The dockerfilePath field allows the build to use a different path to locate your Dockerfile, relative to the BuildConfig.spec.source.contextDir field. It can be simply a different file name other than the default Dockerfile (for example, MyDockerfile), or a path to a Dockerfile in a subdirectory (for example, dockerfiles/app1/Dockerfile):

strategy:
  type: Docker
  dockerStrategy:
    dockerfilePath: dockerfiles/app1/Dockerfile

Docker builds normally reuse cached layers found on the host performing the build. Setting the noCache option to true forces the build to ignore cached layers and rerun all steps of the Dockerfile:

strategy:
  type: "Docker"
  dockerStrategy:
    noCache: true

By default, if the builder image specified in the build configuration is available locally on the node, that image will be used. However, to override the local image and refresh it from the registry to which the image stream points, create a BuildConfig with the forcePull flag set to true:

strategy:
  type: "Docker"
  dockerStrategy:
    forcePull: true 1

To make environment variables available to the Docker build process and resulting image, you can add environment variables to the dockerStrategy definition of the BuildConfig.

The environment variables defined there are inserted as a single ENV Dockerfile instruction right after the FROM instruction, so that it can be referenced later on within the Dockerfile.

The variables are defined during build and stay in the output image, therefore they will be present in any container that runs that image as well.

For example, defining a custom HTTP proxy to be used during build and runtime:

dockerStrategy:
...
  env:
    - name: "HTTP_PROXY"
      value: "http://myproxy.net:5187/"

Cluster administrators can also configure global build settings using Ansible.

Use the customStrategy.from section to indicate the image to use for the custom build:

strategy:
  type: "Custom"
  customStrategy:
    from:
      kind: "DockerImage"
      name: "openshift/sti-image-builder"

In order to allow the running of Docker commands and the building of container images from inside the container, the build container must be bound to an accessible socket. To do so, set the exposeDockerSocket option to true:

strategy:
  type: "Custom"
  customStrategy:
    exposeDockerSocket: true

In addition to secrets for source and images that can be added to all build types, custom strategies allow adding an arbitrary list of secrets to the builder pod.

Each secret can be mounted at a specific location:

strategy:
  type: "Custom"
  customStrategy:
    secrets:
      - secretSource: 1
          name: "secret1"
        mountPath: "/tmp/secret1" 2
      - secretSource:
          name: "secret2"
        mountPath: "/tmp/secret2"

By default, when setting up the build pod, the build controller checks if the image specified in the build configuration is available locally on the node. If so, that image will be used. However, to override the local image and refresh it from the registry to which the image stream points, create a BuildConfig with the forcePull flag set to true:

strategy:
  type: "Custom"
  customStrategy:
    forcePull: true 1

To make environment variables available to the Custom build process, you can add environment variables to the customStrategy definition of the BuildConfig.

The environment variables defined there are passed to the pod that runs the custom build.

For example, defining a custom HTTP proxy to be used during build:

customStrategy:
...
  env:
    - name: "HTTP_PROXY"
      value: "http://myproxy.net:5187/"

Cluster administrators can also configure global build settings using Ansible.

If your Git repository can only be accessed using a proxy, you can define the proxy to use in the source section of the BuildConfig. You can configure both a HTTP and HTTPS proxy to use. Both fields are optional.

source:
  type: Git
  git:
    uri: "https://github.com/openshift/ruby-hello-world"
    httpProxy: http://proxy.example.com
    httpsProxy: https://proxy.example.com

Cluster administrators can also configure a global proxy for Git cloning using Ansible.

Supply valid credentials to build an application from a private repository.

Currently two types of authentication are supported: basic username-password and SSH key based authentication.

$ ssh-keygen -t rsa -C "your_email@example.com"

When using a Source strategy, all defined source secrets are copied to their respective destinationDir. If you left destinationDir empty, then the secrets are placed in the working directory of the builder image. The same rule is used when a destinationDir is a relative path; the secrets are placed in the paths that are relative to the image’s working directory. The destinationDir must exist or an error will occur. No directory paths are created during the copy process.

When using a Docker strategy, you can add all defined source secrets into your container image using the ADD and COPY instructions in your Dockerfile. If you do not specify the destinationDir for a secret, then the files will be copied into the same directory in which the Dockerfile is located. If you specify a relative path as destinationDir, then the secrets will be copied into that directory, relative to your Dockerfile location. This makes the secret files available to the Docker build operation as part of the context directory used during the build.

When using a Custom strategy, then all the defined source secrets are available inside the builder container in the /var/run/secrets/openshift.io/build directory. The custom build image is responsible for using these secrets appropriately. The Custom strategy also allows secrets to be defined as described in Secrets. There is no technical difference between existing strategy secrets and the source secrets. However, your builder image might distinguish between them and use them differently, based on your build use case. The source secrets are always mounted into the /var/run/secrets/openshift.io/build directory or your builder can parse the $BUILD environment variable, which includes the full build object.

Webhook triggers allow you to trigger a new build by sending a request to the OpenShift Enterprise API endpoint. You can define these triggers using GitHub webhooks or Generic webhooks.

GitHub Webhooks

GitHub webhooks handle the call made by GitHub when a repository is updated. When defining the trigger, you must specify a secret, which will be part of the URL you supply to GitHub when configuring the webhook. The secret ensures the uniqueness of the URL, preventing others from triggering the build. The following example is a trigger definition YAML within the BuildConfig:

type: "GitHub"
github:
  secret: "secret101"

The payload URL is returned as the GitHub Webhook URL by the describe command (see below), and is structured as follows:

http://<openshift_api_host:port>/oapi/v1/namespaces/<namespace>/buildconfigs/<name>/webhooks/<secret>/github

To configure a GitHub Webhook:

Generic Webhooks

Generic webhooks can be invoked from any system capable of making a web request. As with a GitHub webhook, you must specify a secret which will be part of the URL, the caller must use to trigger the build. The secret ensures the uniqueness of the URL, preventing others from triggering the build. The following is an example trigger definition YAML within the BuildConfig:

type: "Generic"
generic:
  secret: "secret101"

To set up the caller, supply the calling system with the URL of the generic webhook endpoint for your build:

http://<openshift_api_host:port>/oapi/v1/namespaces/<namespace>/buildconfigs/<name>/webhooks/<secret>/generic

The endpoint can accept an optional payload with the following format:

type: "git"
git:
  uri: "<url to git repository>"
  ref: "<optional git reference>"
  commit: "<commit hash identifying a specific git commit>"
  author:
    name: "<author name>"
    email: "<author e-mail>"
  committer:
    name: "<committer name>"
    email: "<committer e-mail>"
  message: "<commit message>"

Displaying a BuildConfig’s Webhook URLs

Use the following command to display the webhook URLs associated with a build configuration:

$ oc describe bc <name>

If the above command does not display any webhook URLs, then no webhook trigger is defined for that build configuration.

Image change triggers allow your build to be automatically invoked when a new version of an upstream image is available. For example, if a build is based on top of a RHEL image, then you can trigger that build to run any time the RHEL image changes. As a result, the application image is always running on the latest RHEL base image.

Configuring an image change trigger requires the following actions:

When using an image change trigger for the strategy image stream, the generated build is supplied with an immutable Docker tag that points to the latest image corresponding to that tag. This new image reference will be used by the strategy when it executes for the build. For other image change triggers that do not reference the strategy image stream, a new build will be started, but the build strategy will not be updated with a unique image reference.

In the example above that has an image change trigger for the strategy, the resulting build will be:

strategy:
  type: "Source"
  sourceStrategy:
    from:
      kind: "DockerImage"
      name: "172.30.17.3:5001/mynamespace/ruby-20-centos7:immutableid"

This ensures that the triggered build uses the new image that was just pushed to the repository, and the build can be re-run any time with the same inputs.

In addition to setting the image field for all Strategy types, for custom builds, the OPENSHIFT_CUSTOM_BUILD_BASE_IMAGE environment variable is checked. If it does not exist, then it is created with the immutable image reference. If it does exist then it is updated with the immutable image reference.

If a build is triggered due to a webhook trigger or manual request, the build that is created uses the immutableid resolved from the ImageStream referenced by the Strategy. This ensures that builds are performed using consistent image tags for ease of reproduction.

A configuration change trigger allows a build to be automatically invoked as soon as a new BuildConfig is created. The following is an example trigger definition YAML within the BuildConfig:

  type: "ConfigChange"

The oc set build-hook command can be used to set the build hook for a build configuration.

To set a command as the post-commit build hook:

$ oc set build-hook bc/mybc --post-commit --command -- bundle exec rake test --verbose

To set a script as the post-commit build hook:

$ oc set build-hook bc/mybc --post-commit --script="bundle exec rake test --verbose"

Setting the runPolicy field to Serial will cause all new builds created from the Build configuration to be run sequentially. That means there will be only one build running at a time and every new build will wait until the previous build completes. Using this policy will result in consistent and predictable build output. This is the default runPolicy.

Triggering three builds from the sample-build configuration, using the Serial policy will result in:

NAME             TYPE      FROM          STATUS    STARTED          DURATION
sample-build-1   Source    Git@e79d887   Running   13 seconds ago   13s
sample-build-2   Source    Git           New
sample-build-3   Source    Git           New

When the sample-build-1 build completes, the sample-build-2 build will run:

NAME             TYPE      FROM          STATUS    STARTED          DURATION
sample-build-1   Source    Git@e79d887   Completed 43 seconds ago   34s
sample-build-2   Source    Git@1aa381b   Running   2 seconds ago    2s
sample-build-3   Source    Git           New

Setting the runPolicy field to SerialLatestOnly will cause all new builds created from the Build configuration to be run sequentially, same as using the Serial run policy. The difference is that when a currently running build completes, the next build that will run is the latest build created. In other words, you do not wait for the queued builds to run, as they are skipped. Skipped builds are marked as Cancelled. This policy can be used for fast, iterative development.

Triggering three builds from the sample-build configuration, using the SerialLatestOnly policy will result in:

NAME             TYPE      FROM          STATUS    STARTED          DURATION
sample-build-1   Source    Git@e79d887   Running   13 seconds ago   13s
sample-build-2   Source    Git           Cancelled
sample-build-3   Source    Git           New

The sample-build-2 build will be canceled (skipped) and the next build run after sample-build-1 completes will be the sample-build-3 build:

NAME             TYPE      FROM          STATUS    STARTED          DURATION
sample-build-1   Source    Git@e79d887   Completed 43 seconds ago   34s
sample-build-2   Source    Git           Cancelled
sample-build-3   Source    Git@1aa381b   Running   2 seconds ago    2s

Setting the runPolicy field to Parallel causes all new builds created from the Build configuration to be run in parallel. This can produce unpredictable results, as the first created build can complete last, which will replace the pushed container image produced by the last build which completed earlier.

Use the parallel run policy in cases where you do not care about the order in which the builds will complete.

Triggering three builds from the sample-build configuration, using the Parallel policy will result in three simultaneous builds:

NAME             TYPE      FROM          STATUS    STARTED          DURATION
sample-build-1   Source    Git@e79d887   Running   13 seconds ago   13s
sample-build-2   Source    Git@a76d881   Running   15 seconds ago   3s
sample-build-3   Source    Git@689d111   Running   17 seconds ago   3s

The completion order is not guaranteed:

NAME             TYPE      FROM          STATUS    STARTED          DURATION
sample-build-1   Source    Git@e79d887   Running   13 seconds ago   13s
sample-build-2   Source    Git@a76d881   Running   15 seconds ago   3s
sample-build-3   Source    Git@689d111   Completed 17 seconds ago   5s

Docker and Source builds set the following environment variables on output images:

Docker and Source builds set the following labels on output images:

Keeping in mind that an image stream in OpenShift Enterprise comprises zero or more container images identified by tags, you can add tags to an image stream using the oc tag command:

$ oc tag <source> <destination>

For example, to configure the ruby image’s latest tag to always refer to the current image for the tag 2.0:

$ oc tag ruby:latest ruby:2.0

There are different types of tags available. The default behavior uses a permanent tag, which points to a specific image in time; even when the source changes, it will not reflect in the destination tag.

A tracking tag means the destination tag’s metadata will be imported during the import. To ensure the destination tag is updated whenever the source tag changes, use the --alias=true flag:

$ oc tag --alias=true <source> <destination>

You can also add the --scheduled=true flag to have the destination tag be refreshed (i.e., re-imported) periodically. The period is configured globally at the system level. See Importing Tag and Image Metadata for more details.

You can stop tracking a tag by removing the tag. For example, to stop tracking an existing latest tag:

$ oc tag -d ruby:latest

However, while the above command removes the tag from the image stream definition, it does not remove it from the image stream status. The image stream definition is user-defined, whereas the image stream status reflects the information the system has from the specification.

To remove a tag completely from an image stream:

$ oc delete istag/ruby:latest

Images can be referenced in image streams using the following reference types:

When viewing example image stream definitions, such as the example CentOS image streams, you may notice they contain definitions of ImageStreamTag and references to DockerImage, but nothing related to ImageStreamImage.

This is because the ImageStreamImage objects are automatically created in OpenShift Enterprise whenever you import or tag an image into the image stream. You should never have to explicitly define an ImageStreamImage object in any image stream definition that you use to create image streams.

You can view an image’s object definition by retrieving an ImageStreamImage definition using the image stream name and ID:

$ oc export isimage <image_stream_name>@<id>

$ oc describe is <image_stream_name>

For example, from the ruby image stream asking for the ImageStreamImage with the name and ID of ruby@3a335d7:

$ oc export isimage ruby@3a335d7

apiVersion: v1
image:
  dockerImageLayers:
  - name: sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4
    size: 0
  - name: sha256:ee1dd2cb6df21971f4af6de0f1d7782b81fb63156801cfde2bb47b4247c23c29
    size: 196634330
  - name: sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4
    size: 0
  - name: sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4
    size: 0
  - name: sha256:ca062656bff07f18bff46be00f40cfbb069687ec124ac0aa038fd676cfaea092
    size: 177723024
  - name: sha256:63d529c59c92843c395befd065de516ee9ed4995549f8218eac6ff088bfa6b6e
    size: 55679776
  dockerImageMetadata:
    Architecture: amd64
    Author: SoftwareCollections.org <sclorg@redhat.com>
    Config:
      Cmd:
      - /bin/sh
      - -c
      - $STI_SCRIPTS_PATH/usage
      Entrypoint:
      - container-entrypoint
      Env:
      - 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: {}
      Image: d9c3abc5456a9461954ff0de8ae25e0e016aad35700594714d42b687564b1f51
      Labels:
        build-date: 2015-12-23
        io.k8s.description: Platform for building and running Ruby 2.2 applications
        io.k8s.display-name: Ruby 2.2
        io.openshift.builder-base-version: 8d95148
        io.openshift.builder-version: 8847438ba06307f86ac877465eadc835201241df
        io.openshift.expose-services: 8080:http
        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
    ContainerConfig: {}
    Created: 2016-01-26T21:07:27Z
    DockerVersion: 1.8.2-el7
    Id: 57b08d979c86f4500dc8cad639c9518744c8dd39447c055a3517dc9c18d6fccd
    Parent: d9c3abc5456a9461954ff0de8ae25e0e016aad35700594714d42b687564b1f51
    Size: 430037130
    apiVersion: "1.0"
    kind: DockerImage
  dockerImageMetadataVersion: "1.0"
  dockerImageReference: centos/ruby-22-centos7@sha256:3a335d7d8a452970c5b4054ad7118ff134b3a6b50a2bb6d0c07c746e8986b28e
  metadata:
    creationTimestamp: 2016-01-29T13:17:45Z
    name: sha256:3a335d7d8a452970c5b4054ad7118ff134b3a6b50a2bb6d0c07c746e8986b28e
    resourceVersion: "352"
    uid: af2e7a0c-c68a-11e5-8a99-525400f25e34
kind: ImageStreamImage
metadata:
  creationTimestamp: null
  name: ruby@3a335d7
  namespace: openshift
  selflink: /oapi/v1/namespaces/openshift/imagestreamimages/ruby@3a335d7

When using the internal registry, to allow pods in project-a to reference images in project-b, a service account in project-a must be bound to the system:image-puller role in project-b:

$ oc policy add-role-to-user \
    system:image-puller system:serviceaccount:project-a:default \
    --namespace=project-b

After adding that role, the pods in project-a that reference the default service account will be able to pull images from project-b.

To allow access for any service account in project-a, use the group:

$ oc policy add-role-to-group \
    system:image-puller system:serviceaccounts:project-a \
    --namespace=project-b

The .dockercfg file (or $HOME/.docker/config.json for newer Docker clients) is a Docker credentials file that stores your information if you have previously logged into a secured or insecure registry.

To pull a secured container image that is not from OpenShift Enterprise’s internal registry, you must create a pull secret from your Docker credentials and add it to your service account.

If you already have a .dockercfg file for the secured registry, you can create a secret from that file by running:

$ oc secrets new <pull_secret_name> .dockercfg=<path/to/.dockercfg>

Or if you have a $HOME/.docker/config.json file:

$ oc secrets new <pull_secret_name> .dockerconfigjson=<path/to/.docker/config.json>

If you do not already have a Docker credentials file for the secured registry, you can create a secret by running:

$ oc secrets new-dockercfg <pull_secret_name> \
    --docker-server=<registry_server> --docker-username=<user_name> \
    --docker-password=<password> --docker-email=<email>

To use a secret for pulling images for pods, you must add the secret to your service account. The name of the service account in this example should match the name of the service account the pod will use; default is the default service account:

$ oc secrets add serviceaccount/default secrets/<pull_secret_name> --for=pull

To use a secret for pushing and pulling build images, the secret must be mountable inside of a pod. You can do this by running:

$ oc secrets add serviceaccount/builder secrets/<pull_secret_name>

An image stream can be configured to import tag and image metadata from insecure image registries, such as those signed with a self-signed certificate or using plain HTTP instead of HTTPS.

To configure this, add the openshift.io/image.insecureRepository annotation and set it to true. This setting bypasses certificate validation when connecting to the registry:

kind: ImageStream
apiVersion: v1
metadata:
  name: ruby
  annotations:
    openshift.io/image.insecureRepository: "true" 1
  spec:
    dockerImageRepository: my.repo.com:5000/myimage

Additionally, you can specify a single tag using an insecure repository. To do so, set importPolicy.insecure in the tag’s definition to true:

kind: ImageStream
apiVersion: v1
metadata:
  name: ruby
  tags:
  - from:
      kind: DockerImage
      name: my.repo.com:5000/myimage
    name: mytag
    importPolicy:
      insecure: true 1

An image stream can be configured to import tag and image metadata from private image registries, requiring authentication.

To configure this, you need to create a secret which is used to store your credentials.

Create the secret first, before importing the image from the private repository:

$ oc secrets new-dockercfg <secret_name> \
    --docker-server=<docker_registry_server> \
    --docker-username=<docker_user> \
    --docker-password=<docker_password> \
    --docker-email=<docker_email>

For more options, see:

$ oc secrets new-dockercfg --help

After the secret is configured, proceed with creating the new image stream or using the oc import-image command. During the import process, OpenShift Enterprise will pick up the secrets and provide them to the remote party.

An image stream can be configured to import tag and image metadata from the internal registry, but from a different project. The recommended method for this is to use the oc tag command as shown in Adding Tags to Image Streams:

$ oc tag <source_project>/<image_stream>:<tag> <new_image_stream>:<new_tag>

Another method is to import the image from the other project manually using the pull spec:

An image stream can also be automatically created by manually pushing an image to the internal registry. This is only possible when using an OpenShift Enterprise internal registry.

Before performing this procedure, the following must be satisfied:

To create an image stream by manually pushing an image:

You can view usage statistics related to any hard limits defined in a project’s quota by navigating in the web console to the project’s Settings tab.

You can also use the CLI to view quota details:

Full quota definitions can be viewed by running oc export on the object. The following show some sample quota definitions:

apiVersion: v1
kind: ResourceQuota
metadata:
  name: object-counts
spec:
  hard:
    configmaps: "10" 1
    persistentvolumeclaims: "4" 2
    replicationcontrollers: "20" 3
    secrets: "10" 4
    services: "10" 5

apiVersion: v1
kind: ResourceQuota
metadata:
  name: compute-resources
spec:
  hard:
    pods: "4" 1
    requests.cpu: "1" 2
    requests.memory: 1Gi 3
    limits.cpu: "2" 4
    limits.memory: 2Gi 5

apiVersion: v1
kind: ResourceQuota
metadata:
  name: besteffort
spec:
  hard:
    pods: "1" 1
  scopes:
  - BestEffort 2

apiVersion: v1
kind: ResourceQuota
metadata:
  name: compute-resources-long-running
spec:
  hard:
    pods: "4" 1
    limits.cpu: "4" 2
    limits.memory: "2Gi" 3
  scopes:
  - NotTerminating 4

apiVersion: v1
kind: ResourceQuota
metadata:
  name: compute-resources-time-bound
spec:
  hard:
    pods: "2" 1
    limits.cpu: "1" 2
    limits.memory: "1Gi" 3
  scopes:
  - Terminating 4

The following describes the set of compute resources and object types that may be managed by a quota.

Each quota can have an associated set of scopes. A quota will only measure usage for a resource if it matches the intersection of enumerated scopes.

Adding a scope to a quota restricts the set of resources to which that quota can apply. Specifying a resource outside of the allowed set results in a validation error.

A BestEffort scope restricts a quota to limiting the following resources:

A Terminating, NotTerminating, or NotBestEffort scope restricts a quota to tracking the following resources:

After a resource quota for a project is first created, the project restricts the ability to create any new resources that may violate a quota constraint until it has calculated updated usage statistics.

After a quota is created and usage statistics are updated, the project accepts the creation of new content. When you create or modify resources, your quota usage is incremented immediately upon the request to create or modify the resource.

When you delete a resource, your quota use is decremented during the next full recalculation of quota statistics for the project. If project modifications exceed a quota usage limit, the server denies the action. An appropriate error message is returned explaining the quota constraint violated, and what your currently observed usage stats are in the system.

When allocating compute resources, each container may specify a request and a limit value each for CPU and memory. Quotas can restrict any of these values.

If the quota has a value specified for requests.cpu or requests.memory, then it requires that every incoming container make an explicit request for those resources. If the quota has a value specified for limits.cpu or limits.memory, then it requires that every incoming container specify an explicit limit for those resources.

See Compute Resources for more on setting requests and limits in pods and containers.

You can view any limit ranges defined in a project by navigating in the web console to the project’s Settings tab.

You can also use the CLI to view limit range details:

Full limit range definitions can be viewed by running oc export on the object. The following shows an example limit range definition:

apiVersion: "v1"
kind: "LimitRange"
metadata:
  name: "resource-limits" 1
spec:
  limits:
    -
      type: "Pod"
      max:
        cpu: "2" 2
        memory: "1Gi" 3
      min:
        cpu: "200m" 4
        memory: "6Mi" 5
    -
      type: "Container"
      max:
        cpu: "2" 6
        memory: "1Gi" 7
      min:
        cpu: "100m" 8
        memory: "4Mi" 9
      default:
        cpu: "300m" 10
        memory: "200Mi" 11
      defaultRequest:
        cpu: "200m" 12
        memory: "100Mi" 13
      maxLimitRequestRatio:
        cpu: "10" 14

Supported Resources:

Supported Constraints:

Per container, the following must hold true if specified:

Supported Defaults:

Supported Resources:

Supported Constraints:

Across all containers in a pod, the following must hold true:

Each container in a pod can specify the amount of CPU it requests on a node. The scheduler uses CPU requests to find a node with an appropriate fit for a container.

The CPU request represents a minimum amount of CPU that your container may consume, but if there is no contention for CPU, it can use all available CPU on the node. If there is CPU contention on the node, CPU requests provide a relative weight across all containers on the system for how much CPU time the container may use.

On the node, CPU requests map to Kernel CFS shares to enforce this behavior.

To view compute resources for a pod:

$ oc describe pod ruby-hello-world-tfjxt
Name:       ruby-hello-world-tfjxt
Namespace:      default
Image(s):     ruby-hello-world
Node:       /
Labels:       run=ruby-hello-world
Status:       Pending
Reason:
Message:
IP:
Replication Controllers:  ruby-hello-world (1/1 replicas created)
Containers:
  ruby-hello-world:
    Container ID:
    Image ID:
    Image:    ruby-hello-world
    QoS Tier:
      cpu:  Burstable
      memory: Burstable
    Limits:
      cpu:  200m
      memory: 400Mi
    Requests:
      cpu:    100m
      memory:   200Mi
    State:    Waiting
    Ready:    False
    Restart Count:  0
    Environment Variables:

Each container in a pod can specify the amount of CPU it is limited to use on a node. CPU limits control the maximum amount of CPU that your container may use independent of contention on the node. If a container attempts to exceed the specified limit, the system will throttle the container. This allows the container to have a consistent level of service independent of the number of pods scheduled to the node.

By default, a container is able to consume as much memory on the node as possible. In order to improve placement of pods in the cluster, specify the amount of memory required for a container to run. The scheduler will then take available node memory capacity into account prior to binding your pod to a node. A container is still able to consume as much memory on the node as possible even when specifying a request.

If you specify a memory limit, you can constrain the amount of memory the container can use. For example, if you specify a limit of 200Mi, a container will be limited to using that amount of memory on the node. If the container exceeds the specified memory limit, it will be terminated and potentially restarted dependent upon the container restart policy.

A compute resource is classified with a quality of service (QoS) based on the specified request and limit value.

A container may have a different quality of service for each compute resource. For example, a container can have Burstable CPU and Guaranteed memory qualities of service.

The quality of service has different impacts on different resources, depending on whether the resource is compressible or not. CPU is a compressible resource, whereas memory is an incompressible resource.

To specify compute resources via the CLI:

$ oc run ruby-hello-world --image=ruby-hello-world --limits=cpu=200m,memory=400Mi --requests=cpu=100m,memory=200Mi