Chapter 2. Application Life Cycle Management

The new-app command allows you to create applications from 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

To create an application using a remote Git repository:

$ oc new-app https://github.com/sclorg/cakephp-ex

To create an application using a private remote Git repository:

$ oc new-app https://github.com/youruser/yourprivaterepo --source-secret=yoursecret

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/sclorg/s2i-ruby-container.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

The new-app command creates a build configuration, which itself creates a new application image from your source code. The new-app command typically also creates a deployment configuration to deploy the new image, and a service to provide load-balanced access to the deployment running your image.

OpenShift Container Platform automatically detects whether the Docker, Pipeline or Sourcebuild strategy should be used, and in the case of Source builds, detects an appropriate language builder image.

Build Strategy Detection

If a Jenkinsfile exists in the root or specified context directory of the source repository when creating a new application, OpenShift Container Platform generates a Pipeline build strategy. Otherwise, if a Dockerfile is found, OpenShift Container Platform generates a Docker build strategy. Otherwise, it generates a Source build strategy.

You can override the build strategy by setting the --strategy flag to either docker, pipeline or source.

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

Language Detection

If using the Source build strategy, new-app attempts to determine the language builder to use by the presence of certain files in the root or specified context directory of the repository:

After a language is detected, new-app searches the OpenShift Container Platform 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. Note that if this is done, build strategy detection and language detection are not carried out.

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 Container Platform 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 container 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 container image specification:

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

You can create an application from an existing image stream and optional image stream tag:

$ 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 Container Platform, 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 -p ADMIN_PASSWORD=mypassword

You can store your parameters in a file, then use that file with --param-file when instantiating a template. If you want to read the parameters from standard input, use --param-file=-:

$ cat helloworld.params
ADMIN_USERNAME=admin
ADMIN_PASSWORD=mypassword
$ oc new-app ruby-helloworld-sample --param-file=helloworld.params
$ cat helloworld.params | oc new-app ruby-helloworld-sample --param-file=-

The new-app command generates OpenShift Container Platform 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

$ cat postgresql.env
POSTGRESQL_USER=user
POSTGRESQL_DATABASE=db
POSTGRESQL_PASSWORD=password
$ oc new-app openshift/postgresql-92-centos7 --env-file=postgresql.env

$ cat postgresql.env | oc new-app openshift/postgresql-92-centos7 --env-file=-

$ oc new-app openshift/ruby-23-centos7 \
    --build-env HTTP_PROXY=http://myproxy.net:1337/ \
    --build-env GEM_HOME=~/.gem

$ cat ruby.env
HTTP_PROXY=http://myproxy.net:1337/
GEM_HOME=~/.gem
$ oc new-app openshift/ruby-23-centos7 --build-env-file=ruby.env

$ cat ruby.env | oc new-app openshift/ruby-23-centos7 --build-env-file=-

$ 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

$ oc new-app --search php

With regard to OpenShift Container Platform and Kubernetes resource definitions (the items newly introduced to the application inventory), there are a couple of key design points for these API objects that are relevant to revisit when considering the topic of application promotion.

First, as highlighted throughout OpenShift Container Platform documentation, every API object can be expressed via either JSON or YAML, making it easy to manage these resource definitions via traditional source control and scripting.

Also, the API objects are designed such that there are portions of the object which specify the desired state of the system, and other portions which reflect the status or current state of the system. This can be thought of as inputs and outputs. The input portions, when expressed in JSON or YAML, in particular are items that fit naturally as source control managed (SCM) artifacts.

The result of these points with respect to API objects is that with their expression as JSON or YAML files, you can treat the configuration of the application as code.

Conceivably, almost any of the API objects may be considered an application artifact by your organization. Listed below are the objects most commonly associated with deploying and managing an application:

As noted earlier, container images are now artifacts of your application. In fact, of the new applications artifacts, images and the management of images are the key pieces with respect to application promotion. In some cases, an image might encapsulate the entirety of your application, and the application promotion flow consists solely of managing the image.

Images are not typically managed in a SCM system, just as application binaries were not in previous systems. However, just as with binaries, installable artifacts and corresponding repositories (such as RPMs, RPM repositories, or Nexus) arose with similar semantics to SCMs. Therefore, constructs and terminology around image management that are similar to SCMs have emerged:

As images reside in registries, application promotion is concerned with ensuring the appropriate image exists in a registry that can be accessed from the environment that needs to run the application represented by that image.

Rather than reference images directly, application definitions typically abstract the reference into an image stream. This means the image stream will be another API object that makes up the application components. For more details on image streams, see Core Concepts.

Now that the application artifacts of note, images and API objects, have been detailed in the context of application promotion within OpenShift Container Platform, the notion of where you run your application in the various stages of your promotion pipeline is next the point of discussion.

Typically, you will consider the following heuristics in how you structure the deployment environments:

Also, some important reminders on how OpenShift Container Platform clusters and projects relate to image registries:

After deployment environments are defined, promotion flows with delineation of stages within a pipeline can be implemented. The methods and tools for constructing those promotion flow implementations are the next point of discussion.

Resources, as defined in one environment, will be exported as JSON or YAML file content in preparation for importing it into a new environment. Therefore, the expression of API objects as JSON or YAML serves as the unit of work as you promote API objects through your application pipeline. The oc CLI is used to export and import this content.

Images in OpenShift Container Platform are managed via a series of API objects as well. However, managing images are so central to application promotion that discussion of the tools and API objects most directly tied to images warrant separate discussion. Both manual and automated forms exist to assist you in managing image promotion (the propagation of images through your pipeline).

At this point, the following have been defined:

Putting together examples of application promotion flows within OpenShift Container Platform is the final step for this topic.

After you have completed development of the initial revision of your application, the next logical step is to package up the contents of the application so that you can transfer to the subsequent staging environments of your promotion pipeline.

After the initial setup of the different staging environments for your pipeline, a set of repeatable steps to validate each iteration of your application through the promotion pipeline can commence. These basic steps are taken each time the image or API objects in the source environment are changed:

Move updated images Move updated API objects Apply environment specific customizations

The OpenShift Sample job defined in the Jenkins Docker Image for OpenShift Container Platform is an example of image promotion within OpenShift Container Platform within the constructs of Jenkins. Setup for this sample is located in the OpenShift Origin source repository.

This sample includes:

The following examines the various pieces of the OpenShift Sample job in more detail: