Managing deployment processes

Managing DeploymentConfig objects

warning

As of OpenShift Container Platform 4.14, DeploymentConfig objects are deprecated. DeploymentConfig objects are still supported, but are not recommended for new installations. Only security-related and critical issues will be fixed.

Instead, use Deployment objects or another alternative to provide declarative updates for pods.

You can manage DeploymentConfig objects from the OpenShift Container Platform web console’s Workloads page or by using the oc CLI, depending on your preference.

The following procedures show CLI usage unless otherwise stated.

Starting a deployment

To begin a new rollout of your application in OpenShift Container Platform, you can start a deployment from an existing DeploymentConfig object. Use the oc rollout latest command to create a new replication controller and run the deployment process.

Procedure

1. To start a new deployment process from an existing DeploymentConfig object, run the following command:

   $ oc rollout latest dc/<name>

   note

   If a deployment process is already in progress, the command displays a message and a new replication controller will not be deployed.

Viewing a deployment

To review the rollout history of your application in OpenShift Container Platform, you can view a deployment. Use the oc rollout history and oc describe commands to inspect revisions of a DeploymentConfig object.

Procedure

1. To show details about all recently created replication controllers for the provided DeploymentConfig object, including any currently running deployment process, run the following command:

   $ oc rollout history dc/<name>

2. To view details specific to a revision, add the --revision flag:

   $ oc rollout history dc/<name> --revision=1

3. For more detailed information about a DeploymentConfig object and its latest revision, use the oc describe command:

   $ oc describe dc <name>

Retrying a deployment

To restart a failed rollout of a DeploymentConfig object in OpenShift Container Platform, you can retry the deployment. Use the oc rollout retry command to restart the same revision without creating a new deployment revision.

Procedure

1. To restart a failed deployment process:

   $ oc rollout retry dc/<name>

   If the latest revision of it was deployed successfully, the command displays a message and the deployment process is not retried.

   note

   Retrying a deployment restarts the deployment process and does not create a new deployment revision. The restarted replication controller has the same configuration it had when it failed.

Rolling back a deployment

To revert an application to a previous revision, you can perform a roll back by using the REST API, the CLI, or the web console.

Procedure

1. To rollback to the last successful deployed revision of your configuration:

   $ oc rollout undo dc/<name>

   The DeploymentConfig object’s template is reverted to match the deployment revision specified in the undo command, and a new replication controller is started. If no revision is specified with --to-revision, then the last successfully deployed revision is used.

2. Image change triggers on the DeploymentConfig object are disabled as part of the rollback to prevent accidentally starting a new deployment process soon after the rollback is complete. To re-enable the image change triggers:

   $ oc set triggers dc/<name> --auto

   note

   Deployment configs also support automatically rolling back to the last successful revision of the configuration in case the latest deployment process fails. In that case, the latest template that failed to deploy stays intact by the system and it is up to users to fix their configurations.

Executing commands inside a container

To change how a container starts in a DeploymentConfig object in OpenShift Container Platform, you can set a command and optional args in the pod template. These values override the image ENTRYPOINT and differ from lifecycle hooks, which run once per deployment at a specified time.

Procedure

1. Add the command parameters to the spec field of the DeploymentConfig object. You can also add an args field, which modifies the command (or the ENTRYPOINT if command does not exist).

   kind: DeploymentConfig
   apiVersion: apps.openshift.io/v1
   metadata:
     name: example-dc
   # ...
   spec:
     template:
   # ...
       spec:
        containers:
        - name: <container_name>
          image: 'image'
          command:
            - '<command>'
          args:
            - '<argument_1>'
            - '<argument_2>'
            - '<argument_3>'

   For example, to execute the java command with the -jar and /opt/app-root/springboots2idemo.jar arguments:

   kind: DeploymentConfig
   apiVersion: apps.openshift.io/v1
   metadata:
     name: example-dc
   # ...
   spec:
     template:
   # ...
       spec:
         containers:
           - name: example-spring-boot
             image: 'image'
             command:
               - java
             args:
               - '-jar'
               - /opt/app-root/springboots2idemo.jar
   # ...

Viewing deployment logs

To troubleshoot a rollout in OpenShift Container Platform, you can view deployment logs for a DeploymentConfig object. Use the oc logs command to stream logs from the latest revision or from an older failed deployment process.

Procedure

1. To stream the logs of the latest revision for a given DeploymentConfig object:

   $ oc logs -f dc/<name>

   If the latest revision is running or failed, the command returns the logs of the process that is responsible for deploying your pods. If it is successful, it returns the logs from a pod of your application.

2. You can also view logs from older failed deployment processes, if and only if these processes (old replication controllers and their deployer pods) exist and have not been pruned or deleted manually:

   $ oc logs --version=1 dc/<name>

Deployment triggers

A deployment trigger on a DeploymentConfig object in OpenShift Container Platform starts a new deployment process when cluster events occur. Use config change or image change triggers to roll out automatically, or leave triggers empty if you want to start deployments manually.

warning

If no triggers are defined on a DeploymentConfig object, a config change trigger is added by default. If triggers are defined as an empty field, deployments must be started manually.

Config change deployment triggers

The config change trigger results in a new replication controller whenever configuration changes are detected in the pod template of the DeploymentConfig object.

note

If a config change trigger is defined on a DeploymentConfig object, the first replication controller is automatically created soon after the DeploymentConfig object itself is created and it is not paused.

Config change deployment trigger

kind: DeploymentConfig
apiVersion: apps.openshift.io/v1
metadata:
  name: example-dc
# ...
spec:
# ...
  triggers:
    - type: "ConfigChange"

Image change deployment triggers

The image change trigger results in a new replication controller whenever the content of an image stream tag changes (when a new version of the image is pushed).

Image change deployment trigger

kind: DeploymentConfig
apiVersion: apps.openshift.io/v1
metadata:
  name: example-dc
# ...
spec:
# ...
  triggers:
    - type: "ImageChange"
      imageChangeParams:
        automatic: true
        from:
          kind: "ImageStreamTag"
          name: "origin-ruby-sample:latest"
          namespace: "myproject"
        containerNames:
          - "helloworld"

If the spec.triggers.imageChangeParams.automatic field is set to true, the trigger is enabled. If false, the trigger is disabled.

With the above example, when the latest tag value of the origin-ruby-sample image stream changes and the new image value differs from the current image specified in the DeploymentConfig object’s helloworld container, a new replication controller is created using the new image for the helloworld container.

note

If an image change trigger is defined on a DeploymentConfig object (with a config change trigger and automatic=false, or with automatic=true) and the image stream tag pointed by the image change trigger does not exist yet, the initial deployment process will automatically start as soon as an image is imported or pushed by a build to the image stream tag.

Setting deployment triggers

To automatically start a new rollout when an image changes in OpenShift Container Platform, you can set deployment triggers on a DeploymentConfig object. Use the oc set triggers command to configure an image change trigger for a container.

Procedure

1. You can set deployment triggers for a DeploymentConfig object using the oc set triggers command. For example, to set a image change trigger, use the following command:

   $ oc set triggers dc/<dc_name> \
       --from-image=<project>/<image>:<tag> -c <container_name>

Setting deployment resources

To limit CPU, memory, and ephemeral storage used by a deployment in OpenShift Container Platform, you can set resource limits on the deployment strategy. Define limits in the resources section so deployer pods do not consume unbounded node capacity.

A deployment is completed by a pod that consumes resources (memory, CPU, and ephemeral storage) on a node. By default, pods consume unbounded node resources. However, if a project specifies default container limits, then pods consume resources up to those limits.

note

The minimum memory limit for a deployment is 12 MB. If a container fails to start due to a Cannot allocate memory pod event, the memory limit is too low. Either increase or remove the memory limit. Removing the limit allows pods to consume unbounded node resources.

You can also limit resource use by specifying resource limits as part of the deployment strategy. Deployment resources can be used with the recreate, rolling, or custom deployment strategies.

Procedure

1. In the following example, each of resources, cpu, memory, and ephemeral-storage is optional:

   kind: Deployment
   apiVersion: apps/v1
   metadata:
     name: hello-openshift
   # ...
   spec:
   # ...
     type: "Recreate"
     resources:
       limits:
         cpu: "100m"
         memory: "256Mi"
         ephemeral-storage: "1Gi"

   • spec.resources.limits.cpu specifies the CPU units: 100m represents 0.1 CPU units (100 * 1e-3).

   • spec.resources.limits.memory specifies the bytes for memory: 256Mi represents 268435456 bytes (256 * 2 ^ 20).

   • spec.resources.limits.ephemeral-storage specifies the bytes for ephemeral-storage: 1Gi represents 1073741824 bytes (2 ^ 30). However, if a quota has been defined for your project, one of the following two items is required:

     • A resources section set with an explicit requests:

       kind: Deployment
       apiVersion: apps/v1
       metadata:
         name: hello-openshift
       # ...
       spec:
       # ...
         type: "Recreate"
         resources:
           requests:
             cpu: "100m"
             memory: "256Mi"
             ephemeral-storage: "1Gi"

       The spec.resources.requests object contains the list of resources that correspond to the list of resources in the quota.

     • A limit range defined in your project, where the defaults from the LimitRange object apply to pods created during the deployment process.

     To set deployment resources, choose one of the above options. Otherwise, deploy pod creation fails, citing a failure to satisfy quota.

Additional resources

• Understanding managing application memory

Scaling manually

To control how many pod replicas run for a DeploymentConfig object in OpenShift Container Platform, you can scale manually. Use the oc scale command to set the desired number of replicas.

note

Pods can also be auto-scaled using the oc autoscale command.

Procedure

1. To manually scale a DeploymentConfig object, use the oc scale command. For example, the following command sets the replicas in the frontend DeploymentConfig object to 3.

   $ oc scale dc frontend --replicas=3

   The number of replicas eventually propagates to the desired and current state of the deployment configured by the DeploymentConfig object frontend.

Accessing private repositories from DeploymentConfig objects

To pull container images from a private repository into a DeploymentConfig object in OpenShift Container Platform, you can add a pull secret to the object. Create the secret in the web console, then set it as the pull secret in the DeploymentConfig object.

Procedure

1. Create a new project.
2. Navigate to Workloads → Secrets.
3. Create a secret that contains credentials for accessing a private image repository.
4. Navigate to Workloads → DeploymentConfigs.
5. Create a DeploymentConfig object.
6. On the DeploymentConfig object editor page, set the Pull Secret and save your changes.

Assigning pods to specific nodes

To control which nodes run your application pods in OpenShift Container Platform, you can set a node selector on a Pod configuration or pod template. Combine your selector with labels on nodes, including any default project selectors set by a cluster administrator.

Cluster administrators can set the default node selector for a project in order to restrict pod placement to specific nodes. As a developer, you can set a node selector on a Pod configuration to restrict nodes even further.

Procedure

1. To add a node selector when creating a pod, edit the Pod configuration, and add the nodeSelector value. This can be added to a single Pod configuration, or in a Pod template:

   apiVersion: v1
   kind: Pod
   metadata:
     name: my-pod
   # ...
   spec:
     nodeSelector:
       disktype: ssd
   # ...

   Pods created when the node selector is in place are assigned to nodes with the specified labels. The labels specified here are used in conjunction with the labels added by a cluster administrator.

   For example, if a project has the type=user-node and region=east labels added to a project by the cluster administrator, and you add the above disktype: ssd label to a pod, the pod is only ever scheduled on nodes that have all three labels.

   note

   Labels can only be set to one value, so setting a node selector of region=west in a Pod configuration that has region=east as the administrator-set default, results in a pod that will never be scheduled.

Running a pod with a different service account

To run pods under a non-default identity in OpenShift Container Platform, you can assign a different service account to a DeploymentConfig object. Edit the object and set the serviceAccount and serviceAccountName fields to the account you want to use.

Procedure

1. Edit the DeploymentConfig object:

   $ oc edit dc/<deployment_config>

2. Add the serviceAccount and serviceAccountName parameters to the spec field, and specify the service account you want to use:

   apiVersion: apps.openshift.io/v1
   kind: DeploymentConfig
   metadata:
     name: example-dc
   # ...
   spec:
   # ...
     securityContext: {}
     serviceAccount: <service_account>
     serviceAccountName: <service_account>