Chapter 1. Migrating from OpenShift Container Platform 3
1.1. About migrating OpenShift Container Platform 3 to 4
OpenShift Container Platform 4 includes new technologies and functionality that results in a cluster that is self-managing, flexible, and automated. The way that OpenShift Container Platform 4 clusters are deployed and managed drastically differs from OpenShift Container Platform 3.
To successfully transition from OpenShift Container Platform 3 to OpenShift Container Platform 4, it is important that you review the following information:
- Planning your transition
- Learn about the differences between OpenShift Container Platform versions 3 and 4. Prior to transitioning, be sure that you have reviewed and prepared for storage, networking, logging, security, and monitoring considerations.
- Performing your migration
Learn about and use the tools to perform your migration:
- Cluster Application Migration (CAM) tool to migrate your application workloads
- Control Plane Migration Assistant (CPMA) to migrate your control plane
1.2. Planning your migration
Before performing your migration to OpenShift Container Platform 4.2, it is important to take the time to properly plan for the transition. OpenShift Container Platform 4 introduces architectural changes and enhancements, so the procedures that you used to manage your OpenShift Container Platform 3 cluster might not apply for OpenShift Container Platform 4.
This planning document assumes that you are transitioning from OpenShift Container Platform 3.11 to OpenShift Container Platform 4.2.
This document provides high-level information on the most important differences between OpenShift Container Platform 3 and OpenShift Container Platform 4 and the most noteworthy migration considerations. For detailed information on configuring your OpenShift Container Platform 4 cluster, review the appropriate sections of the OpenShift Container Platform documentation. For detailed information on new features and other notable technical changes, review the OpenShift Container Platform 4.2 release notes.
It is not possible to upgrade your existing OpenShift Container Platform 3 cluster to OpenShift Container Platform 4. You must start with a new OpenShift Container Platform 4 installation. Tools are available to assist in migrating your control plane settings and application workloads.
1.2.1. Comparing OpenShift Container Platform 3 and OpenShift Container Platform 4
With OpenShift Container Platform 3, administrators individually deployed Red Hat Enterprise Linux (RHEL) hosts, and then installed OpenShift Container Platform on top of these hosts to form a cluster. Administrators were responsible for properly configuring these hosts and performing updates.
OpenShift Container Platform 4 represents a significant change in the way that OpenShift Container Platform clusters are deployed and managed. OpenShift Container Platform 4 includes new technologies and functionality, such as Operators, MachineSets, and Red Hat Enterprise Linux CoreOS (RHCOS), which are core to the operation of the cluster. This technology shift enables clusters to self-manage some functions previously performed by administrators. This also ensures platform stability and consistency, and simplifies installation and scaling.
For more information, see OpenShift Container Platform architecture.
1.2.1.1. Architecture differences
Immutable infrastructure
OpenShift Container Platform 4 uses Red Hat Enterprise Linux CoreOS (RHCOS), which is designed to run containerized applications, and provides efficient installation, Operator-based management, and simplified upgrades. RHCOS is an immutable container host, rather than a customizable operating system like RHEL. RHCOS enables OpenShift Container Platform 4 to manage and automate the deployment of the underlying container host. RHCOS is a part of OpenShift Container Platform, which means that everything runs inside a container and is deployed using OpenShift Container Platform.
In OpenShift Container Platform 4, control plane nodes must run RHCOS, ensuring that full-stack automation is maintained for the control plane. This makes rolling out updates and upgrades a much easier process than in OpenShift Container Platform 3.
For more information, see Red Hat Enterprise Linux CoreOS.
Operators
Operators are a method of packaging, deploying, and managing a Kubernetes application. Operators ease the operational complexity of running another piece of software. They watch over your environment and use the current state to make decisions in real time. Advanced Operators are designed to upgrade and react to failures automatically.
For more information, see Understanding Operators.
1.2.1.2. Installation and update differences
Installation process
To install OpenShift Container Platform 3.11, you prepared your Red Hat Enterprise Linux (RHEL) hosts, set all of the configuration values your cluster needed, and then ran an Ansible playbook to install and set up your cluster.
In OpenShift Container Platform 4.2, you use the OpenShift installation program to create a minimum set of resources required for a cluster. Once the cluster is running, you use Operators to further configure your cluster and to install new services. After first boot, Red Hat Enterprise Linux CoreOS (RHCOS) systems are managed by the Machine Config Operator (MCO) that runs in the OpenShift Container Platform cluster.
For more information, see Installation process.
If you want to add RHEL worker machines to your OpenShift Container Platform 4.2 cluster, you use an Ansible playbook to join the RHEL worker machines after the cluster is running. For more information, see Adding RHEL compute machines to an OpenShift Container Platform cluster.
Infrastructure options
In OpenShift Container Platform 3.11, you installed your cluster on infrastructure that you prepared and maintained. In addition to providing your own infrastructure, OpenShift Container Platform 4 offers an option to deploy a cluster on infrastructure that the OpenShift Container Platform installation program provisions and the cluster maintains.
For more information, see OpenShift Container Platform installation overview.
Upgrading your cluster
In OpenShift Container Platform 3.11, you upgraded your cluster by running Ansible playbooks. In OpenShift Container Platform 4.2, The cluster manages its own updates, including updates to Red Hat Enterprise Linux CoreOS (RHCOS) on cluster nodes. You can easily upgrade your cluster by using the web console or by using the oc adm upgrade
command from the OpenShift CLI and the Operators will automatically upgrade themselves. If your OpenShift Container Platform 4.2 cluster has Red Hat Enterprise Linux worker machines, then you will still need to run an Ansible playbook to upgrade those worker machines.
For more information, see Updating clusters.
1.2.2. Migration considerations
Review the changes and other considerations that might affect your transition from OpenShift Container Platform 3.11 to OpenShift Container Platform 4.
1.2.2.1. Storage considerations
Review the following storage changes to consider when transitioning from OpenShift Container Platform 3.11 to OpenShift Container Platform 4.2.
Local volume persistent storage
Local storage is only supported by using the Local Storage Operator in OpenShift Container Platform 4.2. It is not supported to use the local provisioner method from OpenShift Container Platform 3.11.
For more information, see Persistent storage using local volumes.
FlexVolume persistent storage
The FlexVolume plug-in location changed from OpenShift Container Platform 3.11. The new location in OpenShift Container Platform 4.2 is /etc/kubernetes/kubelet-plugins/volume/exec
. Attachable FlexVolume plug-ins are no longer supported.
For more information, see Persistent storage using FlexVolume.
Container Storage Interface (CSI) persistent storage
Persistent storage using the Container Storage Interface (CSI) was Technology Preview in OpenShift Container Platform 3.11. CSI version 1.1.0 is fully supported in OpenShift Container Platform 4.2, but does not ship with any CSI drivers. You must install your own driver.
For more information, see Persistent storage using the Container Storage Interface (CSI).
Red Hat OpenShift Container Storage
Red Hat OpenShift Container Storage 3, which is available for use with OpenShift Container Platform 3.11, uses Red Hat Gluster Storage as the backing storage.
Red Hat OpenShift Container Storage 4, which is available for use with OpenShift Container Platform 4, uses Red Hat Ceph Storage as the backing storage.
For more information, see Persistent storage using Red Hat OpenShift Container Storage and the interoperability matrix article.
Unsupported persistent storage options
Support for the following persistent storage options from OpenShift Container Platform 3.11 has changed in OpenShift Container Platform 4.2:
- GlusterFS is no longer supported.
- CephFS as a standalone product is no longer supported.
- Ceph RBD as a standalone product is no longer supported.
- iSCSI is now Technology Preview.
If you used of one these in OpenShift Container Platform 3.11, you must choose a different persistent storage option for full support in OpenShift Container Platform 4.2.
For more information, see Understanding persistent storage.
1.2.2.2. Networking considerations
Review the following networking changes to consider when transitioning from OpenShift Container Platform 3.11 to OpenShift Container Platform 4.2.
Network isolation mode
The default network isolation mode for OpenShift Container Platform 3.11 was ovs-subnet
, though users frequently switched to use ovn-multitenant
. The default network isolation mode for OpenShift Container Platform 4.2 is now NetworkPolicy.
If your OpenShift Container Platform 3.11 cluster used the ovs-subnet
or ovs-multitenant
mode, it is recommended to switch to the NetworkPolicy mode for your OpenShift Container Platform 4.2 cluster. NetworkPolicy is supported upstream, is more flexible, and also provides the functionality that ovs-multitenant
does. If you want to maintain the ovs-multitenant
behavior while using NetworkPolicy in OpenShift Container Platform 4.2, follow the steps to configure multitenant isolation using NetworkPolicy.
For more information, see About network policy.
Encrypting traffic between hosts
In OpenShift Container Platform 3.11, you could use IPsec to encrypt traffic between hosts. OpenShift Container Platform 4.2 does not support IPsec. It is recommended to use Red Hat OpenShift Service Mesh to enable mutual TLS between services.
For more information, see Understanding Red Hat OpenShift Service Mesh.
1.2.2.3. Logging considerations
Review the following logging changes to consider when transitioning from OpenShift Container Platform 3.11 to OpenShift Container Platform 4.2.
Deploying cluster logging
OpenShift Container Platform 4 provides a simple deployment mechanism for cluster logging, by using a Cluster Logging custom resource. Once deployed, the cluster logging experience is the same as it was in OpenShift Container Platform 3.11.
For more information, see About deploying and configuring cluster logging.
Aggregated logging data
You cannot transition your aggregate logging data from OpenShift Container Platform 3.11 into your new OpenShift Container Platform 4 cluster.
For more information, see About cluster logging.
1.2.2.4. Security considerations
Review the following security changes to consider when transitioning from OpenShift Container Platform 3.11 to OpenShift Container Platform 4.2.
Unauthenticated access to discovery endpoints
In OpenShift Container Platform 3.11, an unauthenticated user could access the discovery endpoints (for example, /api/*
and /apis/*
). For security reasons, unauthenticated access to the discovery endpoints is no longer allowed in OpenShift Container Platform 4.2. If you do need to allow unauthenticated access, you can configure the RBAC settings as necessary; however, be sure to consider the security implications as this can expose internal cluster components to the external network.
Identity providers
Configuration for identity providers has changed for OpenShift Container Platform 4, including the following notable changes:
- The request header identity provider in OpenShift Container Platform 4.2 requires mutual TLS, where in OpenShift Container Platform 3.11 it did not.
-
The configuration of the OpenID Connect identity provider was simplified in OpenShift Container Platform 4.2. It now obtains data, which previously had to specified in OpenShift Container Platform 3.11, from the provider’s
/.well-known/openid-configuration
endpoint.
For more information, see Understanding identity provider configuration.
1.2.2.5. Monitoring considerations
Review the following monitoring changes to consider when transitioning from OpenShift Container Platform 3.11 to OpenShift Container Platform 4.2.
Alert for monitoring infrastructure availability
The default alert that triggers to ensure the availability of the monitoring structure was called DeadMansSwitch
in OpenShift Container Platform 3.11. This was renamed to Watchdog
in OpenShift Container Platform 4. If you had PagerDuty integration set up with this alert in OpenShift Container Platform 3.11, you must set up the PagerDuty integration for the Watchdog
alert in OpenShift Container Platform 4.
For more information, see Applying custom Alertmanager configuration.
1.3. Migration tools and prerequisites
You can migrate application workloads from OpenShift Container Platform 3.7, 3.9, 3.10, and 3.11 to OpenShift Container Platform 4.2 with the Cluster Application Migration (CAM) tool. The CAM tool enables you to control the migration and to minimize application downtime.
The CAM tool’s web console and API, based on Kubernetes Custom Resources, enable you to migrate stateful application workloads at the granularity of a namespace.
The CAM tool supports the file system and snapshot data copy methods for migrating data from the source cluster to the target cluster. You can select a method that is suited for your environment and is supported by your storage provider.
You can use migration hooks to run Ansible playbooks at certain points during the migration. The hooks are added when you create a migration plan.
The Control Plane Migration Assistant (CPMA) is a CLI-based tool that assists you in migrating the control plane. The CPMA processes the OpenShift Container Platform 3 configuration files and generates Custom Resource (CR) manifest files, which are consumed by OpenShift Container Platform 4.2 Operators.
Before you begin your migration, be sure to review the information on planning your migration.
1.3.1. Migration prerequisites
-
You must have
podman
installed. - The source cluster must be OpenShift Container Platform 3.7, 3.9, 3.10, or 3.11.
- You must upgrade the source cluster to the latest z-stream release.
-
You must have
cluster-admin
privileges on all clusters. - The source and target clusters must have unrestricted network access to the replication repository.
- The cluster on which the Migration controller is installed must have unrestricted access to the other clusters.
If your application uses images from the
openshift
namespace, the required versions of the images must be present on the target cluster.If the required images are not present, you must update the
imagestreamtags
references to use an available version that is compatible with your application. If theimagestreamtags
cannot be updated, you can manually upload equivalent images to the application namespaces and update the applications to reference them.
The following imagestreamtags
have been removed from OpenShift Container Platform 4.2:
-
dotnet:1.0
,dotnet:1.1
,dotnet:2.0
-
dotnet-runtime:2.0
-
mariadb:10.1
-
mongodb:2.4
,mongodb:2.6
-
mysql:5.5
,mysql:5.6
-
nginx:1.8
-
nodejs:0.10
,nodejs:4
,nodejs:6
-
perl:5.16
,perl:5.20
-
php:5.5
,php:5.6
-
postgresql:9.2
,postgresql:9.4
,postgresql:9.5
-
python:3.3
,python:3.4
-
ruby:2.0
,ruby:2.2
1.3.2. About the Cluster Application Migration tool
The Cluster Application Migration (CAM) tool enables you to migrate Kubernetes resources, persistent volume data, and internal container images from an OpenShift Container Platform source cluster to an OpenShift Container Platform 4.2 target cluster, using the CAM web console or the Kubernetes API.
Migrating an application with the CAM web console involves the following steps:
Install the Cluster Application Migration Operator on all clusters.
You can install the Cluster Application Migration Operator in a restricted environment with limited or no internet access. The source and target clusters must have network access to each other and to a mirror registry.
Configure the replication repository, an intermediate object storage that the CAM tool uses to migrate data.
The source and target clusters must have network access to the replication repository during migration. In a restricted environment, you can use an internally hosted S3 storage repository. If you use a proxy server, you must ensure that replication repository is whitelisted.
- Add the source cluster to the CAM web console.
- Add the replication repository to the CAM web console.
Create a migration plan, with one of the following data migration options:
Copy: The CAM tool copies the data from the source cluster to the replication repository, and from the replication repository to the target cluster.
Move: The CAM tool unmounts a remote volume (for example, NFS) from the source cluster, creates a PV resource on the target cluster pointing to the remote volume, and then mounts the remote volume on the target cluster. Applications running on the target cluster use the same remote volume that the source cluster was using. The remote volume must be accessible to the source and target clusters.
NoteAlthough the replication repository does not appear in this diagram, it is required for the actual migration.
Run the migration plan, with one of the following options:
Stage (optional) copies data to the target cluster without stopping the application.
Staging can be run multiple times so that most of the data is copied to the target before migration. This minimizes the actual migration time and application downtime.
- Migrate stops the application on the source cluster and recreates its resources on the target cluster. Optionally, you can migrate the workload without stopping the application.
1.3.3. About data copy methods
The CAM tool supports the file system and snapshot data copy methods for migrating data from the source cluster to the target cluster. You can select a method that is suited for your environment and is supported by your storage provider.
1.3.3.1. File system copy method
The CAM tool copies data files from the source cluster to the replication repository, and from there to the target cluster.
Benefits | Limitations |
---|---|
|
|
1.3.3.2. Snapshot copy method
The CAM tool copies a snapshot of the source cluster’s data to a cloud provider’s object storage, configured as a replication repository. The data is restored on the target cluster.
AWS, Google Cloud Provider, and Microsoft Azure support the snapshot copy method.
Benefits | Limitations |
---|---|
|
|
1.3.4. About migration hooks
You can use migration hooks to run Ansible playbooks at certain points during the migration. The hooks are added when you create a migration plan.
If you do not want to use Ansible playbooks, you can create a custom container image and add it to a migration plan.
Migration hooks perform tasks such as customizing application quiescence, manually migrating unsupported data types, and updating applications after migration.
A single migration hook runs on a source or target cluster at one of the following migration steps:
- PreBackup: Before backup tasks are started on the source cluster
- PostBackup: After backup tasks are complete on the source cluster
- PreRestore: Before restore tasks are started on the target cluster
PostRestore: After restore tasks are complete on the target cluster
You can assign one hook to each migration step, up to a maximum of four hooks for a single migration plan.
The default hook-runner
image is registry.redhat.io/rhcam-1-2/openshift-migration-hook-runner-rhel7
. This image is based on Ansible Runner and includes python-openshift
for Ansible Kubernetes resources and an updated oc
binary. You can also create your own hook image with additional Ansible modules or tools.
The Ansible playbook is mounted on a hook container as a ConfigMap. The hook container runs as a Job on a cluster with a specified service account and namespace. The Job runs, even if the initial Pod is evicted or killed, until it reaches the default backoffLimit
(6
) or successful completion.
1.3.5. About the Control Plane Migration Assistant
The Control Plane Migration Assistant (CPMA) is a CLI-based tool that assists you in migrating the control plane from OpenShift Container Platform 3.7 (or later) to 4.2. The CPMA processes the OpenShift Container Platform 3 configuration files and generates Custom Resource (CR) manifest files, which are consumed by OpenShift Container Platform 4.2 Operators.
Because OpenShift Container Platform 3 and 4 have significant configuration differences, not all parameters are processed. The CPMA can generate a report that describes whether features are supported fully, partially, or not at all.
Configuration files
CPMA uses the Kubernetes and OpenShift Container Platform APIs to access the following configuration files on an OpenShift Container Platform 3 cluster:
-
Master configuration file (default:
/etc/origin/master/master-config.yaml
) -
CRI-O configuration file (default:
/etc/crio/crio.conf
) -
etcd configuration file (default:
/etc/etcd/etcd.conf
) -
Image registries file (default:
/etc/containers/registries.conf
) Dependent configuration files:
- Password files (for example, HTPasswd)
- ConfigMaps
- Secrets
CR Manifests
CPMA generates CR manifests for the following configurations:
API server CA certificate:
100_CPMA-cluster-config-APISecret.yaml
NoteIf you are using an unsigned API server CA certificate, you must add the certificate manually to the target cluster.
-
CRI-O:
100_CPMA-crio-config.yaml
-
Cluster resource quota:
100_CPMA-cluster-quota-resource-x.yaml
-
Project resource quota:
100_CPMA-resource-quota-x.yaml
-
Portable image registry (
/etc/registries/registries.conf
) and portable image policy (etc/origin/master/master-config.yam
):100_CPMA-cluster-config-image.yaml
-
OAuth providers:
100_CPMA-cluster-config-oauth.yaml
-
Project configuration:
100_CPMA-cluster-config-project.yaml
-
Scheduler:
100_CPMA-cluster-config-scheduler.yaml
-
SDN:
100_CPMA-cluster-config-sdn.yaml
1.4. Deploying the Cluster Application Migration tool
You can install the Cluster Application Migration Operator on an OpenShift Container Platform 4.2 target cluster and an OpenShift Container Platform 3 source cluster. The Cluster Application Migration Operator installs the Cluster Application Migration (CAM) tool on the target cluster by default.
Optional: You can configure the Cluster Application Migration Operator to install the CAM tool on an OpenShift Container Platform 3 cluster or on a remote cluster.
In a restricted environment, you can install the Cluster Application Migration Operator from a local mirror registry.
After you have installed the Cluster Application Migration Operator on your clusters, you can launch the CAM tool.
1.4.1. Installing the Cluster Application Migration Operator
You can install the Cluster Application Migration Operator with the Operation Lifecycle Manager (OLM) on an OpenShift Container Platform 4.2 target cluster and manually on an OpenShift Container Platform 3 source cluster.
1.4.1.1. Installing the Cluster Application Migration Operator on an OpenShift Container Platform 4.2 target cluster
You can install the Cluster Application Migration Operator on an OpenShift Container Platform 4.2 target cluster with the Operation Lifecycle Manager (OLM).
The Cluster Application Migration Operator installs the Cluster Application Migration tool on the target cluster by default.
Procedure
-
In the OpenShift Container Platform web console, click Operators
OperatorHub. -
Use the Filter by keyword field (in this case,
Migration
) to find the Cluster Application Migration Operator. - Select the Cluster Application Migration Operator and click Install.
-
On the Create Operator Subscription page, select the
openshift-migration
namespace, and specify an approval strategy. Click Subscribe.
On the Installed Operators page, the Cluster Application Migration Operator appears in the openshift-migration project with the status InstallSucceeded.
- Under Provided APIs, click View 12 more….
-
Click Create New
MigrationController. - Click Create.
-
Click Workloads
Pods to verify that the Controller Manager, Migration UI, Restic, and Velero Pods are running.
1.4.1.2. Installing the Cluster Application Migration Operator on an OpenShift Container Platform 3 source cluster
You can install the Cluster Application Migration Operator manually on an OpenShift Container Platform 3 source cluster.
Prerequisites
-
Access to
registry.redhat.io
OpenShift Container Platform 3 cluster configured to pull images from
registry.redhat.io
To pull images, you must create an
imagestreamsecret
and copy it to each node in your cluster.
Procedure
Log in to
registry.redhat.io
with your Red Hat Customer Portal credentials:$ sudo podman login registry.redhat.io
NoteIf your system is configured for rootless Podman containers,
sudo
is not required for this procedure.Download the
operator.yml
file:$ sudo podman cp $(sudo podman create registry.redhat.io/rhcam-1-2/openshift-migration-rhel7-operator:v1.2):/operator.yml ./
Download the
controller-3.yml
file:$ sudo podman cp $(sudo podman create registry.redhat.io/rhcam-1-2/openshift-migration-rhel7-operator:v1.2):/controller-3.yml ./
- Log in to your OpenShift Container Platform 3 cluster.
Verify that the cluster can authenticate with
registry.redhat.io
:$ oc run test --image registry.redhat.io/ubi8 --command sleep infinity
Create the Cluster Application Migration Operator CR object:
$ oc create -f operator.yml
The output resembles the following:
namespace/openshift-migration created rolebinding.rbac.authorization.k8s.io/system:deployers created serviceaccount/migration-operator created customresourcedefinition.apiextensions.k8s.io/migrationcontrollers.migration.openshift.io created role.rbac.authorization.k8s.io/migration-operator created rolebinding.rbac.authorization.k8s.io/migration-operator created clusterrolebinding.rbac.authorization.k8s.io/migration-operator created deployment.apps/migration-operator created Error from server (AlreadyExists): error when creating "./operator.yml": rolebindings.rbac.authorization.k8s.io "system:image-builders" already exists 1 Error from server (AlreadyExists): error when creating "./operator.yml": rolebindings.rbac.authorization.k8s.io "system:image-pullers" already exists
- 1
- You can ignore
Error from server (AlreadyExists)
messages. They are caused by the Cluster Application Migration Operator creating resources for earlier versions of OpenShift Container Platform 3 that are provided in later releases.
Create the Migration controller CR object:
$ oc create -f controller-3.yml
Verify that the Velero and Restic Pods are running:
$ oc get pods -n openshift-migration
1.4.2. Installing the Cluster Application Migration Operator in a restricted environment
You can install the Cluster Application Migration Operator with the Operation Lifecycle Manager (OLM) on an OpenShift Container Platform 4.2 target cluster and manually on an OpenShift Container Platform 3 source cluster.
For OpenShift Container Platform 4.2, you can build a custom Operator catalog image, push it to a local mirror image registry, and configure OLM to install the Cluster Application Migration Operator from the local registry. A mapping.txt
file is created when you run the oc adm catalog mirror
command.
On the OpenShift Container Platform 3 cluster, you can create a manifest file based on the Operator image and edit the file to point to your local image registry. The image
value in the manifest file uses the sha256
value from the mapping.txt
file. Then, you can use the local image to create the Cluster Application Migration Operator.
1.4.2.1. Configuring OperatorHub for restricted networks
Cluster administrators can configure OLM and OperatorHub to use local content in restricted network environments.
Prerequisites
- Cluster administrator access to an OpenShift Container Platform cluster and its internal registry.
- Separate workstation without network restrictions.
- If pushing images to the OpenShift Container Platform cluster’s internal registry, the registry must be exposed with a route.
-
podman
version 1.4.4+
Procedure
Disable the default OperatorSources.
Add
disableAllDefaultSources: true
to the spec:$ oc patch OperatorHub cluster --type json \ -p '[{"op": "add", "path": "/spec/disableAllDefaultSources", "value": true}]'
This disables the default OperatorSources that are configured by default during an OpenShift Container Platform installation.
Retrieve package lists.
To get the list of packages that are available for the default OperatorSources, run the following
curl
commands from your workstation without network restrictions:$ curl https://quay.io/cnr/api/v1/packages?namespace=redhat-operators > packages.txt $ curl https://quay.io/cnr/api/v1/packages?namespace=community-operators >> packages.txt $ curl https://quay.io/cnr/api/v1/packages?namespace=certified-operators >> packages.txt
Each package in the new
packages.txt
is an Operator that you could add to your restricted network catalog. From this list, you could either pull every Operator or a subset that you would like to expose to users.Pull Operator content.
For a given Operator in the package list, you must pull the latest released content:
$ curl https://quay.io/cnr/api/v1/packages/<namespace>/<operator_name>/<release>
This example uses the etcd Operator:
Retrieve the digest:
$ curl https://quay.io/cnr/api/v1/packages/community-operators/etcd/0.0.12
From that JSON, take the digest and use it to pull the gzipped archive:
$ curl -XGET https://quay.io/cnr/api/v1/packages/community-operators/etcd/blobs/sha256/8108475ee5e83a0187d6d0a729451ef1ce6d34c44a868a200151c36f3232822b \ -o etcd.tar.gz
To pull the information out, you must untar the archive into a
manifests/<operator_name>/
directory with all the other Operators that you want. For example, to untar to an existing directory calledmanifests/etcd/
:$ mkdir -p manifests/etcd/ 1 $ tar -xf etcd.tar.gz -C manifests/etcd/
- 1
- Create different subdirectories for each extracted archive so that files are not overwritten by subsequent extractions for other Operators.
Break apart
bundle.yaml
content, if necessary.In your new
manifests/<operator_name>
directory, the goal is to get your bundle in the following directory structure:manifests/ └── etcd ├── 0.0.12 │ ├── clusterserviceversion.yaml │ └── customresourcedefinition.yaml └── package.yaml
If you see files already in this structure, you can skip this step. However, if you instead see only a single file called
bundle.yaml
, you must first break this file up to conform to the required structure.You must separate the CSV content under
data.clusterServiceVersion
(each file in the list), the CRD content underdata.customResourceDefinition
(each file in the list), and the package content underdata.Package
into their own files.For the CSV file creation, find the following lines in the
bundle.yaml
file:data: clusterServiceVersions: |
Omit those lines, but save a new file consisting of the full CSV resource content beginning with the following lines, removing the prepended
-
character:Example
clusterserviceversion.yaml
file snippetapiVersion: operators.coreos.com/v1alpha1 kind: ClusterServiceVersion [...]
For the CRD file creation, find the following line in the
bundle.yaml
file:customResourceDefinitions: |
Omit this line, but save new files consisting of each, full CRD resource content beginning with the following lines, removing the prepended
-
character:Example
customresourcedefinition.yaml
file snippetapiVersion: apiextensions.k8s.io/v1beta1 kind: CustomResourceDefinition [...]
For the package file creation, find the following line in the
bundle.yaml
file:packages: |
Omit this line, but save a new file consisting of the package content beginning with the following lines, removing the prepended
-
character, and ending with apackageName
entry:Example
package.yaml
filechannels: - currentCSV: etcdoperator.v0.9.4 name: singlenamespace-alpha - currentCSV: etcdoperator.v0.9.4-clusterwide name: clusterwide-alpha defaultChannel: singlenamespace-alpha packageName: etcd
Identify images required by the Operators you want to use.
Inspect the CSV files of each Operator for
image:
fields to identify the pull specs for any images required by the Operator, and note them for use in a later step.For example, in the following
deployments
spec of an etcd Operator CSV:spec: serviceAccountName: etcd-operator containers: - name: etcd-operator command: - etcd-operator - --create-crd=false image: quay.io/coreos/etcd-operator@sha256:bd944a211eaf8f31da5e6d69e8541e7cada8f16a9f7a5a570b22478997819943 1 env: - name: MY_POD_NAMESPACE valueFrom: fieldRef: fieldPath: metadata.namespace - name: MY_POD_NAME valueFrom: fieldRef: fieldPath: metadata.name
- 1
- Image required by Operator.
Create an Operator catalog image.
Save the following to a Dockerfile, for example named
custom-registry.Dockerfile
:FROM registry.redhat.io/openshift4/ose-operator-registry:v4.2.24 AS builder COPY manifests manifests RUN /bin/initializer -o ./bundles.db FROM registry.access.redhat.com/ubi7/ubi COPY --from=builder /registry/bundles.db /bundles.db COPY --from=builder /usr/bin/registry-server /registry-server COPY --from=builder /bin/grpc_health_probe /bin/grpc_health_probe EXPOSE 50051 ENTRYPOINT ["/registry-server"] CMD ["--database", "bundles.db"]
Use the
podman
command to create and tag the container image from the Dockerfile:$ podman build -f custom-registry.Dockerfile \ -t <local_registry_host_name>:<local_registry_host_port>/<namespace>/custom-registry 1
- 1
- Tag the image for the internal registry of the restricted network OpenShift Container Platform cluster and any namespace.
Push the Operator catalog image to a registry.
Your new Operator catalog image must be pushed to a registry that the restricted network OpenShift Container Platform cluster can access. This can be the internal registry of the cluster itself or another registry that the cluster has network access to, such as an on-premise Quay Enterprise registry.
For this example, login and push the image to the internal registry OpenShift Container Platform cluster:
$ podman push <local_registry_host_name>:<local_registry_host_port>/<namespace>/custom-registry
Create a CatalogSource pointing to the new Operator catalog image.
Save the following to a file, for example
my-operator-catalog.yaml
:apiVersion: operators.coreos.com/v1alpha1 kind: CatalogSource metadata: name: my-operator-catalog namespace: openshift-marketplace spec: displayName: My Operator Catalog sourceType: grpc image: <local_registry_host_name>:<local_registry_host_port>/<namespace>/custom-registry:latest
Create the CatalogSource resource:
$ oc create -f my-operator-catalog.yaml
Verify the CatalogSource and package manifest are created successfully:
# oc get pods -n openshift-marketplace NAME READY STATUS RESTARTS AGE my-operator-catalog-6njx6 1/1 Running 0 28s marketplace-operator-d9f549946-96sgr 1/1 Running 0 26h # oc get catalogsource -n openshift-marketplace NAME DISPLAY TYPE PUBLISHER AGE my-operator-catalog My Operator Catalog grpc 5s # oc get packagemanifest -n openshift-marketplace NAME CATALOG AGE etcd My Operator Catalog 34s
You should also be able to view them from the OperatorHub page in the web console.
Mirror the images required by the Operators you want to use.
Determine the images defined by the Operator(s) that you are expecting. This example uses the etcd Operator, requiring the
quay.io/coreos/etcd-operator
image.ImportantThis procedure only shows mirroring Operator images themselves and not Operand images, which are the components that an Operator manages. Operand images must be mirrored as well; see each Operator’s documentation to identify the required Operand images.
To use mirrored images, you must first create an ImageContentSourcePolicy for each image to change the source location of the Operator catalog image. For example:
apiVersion: operator.openshift.io/v1alpha1 kind: ImageContentSourcePolicy metadata: name: etcd-operator spec: repositoryDigestMirrors: - mirrors: - <local_registry_host_name>:<local_registry_host_port>/coreos/etcd-operator source: quay.io/coreos/etcd-operator
Use the
oc image mirror
command from your workstation without network restrictions to pull the image from the source registry and push to the internal registry without being stored locally:$ oc image mirror quay.io/coreos/etcd-operator \ <local_registry_host_name>:<local_registry_host_port>/coreos/etcd-operator
You can now install the Operator from the OperatorHub on your restricted network OpenShift Container Platform cluster.
1.4.2.2. Installing the Cluster Application Migration Operator on an OpenShift Container Platform 4.2 target cluster in a restricted environment
You can install the Cluster Application Migration Operator on an OpenShift Container Platform 4.2 target cluster with the Operation Lifecycle Manager (OLM).
The Cluster Application Migration Operator installs the Cluster Application Migration tool on the target cluster by default.
Prerequisites
- You created a custom Operator catalog and pushed it to a mirror registry.
- You configured OLM to install the Cluster Application Migration Operator from the mirror registry.
Procedure
-
In the OpenShift Container Platform web console, click Operators
OperatorHub. -
Use the Filter by keyword field (in this case,
Migration
) to find the Cluster Application Migration Operator. - Select the Cluster Application Migration Operator and click Install.
-
On the Create Operator Subscription page, select the
openshift-migration
namespace, and specify an approval strategy. Click Subscribe.
On the Installed Operators page, the Cluster Application Migration Operator appears in the openshift-migration project with the status InstallSucceeded.
- Under Provided APIs, click View 12 more….
-
Click Create New
MigrationController. - Click Create.
-
Click Workloads
Pods to verify that the Controller Manager, Migration UI, Restic, and Velero Pods are running.
1.4.2.3. Installing the Cluster Application Migration Operator on an OpenShift Container Platform 3 source cluster in a restricted environment
You can create a manifest file based on the Cluster Application Migration Operator image and edit the manifest to point to your local image registry. Then, you can use the local image to create the Cluster Application Migration Operator on an OpenShift Container Platform 3 source cluster.
Prerequisites
-
Access to
registry.redhat.io
- Linux workstation with unrestricted network access
- Mirror registry that supports Docker v2-2
- Custom Operator catalog pushed to a mirror registry
Procedure
On the workstation with unrestricted network access, log in to
registry.redhat.io
with your Red Hat Customer Portal credentials:$ sudo podman login registry.redhat.io
NoteIf your system is configured for rootless Podman containers,
sudo
is not required for this procedure.Download the
operator.yml
file:$ sudo podman cp $(sudo podman create registry.redhat.io/rhcam-1-2/openshift-migration-rhel7-operator:v1.2):/operator.yml ./
Download the
controller-3.yml
file:$ sudo podman cp $(sudo podman create registry.redhat.io/rhcam-1-2/openshift-migration-rhel7-operator:v1.2):/controller-3.yml ./
Obtain the Operator image value from the
mapping.txt
file that was created when you ran theoc adm catalog mirror
on the OpenShift Container Platform 4 cluster:$ grep openshift-migration-rhel7-operator ./mapping.txt | grep rhcam-1-2
The output shows the mapping between the
registry.redhat.io
image and your mirror registry image:registry.redhat.io/rhcam-1-2/openshift-migration-rhel7-operator@sha256:468a6126f73b1ee12085ca53a312d1f96ef5a2ca03442bcb63724af5e2614e8a=<registry.apps.example.com>/rhcam-1-2/openshift-migration-rhel7-operator
Update the
image
andREGISTRY
values in theoperator.yml
file:containers: - name: ansible image: <registry.apps.example.com>/rhcam-1-2/openshift-migration-rhel7-operator@sha256:<468a6126f73b1ee12085ca53a312d1f96ef5a2ca03442bcb63724af5e2614e8a> 1 ... - name: operator image: <registry.apps.example.com>/rhcam-1-2/openshift-migration-rhel7-operator@sha256:<468a6126f73b1ee12085ca53a312d1f96ef5a2ca03442bcb63724af5e2614e8a> 2 ... env: - name: REGISTRY value: <registry.apps.example.com> 3
- Log in to your OpenShift Container Platform 3 cluster.
Create the Cluster Application Migration Operator CR object:
$ oc create -f operator.yml
The output resembles the following:
namespace/openshift-migration created rolebinding.rbac.authorization.k8s.io/system:deployers created serviceaccount/migration-operator created customresourcedefinition.apiextensions.k8s.io/migrationcontrollers.migration.openshift.io created role.rbac.authorization.k8s.io/migration-operator created rolebinding.rbac.authorization.k8s.io/migration-operator created clusterrolebinding.rbac.authorization.k8s.io/migration-operator created deployment.apps/migration-operator created Error from server (AlreadyExists): error when creating "./operator.yml": rolebindings.rbac.authorization.k8s.io "system:image-builders" already exists 1 Error from server (AlreadyExists): error when creating "./operator.yml": rolebindings.rbac.authorization.k8s.io "system:image-pullers" already exists
- 1
- You can ignore
Error from server (AlreadyExists)
messages. They are caused by the Cluster Application Migration Operator creating resources for earlier versions of OpenShift Container Platform 3 that are provided in later releases.
Create the Migration controller CR object:
$ oc create -f controller-3.yml
Verify that the Velero and Restic Pods are running:
$ oc get pods -n openshift-migration
1.4.3. Launching the CAM web console
You can launch the CAM web console in a browser.
Procedure
- Log in to the OpenShift Container Platform cluster on which you have installed the CAM tool.
Obtain the CAM web console URL by entering the following command:
$ oc get -n openshift-migration route/migration -o go-template='https://{{ .spec.host }}'
The output resembles the following:
https://migration-openshift-migration.apps.cluster.openshift.com
.Launch a browser and navigate to the CAM web console.
NoteIf you try to access the CAM web console immediately after installing the Cluster Application Migration Operator, the console may not load because the Operator is still configuring the cluster. Wait a few minutes and retry.
- If you are using self-signed CA certificates, you will be prompted to accept the CA certificate of the source cluster’s API server. The web page guides you through the process of accepting the remaining certificates.
- Log in with your OpenShift Container Platform username and password.
1.5. Configuring a replication repository
You must configure an object storage to use as a replication repository. The Cluster Application Migration tool copies data from the source cluster to the replication repository, and then from the replication repository to the target cluster.
The CAM tool supports the file system and snapshot data copy methods for migrating data from the source cluster to the target cluster. You can select a method that is suited for your environment and is supported by your storage provider.
The following storage providers are supported:
- Multi-Cloud Object Gateway (MCG)
- Amazon Web Services (AWS) S3
- Google Cloud Provider (GCP)
- Microsoft Azure
- Generic S3 object storage, for example, Minio or Ceph S3
The source and target clusters must have network access to the replication repository during migration.
In a restricted environment, you can create an internally hosted replication repository. If you use a proxy server, you must ensure that your replication repository is whitelisted.
Configuring Multi-Cloud Object Gateway as a replication repository for migration is a Technology Preview feature only. Technology Preview features are not supported with Red Hat production service level agreements (SLAs) and might not be functionally complete. Red Hat does not recommend using them in production. These features provide early access to upcoming product features, enabling customers to test functionality and provide feedback during the development process.
For more information about the support scope of Red Hat Technology Preview features, see https://access.redhat.com/support/offerings/techpreview/.
1.5.1. Configuring a Multi-Cloud Object Gateway storage bucket as a replication repository
You can install the OpenShift Container Storage Operator and configure a Multi-Cloud Object Gateway (MCG) storage bucket as a replication repository.
1.5.1.1. Installing the OpenShift Container Storage Operator
You can install the OpenShift Container Storage Operator from OperatorHub.
Procedure
-
In the OpenShift Container Platform web console, click Operators
OperatorHub. - Use Filter by keyword (in this case, OCS) to find the OpenShift Container Storage Operator.
- Select the OpenShift Container Storage Operator and click Install.
- Select an Update Channel, Installation Mode, and Approval Strategy.
Click Subscribe.
On the Installed Operators page, the OpenShift Container Storage Operator appears in the openshift-storage project with the status Succeeded.
1.5.1.2. Creating the Multi-Cloud Object Gateway storage bucket
You can create the Multi-Cloud Object Gateway (MCG) storage bucket’s Custom Resources (CRs).
Procedure
Log in to the OpenShift Container Platform cluster:
$ oc login
Create the
NooBaa
CR configuration file,noobaa.yml
, with the following content:apiVersion: noobaa.io/v1alpha1 kind: NooBaa metadata: name: noobaa namespace: openshift-storage spec: dbResources: requests: cpu: 0.5 1 memory: 1Gi coreResources: requests: cpu: 0.5 2 memory: 1Gi
Create the
NooBaa
object:$ oc create -f noobaa.yml
Create the
BackingStore
CR configuration file,bs.yml
, with the following content:apiVersion: noobaa.io/v1alpha1 kind: BackingStore metadata: finalizers: - noobaa.io/finalizer labels: app: noobaa name: mcg-pv-pool-bs namespace: openshift-storage spec: pvPool: numVolumes: 3 1 resources: requests: storage: 50Gi 2 storageClass: gp2 3 type: pv-pool
Create the
BackingStore
object:$ oc create -f bs.yml
Create the
BucketClass
CR configuration file,bc.yml
, with the following content:apiVersion: noobaa.io/v1alpha1 kind: BucketClass metadata: labels: app: noobaa name: mcg-pv-pool-bc namespace: openshift-storage spec: placementPolicy: tiers: - backingStores: - mcg-pv-pool-bs placement: Spread
Create the
BucketClass
object:$ oc create -f bc.yml
Create the
ObjectBucketClaim
CR configuration file,obc.yml
, with the following content:apiVersion: objectbucket.io/v1alpha1 kind: ObjectBucketClaim metadata: name: migstorage namespace: openshift-storage spec: bucketName: migstorage 1 storageClassName: openshift-storage.noobaa.io additionalConfig: bucketclass: mcg-pv-pool-bc
- 1
- Record the bucket name for adding the replication repository to the CAM web console.
Create the
ObjectBucketClaim
object:$ oc create -f obc.yml
Watch the resource creation process to verify that the
ObjectBucketClaim
status isBound
:$ watch -n 30 'oc get -n openshift-storage objectbucketclaim migstorage -o yaml'
This process can take five to ten minutes.
Obtain and record the following values, which are required when you add the replication repository to the CAM web console:
S3 endpoint:
$ oc get route -n openshift-storage s3
S3 provider access key:
$ oc get secret -n openshift-storage migstorage -o go-template='{{ .data.AWS_ACCESS_KEY_ID }}' | base64 -d
S3 provider secret access key:
$ oc get secret -n openshift-storage migstorage -o go-template='{{ .data.AWS_SECRET_ACCESS_KEY }}' | base64 -d
1.5.2. Configuring an AWS S3 storage bucket as a replication repository
You can configure an AWS S3 storage bucket as a replication repository.
Prerequisites
- The AWS S3 storage bucket must be accessible to the source and target clusters.
- You must have the AWS CLI installed.
If you are using the snapshot copy method:
- You must have access to EC2 Elastic Block Storage (EBS).
- The source and target clusters must be in the same region.
- The source and target clusters must have the same storage class.
- The storage class must be compatible with snapshots.
Procedure
Create an AWS S3 bucket:
$ aws s3api create-bucket \ --bucket <bucket_name> \ 1 --region <bucket_region> 2
Create the IAM user
velero
:$ aws iam create-user --user-name velero
Create an EC2 EBS snapshot policy:
$ cat > velero-ec2-snapshot-policy.json <<EOF { "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Action": [ "ec2:DescribeVolumes", "ec2:DescribeSnapshots", "ec2:CreateTags", "ec2:CreateVolume", "ec2:CreateSnapshot", "ec2:DeleteSnapshot" ], "Resource": "*" } ] } EOF
Create an AWS S3 access policy for one or for all S3 buckets:
$ cat > velero-s3-policy.json <<EOF { "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Action": [ "s3:GetObject", "s3:DeleteObject", "s3:PutObject", "s3:AbortMultipartUpload", "s3:ListMultipartUploadParts" ], "Resource": [ "arn:aws:s3:::<bucket_name>/*" 1 ] }, { "Effect": "Allow", "Action": [ "s3:ListBucket", "s3:GetBucketLocation", "s3:ListBucketMultipartUploads" ], "Resource": [ "arn:aws:s3:::<bucket_name>" 2 ] } ] } EOF
"Resource": [ "arn:aws:s3:::*"
Attach the EC2 EBS policy to
velero
:$ aws iam put-user-policy \ --user-name velero \ --policy-name velero-ebs \ --policy-document file://velero-ec2-snapshot-policy.json
Attach the AWS S3 policy to
velero
:$ aws iam put-user-policy \ --user-name velero \ --policy-name velero-s3 \ --policy-document file://velero-s3-policy.json
Create an access key for
velero
:$ aws iam create-access-key --user-name velero { "AccessKey": { "UserName": "velero", "Status": "Active", "CreateDate": "2017-07-31T22:24:41.576Z", "SecretAccessKey": <AWS_SECRET_ACCESS_KEY>, 1 "AccessKeyId": <AWS_ACCESS_KEY_ID> 2 } }
1.5.3. Configuring a Google Cloud Provider storage bucket as a replication repository
You can configure a Google Cloud Provider (GCP) storage bucket as a replication repository.
Prerequisites
- The GCP storage bucket must be accessible to the source and target clusters.
-
You must have
gsutil
installed. If you are using the snapshot copy method:
- The source and target clusters must be in the same region.
- The source and target clusters must have the same storage class.
- The storage class must be compatible with snapshots.
Procedure
Run
gsutil init
to log in:$ gsutil init Welcome! This command will take you through the configuration of gcloud. Your current configuration has been set to: [default] To continue, you must login. Would you like to login (Y/n)?
Set the
BUCKET
variable:$ BUCKET=<bucket_name> 1
- 1
- Specify your bucket name.
Create a storage bucket:
$ gsutil mb gs://$BUCKET/
Set the
PROJECT_ID
variable to your active project:$ PROJECT_ID=$(gcloud config get-value project)
Create a
velero
service account:$ gcloud iam service-accounts create velero \ --display-name "Velero Storage"
Set the
SERVICE_ACCOUNT_EMAIL
variable to the service account’s email address:$ SERVICE_ACCOUNT_EMAIL=$(gcloud iam service-accounts list \ --filter="displayName:Velero Storage" \ --format 'value(email)')
Grant permissions to the service account:
$ ROLE_PERMISSIONS=( compute.disks.get compute.disks.create compute.disks.createSnapshot compute.snapshots.get compute.snapshots.create compute.snapshots.useReadOnly compute.snapshots.delete compute.zones.get ) gcloud iam roles create velero.server \ --project $PROJECT_ID \ --title "Velero Server" \ --permissions "$(IFS=","; echo "${ROLE_PERMISSIONS[*]}")" gcloud projects add-iam-policy-binding $PROJECT_ID \ --member serviceAccount:$SERVICE_ACCOUNT_EMAIL \ --role projects/$PROJECT_ID/roles/velero.server gsutil iam ch serviceAccount:$SERVICE_ACCOUNT_EMAIL:objectAdmin gs://${BUCKET}
Save the service account’s keys to the
credentials-velero
file in the current directory:$ gcloud iam service-accounts keys create credentials-velero \ --iam-account $SERVICE_ACCOUNT_EMAIL
1.5.4. Configuring a Microsoft Azure Blob storage container as a replication repository
You can configure a Microsoft Azure Blob storage container as a replication repository.
Prerequisites
- You must have an Azure storage account.
- You must have the Azure CLI installed.
- The Azure Blob storage container must be accessible to the source and target clusters.
If you are using the snapshot copy method:
- The source and target clusters must be in the same region.
- The source and target clusters must have the same storage class.
- The storage class must be compatible with snapshots.
Procedure
Set the
AZURE_RESOURCE_GROUP
variable:$ AZURE_RESOURCE_GROUP=Velero_Backups
Create an Azure resource group:
$ az group create -n $AZURE_RESOURCE_GROUP --location <CentralUS> 1
- 1
- Specify your location.
Set the
AZURE_STORAGE_ACCOUNT_ID
variable:$ AZURE_STORAGE_ACCOUNT_ID=velerobackups
Create an Azure storage account:
$ az storage account create \ --name $AZURE_STORAGE_ACCOUNT_ID \ --resource-group $AZURE_RESOURCE_GROUP \ --sku Standard_GRS \ --encryption-services blob \ --https-only true \ --kind BlobStorage \ --access-tier Hot
Set the
BLOB_CONTAINER
variable:$ BLOB_CONTAINER=velero
Create an Azure Blob storage container:
$ az storage container create \ -n $BLOB_CONTAINER \ --public-access off \ --account-name $AZURE_STORAGE_ACCOUNT_ID
Create a service principal and credentials for
velero
:$ AZURE_SUBSCRIPTION_ID=`az account list --query '[?isDefault].id' -o tsv` $ AZURE_TENANT_ID=`az account list --query '[?isDefault].tenantId' -o tsv` $ AZURE_CLIENT_SECRET=`az ad sp create-for-rbac --name "velero" --role "Contributor" --query 'password' -o tsv` $ AZURE_CLIENT_ID=`az ad sp list --display-name "velero" --query '[0].appId' -o tsv`
Save the service principal’s credentials in the
credentials-velero
file:$ cat << EOF > ./credentials-velero AZURE_SUBSCRIPTION_ID=${AZURE_SUBSCRIPTION_ID} AZURE_TENANT_ID=${AZURE_TENANT_ID} AZURE_CLIENT_ID=${AZURE_CLIENT_ID} AZURE_CLIENT_SECRET=${AZURE_CLIENT_SECRET} AZURE_RESOURCE_GROUP=${AZURE_RESOURCE_GROUP} AZURE_CLOUD_NAME=AzurePublicCloud EOF
1.6. Migrating applications with the CAM web console
You can migrate application workloads by adding your clusters and replication repository to the CAM web console. Then, you can create and run a migration plan.
If your cluster or replication repository are secured with self-signed certificates, you can create a CA certificate bundle file or disable SSL verification.
1.6.1. Creating a CA certificate bundle file
If you use a self-signed certificate to secure a cluster or a replication repository, certificate verification might fail with the following error message: Certificate signed by unknown authority
.
You can create a custom CA certificate bundle file and upload it in the CAM web console when you add a cluster or a replication repository.
Procedure
Download a CA certificate from a remote endpoint and save it as a CA bundle file:
$ echo -n | openssl s_client -connect <host_FQDN>:<port> \ 1 | sed -ne '/-BEGIN CERTIFICATE-/,/-END CERTIFICATE-/p' > <ca_bundle.cert> 2
1.6.2. Adding a cluster to the CAM web console
You can add a cluster to the CAM web console.
Prerequisites
If you are using Azure snapshots to copy data:
- You must provide the Azure resource group name when you add the source cluster.
- The source and target clusters must be in the same Azure resource group and in the same location.
Procedure
- Log in to the cluster.
Obtain the service account token:
$ oc sa get-token mig -n openshift-migration eyJhbGciOiJSUzI1NiIsImtpZCI6IiJ9.eyJpc3MiOiJrdWJlcm5ldGVzL3NlcnZpY2VhY2NvdW50Iiwia3ViZXJuZXRlcy5pby9zZXJ2aWNlYWNjb3VudC9uYW1lc3BhY2UiOiJtaWciLCJrdWJlcm5ldGVzLmlvL3NlcnZpY2VhY2NvdW50L3NlY3JldC5uYW1lIjoibWlnLXRva2VuLWs4dDJyIiwia3ViZXJuZXRlcy5pby9zZXJ2aWNlYWNjb3VudC9zZXJ2aWNlLWFjY291bnQubmFtZSI6Im1pZyIsImt1YmVybmV0ZXMuaW8vc2VydmljZWFjY291bnQvc2VydmljZS1hY2NvdW50LnVpZCI6ImE1YjFiYWMwLWMxYmYtMTFlOS05Y2NiLTAyOWRmODYwYjMwOCIsInN1YiI6InN5c3RlbTpzZXJ2aWNlYWNjb3VudDptaWc6bWlnIn0.xqeeAINK7UXpdRqAtOj70qhBJPeMwmgLomV9iFxr5RoqUgKchZRG2J2rkqmPm6vr7K-cm7ibD1IBpdQJCcVDuoHYsFgV4mp9vgOfn9osSDp2TGikwNz4Az95e81xnjVUmzh-NjDsEpw71DH92iHV_xt2sTwtzftS49LpPW2LjrV0evtNBP_t_RfskdArt5VSv25eORl7zScqfe1CiMkcVbf2UqACQjo3LbkpfN26HAioO2oH0ECPiRzT0Xyh-KwFutJLS9Xgghyw-LD9kPKcE_xbbJ9Y4Rqajh7WdPYuB0Jd9DPVrslmzK-F6cgHHYoZEv0SvLQi-PO0rpDrcjOEQQ
- Log in to the CAM web console.
- In the Clusters section, click Add cluster.
Fill in the following fields:
-
Cluster name: May contain lower-case letters (
a-z
) and numbers (0-9
). Must not contain spaces or international characters. -
Url: URL of the cluster’s API server, for example,
https://<master1.example.com>:8443
. - Service account token: String that you obtained from the source cluster.
- Azure cluster: Optional. Select it if you are using Azure snapshots to copy your data.
- Azure resource group: This field appears if Azure cluster is checked.
- If you use a custom CA bundle, click Browse and browse to the CA bundle file.
-
Cluster name: May contain lower-case letters (
Click Add cluster.
The cluster appears in the Clusters section.
1.6.3. Adding a replication repository to the CAM web console
You can add an object storage bucket as a replication repository to the CAM web console.
Prerequisites
- You must configure an object storage bucket for migrating the data.
Procedure
- Log in to the CAM web console.
- In the Replication repositories section, click Add repository.
Select a Storage provider type and fill in the following fields:
AWS for AWS S3, MCG, and generic S3 providers:
- Replication repository name: Specify the replication repository name in the CAM web console.
- S3 bucket name: Specify the name of the S3 bucket you created.
- S3 bucket region: Specify the S3 bucket region. Required for AWS S3. Optional for other S3 providers.
-
S3 endpoint: Specify the URL of the S3 service, not the bucket, for example,
https://<s3-storage.apps.cluster.com>
. Required for a generic S3 provider. You must use thehttps://
prefix. -
S3 provider access key: Specify the
<AWS_SECRET_ACCESS_KEY>
for AWS or the S3 provider access key for MCG. -
S3 provider secret access key: Specify the
<AWS_ACCESS_KEY_ID>
for AWS or the S3 provider secret access key for MCG. - Require SSL verification: Clear this check box if you are using a generic S3 provider.
- If you use a custom CA bundle, click Browse and browse to the Base64-encoded CA bundle file.
GCP:
- Replication repository name: Specify the replication repository name in the CAM web console.
- GCP bucket name: Specify the name of the GCP bucket.
-
GCP credential JSON blob: Specify the string in the
credentials-velero
file.
Azure:
- Replication repository name: Specify the replication repository name in the CAM web console.
- Azure resource group: Specify the resource group of the Azure Blob storage.
- Azure storage account name: Specify the Azure Blob storage account name.
-
Azure credentials - INI file contents: Specify the string in the
credentials-velero
file.
- Click Add repository and wait for connection validation.
Click Close.
The new repository appears in the Replication repositories section.
1.6.4. Changing migration plan limits for large migrations
You can change the migration plan limits for large migrations.
Changes should first be tested in your environment to avoid a failed migration.
A single migration plan has the following default limits:
10 namespaces
If this limit is exceeded, the CAM web console displays a Namespace limit exceeded error and you cannot create a migration plan.
100 Pods
If the Pod limit is exceeded, the CAM web console displays a warning message similar to the following example: Plan has been validated with warning condition(s). See warning message. Pod limit: 100 exceeded, found: 104.
100 persistent volumes
If the persistent volume limit is exceeded, the CAM web console displays a similar warning message.
Procedure
Edit the Migration controller CR:
$ oc get migrationcontroller -n openshift-migration NAME AGE migration-controller 5d19h $ oc edit migrationcontroller -n openshift-migration
Update the following parameters:
... migration_controller: true # This configuration is loaded into mig-controller, and should be set on the # cluster where `migration_controller: true` mig_pv_limit: 100 mig_pod_limit: 100 mig_namespace_limit: 10 ...
1.6.5. Creating a migration plan in the CAM web console
You can create a migration plan in the CAM web console.
Prerequisites
The CAM web console must contain the following:
- Source cluster
- Target cluster, which is added automatically during the CAM tool installation
- Replication repository
- The source and target clusters must have network access to each other and to the replication repository.
- If you use snapshots to copy data, the source and target clusters must run on the same cloud provider (AWS, GCP, or Azure) and in the same region.
Procedure
- Log in to the CAM web console.
- In the Plans section, click Add plan.
Enter the Plan name and click Next.
The Plan name can contain up to 253 lower-case alphanumeric characters (
a-z, 0-9
). It must not contain spaces or underscores (_
).- Select a Source cluster.
- Select a Target cluster.
- Select a Replication repository.
- Select the projects to be migrated and click Next.
Select Copy or Move for the PVs:
Copy copies the data in a source cluster’s PV to the replication repository and then restores it on a newly created PV, with similar characteristics, in the target cluster.
Optional: You can verify data copied with the filesystem method by selecting Verify copy. This option, which generates a checksum for each source file and checks it after restoration, significantly reduces performance.
- Move unmounts a remote volume (for example, NFS) from the source cluster, creates a PV resource on the target cluster pointing to the remote volume, and then mounts the remote volume on the target cluster. Applications running on the target cluster use the same remote volume that the source cluster was using. The remote volume must be accessible to the source and target clusters.
- Click Next.
Select a Copy method for the PVs:
Snapshot backs up and restores the disk using the cloud provider’s snapshot functionality. It is significantly faster than Filesystem.
NoteThe storage and clusters must be in the same region and the storage class must be compatible.
- Filesystem copies the data files from the source disk to a newly created target disk.
Select a Storage class for the PVs.
If you selected the Filesystem copy method, you can change the storage class during migration, for example, from Red Hat Gluster Storage or NFS storage to Red Hat Ceph Storage.
- Click Next.
If you want to add a migration hook, click Add Hook and perform the following steps:
- Specify the name of the hook.
- Select Ansible playbook to use your own playbook or Custom container image for a hook written in another language.
- Click Browse to upload the playbook.
- Optional: If you are not using the default Ansible runtime image, specify your custom Ansible image.
- Specify the cluster on which you want the hook to run.
- Specify the service account name.
- Specify the namespace.
Select the migration step at which you want the hook to run:
- PreBackup: Before backup tasks are started on the source cluster
- PostBackup: After backup tasks are complete on the source cluster
- PreRestore: Before restore tasks are started on the target cluster
- PostRestore: After restore tasks are complete on the target cluster
Click Add.
You can add up to four hooks to a migration plan, assigning each hook to a different migration step.
- Click Finish.
Click Close.
The migration plan appears in the Plans section.
1.6.6. Running a migration plan in the CAM web console
You can stage or migrate applications and data with the migration plan you created in the CAM web console.
Prerequisites
The CAM web console must contain the following:
- Source cluster
- Target cluster, which is added automatically during the CAM tool installation
- Replication repository
- Valid migration plan
Procedure
- Log in to the CAM web console on the target cluster.
- Select a migration plan.
Click Stage to copy data from the source cluster to the target cluster without stopping the application.
You can run Stage multiple times to reduce the actual migration time.
When you are ready to migrate the application workload, click Migrate.
Migrate stops the application workload on the source cluster and recreates its resources on the target cluster.
- Optional: In the Migrate window, you can select Do not stop applications on the source cluster during migration.
- Click Migrate.
- Optional: To stop a migration in progress, click the Options menu and select Cancel.
When the migration is complete, verify that the application migrated successfully in the OpenShift Container Platform web console:
-
Click Home
Projects. - Click the migrated project to view its status.
- In the Routes section, click Location to verify that the application is functioning, if applicable.
-
Click Workloads
Pods to verify that the Pods are running in the migrated namespace. -
Click Storage
Persistent volumes to verify that the migrated persistent volume is correctly provisioned.
-
Click Home
1.7. Migrating control plane settings with the Control Plane Migration Assistant (CPMA)
The Control Plane Migration Assistant (CPMA) is a CLI-based tool that assists you in migrating the control plane from OpenShift Container Platform 3.7 (or later) to 4.2. The CPMA processes the OpenShift Container Platform 3 configuration files and generates Custom Resource (CR) manifest files, which are consumed by OpenShift Container Platform 4.2 Operators.
1.7.1. Installing the Control Plane Migration Assistant
You can download the Control Plane Migration Assistant (CPMA) binary file from the Red Hat Customer Portal and install it on Linux, MacOSX, or Windows operating systems.
Procedure
-
In the Red Hat Customer Portal, navigate to Downloads
Red Hat OpenShift Container Platform. - On the Download Red Hat OpenShift Container Platform page, select Red Hat OpenShift Container Platform from the Product Variant list.
- Select CPMA 1.0 for RHEL 7 from the Version list. This binary works on RHEL 7 and RHEL 8.
-
Click Download Now to download
cpma
for Linux or MacOSX orcpma.exe
for Windows. -
Save the file in a directory defined as
$PATH
for Linux or MacOSX or%PATH%
for Windows. For Linux, make the file executable:
$ sudo chmod +x cpma
1.7.2. Using the Control Plane Migration Assistant
The Control Plane Migration Assistant (CPMA) generates CR manifests, which are consumed by OpenShift Container Platform 4.2 Operators, and a report that indicates which OpenShift Container Platform 3 features are supported fully, partially, or not at all.
The CPMA can run in remote mode, retrieving the configuration files from the source cluster using SSH, or in local mode, using local copies of the source cluster’s configuration files.
Prerequisites
- The source cluster must be OpenShift Container Platform 3.7 or later.
- The source cluster must be updated to the latest synchronous release.
- An environment health check must be run on the source cluster to confirm that there are no diagnostic errors or warnings.
- The CPMA binary must be executable.
-
You must have
cluster-admin
privileges for the source cluster.
Procedure
Log in to the OpenShift Container Platform 3 cluster:
$ oc login https://<master1.example.com> 1
- 1
- OpenShift Container Platform 3 master node. You must be logged in to the cluster to receive a token for the Kubernetes and OpenShift Container Platform APIs.
Run the CPMA. Each prompt requires you to provide input, as in the following example:
$ cpma --manifests=false 1 ? Do you wish to save configuration for future use? true ? What will be the source for OCP3 config files? Remote host 2 ? Path to crio config file /etc/crio/crio.conf ? Path to etcd config file /etc/etcd/etcd.conf ? Path to master config file /etc/origin/master/master-config.yaml ? Path to node config file /etc/origin/node/node-config.yaml ? Path to registries config file /etc/containers/registries.conf ? Do wish to find source cluster using KUBECONFIG or prompt it? KUBECONFIG ? Select cluster obtained from KUBECONFIG contexts master1-example-com:443 ? Select master node master1.example.com ? SSH login root 3 ? SSH Port 22 ? Path to private SSH key /home/user/.ssh/openshift_key ? Path to application data, skip to use current directory . INFO[29 Aug 19 00:07 UTC] Starting manifest and report generation INFO[29 Aug 19 00:07 UTC] Transform:Starting for - API INFO[29 Aug 19 00:07 UTC] APITransform::Extract INFO[29 Aug 19 00:07 UTC] APITransform::Transform:Reports INFO[29 Aug 19 00:07 UTC] Transform:Starting for - Cluster INFO[29 Aug 19 00:08 UTC] ClusterTransform::Transform:Reports INFO[29 Aug 19 00:08 UTC] ClusterReport::ReportQuotas INFO[29 Aug 19 00:08 UTC] ClusterReport::ReportPVs INFO[29 Aug 19 00:08 UTC] ClusterReport::ReportNamespaces INFO[29 Aug 19 00:08 UTC] ClusterReport::ReportNodes INFO[29 Aug 19 00:08 UTC] ClusterReport::ReportRBAC INFO[29 Aug 19 00:08 UTC] ClusterReport::ReportStorageClasses INFO[29 Aug 19 00:08 UTC] Transform:Starting for - Crio INFO[29 Aug 19 00:08 UTC] CrioTransform::Extract WARN[29 Aug 19 00:08 UTC] Skipping Crio: No configuration file available INFO[29 Aug 19 00:08 UTC] Transform:Starting for - Docker INFO[29 Aug 19 00:08 UTC] DockerTransform::Extract INFO[29 Aug 19 00:08 UTC] DockerTransform::Transform:Reports INFO[29 Aug 19 00:08 UTC] Transform:Starting for - ETCD INFO[29 Aug 19 00:08 UTC] ETCDTransform::Extract INFO[29 Aug 19 00:08 UTC] ETCDTransform::Transform:Reports INFO[29 Aug 19 00:08 UTC] Transform:Starting for - OAuth INFO[29 Aug 19 00:08 UTC] OAuthTransform::Extract INFO[29 Aug 19 00:08 UTC] OAuthTransform::Transform:Reports INFO[29 Aug 19 00:08 UTC] Transform:Starting for - SDN INFO[29 Aug 19 00:08 UTC] SDNTransform::Extract INFO[29 Aug 19 00:08 UTC] SDNTransform::Transform:Reports INFO[29 Aug 19 00:08 UTC] Transform:Starting for - Image INFO[29 Aug 19 00:08 UTC] ImageTransform::Extract INFO[29 Aug 19 00:08 UTC] ImageTransform::Transform:Reports INFO[29 Aug 19 00:08 UTC] Transform:Starting for - Project INFO[29 Aug 19 00:08 UTC] ProjectTransform::Extract INFO[29 Aug 19 00:08 UTC] ProjectTransform::Transform:Reports INFO[29 Aug 19 00:08 UTC] Flushing reports to disk INFO[29 Aug 19 00:08 UTC] Report:Added: report.json INFO[29 Aug 19 00:08 UTC] Report:Added: report.html INFO[29 Aug 19 00:08 UTC] Successfully finished transformations
The CPMA creates the following files and directory in the current directory if you did not specify an output directory:
-
cpma.yaml
file: Configuration options that you provided when you ran the CPMA -
master1.example.com/
: Configuration files from the master node -
report.json
: JSON-encoded report -
report.html
: HTML-encoded report
-
-
Open the
report.html
file in a browser to view the CPMA report. If you generate CR manifests, apply the CR manifests to the OpenShift Container Platform 4.2 cluster, as in the following example:
$ oc apply -f 100_CPMA-cluster-config-secret-htpasswd-secret.yaml
1.8. Troubleshooting
You can view the migration Custom Resources (CRs) and download logs to troubleshoot a failed migration.
If the application was stopped during the failed migration, you must roll it back manually in order to prevent data corruption.
Manual rollback is not required if the application was not stopped during migration, because the original application is still running on the source cluster.
1.8.1. Viewing migration Custom Resources
The Cluster Application Migration (CAM) tool creates the following Custom Resources (CRs):
MigCluster (configuration, CAM cluster): Cluster definition
MigStorage (configuration, CAM cluster): Storage definition
MigPlan (configuration, CAM cluster): Migration plan
The MigPlan CR describes the source and target clusters, repository, and namespace(s) being migrated. It is associated with 0, 1, or many MigMigration CRs.
Deleting a MigPlan CR deletes the associated MigMigration CRs.
BackupStorageLocation (configuration, CAM cluster): Location of Velero backup objects
VolumeSnapshotLocation (configuration, CAM cluster): Location of Velero volume snapshots
MigMigration (action, CAM cluster): Migration, created during migration
A MigMigration CR is created every time you stage or migrate data. Each MigMigration CR is associated with a MigPlan CR.
Backup (action, source cluster): When you run a migration plan, the MigMigration CR creates two Velero backup CRs on each source cluster:
- Backup CR #1 for Kubernetes objects
- Backup CR #2 for PV data
Restore (action, target cluster): When you run a migration plan, the MigMigration CR creates two Velero restore CRs on the target cluster:
- Restore CR #1 (using Backup CR #2) for PV data
- Restore CR #2 (using Backup CR #1) for Kubernetes objects
Procedure
Get the CR name:
$ oc get <migration_cr> -n openshift-migration 1
- 1
- Specify the migration CR, for example,
migmigration
.
The output is similar to the following:
NAME AGE 88435fe0-c9f8-11e9-85e6-5d593ce65e10 6m42s
View the CR:
$ oc describe <migration_cr> <88435fe0-c9f8-11e9-85e6-5d593ce65e10> -n openshift-migration
The output is similar to the following examples.
MigMigration example
name: 88435fe0-c9f8-11e9-85e6-5d593ce65e10 namespace: openshift-migration labels: <none> annotations: touch: 3b48b543-b53e-4e44-9d34-33563f0f8147 apiVersion: migration.openshift.io/v1alpha1 kind: MigMigration metadata: creationTimestamp: 2019-08-29T01:01:29Z generation: 20 resourceVersion: 88179 selfLink: /apis/migration.openshift.io/v1alpha1/namespaces/openshift-migration/migmigrations/88435fe0-c9f8-11e9-85e6-5d593ce65e10 uid: 8886de4c-c9f8-11e9-95ad-0205fe66cbb6 spec: migPlanRef: name: socks-shop-mig-plan namespace: openshift-migration quiescePods: true stage: false status: conditions: category: Advisory durable: True lastTransitionTime: 2019-08-29T01:03:40Z message: The migration has completed successfully. reason: Completed status: True type: Succeeded phase: Completed startTimestamp: 2019-08-29T01:01:29Z events: <none>
Velero backup CR #2 example (PV data)
apiVersion: velero.io/v1 kind: Backup metadata: annotations: openshift.io/migrate-copy-phase: final openshift.io/migrate-quiesce-pods: "true" openshift.io/migration-registry: 172.30.105.179:5000 openshift.io/migration-registry-dir: /socks-shop-mig-plan-registry-44dd3bd5-c9f8-11e9-95ad-0205fe66cbb6 creationTimestamp: "2019-08-29T01:03:15Z" generateName: 88435fe0-c9f8-11e9-85e6-5d593ce65e10- generation: 1 labels: app.kubernetes.io/part-of: migration migmigration: 8886de4c-c9f8-11e9-95ad-0205fe66cbb6 migration-stage-backup: 8886de4c-c9f8-11e9-95ad-0205fe66cbb6 velero.io/storage-location: myrepo-vpzq9 name: 88435fe0-c9f8-11e9-85e6-5d593ce65e10-59gb7 namespace: openshift-migration resourceVersion: "87313" selfLink: /apis/velero.io/v1/namespaces/openshift-migration/backups/88435fe0-c9f8-11e9-85e6-5d593ce65e10-59gb7 uid: c80dbbc0-c9f8-11e9-95ad-0205fe66cbb6 spec: excludedNamespaces: [] excludedResources: [] hooks: resources: [] includeClusterResources: null includedNamespaces: - sock-shop includedResources: - persistentvolumes - persistentvolumeclaims - namespaces - imagestreams - imagestreamtags - secrets - configmaps - pods labelSelector: matchLabels: migration-included-stage-backup: 8886de4c-c9f8-11e9-95ad-0205fe66cbb6 storageLocation: myrepo-vpzq9 ttl: 720h0m0s volumeSnapshotLocations: - myrepo-wv6fx status: completionTimestamp: "2019-08-29T01:02:36Z" errors: 0 expiration: "2019-09-28T01:02:35Z" phase: Completed startTimestamp: "2019-08-29T01:02:35Z" validationErrors: null version: 1 volumeSnapshotsAttempted: 0 volumeSnapshotsCompleted: 0 warnings: 0
Velero restore CR #2 example (Kubernetes resources)
apiVersion: velero.io/v1 kind: Restore metadata: annotations: openshift.io/migrate-copy-phase: final openshift.io/migrate-quiesce-pods: "true" openshift.io/migration-registry: 172.30.90.187:5000 openshift.io/migration-registry-dir: /socks-shop-mig-plan-registry-36f54ca7-c925-11e9-825a-06fa9fb68c88 creationTimestamp: "2019-08-28T00:09:49Z" generateName: e13a1b60-c927-11e9-9555-d129df7f3b96- generation: 3 labels: app.kubernetes.io/part-of: migration migmigration: e18252c9-c927-11e9-825a-06fa9fb68c88 migration-final-restore: e18252c9-c927-11e9-825a-06fa9fb68c88 name: e13a1b60-c927-11e9-9555-d129df7f3b96-gb8nx namespace: openshift-migration resourceVersion: "82329" selfLink: /apis/velero.io/v1/namespaces/openshift-migration/restores/e13a1b60-c927-11e9-9555-d129df7f3b96-gb8nx uid: 26983ec0-c928-11e9-825a-06fa9fb68c88 spec: backupName: e13a1b60-c927-11e9-9555-d129df7f3b96-sz24f excludedNamespaces: null excludedResources: - nodes - events - events.events.k8s.io - backups.velero.io - restores.velero.io - resticrepositories.velero.io includedNamespaces: null includedResources: null namespaceMapping: null restorePVs: true status: errors: 0 failureReason: "" phase: Completed validationErrors: null warnings: 15
1.8.2. Downloading migration logs
You can download the Velero, Restic, and Migration controller logs in the CAM web console to troubleshoot a failed migration.
Procedure
- Log in to the CAM console.
- Click Plans to view the list of migration plans.
- Click the Options menu of a specific migration plan and select Logs.
- Click Download Logs to download the logs of the Migration controller, Velero, and Restic for all clusters.
To download a specific log:
Specify the log options:
- Cluster: Select the source, target, or CAM host cluster.
- Log source: Select Velero, Restic, or Controller.
Pod source: Select the Pod name, for example,
controller-manager-78c469849c-v6wcf
The selected log is displayed.
You can clear the log selection settings by changing your selection.
- Click Download Selected to download the selected log.
Optionally, you can access the logs by using the CLI, as in the following example:
$ oc get pods -n openshift-migration | grep controller controller-manager-78c469849c-v6wcf 1/1 Running 0 4h49m $ oc logs controller-manager-78c469849c-v6wcf -f -n openshift-migration
1.8.3. Updating deprecated API GroupVersionKinds
In OpenShift Container Platform 4.2, some API GroupVersionKinds
(GVKs) that are used by OpenShift Container Platform 3.x are deprecated.
If your source cluster uses deprecated GVKs, the following warning is displayed when you create a migration plan: Some namespaces contain GVKs incompatible with destination cluster
. You can click See details to view the namespace and the incompatible GVKs.
This warning does not block the migration.
During migration, the deprecated GVKs are saved in the Velero Backup Custom Resource (CR) #1 for Kubernetes objects. You can download the Backup CR, extract the deprecated GVK yaml
files, and update them with the oc convert
command. Then you create the updated GVKs on the target cluster.
Procedure
- Run the migration plan.
View the MigPlan CR:
$ oc describe migplan <migplan_name> -n openshift-migration 1
- 1
- Specify the name of the migration plan.
The output is similar to the following:
metadata: ... uid: 79509e05-61d6-11e9-bc55-02ce4781844a 1 status: ... conditions: - category: Warn lastTransitionTime: 2020-04-30T17:16:23Z message: 'Some namespaces contain GVKs incompatible with destination cluster. See: `incompatibleNamespaces` for details' status: "True" type: GVKsIncompatible incompatibleNamespaces: - gvks: - group: batch kind: cronjobs 2 version: v2alpha1 - group: batch kind: scheduledjobs 3 version: v2alpha1
Get the MigMigration name associated with the MigPlan UID:
$ oc get migmigration -o json | jq -r '.items[] | select(.metadata.ownerReferences[].uid=="<migplan_uid>") | .metadata.name' 1
- 1
- Specify the MigPlan UID.
Get the MigMigration UID associated with the MigMigration name:
$ oc get migmigration <migmigration_name> -o jsonpath='{.metadata.uid}' 1
- 1
- Specify the MigMigration name.
Get the Velero Backup name associated with the MigMigration UID:
$ oc get backup.velero.io --selector migration-initial-backup="<migmigration_uid>" -o jsonpath={.items[*].metadata.name} 1
- 1
- Specify the MigMigration UID.
Download the contents of the Velero Backup to your local machine:
For AWS S3:
$ aws s3 cp s3://<bucket_name>/velero/backups/<backup_name> <backup_local_dir> --recursive 1
- 1
- Specify the bucket, backup name, and your local backup directory name.
For GCP:
$ gsutil cp gs://<bucket_name>/velero/backups/<backup_name> <backup_local_dir> --recursive 1
- 1
- Specify the bucket, backup name, and your local backup directory name.
For Azure:
$ azcopy copy 'https://velerobackups.blob.core.windows.net/velero/backups/<backup_name>' '<backup_local_dir>' --recursive 1
- 1
- Specify the backup name and your local backup directory name.
Extract the Velero Backup archive file:
$ tar -xfv <backup_local_dir>/<backup_name>.tar.gz -C <backup_local_dir>
Run
oc convert
in offline mode on each deprecated GVK:$ oc convert <backup_local_dir>/resources/<gvk>.yaml 1
- 1
- Specify the deprecated GVK.
Create the converted GVK on the target cluster:
$ oc create -f <gvk>.yaml 1
- 1
- Specify the converted GVK.
1.8.4. Error messages
1.8.4.1. Restic timeout error message in the Velero Pod log
If a migration fails because Restic times out, the following error appears in the Velero Pod log:
level=error msg="Error backing up item" backup=velero/monitoring error="timed out waiting for all PodVolumeBackups to complete" error.file="/go/src/github.com/heptio/velero/pkg/restic/backupper.go:165" error.function="github.com/heptio/velero/pkg/restic.(*backupper).BackupPodVolumes" group=v1
The default value of restic_timeout
is one hour. You can increase this parameter for large migrations, keeping in mind that a higher value may delay the return of error messages.
Procedure
-
In the OpenShift Container Platform web console, navigate to Operators
Installed Operators. - Click Cluster Application Migration Operator.
- In the MigrationController tab, click migration-controller.
In the YAML tab, update the following parameter value:
spec: restic_timeout: 1h 1
- 1
- Valid units are
h
(hours),m
(minutes), ands
(seconds), for example,3h30m15s
.
- Click Save.
1.8.4.2. ResticVerifyErrors
in the MigMigration Custom Resource
If data verification fails when migrating a PV with the filesystem data copy method, the following error appears in the MigMigration Custom Resource (CR):
status: conditions: - category: Warn durable: true lastTransitionTime: 2020-04-16T20:35:16Z message: There were verify errors found in 1 Restic volume restores. See restore `<registry-example-migration-rvwcm>` for details 1 status: "True" type: ResticVerifyErrors 2
A data verification error does not cause the migration process to fail.
You can check the target cluster’s Restore CR to identify the source of the data verification error.
Procedure
- Log in to the target cluster.
View the Restore CR:
$ oc describe <registry-example-migration-rvwcm> -n openshift-migration
The output identifies the PV with
PodVolumeRestore
errors:status: phase: Completed podVolumeRestoreErrors: - kind: PodVolumeRestore name: <registry-example-migration-rvwcm-98t49> namespace: openshift-migration podVolumeRestoreResticErrors: - kind: PodVolumeRestore name: <registry-example-migration-rvwcm-98t49> namespace: openshift-migration
View the
PodVolumeRestore
CR:$ oc describe <migration-example-rvwcm-98t49>
The output identifies the Restic Pod that logged the errors:
completionTimestamp: 2020-05-01T20:49:12Z errors: 1 resticErrors: 1 ... resticPod: <restic-nr2v5>
View the Restic Pod log:
$ oc logs -f restic-nr2v5
1.8.5. Manually rolling back a migration
If your application was stopped during a failed migration, you must roll it back manually in order to prevent data corruption in the PV.
This procedure is not required if the application was not stopped during migration, because the original application is still running on the source cluster.
Procedure
On the target cluster, switch to the migrated project:
$ oc project <project>
Get the deployed resources:
$ oc get all
Delete the deployed resources to ensure that the application is not running on the target cluster and accessing data on the PVC:
$ oc delete <resource_type>
To stop a DaemonSet without deleting it, update the
nodeSelector
in the YAML file:apiVersion: apps/v1 kind: DaemonSet metadata: name: hello-daemonset spec: selector: matchLabels: name: hello-daemonset template: metadata: labels: name: hello-daemonset spec: nodeSelector: role: worker 1
- 1
- Specify a
nodeSelector
value that does not exist on any node.
Update each PV’s reclaim policy so that unnecessary data is removed. During migration, the reclaim policy for bound PVs is
Retain
, to ensure that data is not lost when an application is removed from the source cluster. You can remove these PVs during rollback.apiVersion: v1 kind: PersistentVolume metadata: name: pv0001 spec: capacity: storage: 5Gi accessModes: - ReadWriteOnce persistentVolumeReclaimPolicy: Retain 1 ... status: ...
- 1
- Specify
Recycle
orDelete
.
On the source cluster, switch to your migrated project:
$ oc project <project_name>
Obtain the project’s deployed resources:
$ oc get all
Start one or more replicas of each deployed resource:
$ oc scale --replicas=1 <resource_type>/<resource_name>
-
Update the
nodeSelector
of a DaemonSet to its original value, if you changed it during the procedure.
1.8.6. Gathering data for a customer support case
If you open a customer support case, you can run the must-gather
tool with the openshift-migration-must-gather-rhel8
image to collect information about your cluster and upload it to the Red Hat Customer Portal.
The openshift-migration-must-gather-rhel8
image collects logs and Custom Resource data that are not collected by the default must-gather
image.
Procedure
-
Navigate to the directory where you want to store the
must-gather
data. Run the
oc adm must-gather
command:$ oc adm must-gather --image=registry.redhat.io/rhcam-1-2/openshift-migration-must-gather-rhel8
The
must-gather
tool collects the cluster information and stores it in amust-gather.local.<uid>
directory.-
Remove authentication keys and other sensitive information from the
must-gather
data. Create an archive file containing the contents of the
must-gather.local.<uid>
directory:$ tar cvaf must-gather.tar.gz must-gather.local.<uid>/
You can attach the compressed file to your customer support case on the Red Hat Customer Portal.
1.8.7. Known issues
This release has the following known issues:
During migration, the Cluster Application Migration (CAM) tool preserves the following namespace annotations:
-
openshift.io/sa.scc.mcs
-
openshift.io/sa.scc.supplemental-groups
openshift.io/sa.scc.uid-range
These annotations preserve the UID range, ensuring that the containers retain their file system permissions on the target cluster. There is a risk that the migrated UIDs could duplicate UIDs within an existing or future namespace on the target cluster. (BZ#1748440)
-
-
If an AWS bucket is added to the CAM web console and then deleted, its status remains
True
because the MigStorage CR is not updated. (BZ#1738564) - Most cluster-scoped resources are not yet handled by the CAM tool. If your applications require cluster-scoped resources, you may have to create them manually on the target cluster.
- If a migration fails, the migration plan does not retain custom PV settings for quiesced pods. You must manually roll back the migration, delete the migration plan, and create a new migration plan with your PV settings. (BZ#1784899)
-
If a large migration fails because Restic times out, you can increase the
restic_timeout
parameter value (default:1h
) in the Migration controller CR. - If you select the data verification option for PVs that are migrated with the filesystem copy method, performance is significantly slower. Velero generates a checksum for each file and checks it when the file is restored.
-
In the current release (CAM 1.2), you cannot migrate from OpenShift Container Platform 3.7 to 4.4 because certain API
GroupVersionKinds
(GVKs) that are used by the source cluster are deprecated. You can manually update the GVKs after migration. (BZ#1817251) -
If you cannot install CAM 1.2 on an OpenShift Container Platform 3 cluster, download the current
operator.yml
file, which fixes this problem. (BZ#1843059)