Skip to content
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
5 changes: 1 addition & 4 deletions welcome/index.adoc
Original file line number Diff line number Diff line change
Expand Up @@ -219,7 +219,7 @@ xref:../applications/working_with_helm_charts/understanding-helm.adoc#understand

- **xref:../cicd/builds/understanding-image-builds.adoc#understanding-image-builds[Understand image builds]**: Choose from different build strategies (Docker, S2I, custom, and pipeline) that can include different kinds of source materials, such as Git repositories, local binary inputs, and external artifacts. You can follow examples of build types from basic builds to advanced builds.

- **xref:../openshift_images/index.adoc#overview-of-images[Create container images]**: A container image is the most basic building block in {product-title} and Kubernetes applications. By defining image streams, you can gather multiple versions of an image in one place as you continue to development the image stream. With S2I containers, you can insert your source code into a base container. The base container is configured to run code of a particular type, such as Ruby, Node.js, or Python.
- **xref:../openshift_images/index.adoc#overview-of-images[Create container images]**: A container image is the most basic building block in {product-title} and Kubernetes applications. By defining image streams, you can gather multiple versions of an image in one place as you continue to develop the image stream. With S2I containers, you can insert your source code into a base container. The base container is configured to run code of a particular type, such as Ruby, Node.js, or Python.

- **xref:../applications/deployments/what-deployments-are.adoc#what-deployments-are[Create deployments]**: Use `Deployment` and `DeploymentConfig` objects to exert fine-grained management over applications.
xref:../applications/deployments/managing-deployment-processes.adoc#deployment-operations[Manage deployments] by using the *Workloads* page or OpenShift CLI (`oc`). Learn xref:../applications/deployments/deployment-strategies.adoc#deployment-strategies[rolling, recreate, and custom] deployment strategies.
Expand Down Expand Up @@ -299,10 +299,7 @@ You can xref:../storage/expanding-persistent-volumes.adoc#expanding-persistent-v

- **xref:../operators/understanding/olm-understanding-operatorhub.adoc#olm-understanding-operatorhub[Manage Operators]**: Lists of Red Hat, ISV, and community Operators can be reviewed by cluster administrators and xref:../operators/admin/olm-adding-operators-to-cluster.adoc#olm-adding-operators-to-a-cluster[installed on their clusters]. After you install them, you can xref:../operators/user/olm-creating-apps-from-installed-operators.adoc#olm-creating-apps-from-installed-operators[run], xref:../operators/admin/olm-upgrading-operators.adoc#olm-upgrading-operators[upgrade], back up, or otherwise manage the Operator on your cluster.

// Check in with M.Burke on May 10, 2023
////
- **xref:../windows_containers/understanding-windows-container-workloads.html#understanding-windows-container-workloads_understanding-windows-container-workloads[Understanding Windows container workloads]**. You can use the {productwinc} feature to run Windows compute nodes in an {product-title} cluster. This is possible by using the Red Hat Windows Machine Config Operator (WMCO) to install and manage Windows nodes.
////

=== Change cluster components

Expand Down