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chore: Fix spelling mistakes reported by typos
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modules/ROOT/pages/kubernetes/gke.adoc

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https://cloud.google.com/kubernetes-engine[https://cloud.google.com/kubernetes-engine{external-link-icon}^]
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Autopilot clusters are not suported, as the xref:secret-operator:index.adoc[secret-operator] requires special privileges that are not granted in Autopilot clusters.
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Autopilot clusters are not supported, as the xref:secret-operator:index.adoc[secret-operator] requires special privileges that are not granted in Autopilot clusters.
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Other than that no special steps are needed.

modules/ROOT/pages/release-guide.adoc

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:description: Work-in-progress internal guide with the git and cargo steps to cut a release and bump the next development version.
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(this is work in progress that is why it's not explicitely linked in nav.doc)
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(this is work in progress that is why it's not explicitly linked in nav.doc)
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Prerequisites:
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modules/ROOT/partials/release-notes/release-22.9.adoc

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===== OpenShift compatibility
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We have made continued progress towards OpenShift compability, and the following operators can now be previewed on OpenShift.
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We have made continued progress towards OpenShift compatibility, and the following operators can now be previewed on OpenShift.
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Further improvements are expected in future releases, but no stability or compatibility guarantees are currently made for OpenShift clusters.
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* https://github.com/stackabletech/airflow-operator/pull/127[Apache Airflow]

modules/ROOT/partials/release-notes/release-24.3.adoc

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The `spec.mode` field is now required and must be set to `cluster`.
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The `spec.mainClass` field is now required and must point to a location on ths file system or S3 where the main class is located.
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The `spec.mainClass` field is now required and must point to a location on the file system or S3 where the main class is located.
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====
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* https://github.com/stackabletech/spark-k8s-operator/pull/355[Remove usage of `userClassPathFirst` properties]

modules/ROOT/partials/release-notes/release-24.7.adoc

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Afterwards you will need to upgrade the CustomResourceDefinitions (CRDs) installed by the Stackable Platform.
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The reason for this is that helm will uninstall the operators but not the CRDs. This can be done using `kubectl replace`.
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NOTE: The cluster name for the hello-world operator has been changed in this release so the CRD cannot be patched in-place. For this reason in the snipets below the CRD for this operator will be subject to a `delete` command (plus an `apply` as part of the operator rollout in the new release) instead of a `replace`.
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NOTE: The cluster name for the hello-world operator has been changed in this release so the CRD cannot be patched in-place. For this reason in the snippets below the CRD for this operator will be subject to a `delete` command (plus an `apply` as part of the operator rollout in the new release) instead of a `replace`.
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[source]
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IMPORTANT: Do not override this property for the 1.27 cluster version.
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This is necessary because the 2.x versions do not support the XML format for flow definitions anymore.
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Support for the JSON format has been addded in version 1.16 and both formats have been maintained up to (excluding) version 2.0.
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Support for the JSON format has been added in version 1.16 and both formats have been maintained up to (excluding) version 2.0.
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The next SDP release 24.11 will automatically take care of this step for you.

modules/compliance/pages/licenses.adoc

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https://github.com/stackabletech/docker-images/blob/main/LICENSE[License{external-link-icon}^] for the product Docker images.
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The Docker images are built on the https://catalog.redhat.com/software/containers/ubi9-minimal/61832888c0d15aff4912fe0d[Red Hat ubi9-minimal base image{external-link-icon}^].
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It is https://www.redhat.com/licenses/EULA_Red_Hat_Universal_Base_Image_English_20190422.pdf[licensed seperately{external-link-icon}^].
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It is https://www.redhat.com/licenses/EULA_Red_Hat_Universal_Base_Image_English_20190422.pdf[licensed separately{external-link-icon}^].

modules/concepts/pages/artifact-registries/container-images.adoc

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== Images overview
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Every operator is packaged into its own image and every product is also packaged into its own, seperate image.
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Every operator is packaged into its own image and every product is also packaged into its own, separate image.
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Products that require multiple different processes to run, such as a coordinator and a worker, still only run off of one image;
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usually these products also only provide a single artifact that is used to run all processes.
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modules/concepts/pages/index.adoc

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== Overview
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The xref:overview.adoc[Platform overview] is a good starting point to understand the Stackable Data Platform covering the overall architecture, deployement and configuration.
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The xref:overview.adoc[Platform overview] is a good starting point to understand the Stackable Data Platform covering the overall architecture, deployment and configuration.
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== General configuration mechanisms
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== Connectivity
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Many Platform components depend on other components or expose functionality that you can connect to.
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This connectivity is achived with xref:service-discovery.adoc[service discovery ConfigMaps].
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To access your Stackable operated products from outside the Kuberenetes cluster learn more about xref:service-exposition.adoc[].
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This connectivity is achieved with xref:service-discovery.adoc[service discovery ConfigMaps].
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To access your Stackable operated products from outside the Kubernetes cluster learn more about xref:service-exposition.adoc[].
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== Security
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modules/concepts/pages/overrides.adoc

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For a role or role group, at the same level of `config`, you can specify `podOverrides` for any of the attributes you can configure on a Pod.
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Every Stacklet contains one or more StatefulSets, DaemonSets, or Deployments, which in turn contain a Pod template that is used by Kubernetes to create the Pods that make up the Stacklet.
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The `podOverrides` allow you to specify a fragment of a Pod template that is then overlayed over the one created by the operator.
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The `podOverrides` allow you to specify a fragment of a Pod template that is then overlaid over the one created by the operator.
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An example for an HDFS cluster looks as follows:
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modules/concepts/pages/s3.adoc

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==== Stand-alone resources
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To reuse S3Buckets across different applications, they can be defined as stand-alone resources. In a similar fashion, S3Connections can also be defined as stand-alone resources.
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In the example below, ony bucket is used by a DruidCluster and a second bucket is used by both a TrinoCluster and a SparkCluster. Both buckets reference the same S3Connection.
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In the example below, one bucket is used by a DruidCluster and a second bucket is used by both a TrinoCluster and a SparkCluster. Both buckets reference the same S3Connection.
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image::s3-fully-separated.drawio.svg[One S3Connection is referenced by two different S3Buckets. The first Bucket is referenced by a DruidCluster and the second bucket is referenced by a SparkCluster and TrinoCluster. No object is inlined.]
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