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Revert changes related to Elastic Stack
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deploy-manage/deploy.md

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- Choose {{serverless-full}} if you want automatic access to the latest features and don't want to manage version compatibility
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- Choose other deployment types if you need more control over version management
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:::{include} /deploy-manage/deploy/_snippets/stack-version-compatibility.md
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:::
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:::{tip}
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Learn more about [versioning and availability](/get-started/versioning-availability.md).
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:::

deploy-manage/deploy/cloud-on-k8s/kibana-instance-quickstart.md

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# Deploy a {{kib}} instance [k8s-deploy-kibana]
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To deploy a simple {{kib}} specification, with one {{kib}} instance:
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To deploy a simple [{{kib}}](/get-started/the-stack.md#stack-components-kibana) specification, with one {{kib}} instance:
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1. Specify a {{kib}} instance and associate it with your {{es}} `quickstart` cluster created previously under [Deploying an {{es}} cluster](elasticsearch-deployment-quickstart.md):
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deploy-manage/deploy/self-managed.md

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For a comparison of these deployment options, refer to [Choosing your deployment type](/deploy-manage/deploy.md#choosing-your-deployment-type) and [](/deploy-manage/deploy/deployment-comparison.md).
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:::
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## Installation order
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:::{include} /deploy-manage/deploy/_snippets/installation-order.md
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## Section overview
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This section focuses on deploying {{es}} and {{kib}} without an orchestrator.

deploy-manage/deploy/self-managed/_snippets/install-next-steps.md

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You can also do the following:
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* Consider installing [additional {{stack}} components](/get-started/search-ai-platform.md).
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* Consider installing [additional {{stack}} components](/get-started/the-stack.md).
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* Learn how to [ingest data into {{es}}](/manage-data/index.md).
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* Learn about [production considerations](/deploy-manage/production-guidance.md).
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* Explore [other topics](/deploy-manage/deploy/self-managed.md#other-important-sections) to learn how to secure and manage your cluster.

deploy-manage/deploy/self-managed/_snippets/ports.md

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| 9300 and onwards | TCP | Transport API. Used for intra-cluster communications and client access via the transport API (Java client). | Elasticsearch [`transport.port`](elasticsearch://reference/elasticsearch/configuration-reference/networking-settings.md#common-network-settings) |
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| 5601 | HTTP | {{kib}} default access port. | Kibana [`server.port`](kibana://reference/configuration-reference/general-settings.md#server-port) |
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Additional ports might be required for [optional {{stack}} components](/get-started/search-ai-platform.md). Refer to the installation guide for the component that you want to install.
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Additional ports might be required for [optional {{stack}} components](/get-started/the-stack.md). Refer to the installation guide for the component that you want to install.

explore-analyze/alerts-cases/alerts/view-alerts.md

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Remove old or rarely-accessed alerts in your space by running an alert cleanup task, which deletes alerts according to the criteria that you define. Alerts that are attached to cases are not deleted.
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1. Open the **Rules** page by going to **Stack Management > Alerts and Insights > Rules** in the main menu or using the [global search field](/explore-analyze/find-and-organize/find-apps-and-objects.md).
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1. Open the **Rules** page by going to **Stack Management > Alerts and Insights > Rules** in the main menu or using the global search field.
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2. Click **Settings** to open the settings for all rules in the space.
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3. In the **Clean up alert history** section, click **Clean up**.
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4. Define criteria for the alert cleanup task. You can choose to delete alerts that are active or inactive and meet a certain age.

explore-analyze/query-filter/aggregations/tutorial-analyze-ecommerce-data-with-aggregations-using-query-dsl.md

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2. The [sample eCommerce data](../../index.md#gs-get-data-into-kibana) loaded into {{es}}. To load sample data follow these steps in your UI:
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* Open the **Integrations** pages by searching in the [global search field](/explore-analyze/find-and-organize/find-apps-and-objects.md).
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* Open the **Integrations** pages by searching in the global search field.
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* Search for `sample data` in the **Integrations** search field.
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* Open the **Sample data** page.
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* Select the **Other sample data sets** collapsible.

get-started/howto-use-the-docs.md

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These badges appear at the top of a page or section and tell you which products, deployment models, and versions the content applies to. They also indicate the maturity level of a feature, such as **beta**, **technical preview**, or **generally available (GA)**. This system ensures that you can identify content specific to your environment and version.
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:::{tip}
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An {{stack}} badge indicates that a page applies to [{{search-platform}}](/get-started/search-ai-platform.md) components across all deployment options except {{serverless-full}}. If a page applies to all deployment options, it will have both {{serverless-short}} and Stack badges.
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An {{stack}} badge indicates that a page applies to [{{stack}}](/get-started/the-stack.md) components across all deployment options except {{serverless-full}}. If a page applies to all deployment options, it will have both {{serverless-short}} and Stack badges.
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## Page options
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This means the feature is:
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* Generally Available (GA) in the [{{search-platform}}](/get-started/search-ai-platform.md) across all deployment options except {{serverless-full}}
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* Generally Available (GA) in the [{{stack}}](/get-started/the-stack.md) across all deployment options except {{serverless-full}}
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* Introduced in version 9.1.0
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:::{tip}

get-started/images/platform-components-diagram.svg

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