GA of Keep on latest version

website/docs/docs/dbt-versions/core-upgrade/01-upgrading-to-v1.8.md

@@ -17,7 +17,7 @@ dbt Labs is committed to providing backward compatibility for all versions 1.x,
 
 dbt Labs plans to release dbt Core v1.8.0-b1 and dbt Labs-maintained adapters on February 28th, 2024.
 
-## Keep on latest version <Lifecycle status='public preview' />
+## Keep on latest version 
 
 With dbt Cloud, you can get early access to many new features and functionality before they're in the Generally Available (GA) release of dbt Core v1.8 without the need to manage version upgrades. Refer to the [Keep on latest version](/docs/dbt-versions/upgrade-dbt-version-in-cloud) setting for more details.
 

website/docs/docs/dbt-versions/release-notes/70-Apr-2024/keep-on-latest-version.md

@@ -0,0 +1,18 @@
+---
+title: "Update: GA release of Keep on latest version"
+description: "April 2024: The new Keep on latest version setting is now GA, no longer in Public Preview. It allows dbt Labs to handle version upgrades for you."
+sidebar_label: "Update: Keep on latest version"
+sidebar_position: 10
+tags: [Apr-2024]
+date: 2024-04-03
+---
+
+
+_Now available in the dbt version dropdown in dbt Cloud — starting with select customers, rolling out to wider availability through February and March._
+
+When the new **Keep on latest version** setting is enabled, you always get the latest fixes and early access to new functionality for your dbt project. dbt Labs will handle upgrades behind-the-scenes, as part of testing and redeploying the dbt Cloud application — just like other dbt Cloud capabilities and other SaaS tools that you're using. No more manual upgrades and no more need for _a second sandbox project_ just to try out new features in development.
+
+To learn more about the new setting, refer to [Keep on latest version](/docs/dbt-versions/upgrade-dbt-version-in-cloud#keep-on-latest-version) for details. 
+
+<Lightbox src="/img/docs/dbt-cloud/cloud-configuring-dbt-cloud/choosing-dbt-version/example-environment-settings.png" width="90%" title="Example of the Keep on latest version setting"/>
+

website/docs/docs/dbt-versions/upgrade-dbt-version-in-cloud.md

@@ -11,7 +11,7 @@ Navigate to the settings page of an environment, then click **Edit**. Click the
 
 <Lightbox src="/img/docs/dbt-cloud/cloud-configuring-dbt-cloud/choosing-dbt-version/example-environment-settings.png" width="90%" title="Example environment settings in dbt Cloud"/>
 
-### Keep on latest version <Lifecycle status='public preview' />
+### Keep on latest version
 
 By choosing to **Keep on latest version**, you always get the latest fixes and early access to new functionality for your dbt project. dbt Labs will handle upgrades for you, as part of testing and redeploying the dbt Cloud SaaS application.
 

website/docs/guides/core-to-cloud-1.md

@@ -129,7 +129,7 @@ This difference streamlines the process of switching between development, stagin
 1. **Set up development environment** — Set up your [development](/docs/dbt-cloud-environments#create-a-development-environment) environment and [development credentials](/docs/cloud/dbt-cloud-ide/develop-in-the-cloud#access-the-cloud-ide). You’ll need this to access your dbt project and start developing.
 
 2. **dbt Core version** — In your dbt Cloud environment and credentials, use the same dbt Core version you use locally. You can run `dbt --version` in the command line to find out which version of dbt Core you’re using.
-   - Once your full migration is complete, consider upgrading your environments to [Keep on latest version](/docs/dbt-versions/upgrade-dbt-version-in-cloud#keep-on-latest-version-) to always get the latest features and more.
+   - Once your full migration is complete, consider upgrading your environments to [Keep on latest version](/docs/dbt-versions/upgrade-dbt-version-in-cloud#keep-on-latest-version) to always get the latest features and more.
 
 3. **Connect to your data platform** — When using dbt Cloud, you can [connect to your data platform](/docs/cloud/connect-data-platform/about-connections) directly in the UI.
    - Each environment is roughly equivalent to an entry in your `profiles.yml` file. This means you don't need a `profiles.yml` file in your project.
@@ -187,7 +187,7 @@ To use the [dbt Cloud's job scheduler](/docs/deploy/job-scheduler), set up one e
 
 ### Initial setup steps
 1. **dbt Core version** — In your environment settings, configure dbt Cloud with the same dbt Core version.
-   - Once your full migration is complete, we recommend upgrading your environments to [Keep on latest version](/docs/dbt-versions/upgrade-dbt-version-in-cloud#keep-on-latest-version-) to always get the latest features and more. You only need to do this once.
+   - Once your full migration is complete, we recommend upgrading your environments to [Keep on latest version](/docs/dbt-versions/upgrade-dbt-version-in-cloud#keep-on-latest-version) to always get the latest features and more. You only need to do this once.
 
 2. **Configure your jobs** — [Create jobs](/docs/deploy/deploy-jobs#create-and-schedule-jobs) for automated or event-driven dbt jobs. You can use cron execution, manual, pull requests, or API triggers.
    - Note that alongside [jobs in dbt Cloud](/docs/deploy/jobs), discover other ways to schedule and run your dbt jobs with the help of other tools. Refer to [Integrate with other tools](/docs/deploy/deployment-tools) for more information.

website/docs/reference/global-configs/version-compatibility.md

@@ -14,7 +14,7 @@ Running with dbt=1.0.0
 Found 13 models, 2 tests, 1 archives, 0 analyses, 204 macros, 2 operations....
 ```
 
-:::info Keep on latest version <Lifecycle status='public preview' />
+:::info Keep on latest version
 <Snippet path="_config-dbt-version-check" />
 
 :::

website/docs/reference/project-configs/require-dbt-version.md

@@ -22,7 +22,7 @@ When you set this configuration, dbt sends a helpful error message for any user
 
 If this configuration is not specified, no version check will occur.
 
-:::info Keep on latest version <Lifecycle status='public preview' />
+:::info Keep on latest version 
 
 <Snippet path="_config-dbt-version-check" />
 

website/snippets/_config-dbt-version-check.md

@@ -1,10 +1,16 @@
 
-Starting in 2024, when you select **Keep on latest version** in dbt Cloud, dbt will ignore the `require-dbt-version` config. Refer to [Keep on latest version](/docs/dbt-versions/upgrade-dbt-version-in-cloud#keep-on-latest-version) (available in beta) for more details. 
+Starting in 2024, when you select **Keep on latest version** in dbt Cloud, dbt will ignore the `require-dbt-version` config. Refer to [Keep on latest version](/docs/dbt-versions/upgrade-dbt-version-in-cloud#keep-on-latest-version) for more details. 
 
 dbt Labs is committed to zero breaking changes for code in dbt projects, with ongoing releases to dbt Cloud and new versions of dbt Core. We also recommend these best practices:
 
-- **If you install dbt packages** — for use in your project, whether the package is maintained by your colleagues or a member of the open source dbt community, we recommend pinning the package to a specific revision or `version` boundary. Since v1.7, dbt manages this out-of-the-box by _locking_ the version/revision of packages in development in order to guarantee predictable builds in production. To learn more, refer to [Predictable package installs](/reference/commands/deps#predictable-package-installs).
-- **If you maintain dbt packages** — whether on behalf of your colleagues or members of the open source community, we recommend writing defensive code that checks to verify that other required packages and global macros are available. For example, if your package depends on the availability of a `date_spine` macro in the global `dbt` namespace, you can write:
+<expandable alt_header="Installing dbt packages" >
+
+If you install dbt packages for use in your project, whether the package is maintained by your colleagues or a member of the open source dbt community, we recommend pinning the package to a specific revision or `version` boundary. Since v1.7, dbt manages this out-of-the-box by _locking_ the version/revision of packages in development in order to guarantee predictable builds in production. To learn more, refer to [Predictable package installs](/reference/commands/deps#predictable-package-installs).
+
+</expandable>
+<expandable alt_header="Maintaining dbt packages" >
+
+If you maintain dbt packages, whether on behalf of your colleagues or members of the open source community, we recommend writing defensive code that checks to verify that other required packages and global macros are available. For example, if your package depends on the availability of a `date_spine` macro in the global `dbt` namespace, you can write:
 
 <File name="models/some_days.sql">
 
@@ -21,3 +27,5 @@ dbt Labs is committed to zero breaking changes for code in dbt projects, with on
 ```
 
 </File>
+
+</expandable>