latest version (#4887)

## What are you changing in this pull request and why?

Beta release for the new **Keep on latest version** setting for the
**dbt version** option in an environment's settings.

Renamed file/page title:
- `Upgrade Core version in Cloud` to `Upgrade dbt version in Cloud`

New pages/sections:
- New **Keep on latest version** section in Upgrade Core version in
Cloud
- Create new **Version** page
- Release note

Update existing pages: 
- Callout on About dbt Core versions
- Callout on "old" upgrade blog
- Callout on Upgrade to v1.8
- Updates to the Deps page
- Callout on Checking version compatibility page
- Callout on require-dbt-version

## Checklist

- [x] Review the [Content style
guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md)
so my content adheres to these guidelines.
- [x] For [docs
versioning](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#about-versioning),
review how to [version a whole
page](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version)
and [version a block of
content](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#versioning-blocks-of-content).
- [x] Needs review from product team

Removing pages (delete if not applicable):
- [x] Provide a unique filename for new pages
- [x] Run link testing locally with `npm run build` to update the links
that point to deleted pages

Renaming pages:
- [x] Use a unique filename for the new name
- [x] Update YAML front matter in file 
- [x] Update links with new URL
- [x] Add new item to vercel.json (redirects) file
- [x] Update sidebar.js

website/blog/2021-11-23-how-to-upgrade-dbt-versions.md

@@ -12,6 +12,18 @@ date: 2021-11-29
 is_featured: true
 ---
 
+:::tip February 2024 Update
+
+It's been a few years since dbt-core turned 1.0! Since then, we've committed to releasing zero breaking changes whenever possible and it's become much easier to upgrade dbt Core versions.
+
+In 2024, we're taking this promise further by:
+- Stabilizing interfaces for everyone — adapter maintainers, metadata consumers, and (of course) people writing dbt code everywhere — as discussed in [our November 2023 roadmap update](https://github.com/dbt-labs/dbt-core/blob/main/docs/roadmap/2023-11-dbt-tng.md).
+- Introducing **Keep on latest version** in dbt Cloud. No more manual upgrades and no more need for _a second sandbox project_ just to try out new features in development. For more details, refer to [Upgrade Core version in Cloud](/docs/dbt-versions/upgrade-dbt-version-in-cloud).
+
+We're leaving the rest of this post as is, so we can all remember how it used to be. Enjoy a stroll down memory lane.
+
+:::
+
 As we get closer to dbt v1.0 shipping in December, it's a perfect time to get your installation up to scratch. dbt 1.0 represents the culmination of over five years of development and refinement to the analytics engineering experience - smoothing off sharp edges, speeding up workflows and enabling whole new classes of work.
 
 Even with all the new shinies on offer, upgrading can be daunting – you rely on dbt to power your analytics workflow and can’t afford to change things just to discover that your daily run doesn’t work anymore. I’ve been there. This is the checklist I wish I had when I owned my last company’s dbt project.

website/docs/best-practices/clone-incremental-models.md

@@ -7,7 +7,7 @@ hoverSnippet: Learn how to clone incremental models for CI jobs.
 ---
 
 Before you begin, you must be aware of a few conditions:
-- `dbt clone` is only available with dbt version 1.6 and newer. Refer to our [upgrade guide](/docs/dbt-versions/upgrade-core-in-cloud) for help enabling newer versions in dbt Cloud
+- `dbt clone` is only available with dbt version 1.6 and newer. Refer to our [upgrade guide](/docs/dbt-versions/upgrade-dbt-version-in-cloud) for help enabling newer versions in dbt Cloud
 - This strategy only works for warehouse that support zero copy cloning (otherwise `dbt clone` will just create pointer views).
 - Some teams may want to test that their incremental models run in both incremental mode and full-refresh mode.
 

website/docs/best-practices/how-we-mesh/mesh-4-faqs.md

@@ -273,7 +273,7 @@ The [dbt Cloud CLI](/docs/cloud/cloud-cli-installation) allows users to develop
 
 <detailsToggle alt_header="Does dbt Mesh require me to be on a specific version of dbt?">
 
-Yes, your account must be on [at least dbt v1.6](/docs/dbt-versions/upgrade-core-in-cloud) to take advantage of [cross-project dependencies](/docs/collaborate/govern/project-dependencies), one of the most crucial underlying capabilities required to implement a dbt Mesh.
+Yes, your account must be on [at least dbt v1.6](/docs/dbt-versions/upgrade-dbt-version-in-cloud) to take advantage of [cross-project dependencies](/docs/collaborate/govern/project-dependencies), one of the most crucial underlying capabilities required to implement a dbt Mesh.
 
 </detailsToggle>
 

website/docs/docs/build/about-metricflow.md

@@ -15,7 +15,7 @@ MetricFlow handles SQL query construction and defines the specification for dbt
 Before you start, consider the following guidelines:
 
 - Define metrics in YAML and query them using these [new metric specifications](https://github.com/dbt-labs/dbt-core/discussions/7456).
-- You must be on [dbt version](/docs/dbt-versions/upgrade-core-in-cloud) 1.6 or higher to use MetricFlow. 
+- You must be on [dbt version](/docs/dbt-versions/upgrade-dbt-version-in-cloud) 1.6 or higher to use MetricFlow. 
 - Use MetricFlow with Snowflake, BigQuery, Databricks, Postgres (dbt Core only), or Redshift. 
 - Discover insights and query your metrics using the [dbt Semantic Layer](/docs/use-dbt-semantic-layer/dbt-sl) and its diverse range of [available integrations](/docs/use-dbt-semantic-layer/avail-sl-integrations). 
 

website/docs/docs/build/unit-tests.md

@@ -9,9 +9,9 @@ keywords:
 ---
 :::note closed beta
 
-Unit testing is currently in closed beta for dbt Cloud accounts that have updated to a [versionless environment](/docs/dbt-versions/upgrade-core-in-cloud).
+Support for unit testing dbt models is available to dbt Cloud customers who have chosen to [Keep on latest version](/docs/dbt-versions/upgrade-dbt-version-in-cloud#keep-on-latest-version). This is currently in closed beta, starting with select customers and rolling out to wider availability through February and March.
 
-It is available now as an alpha feature for dbt Core v1.8 users.
+For dbt Core, unit tests will be available in v1.8, planned for late April 2024. The v1.8.0-b1 release of `dbt-core` & dbt Labs-maintained adapters is planned for February 28.
 
 :::
 

website/docs/docs/cloud/cloud-cli-installation.md

@@ -25,7 +25,7 @@ dbt commands are run against dbt Cloud's infrastructure and benefit from:
 ## Prerequisites 
 The dbt Cloud CLI is available in all [deployment regions](/docs/cloud/about-cloud/access-regions-ip-addresses) and for both multi-tenant and single-tenant accounts (Azure single-tenant not supported at this time).
 
-- Ensure you are using dbt version 1.5 or higher. Refer to [dbt Cloud versions](/docs/dbt-versions/upgrade-core-in-cloud) to upgrade.
+- Ensure you are using dbt version 1.5 or higher. Refer to [dbt Cloud versions](/docs/dbt-versions/upgrade-dbt-version-in-cloud) to upgrade.
 - Note that SSH tunneling for [Postgres and Redshift](/docs/cloud/connect-data-platform/connect-redshift-postgresql-alloydb) connections doesn't support the dbt Cloud CLI yet.
 
 ## Install dbt Cloud CLI

website/docs/docs/cloud/configure-cloud-cli.md

@@ -15,7 +15,7 @@ import CloudCLIFlag from '/snippets/_cloud-cli-flag.md';
 - You must set up a project in dbt Cloud.
   - **Note** — If you're using the dbt Cloud CLI, you can connect to your [data platform](/docs/cloud/connect-data-platform/about-connections) directly in the dbt Cloud interface and don't need a [`profiles.yml`](/docs/core/connect-data-platform/profiles.yml) file. 
 - You must have your [personal development credentials](/docs/dbt-cloud-environments#set-developer-credentials) set for that project. The dbt Cloud CLI will use these credentials, stored securely in dbt Cloud, to communicate with your data platform.
-- You must be on dbt version 1.5 or higher. Refer to [dbt Cloud versions](/docs/dbt-versions/upgrade-core-in-cloud) to upgrade.
+- You must be on dbt version 1.5 or higher. Refer to [dbt Cloud versions](/docs/dbt-versions/upgrade-dbt-version-in-cloud) to upgrade.
 
 ## Configure the dbt Cloud CLI
 

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

@@ -1,5 +1,5 @@
 ---
-title: "Upgrading to v1.8 (alpha)"
+title: "Upgrading to v1.8 (beta)"
 id: upgrading-to-v1.8
 description: New features and changes in dbt Core v1.8
 displayed_sidebar: "docs"
@@ -9,9 +9,19 @@ displayed_sidebar: "docs"
 
 - Changelog (coming soon)
 - [CLI Installation guide](/docs/core/installation-overview)
-- [Cloud upgrade guide](/docs/dbt-versions/upgrade-core-in-cloud)
+- [Cloud upgrade guide](/docs/dbt-versions/upgrade-dbt-version-in-cloud)
 - Release schedule (coming soon)
 
+:::tip Keep on latest version, always
+
+Starting this year, let dbt Labs handle version upgrades for you. With dbt Cloud, you can get early access to new functionality before it lands in the final release of dbt Core v1.8 and without the need of managing your own version upgrades. For more details, refer to [Upgrade Core version in Cloud](/docs/dbt-versions/upgrade-dbt-version-in-cloud).
+
+The **Keep on latest version** setting is currently available in beta for select dbt Cloud customers, rolling out to wider availability through February and March.
+
+For users of dbt Core, the v1.8.0-b1 release of `dbt-core` & dbt Labs-maintained adapters is planned for February 28.
+
+:::
+
 ## What to know before upgrading
 
 dbt Labs is committed to providing backward compatibility for all versions 1.x, with the exception of any changes explicitly mentioned below. If you encounter an error upon upgrading, please let us know by [opening an issue](https://github.com/dbt-labs/dbt-core/issues/new).

website/docs/docs/dbt-versions/core-upgrade/02-upgrading-to-v1.7.md

@@ -9,7 +9,7 @@ displayed_sidebar: "docs"
 
 - [Changelog](https://github.com/dbt-labs/dbt-core/blob/8aaed0e29f9560bc53d9d3e88325a9597318e375/CHANGELOG.md)
 - [CLI Installation guide](/docs/core/installation-overview)
-- [Cloud upgrade guide](/docs/dbt-versions/upgrade-core-in-cloud)
+- [Cloud upgrade guide](/docs/dbt-versions/upgrade-dbt-version-in-cloud)
 - [Release schedule](https://github.com/dbt-labs/dbt-core/issues/8260)
 
 ## What to know before upgrading

website/docs/docs/dbt-versions/core-upgrade/03-upgrading-to-v1.6.md

@@ -14,7 +14,7 @@ dbt Core v1.6 has three significant areas of focus:
 
 - [Changelog](https://github.com/dbt-labs/dbt-core/blob/1.6.latest/CHANGELOG.md)
 - [dbt Core installation guide](/docs/core/installation-overview)
-- [Cloud upgrade guide](/docs/dbt-versions/upgrade-core-in-cloud)
+- [Cloud upgrade guide](/docs/dbt-versions/upgrade-dbt-version-in-cloud)
 - [Release schedule](https://github.com/dbt-labs/dbt-core/issues/7481)
 
 ## What to know before upgrading

website/docs/docs/dbt-versions/core-upgrade/05-upgrading-to-v1.5.md

@@ -13,7 +13,7 @@ dbt Core v1.5 is a feature release, with two significant additions:
 
 - [Changelog](https://github.com/dbt-labs/dbt-core/blob/1.5.latest/CHANGELOG.md)
 - [CLI Installation guide](/docs/core/installation-overview)
-- [Cloud upgrade guide](/docs/dbt-versions/upgrade-core-in-cloud)
+- [Cloud upgrade guide](/docs/dbt-versions/upgrade-dbt-version-in-cloud)
 - [Release schedule](https://github.com/dbt-labs/dbt-core/issues/6715)
 
 ## What to know before upgrading

website/docs/docs/dbt-versions/core-upgrade/06-upgrading-to-v1.4.md

@@ -9,7 +9,7 @@ displayed_sidebar: "docs"
 
 - [Changelog](https://github.com/dbt-labs/dbt-core/blob/1.4.latest/CHANGELOG.md)
 - [CLI Installation guide](/docs/core/installation-overview)
-- [Cloud upgrade guide](/docs/dbt-versions/upgrade-core-in-cloud)
+- [Cloud upgrade guide](/docs/dbt-versions/upgrade-dbt-version-in-cloud)
 
 **Final release:** January 25, 2023
 

website/docs/docs/dbt-versions/core-upgrade/07-upgrading-to-v1.3.md

@@ -9,7 +9,7 @@ displayed_sidebar: "docs"
 
 - [Changelog](https://github.com/dbt-labs/dbt-core/blob/1.3.latest/CHANGELOG.md)
 - [CLI Installation guide](/docs/core/installation-overview)
-- [Cloud upgrade guide](/docs/dbt-versions/upgrade-core-in-cloud)
+- [Cloud upgrade guide](/docs/dbt-versions/upgrade-dbt-version-in-cloud)
 
 ## What to know before upgrading
 

website/docs/docs/dbt-versions/core-upgrade/08-upgrading-to-v1.2.md

@@ -9,7 +9,7 @@ displayed_sidebar: "docs"
 
 - [Changelog](https://github.com/dbt-labs/dbt-core/blob/1.2.latest/CHANGELOG.md)
 - [CLI Installation guide](/docs/core/installation-overview)
-- [Cloud upgrade guide](/docs/dbt-versions/upgrade-core-in-cloud)
+- [Cloud upgrade guide](/docs/dbt-versions/upgrade-dbt-version-in-cloud)
 
 ## What to know before upgrading
 

website/docs/docs/dbt-versions/core-upgrade/09-upgrading-to-v1.1.md

@@ -9,7 +9,7 @@ displayed_sidebar: "docs"
 
 - [Changelog](https://github.com/dbt-labs/dbt-core/blob/1.1.latest/CHANGELOG.md)
 - [CLI Installation guide](/docs/core/installation-overview)
-- [Cloud upgrade guide](/docs/dbt-versions/upgrade-core-in-cloud)
+- [Cloud upgrade guide](/docs/dbt-versions/upgrade-dbt-version-in-cloud)
 
 ## What to know before upgrading
 

website/docs/docs/dbt-versions/core-upgrade/10-upgrading-to-v1.0.md

@@ -11,7 +11,7 @@ displayed_sidebar: "docs"
 - [Discourse](https://discourse.getdbt.com/t/3180)
 - [Changelog](https://github.com/dbt-labs/dbt-core/blob/1.0.latest/CHANGELOG.md)
 - [CLI Installation guide](/docs/core/installation-overview)
-- [Cloud upgrade guide](/docs/dbt-versions/upgrade-core-in-cloud)
+- [Cloud upgrade guide](/docs/dbt-versions/upgrade-dbt-version-in-cloud)
 
 ## What to know before upgrading
 

website/docs/docs/dbt-versions/core-versions.md

@@ -2,12 +2,20 @@
 title: "About dbt Core versions"
 id: "core"
 description: "Learn about semantic versioning for dbt Core, and how long those versions are supported."
-pagination_next: "docs/dbt-versions/upgrade-core-in-cloud"
+pagination_next: "docs/dbt-versions/upgrade-dbt-version-in-cloud"
 pagination_prev: null
 ---
 
 dbt Core releases follow [semantic versioning](https://semver.org/) guidelines. For more on how we use semantic versions, see [How dbt Core uses semantic versioning](#how-dbt-core-uses-semantic-versioning). 
 
+:::tip Keep on latest version, always
+
+_Did you know that you can always be working on the latest version?_ 
+
+With dbt Cloud, you can get early access to new functionality before it becomes available in dbt Core and without the need of managing your own version upgrades. Refer to the [Keep on latest version](/docs/dbt-versions/upgrade-dbt-version-in-cloud#keep-on-latest-version) setting for details.
+
+:::
+
 dbt Labs provides different support levels for different versions, which may include new features, bug fixes, or security patches:
 
 <Snippet path="core-version-support" />
@@ -17,7 +25,7 @@ dbt Labs provides different support levels for different versions, which may inc
 
 ### Further reading
 
-- To learn how you can use dbt Core versions in dbt Cloud, see [Choosing a dbt Core version](/docs/dbt-versions/upgrade-core-in-cloud).
+- To learn how you can use dbt Core versions in dbt Cloud, see [Choosing a dbt Core version](/docs/dbt-versions/upgrade-dbt-version-in-cloud).
 - To learn about installing dbt Core, see "[How to install dbt Core](/docs/core/installation-overview)."
 - To restrict your project to only work with a range of dbt Core versions, or use the currently running dbt Core version, see [`require-dbt-version`](/reference/project-configs/require-dbt-version) and [`dbt_version`](/reference/dbt-jinja-functions/dbt_version).
 
@@ -29,7 +37,7 @@ All dbt Core versions released prior to 1.0 and their version-specific documenta
 
 All dbt Core minor versions that have reached end-of-life (EOL) will have no new patch releases. This means they will no longer receive any fixes, including for known bugs that have been identified. Fixes for those bugs will instead be made in newer minor versions that are still under active support.
 
-We recommend upgrading to a newer version in [dbt Cloud](/docs/dbt-versions/upgrade-core-in-cloud) or [dbt Core](/docs/core/installation-overview#upgrading-dbt-core) to continue receiving support. 
+We recommend upgrading to a newer version in [dbt Cloud](/docs/dbt-versions/upgrade-dbt-version-in-cloud) or [dbt Core](/docs/core/installation-overview#upgrading-dbt-core) to continue receiving support. 
 
 All dbt Core v1.0 and later are available in dbt Cloud until further notice. In the future, we intend to align dbt Cloud availability with dbt Core ongoing support. You will receive plenty of advance notice before any changes take place.
 
@@ -41,7 +49,7 @@ All dbt Core v1.0 and later are available in dbt Cloud until further notice. In
 Minor versions include new features and capabilities. They will be supported for one year from their initial release date. _dbt Labs is committed to this 12-month support timeframe._ Our mechanism for continuing to support a minor version is by releasing new patches: small, targeted bug fixes. Whenever we refer to a minor version, such as v1.0, we always mean its latest available patch release (v1.0.x).
 
 While a minor version is officially supported:
-- You can use it in dbt Cloud. For more on dbt Cloud versioning, see [Choosing a dbt version](/docs/dbt-versions/upgrade-core-in-cloud).
+- You can use it in dbt Cloud. For more on dbt Cloud versioning, see [Choosing a dbt version](/docs/dbt-versions/upgrade-dbt-version-in-cloud).
 - You can select it from the version dropdown on this website, to see documentation that is accurate for use with that minor version.
 
 ### Ongoing patches

website/docs/docs/dbt-versions/release-notes/72-Feb-2024/keep-on-latest-version.md

@@ -0,0 +1,19 @@
+---
+title: "New: Keep on latest version"
+description: "February 2024: New setting, called Keep on latest version, that allows dbt Labs to handle version upgrades for you."
+sidebar_label: "New: Keep on latest version"
+sidebar_position: 06
+tags: [Feb-2024]
+date: 2024-02-14
+---
+
+# New: Keep on latest version <Lifecycle status='beta' />
+
+_Now available in the dbt version dropdown in dbt Cloud &mdash; 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 &mdash; 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/release-notes/72-Feb-2024/override-dbt-version.md

@@ -7,7 +7,7 @@ tags: [Feb-2024]
 date: 2024-02-02
 ---
 
-You can now [override the dbt version](/docs/dbt-versions/upgrade-core-in-cloud#override-dbt-version) that's configured for the development environment within your project and use a different version — affecting only your user account. This lets you test new dbt features without impacting other people working on the same project. And when you're satisfied with the test results, you can safely upgrade the dbt version for your project(s).  
+You can now [override the dbt version](/docs/dbt-versions/upgrade-dbt-version-in-cloud#override-dbt-version) that's configured for the development environment within your project and use a different version — affecting only your user account. This lets you test new dbt features without impacting other people working on the same project. And when you're satisfied with the test results, you can safely upgrade the dbt version for your project(s).  
 
 Use the **dbt version** dropdown to specify the version to override with. It's available on your project's credentials page in the **User development settings** section. For example:
 

website/docs/docs/dbt-versions/release-notes/74-Dec-2023/legacy-sl.md

@@ -35,5 +35,5 @@ The [re-released dbt Semantic Layer](/docs/use-dbt-semantic-layer/dbt-sl), power
 
 - Feedback and community support — Engage and share feedback with the dbt Labs team and dbt Community slack using channels like [#dbt-cloud-semantic-layer](https://getdbt.slack.com/archives/C046L0VTVR6) and [#dbt-metricflow](https://getdbt.slack.com/archives/C02CCBBBR1D). Or reach out to your dbt Cloud account representative.
 - Resources for upgrading — Refer to some additional info and resources to help you upgrade your dbt version:
-  - [Upgrade version in dbt Cloud](/docs/dbt-versions/upgrade-core-in-cloud)
+  - [Upgrade version in dbt Cloud](/docs/dbt-versions/upgrade-dbt-version-in-cloud)
   - [Version migration guides](/docs/dbt-versions/core-upgrade)

website/docs/docs/dbt-versions/release-notes/76-Oct-2023/sl-ga.md

@@ -8,7 +8,7 @@ tags: [Oct-2023]
 ---
 
 :::important
-If you're using the legacy Semantic Layer, we _highly_ recommend you [upgrade your dbt version](/docs/dbt-versions/upgrade-core-in-cloud) to dbt v1.6 or higher and [migrate](/guides/sl-migration) to the latest Semantic Layer.
+If you're using the legacy Semantic Layer, we _highly_ recommend you [upgrade your dbt version](/docs/dbt-versions/upgrade-dbt-version-in-cloud) to dbt v1.6 or higher and [migrate](/guides/sl-migration) to the latest Semantic Layer.
 :::
 
 dbt Labs is thrilled to announce that the [dbt Semantic Layer](/docs/use-dbt-semantic-layer/dbt-sl) is now generally available. It offers consistent data organization, improved governance, reduced costs, enhanced efficiency, and accessible data for better decision-making and collaboration across organizations.

website/docs/docs/dbt-versions/release-notes/78-Aug-2023/sl-revamp-beta.md

@@ -8,7 +8,7 @@ sidebar_position: 7
 ---
 
 :::important
-If you're using the legacy Semantic Layer, we _highly_ recommend you [upgrade your dbt version](/docs/dbt-versions/upgrade-core-in-cloud) to dbt v1.6 or higher to use the new dbt Semantic Layer. To migrate to the new Semantic Layer, refer to the dedicated [migration guide](/guides/sl-migration) for more info.
+If you're using the legacy Semantic Layer, we _highly_ recommend you [upgrade your dbt version](/docs/dbt-versions/upgrade-dbt-version-in-cloud) to dbt v1.6 or higher to use the new dbt Semantic Layer. To migrate to the new Semantic Layer, refer to the dedicated [migration guide](/guides/sl-migration) for more info.
 :::
 
 dbt Labs are thrilled to announce the re-release of the [dbt Semantic Layer](/docs/use-dbt-semantic-layer/dbt-sl), now available in [public beta](#public-beta). It aims to bring the best of modeling and semantics to downstream applications by introducing: