Updating language to Versionless (#5889)

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

Updating language in the docs. Refer to internal conversations for more
information.

## Checklist
<!--
Uncomment when publishing docs for a prerelease version of dbt:
- [ ] Add versioning components, as described in [Versioning
Docs](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#versioning-entire-pages)
- [ ] Add a note to the prerelease version [Migration
Guide](https://github.com/dbt-labs/docs.getdbt.com/tree/current/website/docs/docs/dbt-versions/core-upgrade)
-->
- [ ] 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.
- [ ] 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).
- [ ] Add a checklist item for anything that needs to happen before this
PR is merged, such as "needs technical review" or "change base branch."

Adding or removing pages (delete if not applicable):
- [ ] Add/remove page in `website/sidebars.js`
- [ ] Provide a unique filename for new pages
- [ ] Add an entry for deleted pages in `website/vercel.json`
- [ ] Run link testing locally with `npm run build` to update the links
that point to deleted pages

---------

Co-authored-by: Ly Nguyen <[email protected]>

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

@@ -18,7 +18,7 @@ It's been a few years since dbt-core turned 1.0! Since then, we've committed to
 
 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).
+- Introducing **Versionless** 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.
 

website/blog/2024-04-22-extended-attributes.md

@@ -80,7 +80,7 @@ All you need to do is configure an environment as staging and enable the **Defer
 
 ## Upgrading on a curve
 
-Lastly, let’s consider a more specialized use case. Imagine we have a "tiger team" (consisting of a lone analytics engineer named Dave) tasked with upgrading from dbt version 1.6 to the new **Keep on latest version** setting, to take advantage of added stability and feature access. We want to keep the rest of the data team being productive in dbt 1.6 for the time being, while enabling Dave to upgrade and do his work in the new versionless mode.
+Lastly, let’s consider a more specialized use case. Imagine we have a "tiger team" (consisting of a lone analytics engineer named Dave) tasked with upgrading from dbt version 1.6 to the new **Versionless** setting, to take advantage of added stability and feature access. We want to keep the rest of the data team being productive in dbt 1.6 for the time being, while enabling Dave to upgrade and do his work in the new versionless mode.
 
 ### Development environment
 

website/blog/2024-05-22-latest-dbt-stability-improvement-innovation.md

@@ -1,5 +1,5 @@
 ---
-title: "How we're making sure you can confidently \"Keep on latest version\" in dbt Cloud"
+title: "How we're making sure you can confidently go \"Versionless\" in dbt Cloud"
 description: "Over the past 6 months, we've laid a stable foundation for continuously improving dbt."
 slug: latest-dbt-stability
 
@@ -16,19 +16,19 @@ As long as dbt Cloud has existed, it has required users to select a version of d
 
 However, this came at a cost. While bumping a project's dbt version *appeared* as simple as selecting from a dropdown, there was real effort required to test the compatibility of the new version against existing projects, package dependencies, and adapters. On the other hand, putting this off meant foregoing access to new features and bug fixes in dbt.
 
-But no more. Today, we're ready to announce the general availability of a new option in dbt Cloud: [**"Keep on latest version."**](https://docs.getdbt.com/docs/dbt-versions/upgrade-dbt-version-in-cloud#keep-on-latest-version)
+But no more. Today, we're ready to announce the general availability of a new option in dbt Cloud: [**"Versionless."**](https://docs.getdbt.com/docs/dbt-versions/upgrade-dbt-version-in-cloud#versionless)
 
 <!--truncate-->
 
 For customers, this means less maintenance overhead, faster access to bug fixes and features, and more time to focus on what matters most: building trusted data products. This will be our stable foundation for improvement and innovation in dbt Cloud. 
 
-But we wanted to go a step beyond just making this option available to you. In this blog post, we aim to shed a little light on the extensive work we've done to ensure that using "Keep on latest version" is a stable, reliable experience for the thousands of customers who rely daily on dbt Cloud.
+But we wanted to go a step beyond just making this option available to you. In this blog post, we aim to shed a little light on the extensive work we've done to ensure that using "Versionless" is a stable, reliable experience for the thousands of customers who rely daily on dbt Cloud.
 
 ## How we safely deploy dbt upgrades to Cloud
 
 We've put in place a rigorous, best-in-class suite of tests and control mechanisms to ensure that all changes to dbt under the hood are fully vetted before they're deployed to customers of dbt Cloud.
 
-This pipeline has in fact been in place since January! It's how we've already been shipping continuous changes to the hundreds of customers who've selected "Keep on latest version" while it's been in Beta and Preview. In that time, this process has enabled us to prevent multiple regressions before they were rolled out to any customers.
+This pipeline has in fact been in place since January! It's how we've already been shipping continuous changes to the hundreds of customers who've selected "Versionless" while it's been in Beta and Preview. In that time, this process has enabled us to prevent multiple regressions before they were rolled out to any customers.
 
 We're very confident in the robustness of this process**. We also know that we'll need to continue building trust with time.** We're sharing details about this work in the spirit of transparency and to build that trust.
 
@@ -82,9 +82,9 @@ All incidents are retrospected to make sure we not only identify and fix the roo
 
 :::
 
-The outcome of this process is that, when you select "Keep on latest version" in dbt Cloud, the time between an improvement being made to dbt Core and you *safely* getting access to it in your projects is a matter of days — rather than months of waiting for the next dbt Core release, on top of any additional time it may have taken to actually carry out the upgrade.
+The outcome of this process is that, when you select "Versionless" in dbt Cloud, the time between an improvement being made to dbt Core and you *safely* getting access to it in your projects is a matter of days — rather than months of waiting for the next dbt Core release, on top of any additional time it may have taken to actually carry out the upgrade.
 
-We’re pleased to say that since the beta launch of “Keep on latest version” in dbt Cloud in March, **we have not had any functional regressions reach customers**, while we’ve also been shipping multiple improvements to dbt functionality every day. This is a foundation that we aim to build on for the foreseeable future.
+We’re pleased to say that since the beta launch of “Versionless” in dbt Cloud in March, **we have not had any functional regressions reach customers**, while we’ve also been shipping multiple improvements to dbt functionality every day. This is a foundation that we aim to build on for the foreseeable future.
 
 ## Stability as a feature
 
@@ -98,7 +98,7 @@ The adapter interface — i.e. how dbt Core actually connects to a third-party d
 
 To solve that, we've released a new set of interfaces that are entirely independent of the `dbt-core` library: [`dbt-adapters==1.0.0`](https://github.com/dbt-labs/dbt-adapters). From now on, any changes to `dbt-adapters` will be backward and forward-compatible. This also decouples adapter maintenance from the regular release cadence of dbt Core — meaning maintainers get full control over when they ship implementations of new adapter-powered features.
 
-Note that adapters running in dbt Cloud **must** be [migrated to the new decoupled architecture](https://github.com/dbt-labs/dbt-adapters/discussions/87) as a baseline in order to support the new "Keep on latest version".
+Note that adapters running in dbt Cloud **must** be [migrated to the new decoupled architecture](https://github.com/dbt-labs/dbt-adapters/discussions/87) as a baseline in order to support the new "Versionless" option.
 
 ### Managing behavior changes: stability as a feature
 
@@ -118,7 +118,7 @@ We’ve now [formalized our development best practices](https://github.com/dbt-l
 
 In conclusion, we’re putting a lot of new muscle behind our commitments to dbt Cloud customers, the dbt Community, and the broader ecosystem:
 
-- **Continuous updates**: "Keep on latest version" in dbt Cloud simplifies the update process, ensuring you always have the latest features and bug fixes without the maintenance overhead.
+- **Continuous updates**: "Versionless" dbt Cloud simplifies the update process, ensuring you always have the latest features and bug fixes without the maintenance overhead.
 - **A rigorous new testing and deployment process**: Our new testing pipeline ensures that every update is carefully vetted against documented interfaces, Cloud-supported adapters, and popular packages before it reaches you. This process minimizes the risk of regressions — and has now been successful at entirely preventing them for hundreds of customers over multiple months.
 - **A commitment to stability**: We’ve reworked our approaches to adapter interfaces, behaviour change management, and metadata artifacts to give you more stability and control.
 

website/blog/2024-06-12-putting-your-dag-on-the-internet.md

@@ -114,6 +114,6 @@ Traditionally dbt is the T in ELT (dbt overview [here](https://docs.getdbt.com/t
 
 In order to get this functionality shipped quickly, EQT opened a pull request, Snowflake helped with some problems we had with CI and a member of dbt Labs helped write the tests and merge the code in!  
 
-dbt now features this functionality in dbt 1.8+ or on “Keep on latest version” option of dbt Cloud (dbt overview [here](/docs/dbt-versions/upgrade-dbt-version-in-cloud#keep-on-latest-version)). 
+dbt now features this functionality in dbt 1.8+ or the “Versionless” option of dbt Cloud (dbt overview [here](/docs/dbt-versions/upgrade-dbt-version-in-cloud#versionless)). 
 
 dbt Labs staff and community members would love to chat more about it in the [#db-snowflake](https://getdbt.slack.com/archives/CJN7XRF1B) slack channel.

website/docs/docs/build/metrics-overview.md

@@ -232,7 +232,7 @@ filter: |
   {{ TimeDimension('time_dimension', 'granularity') }}
 
 filter: |  
-  {{ Metric('metric_name', group_by=['entity_name']) }}  # Available in v1.8 or go versionless with [Keep on latest version](/docs/dbt-versions/upgrade-dbt-version-in-cloud#keep-on-latest-version)
+  {{ Metric('metric_name', group_by=['entity_name']) }}  # Available in v1.8 or with [versionless (/docs/dbt-versions/upgrade-dbt-version-in-cloud#versionless) dbt Cloud]
 ```
 
 ### Further configuration

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

@@ -10,13 +10,13 @@ keywords:
 
 :::note 
 
-This functionality is only supported in dbt Core v1.8+ or versionless dbt Cloud accounts that have opted to ["Keep on latest version"](/docs/dbt-versions/upgrade-dbt-version-in-cloud#keep-on-latest-version).
+This functionality is only supported in dbt Core v1.8+ or accounts that have opted for a ["Versionless"](/docs/dbt-versions/upgrade-dbt-version-in-cloud#versionless) dbt Cloud experience.
 
 :::
 
 Historically, dbt's test coverage was confined to [“data” tests](/docs/build/data-tests), assessing the quality of input data or resulting datasets' structure. However, these tests could only be executed _after_ building a model. 
 
-With dbt Core v1.8 and dbt Cloud environments that have gone versionless by opting to "Keep on latest version," we have introduced an additional type of test to dbt - unit tests. In software programming, unit tests validate small portions of your functional code, and they work much the same way here. Unit tests allow you to validate your SQL modeling logic on a small set of static inputs _before_ you materialize your full model in production. Unit tests enable test-driven development, benefiting developer efficiency and code reliability. 
+With dbt Core v1.8 and dbt Cloud environments that have gone versionless by selecting the **Versionless** option, we have introduced an additional type of test to dbt - unit tests. In software programming, unit tests validate small portions of your functional code, and they work much the same way here. Unit tests allow you to validate your SQL modeling logic on a small set of static inputs _before_ you materialize your full model in production. Unit tests enable test-driven development, benefiting developer efficiency and code reliability. 
 
 ## Before you begin
 

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

@@ -21,7 +21,7 @@ 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.
 
-- You are on dbt version 1.5 or higher. Alternatively, set it to [Keep on latest version](/docs/dbt-versions/upgrade-dbt-version-in-cloud#keep-on-latest-version) to get a versionless experience and automatically stay up to date.
+- You are on dbt version 1.5 or higher. Alternatively, set it to [**Versionless**](/docs/dbt-versions/upgrade-dbt-version-in-cloud#versionless) to automatically stay up to date.
 
 ## Install dbt Cloud CLI
 

website/docs/docs/cloud/connect-data-platform/connect-amazon-athena.md

@@ -13,7 +13,7 @@ This is a beta feature with limited availability. A public preview will follow s
 
 :::
 
-Your environment(s) must be on ["Keep on latest version"](/docs/dbt-versions/versionless-cloud) to use the Amazon Athena connection.
+Your environment(s) must be on ["Versionless"](/docs/dbt-versions/versionless-cloud) to use the Amazon Athena connection.
 
 Connect dbt Cloud to Amazon's Athena interactive query service to build your dbt project. The following are the required and optional fields for configuring the Athena connection:
 

website/docs/docs/cloud/enable-dbt-assist.md

@@ -12,7 +12,7 @@ This page explains how to enable dbt Assist in dbt Cloud to leverage AI to speed
 
 - Available in the dbt Cloud IDE only.
 - Must have an active [dbt Cloud Enterprise account](https://www.getdbt.com/pricing).
-- Development environment be versionless: [Keep on Latest Version](/docs/dbt-versions/upgrade-dbt-version-in-cloud#keep-on-latest-version).
+- Development environment be ["Versionless"](/docs/dbt-versions/upgrade-dbt-version-in-cloud#versionless).
 - Current dbt Assist deployments use a central OpenAI API key managed by dbt Labs. In the future, you may provide your own key for Azure OpenAI or OpenAI.
 - Accept and sign legal agreements. Reach out to your account team to begin this process.
 

website/docs/docs/collaborate/govern/project-dependencies.md

@@ -18,7 +18,7 @@ This year, dbt Labs is introducing an expanded notion of `dependencies` across m
 
 ## Prerequisites
 - Available in [dbt Cloud Enterprise](https://www.getdbt.com/pricing). If you have an Enterprise account, you can unlock these features by designating a [public model](/docs/collaborate/govern/model-access) and adding a [cross-project ref](#how-to-write-cross-project-ref). <Lifecycle status="enterprise"/>
-- Use a supported version of dbt (v1.6, v1.7, or go versionless with "[Keep on latest version](/docs/dbt-versions/upgrade-dbt-version-in-cloud#keep-on-latest-version)") for both the upstream ("producer") project and the downstream ("consumer") project.
+- Use a supported version of dbt (v1.6, v1.7, or go versionless with "[Versionless](/docs/dbt-versions/upgrade-dbt-version-in-cloud#versionless)") for both the upstream ("producer") project and the downstream ("consumer") project.
 - Define models in an upstream ("producer") project that are configured with [`access: public`](/reference/resource-configs/access). You need at least one successful job run after defining their `access`.
 - Define a deployment environment in the upstream ("producer") project [that is set to be your Production environment](/docs/deploy/deploy-environments#set-as-production-environment), and ensure it has at least one successful job run in that environment.
 - Each project `name` must be unique in your dbt Cloud account. For example, if you have a dbt project (codebase) for the `jaffle_marketing` team, you should not create separate projects for `Jaffle Marketing - Dev` and `Jaffle Marketing - Prod`. That isolation should instead be handled at the environment level.

website/docs/docs/dbt-versions/core-upgrade/06-upgrading-to-v1.9.md

@@ -9,7 +9,7 @@ displayed_sidebar: "docs"
 
 - Changelog (coming soon)
 - [dbt Core CLI Installation guide](/docs/core/installation-overview)
-- [Cloud upgrade guide](/docs/dbt-versions/upgrade-dbt-version-in-cloud) — dbt Cloud is now versionless. dbt v1.9 will not appear in the version dropdown. Select "Keep on latest version" to get all the latest features and functionality in your dbt Cloud account.
+- [Cloud upgrade guide](/docs/dbt-versions/upgrade-dbt-version-in-cloud) — dbt Cloud is now versionless. dbt v1.9 will not appear in the version dropdown. Select **Versionless** to get all the latest features and functionality in your dbt Cloud account.
 
 ## What to know before upgrading
 

website/docs/docs/dbt-versions/core-upgrade/07-upgrading-to-v1.8.md

@@ -15,11 +15,11 @@ displayed_sidebar: "docs"
 
 dbt Labs is committed to providing backward compatibility for all versions 1.x, except for any changes explicitly mentioned on this page. If you encounter an error upon upgrading, please let us know by [opening an issue](https://github.com/dbt-labs/dbt-core/issues/new).
 
-## Keep on latest version 
+## Versionless 
 
 dbt Cloud is going "versionless." This means you'll automatically get early access to new features and functionality before they're available in final releases of dbt Core. 
 
-Select ["Keep on latest version"](/docs/dbt-versions/upgrade-dbt-version-in-cloud#keep-on-latest-version) in your development, staging, and production [environments](/docs/deploy/deploy-environments) to access to everything in dbt Core v1.8 and more.
+Select [**Versionless**](/docs/dbt-versions/upgrade-dbt-version-in-cloud#versionless) in your development, staging, and production [environments](/docs/deploy/deploy-environments) to access to everything in dbt Core v1.8+ and more.
 
 To upgrade an environment in the [dbt Cloud Admin API](/docs/dbt-cloud-apis/admin-cloud-api) or [Terraform](https://registry.terraform.io/providers/dbt-labs/dbtcloud/latest), set `dbt_version` to the string `versionless`.
 

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

@@ -12,7 +12,7 @@ dbt Core releases follow [semantic versioning](https://semver.org/) guidelines.
 
 _Did you know that you can always be working with the latest features and functionality?_ 
 
-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.
+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 [Versionless](/docs/dbt-versions/upgrade-dbt-version-in-cloud#versionless) setting for details.
 
 :::