Merge branch 'current' into patch-1

website/docs/docs/deploy/advanced-ci.md

@@ -7,7 +7,13 @@ description: "Advanced CI enables developers to compare changes by demonstrating
 
 # Advanced CI <Lifecycle status="enterprise"/>
 
-[Continuous integration workflows](/docs/deploy/continuous-integration) help increase the governance and improve the quality of the data. Additionally for these CI jobs, you can use Advanced CI features, such as [compare changes](#compare-changes), that provide details about the changes between what's currently in your production environment and the pull request's latest commit, giving you observability into how data changes are affected by your code changes. By analyzing the data changes that code changes produce, you can ensure you're always shipping trustworthy data products as you're developing.
+[Continuous integration workflows](/docs/deploy/continuous-integration) help increase the governance and improve the quality of the data. Additionally for these CI jobs, you can use Advanced CI features, such as [compare changes](#compare-changes), that provide details about the changes between what's currently in your production environment and the pull request's latest commit, giving you observability into how data changes are affected by your code changes. By analyzing the data changes that code changes produce, you can ensure you're always shipping trustworthy data products as you're developing. 
+
+:::info How to enable this feature
+
+You can opt into Advanced CI in dbt Cloud. Please refer to [Account access to Advance CI features](/docs/cloud/account-settings#account-access-to-advanced-ci-features) to learn how enable it in your dbt Cloud account.
+
+:::
 
 :::tip More features
 dbt Labs plans to provide additional Advanced CI features in the near future. More info coming soon.

website/docs/docs/deploy/deployment-overview.md

@@ -79,6 +79,12 @@ Learn how to use dbt Cloud's features to help your team ship timely and quality
     link="/docs/deploy/job-notifications"
     icon="dbt-bit"/>
 
+<Card
+    title="Model notifications"
+    body="Receive email notifications in real time about issues encountered by your models and tests while a job is running. "
+    link="/docs/deploy/model-notifications"
+    icon="dbt-bit"/>
+
 <Card
     title="Webhooks"
     body="Create outbound webhooks to send events about your dbt jobs' statuses to other systems in your organization."

website/docs/docs/deploy/model-notifications.md

@@ -0,0 +1,87 @@
+---
+title: "Model notifications"
+description: "While a job is running, receive email notifications in real time about any issues with your models and tests. "
+---
+
+# Model notifications <Lifecycle status="beta" />
+
+Set up dbt to notify the appropriate model owners through email about issues as soon as they occur, while the job is still running. Model owners can specify which statuses to receive notifications about: 
+
+- `Success` and `Fails` for models
+- `Warning`, `Success`, and `Fails` for tests
+
+With model-level notifications, model owners can be the first ones to know about issues before anyone else (like the stakeholders). 
+
+:::info Beta feature
+
+This feature is currently available in [beta](/docs/dbt-versions/product-lifecycles#dbt-cloud) to a limited group of users and is gradually being rolled out. If you're in the beta, please contact the Support team at [email protected] for assistance or questions.
+
+:::
+
+To be timely and keep the number of notifications to a reasonable amount when multiple models or tests trigger them, dbt observes the following guidelines when notifying the owners:  
+
+- Send a notification to each unique owner/email during a job run about any models (with status of failure/success) or tests (with status of warning/failure/success). Each owner receives only one notification, the initial one.
+- Don't send any notifications about subsequent models or tests while a dbt job is still running.
+- At the end of a job run, each owner receives a notification, for each of the statuses they specified to be notified about, with a list of models and tests that have that status. 
+
+Create configuration YAML files in your project for dbt to send notifications about the status of your models and tests.
+
+## Prerequisites
+- Your dbt Cloud administrator has [enabled the appropriate account setting](#enable-access-to-model-notifications) for you.
+- Your environment(s) must be on ["Versionless"](/docs/dbt-versions/versionless-cloud). 
+
+
+## Configure groups
+
+Add your group configuration in either the `dbt_project.yml` or `groups.yml` file. For example: 
+
+```yml
+version: 2
+
+groups:
+  - name: finance
+    description: "Models related to the finance department"
+    owner:
+      # 'name' or 'email' is required
+      name: "Finance Team"
+      email: [email protected]
+      slack: finance-data
+
+  - name: marketing
+    description: "Models related to the marketing department"
+    owner:
+      name: "Marketing Team"
+      email: [email protected]
+      slack: marketing-data
+```
+
+## Set up models
+
+Set up your model configuration in either the `dbt_project.yml` or `groups.yml` file; doing this automatically sets up notifications for tests, too. For example: 
+
+```yml
+version: 2
+
+models:
+  - name: sales
+    description: "Sales data model"
+    config:
+      group: finance
+
+  - name: campaigns
+    description: "Campaigns data model"
+    config:
+      group: marketing
+
+```
+
+## Enable access to model notifications 
+
+Provide dbt Cloud account members the ability to configure and receive alerts about issues with models or tests that are encountered during job runs.  
+
+To use model-level notifications, your dbt Cloud account must have access to the feature. Ask your dbt Cloud administrator to enable this feature for account members by following these steps:
+
+1. Navigate to **Notification settings** from your profile name in the sidebar (lower left-hand side). 
+1. From **Email notications**, enable the setting **Enable group/owner notifications on models** under the **Model notifications** section. Then, specify which statuses to receive notifications about (Success, Warning, and/or Fails). 
+
+  <Lightbox src="/img/docs/dbt-cloud/example-enable-model-notifications.png" title="Example of the setting Enable group/owner notifications on models" /> 

website/docs/docs/deploy/monitor-jobs.md

@@ -13,6 +13,7 @@ This portion of our documentation will go over dbt Cloud's various capabilities
 - [Run visibility](/docs/deploy/run-visibility) — View your run history to help identify where improvements can be made to scheduled jobs.
 - [Retry jobs](/docs/deploy/retry-jobs) — Rerun your errored jobs from start or the failure point.
 - [Job notifications](/docs/deploy/job-notifications) — Receive email or Slack notifications when a job run succeeds, encounters warnings, fails, or is canceled. 
+- [Model notifications](/docs/deploy/model-notifications)<Lifecycle status="beta"/> &mdash; Receive email notifications about any issues encountered by your models and tests as soon as they occur while running a job. 
 - [Webhooks](/docs/deploy/webhooks) &mdash; Use webhooks to send events about your dbt jobs' statuses to other systems.
 - [Leverage artifacts](/docs/deploy/artifacts) &mdash; dbt Cloud generates and saves artifacts for your project, which it uses to power features like creating docs for your project and reporting freshness of your sources.
 - [Source freshness](/docs/deploy/source-freshness) &mdash; Monitor data governance by enabling snapshots to capture the freshness of your data sources. 

website/sidebars.js

@@ -499,6 +499,7 @@ const sidebarSettings = {
             "docs/deploy/run-visibility",
             "docs/deploy/retry-jobs",
             "docs/deploy/job-notifications",
+            "docs/deploy/model-notifications",
             "docs/deploy/webhooks",
             "docs/deploy/artifacts",
             "docs/deploy/source-freshness",

website/snippets/_v2-sl-prerequisites.md

@@ -1,4 +1,4 @@
-- Have a dbt Cloud Team or Enterprise account. Single-tenant accounts should contact their account representative setup.
+- Have a dbt Cloud Team or Enterprise account. Single-tenant accounts should contact their account representative for setup.
 - Ensure your production and development environments use [dbt version 1.6 or higher](/docs/dbt-versions/upgrade-dbt-version-in-cloud).
 - Use Snowflake, BigQuery, Databricks, or Redshift.
 -  Create a successful run in the environment where you configure the Semantic Layer.