diff --git a/website/docs/guides/redshift-qs.md b/website/docs/guides/redshift-qs.md
index 67b0da1b2d8..8b950472506 100644
--- a/website/docs/guides/redshift-qs.md
+++ b/website/docs/guides/redshift-qs.md
@@ -43,6 +43,9 @@ Check out [dbt Fundamentals](https://learn.getdbt.com/courses/dbt-fundamentals)
 1. Sign in to your [AWS account](https://signin.aws.amazon.com/console) as a root user or an IAM user depending on your level of access.
 2. Use a CloudFormation template to quickly set up a Redshift cluster. A CloudFormation template is a configuration file that automatically spins up the necessary resources in AWS. [Start a CloudFormation stack](https://console.aws.amazon.com/cloudformation/home?region=us-east-1#/stacks/new?stackName=dbt-workshop&templateURL=https://tpch-sample-data.s3.amazonaws.com/create-dbtworkshop-infr) and you can refer to the [create-dbtworkshop-infr JSON file](https://github.com/aws-samples/aws-modernization-with-dbtlabs/blob/main/resources/cloudformation/create-dbtworkshop-infr) for more template details.
 
+:::tip
+To avoid connectivity issues with dbt Cloud, make sure to allow inbound traffic on port 5439 from [dbt Cloud's IP addresses](/docs/cloud/about-cloud/access-regions-ip-addresses) in your Redshift security groups and Network Access Control Lists (NACLs) settings.
+:::
 
 3. Click **Next** for each page until you reach the **Select acknowledgement** checkbox. Select **I acknowledge that AWS CloudFormation might create IAM resources with custom names** and click **Create Stack**.  You should land on the stack page with a CREATE_IN_PROGRESS status.
 
@@ -165,6 +168,7 @@ Now we are going to load our sample data into the S3 bucket that our Cloudformat
     select * from jaffle_shop.orders;
     select * from stripe.payment;
     ```
+
 ## Connect dbt Cloud to Redshift 
 1. Create a new project in [dbt Cloud](/docs/cloud/about-cloud/access-regions-ip-addresses). From **Account settings** (using the gear menu in the top right corner), click **+ New Project**.
 2. Enter a project name and click **Continue**.
@@ -173,17 +177,19 @@ Now we are going to load our sample data into the S3 bucket that our Cloudformat
     - **Hostname** — Your entire hostname.
     - **Port** — `5439`
     - **Database** — `dbtworkshop`.
-    <div style={{maxWidth: '400px'}}>
-    <Lightbox src="/img/redshift_tutorial/images/dbt_cloud_redshift_account_settings.png" title="dbt Cloud - Redshift Cluster Settings" />
-    </div>
+
+    <Lightbox src="/img/redshift_tutorial/images/dbt_cloud_redshift_account_settings.png" width="90%" title="dbt Cloud - Redshift Cluster Settings" />
+
+    :::tip
+    To avoid connectivity issues with dbt Cloud, make sure to allow inbound traffic on port 5439 from [dbt Cloud's IP addresses](/docs/cloud/about-cloud/access-regions-ip-addresses) in your Redshift security groups and Network Access Control Lists (NACLs) settings.
+    :::
 
 5. Set your development credentials. These credentials will be used by dbt Cloud to connect to Redshift. Those credentials (as provided in your CloudFormation output) will be:
     - **Username** &mdash; `dbtadmin`
     - **Password** &mdash; This is the autogenerated password that you used earlier in the guide
     - **Schema** &mdash; dbt Cloud automatically generates a schema name for you. By convention, this is `dbt_<first-initial><last-name>`. This is the schema connected directly to your development environment, and it's where your models will be built when running dbt within the Cloud IDE.
-    <div style={{maxWidth: '400px'}}>
+
     <Lightbox src="/img/redshift_tutorial/images/dbt_cloud_redshift_development_credentials.png" title="dbt Cloud - Redshift Development Credentials" />
-    </div>
 
 6. Click **Test Connection**. This verifies that dbt Cloud can access your Redshift cluster.
 7. Click **Next** if the test succeeded. If it failed, you might need to check your Redshift settings and credentials.