diff --git a/docs/tutorials/getting-started-mysql.md b/docs/tutorials/getting-started-mysql.md
index 7cf52972fc..882cd75fa7 100644
--- a/docs/tutorials/getting-started-mysql.md
+++ b/docs/tutorials/getting-started-mysql.md
@@ -8,6 +8,8 @@ We'll generate Go code here, but other
 naturally need the Go toolchain if you want to build and run a program with the
 code sqlc generates, but sqlc itself has no dependencies.
 
+At the end, you'll push your SQL queries to [sqlc Cloud](https://dashboard.sqlc.dev/) for further insights and analysis.
+
 ## Setting up
 
 Create a new directory called `sqlc-tutorial` and open it up.
@@ -181,3 +183,43 @@ database must have the `authors` table as defined in `schema.sql`.
 
 You should now have a working program using sqlc's generated Go source code,
 and hopefully can see how you'd use sqlc in your own real-world applications.
+
+## Query analysis and managed databases
+
+[sqlc Cloud](https://dashboard.sqlc.dev) provides additional insights into your
+queries, catching subtle bugs and performance issues. To get started, create a
+[dashboard account](https://dashboard.sqlc.dev). Once you've signed in, create a
+project and generate an auth token. Add your project's ID to the `cloud` block
+to your sqlc.yaml.
+
+```yaml
+version: "2"
+cloud:
+  # Replace <PROJECT_ID> with your project ID from the sqlc Cloud dashboard
+  project: "<PROJECT_ID>"
+sql:
+  - engine: "mysql"
+    queries: "query.sql"
+    schema: "schema.sql"
+    gen:
+      go:
+        package: "tutorial"
+        out: "tutorial"
+```
+
+Replace `<PROJECT_ID>` with your project ID from the sqlc Cloud dashboard. It
+will look something like `01HA8SZH31HKYE9RR3N3N3TSJM`.
+
+And finally, set the `SQLC_AUTH_TOKEN` environment variable:
+
+```shell
+export SQLC_AUTH_TOKEN="<your sqlc auth token>"
+```
+
+```shell
+$ sqlc push --tag tutorial
+```
+
+In the sidebar, go to the "Insights" section to run checks against your queries.
+If you need access to a pre-configured MySQL database, check out [managed
+databases](../howtwo/managed-databases.md).
diff --git a/docs/tutorials/getting-started-postgresql.md b/docs/tutorials/getting-started-postgresql.md
index 2f67298969..db2a46d472 100644
--- a/docs/tutorials/getting-started-postgresql.md
+++ b/docs/tutorials/getting-started-postgresql.md
@@ -8,12 +8,8 @@ We'll generate Go code here, but other
 naturally need the Go toolchain if you want to build and run a program with the
 code sqlc generates, but sqlc itself has no dependencies.
 
-We'll also rely on sqlc's [managed databases](../howto/managed-databases.md),
-which require a sqlc Cloud project and auth token. You can get those from
-the [sqlc Cloud dashboard](https://dashboard.sqlc.dev/). Managed databases are
-an optional feature that improves sqlc's query analysis in many cases, but you
-can turn it off simply by removing the `cloud` and `database` sections of your
-configuration.
+At the end, you'll push your SQL queries to [sqlc
+Cloud](https://dashboard.sqlc.dev/) for further insights and analysis.
 
 ## Setting up
 
@@ -31,15 +27,10 @@ following contents:
 
 ```yaml
 version: "2"
-cloud:
-  # Replace <PROJECT_ID> with your project ID from the sqlc Cloud dashboard
-  project: "<PROJECT_ID>"
 sql:
   - engine: "postgresql"
     queries: "query.sql"
     schema: "schema.sql"
-    database:
-      managed: true
     gen:
       go:
         package: "tutorial"
@@ -47,15 +38,6 @@ sql:
         sql_package: "pgx/v5"
 ```
 
-Replace `<PROJECT_ID>` with your project ID from the sqlc Cloud dashboard. It
-will look something like `01HA8SZH31HKYE9RR3N3N3TSJM`.
-
-And finally, set the `SQLC_AUTH_TOKEN` environment variable:
-
-```shell
-export SQLC_AUTH_TOKEN="<your sqlc auth token>"
-```
-
 ## Schema and queries
 
 sqlc needs to know your database schema and queries in order to generate code.
@@ -220,3 +202,44 @@ database must have the `authors` table as defined in `schema.sql`.
 
 You should now have a working program using sqlc's generated Go source code,
 and hopefully can see how you'd use sqlc in your own real-world applications.
+
+## Query analysis and managed databases
+
+[sqlc Cloud](https://dashboard.sqlc.dev) provides additional insights into your
+queries, catching subtle bugs and performance issues. To get started, create a
+[dashboard account](https://dashboard.sqlc.dev). Once you've signed in, create a
+project and generate an auth token. Add your project's ID to the `cloud` block
+to your sqlc.yaml.
+
+```yaml
+version: "2"
+cloud:
+  # Replace <PROJECT_ID> with your project ID from the sqlc Cloud dashboard
+  project: "<PROJECT_ID>"
+sql:
+  - engine: "postgresql"
+    queries: "query.sql"
+    schema: "schema.sql"
+    gen:
+      go:
+        package: "tutorial"
+        out: "tutorial"
+        sql_package: "pgx/v5"
+```
+
+Replace `<PROJECT_ID>` with your project ID from the sqlc Cloud dashboard. It
+will look something like `01HA8SZH31HKYE9RR3N3N3TSJM`.
+
+And finally, set the `SQLC_AUTH_TOKEN` environment variable:
+
+```shell
+export SQLC_AUTH_TOKEN="<your sqlc auth token>"
+```
+
+```shell
+$ sqlc push --tag tutorial
+```
+
+In the sidebar, go to the "Insights" section to run checks against your queries.
+If you need access to a pre-configured PostgreSQL database, check out [managed
+databases](../howtwo/managed-databases.md).