diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml
index 117bddd5ae..0592f89f7a 100644
--- a/.github/workflows/test.yml
+++ b/.github/workflows/test.yml
@@ -160,7 +160,7 @@ jobs:
       shell: bash
       run: |
         pytest_results_count () { pattern="([0-9]+) $1" && [[ ${{ env.pytest_results }} =~ $pattern ]] && echo "${BASH_REMATCH[1]}" || echo 0; }
-        echo "::set-output name=pytest-results-row-${{ matrix.id }}::| \
+        echo "pytest-results-row-${{ matrix.id }}=| \
         ${{ matrix.python-version }} | \
         ${RUNNER_OS} ${RUNNER_ARCH,,} | \
         ${{ matrix.backend-db }} | \
@@ -172,7 +172,7 @@ jobs:
         $( pytest_results_count deselected ) | \
         $( pytest_results_count warning ) | \
         $( pytest_results_count error ) | \
-        $( pattern='in ([0-9]+)\.[0-9]+s' && [[ ${{ env.pytest_results }} =~ $pattern ]] && echo "${BASH_REMATCH[1]}" )s |"
+        $( pattern='in ([0-9]+)\.[0-9]+s' && [[ ${{ env.pytest_results }} =~ $pattern ]] && echo "${BASH_REMATCH[1]}" )s |" >> $GITHUB_OUTPUT
 
     - name: Upload coverage data
       if: always()
diff --git a/docs/src/_guide/production.md b/docs/src/_guide/production.md
index 555ac61320..5888f26de9 100644
--- a/docs/src/_guide/production.md
+++ b/docs/src/_guide/production.md
@@ -1,5 +1,5 @@
 ---
-title: Run in Production
+title: Deployment in Production
 description: Learn how to deploy your ELT pipelines in production.
 layout: doc
 weight: 9
@@ -26,10 +26,13 @@ you can skip steps 1 through 3 and refer primarily to the "Containerized Meltano
 We also provide a [Helm Chart](https://github.com/meltano/helm-meltano) for deploying a containerized instance of the Meltano UI to [Kubernetes](https://kubernetes.io).
 More on that [in the Kubernetes section](#kubernetes).
 
-## SaaS Hosting Options
+## Managed Hosting Options
 
-Meltano currently does not offer project hosting as a paid offering.
-We recommend users look at [Singerly](https://www.singerly.co/), [Astronomer.io](https://www.astronomer.io/), or [Google Cloud Composer](https://cloud.google.com/composer/) as options for hosting and running your Meltano project.
+Would you rather not be responsible for deploying your Meltano project and managing it in production?
+
+[Meltano Cloud](https://meltano.com/cloud) launches in Alpha in late 2022 and opens to the public in early 2023. [Sign up](https://meltano.com/cloud) to receive more information and reduce your self-management burden.
+
+In the mean time, consider running your Meltano pipelines using a managed Airflow service like [Astronomer](https://www.astronomer.io/), [Google Cloud Composer](https://cloud.google.com/composer/), or [Amazon MWAA](https://docs.aws.amazon.com/mwaa).
 
 ## Your Meltano project