diff --git a/deployments/aws_docker.yml b/deployments/aws_docker.yml
new file mode 100644
index 0000000..dab851f
--- /dev/null
+++ b/deployments/aws_docker.yml
@@ -0,0 +1,92 @@
+# This workflow will build and push a new container image to Amazon ECR,
+# and then will deploy a new task definition to Amazon ECS, when there is a push to the $default-branch branch.
+#
+# To use this workflow, you will need to complete the following set-up steps:
+#
+# 1. Create an ECR repository to store your images.
+#    For example: `aws ecr create-repository --repository-name my-ecr-repo --region us-east-2`.
+#    Replace the value of the `ECR_REPOSITORY` environment variable in the workflow below with your repository's name.
+#    Replace the value of the `AWS_REGION` environment variable in the workflow below with your repository's region.
+#
+# 2. Create an ECS task definition, an ECS cluster, and an ECS service.
+#    For example, follow the Getting Started guide on the ECS console:
+#      https://us-east-2.console.aws.amazon.com/ecs/home?region=us-east-2#/firstRun
+#    Replace the value of the `ECS_SERVICE` environment variable in the workflow below with the name you set for the Amazon ECS service.
+#    Replace the value of the `ECS_CLUSTER` environment variable in the workflow below with the name you set for the cluster.
+#
+# 3. Store your ECS task definition as a JSON file in your repository.
+#    The format should follow the output of `aws ecs register-task-definition --generate-cli-skeleton`.
+#    Replace the value of the `ECS_TASK_DEFINITION` environment variable in the workflow below with the path to the JSON file.
+#    Replace the value of the `CONTAINER_NAME` environment variable in the workflow below with the name of the container
+#    in the `containerDefinitions` section of the task definition.
+#
+# 4. Store an IAM user access key in GitHub Actions secrets named `AWS_ACCESS_KEY_ID` and `AWS_SECRET_ACCESS_KEY`.
+#    See the documentation for each action used below for the recommended IAM policies for this IAM user,
+#    and best practices on handling the access key credentials.
+
+name: Deploy to Amazon ECS
+
+on:
+  push:
+    branches:
+      - $default-branch
+
+env:
+  AWS_REGION: MY_AWS_REGION                   # set this to your preferred AWS region, e.g. us-west-1
+  ECR_REPOSITORY: MY_ECR_REPOSITORY           # set this to your Amazon ECR repository name
+  ECS_SERVICE: MY_ECS_SERVICE                 # set this to your Amazon ECS service name
+  ECS_CLUSTER: MY_ECS_CLUSTER                 # set this to your Amazon ECS cluster name
+  ECS_TASK_DEFINITION: MY_ECS_TASK_DEFINITION # set this to the path to your Amazon ECS task definition
+                                               # file, e.g. .aws/task-definition.json
+  CONTAINER_NAME: MY_CONTAINER_NAME           # set this to the name of the container in the
+                                               # containerDefinitions section of your task definition
+
+jobs:
+  deploy:
+    name: Deploy
+    runs-on: ubuntu-latest
+    environment: production
+
+    steps:
+    - name: Checkout
+      uses: actions/checkout@v2
+
+    - name: Configure AWS credentials
+      uses: aws-actions/configure-aws-credentials@v1
+      with:
+        aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
+        aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
+        aws-region: ${{ env.AWS_REGION }}
+
+    - name: Login to Amazon ECR
+      id: login-ecr
+      uses: aws-actions/amazon-ecr-login@v1
+
+    - name: Build, tag, and push image to Amazon ECR
+      id: build-image
+      env:
+        ECR_REGISTRY: ${{ steps.login-ecr.outputs.registry }}
+        IMAGE_TAG: ${{ github.sha }}
+      run: |
+        # Build a docker container and
+        # push it to ECR so that it can
+        # be deployed to ECS.
+        docker build -t $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG .
+        docker push $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG
+        echo "::set-output name=image::$ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG"
+
+    - name: Fill in the new image ID in the Amazon ECS task definition
+      id: task-def
+      uses: aws-actions/amazon-ecs-render-task-definition@v1
+      with:
+        task-definition: ${{ env.ECS_TASK_DEFINITION }}
+        container-name: ${{ env.CONTAINER_NAME }}
+        image: ${{ steps.build-image.outputs.image }}
+
+    - name: Deploy Amazon ECS task definition
+      uses: aws-actions/amazon-ecs-deploy-task-definition@v1
+      with:
+        task-definition: ${{ steps.task-def.outputs.task-definition }}
+        service: ${{ env.ECS_SERVICE }}
+        cluster: ${{ env.ECS_CLUSTER }}
+        wait-for-service-stability: true
diff --git a/deployments/aws_node.yml b/deployments/aws_node.yml
new file mode 100644
index 0000000..dab851f
--- /dev/null
+++ b/deployments/aws_node.yml
@@ -0,0 +1,92 @@
+# This workflow will build and push a new container image to Amazon ECR,
+# and then will deploy a new task definition to Amazon ECS, when there is a push to the $default-branch branch.
+#
+# To use this workflow, you will need to complete the following set-up steps:
+#
+# 1. Create an ECR repository to store your images.
+#    For example: `aws ecr create-repository --repository-name my-ecr-repo --region us-east-2`.
+#    Replace the value of the `ECR_REPOSITORY` environment variable in the workflow below with your repository's name.
+#    Replace the value of the `AWS_REGION` environment variable in the workflow below with your repository's region.
+#
+# 2. Create an ECS task definition, an ECS cluster, and an ECS service.
+#    For example, follow the Getting Started guide on the ECS console:
+#      https://us-east-2.console.aws.amazon.com/ecs/home?region=us-east-2#/firstRun
+#    Replace the value of the `ECS_SERVICE` environment variable in the workflow below with the name you set for the Amazon ECS service.
+#    Replace the value of the `ECS_CLUSTER` environment variable in the workflow below with the name you set for the cluster.
+#
+# 3. Store your ECS task definition as a JSON file in your repository.
+#    The format should follow the output of `aws ecs register-task-definition --generate-cli-skeleton`.
+#    Replace the value of the `ECS_TASK_DEFINITION` environment variable in the workflow below with the path to the JSON file.
+#    Replace the value of the `CONTAINER_NAME` environment variable in the workflow below with the name of the container
+#    in the `containerDefinitions` section of the task definition.
+#
+# 4. Store an IAM user access key in GitHub Actions secrets named `AWS_ACCESS_KEY_ID` and `AWS_SECRET_ACCESS_KEY`.
+#    See the documentation for each action used below for the recommended IAM policies for this IAM user,
+#    and best practices on handling the access key credentials.
+
+name: Deploy to Amazon ECS
+
+on:
+  push:
+    branches:
+      - $default-branch
+
+env:
+  AWS_REGION: MY_AWS_REGION                   # set this to your preferred AWS region, e.g. us-west-1
+  ECR_REPOSITORY: MY_ECR_REPOSITORY           # set this to your Amazon ECR repository name
+  ECS_SERVICE: MY_ECS_SERVICE                 # set this to your Amazon ECS service name
+  ECS_CLUSTER: MY_ECS_CLUSTER                 # set this to your Amazon ECS cluster name
+  ECS_TASK_DEFINITION: MY_ECS_TASK_DEFINITION # set this to the path to your Amazon ECS task definition
+                                               # file, e.g. .aws/task-definition.json
+  CONTAINER_NAME: MY_CONTAINER_NAME           # set this to the name of the container in the
+                                               # containerDefinitions section of your task definition
+
+jobs:
+  deploy:
+    name: Deploy
+    runs-on: ubuntu-latest
+    environment: production
+
+    steps:
+    - name: Checkout
+      uses: actions/checkout@v2
+
+    - name: Configure AWS credentials
+      uses: aws-actions/configure-aws-credentials@v1
+      with:
+        aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
+        aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
+        aws-region: ${{ env.AWS_REGION }}
+
+    - name: Login to Amazon ECR
+      id: login-ecr
+      uses: aws-actions/amazon-ecr-login@v1
+
+    - name: Build, tag, and push image to Amazon ECR
+      id: build-image
+      env:
+        ECR_REGISTRY: ${{ steps.login-ecr.outputs.registry }}
+        IMAGE_TAG: ${{ github.sha }}
+      run: |
+        # Build a docker container and
+        # push it to ECR so that it can
+        # be deployed to ECS.
+        docker build -t $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG .
+        docker push $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG
+        echo "::set-output name=image::$ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG"
+
+    - name: Fill in the new image ID in the Amazon ECS task definition
+      id: task-def
+      uses: aws-actions/amazon-ecs-render-task-definition@v1
+      with:
+        task-definition: ${{ env.ECS_TASK_DEFINITION }}
+        container-name: ${{ env.CONTAINER_NAME }}
+        image: ${{ steps.build-image.outputs.image }}
+
+    - name: Deploy Amazon ECS task definition
+      uses: aws-actions/amazon-ecs-deploy-task-definition@v1
+      with:
+        task-definition: ${{ steps.task-def.outputs.task-definition }}
+        service: ${{ env.ECS_SERVICE }}
+        cluster: ${{ env.ECS_CLUSTER }}
+        wait-for-service-stability: true
diff --git a/deployments/azure_docker.yml b/deployments/azure_docker.yml
new file mode 100644
index 0000000..904ff25
--- /dev/null
+++ b/deployments/azure_docker.yml
@@ -0,0 +1,51 @@
+# This workflow will build and push a node.js application to an Azure Web App when there is a push to the $default-branch branch.
+#
+# This workflow assumes you have already created the target Azure App Service web app.
+# For instructions see https://docs.microsoft.com/azure/app-service/app-service-plan-manage#create-an-app-service-plan
+#
+# To configure this workflow:
+#
+# 1. For Linux apps, add an app setting called WEBSITE_WEBDEPLOY_USE_SCM and set it to true in your app **before downloading the file**.
+#      For more instructions see: https://docs.microsoft.com/azure/app-service/configure-common#configure-app-settings
+#
+# 2. Set up a secret in your repository named AZURE_WEBAPP_PUBLISH_PROFILE with the value of your Azure publish profile.
+#    For instructions on obtaining the publish profile see: https://docs.microsoft.com/azure/app-service/deploy-github-actions#configure-the-github-secret
+#
+# 3. Change the values for the AZURE_WEBAPP_NAME, AZURE_WEBAPP_PACKAGE_PATH and NODE_VERSION environment variables  (below).
+#
+# For more information on GitHub Actions for Azure, refer to https://github.com/Azure/Actions
+# For more samples to get started with GitHub Action workflows to deploy to Azure, refer to https://github.com/Azure/actions-workflow-samples
+on:
+  push:
+    branches:
+      - $default-branch
+
+env:
+  AZURE_WEBAPP_NAME: your-app-name    # set this to your application's name
+  AZURE_WEBAPP_PACKAGE_PATH: '.'      # set this to the path to your web app project, defaults to the repository root
+  NODE_VERSION: '10.x'                # set this to the node version to use
+
+jobs:
+  build-and-deploy:
+    name: Build and Deploy
+    runs-on: ubuntu-latest
+    environment: production
+    steps:
+    - uses: actions/checkout@v2
+    - name: Use Node.js ${{ env.NODE_VERSION }}
+      uses: actions/setup-node@v2
+      with:
+        node-version: ${{ env.NODE_VERSION }}
+    - name: npm install, build, and test
+      run: |
+        # Build and test the project, then
+        # deploy to Azure Web App.
+        npm install
+        npm run build --if-present
+        npm run test --if-present
+    - name: 'Deploy to Azure WebApp'
+      uses: azure/webapps-deploy@v2
+      with:
+        app-name: ${{ env.AZURE_WEBAPP_NAME }}
+        publish-profile: ${{ secrets.AZURE_WEBAPP_PUBLISH_PROFILE }}
+        package: ${{ env.AZURE_WEBAPP_PACKAGE_PATH }}
diff --git a/deployments/azure_node.yml b/deployments/azure_node.yml
new file mode 100644
index 0000000..904ff25
--- /dev/null
+++ b/deployments/azure_node.yml
@@ -0,0 +1,51 @@
+# This workflow will build and push a node.js application to an Azure Web App when there is a push to the $default-branch branch.
+#
+# This workflow assumes you have already created the target Azure App Service web app.
+# For instructions see https://docs.microsoft.com/azure/app-service/app-service-plan-manage#create-an-app-service-plan
+#
+# To configure this workflow:
+#
+# 1. For Linux apps, add an app setting called WEBSITE_WEBDEPLOY_USE_SCM and set it to true in your app **before downloading the file**.
+#      For more instructions see: https://docs.microsoft.com/azure/app-service/configure-common#configure-app-settings
+#
+# 2. Set up a secret in your repository named AZURE_WEBAPP_PUBLISH_PROFILE with the value of your Azure publish profile.
+#    For instructions on obtaining the publish profile see: https://docs.microsoft.com/azure/app-service/deploy-github-actions#configure-the-github-secret
+#
+# 3. Change the values for the AZURE_WEBAPP_NAME, AZURE_WEBAPP_PACKAGE_PATH and NODE_VERSION environment variables  (below).
+#
+# For more information on GitHub Actions for Azure, refer to https://github.com/Azure/Actions
+# For more samples to get started with GitHub Action workflows to deploy to Azure, refer to https://github.com/Azure/actions-workflow-samples
+on:
+  push:
+    branches:
+      - $default-branch
+
+env:
+  AZURE_WEBAPP_NAME: your-app-name    # set this to your application's name
+  AZURE_WEBAPP_PACKAGE_PATH: '.'      # set this to the path to your web app project, defaults to the repository root
+  NODE_VERSION: '10.x'                # set this to the node version to use
+
+jobs:
+  build-and-deploy:
+    name: Build and Deploy
+    runs-on: ubuntu-latest
+    environment: production
+    steps:
+    - uses: actions/checkout@v2
+    - name: Use Node.js ${{ env.NODE_VERSION }}
+      uses: actions/setup-node@v2
+      with:
+        node-version: ${{ env.NODE_VERSION }}
+    - name: npm install, build, and test
+      run: |
+        # Build and test the project, then
+        # deploy to Azure Web App.
+        npm install
+        npm run build --if-present
+        npm run test --if-present
+    - name: 'Deploy to Azure WebApp'
+      uses: azure/webapps-deploy@v2
+      with:
+        app-name: ${{ env.AZURE_WEBAPP_NAME }}
+        publish-profile: ${{ secrets.AZURE_WEBAPP_PUBLISH_PROFILE }}
+        package: ${{ env.AZURE_WEBAPP_PACKAGE_PATH }}
diff --git a/deployments/google_java.yml b/deployments/google_java.yml
new file mode 100644
index 0000000..267d3cb
--- /dev/null
+++ b/deployments/google_java.yml
@@ -0,0 +1,81 @@
+# This workflow will build a docker container, publish it to Google Container Registry, and deploy it to GKE when there is a push to the $default-branch branch.
+#
+# To configure this workflow:
+#
+# 1. Ensure that your repository contains the necessary configuration for your Google Kubernetes Engine cluster, including deployment.yml, kustomization.yml, service.yml, etc.
+#
+# 2. Set up secrets in your workspace: GKE_PROJECT with the name of the project and GKE_SA_KEY with the Base64 encoded JSON service account key (https://github.com/GoogleCloudPlatform/github-actions/tree/docs/service-account-key/setup-gcloud#inputs).
+#
+# 3. Change the values for the GKE_ZONE, GKE_CLUSTER, IMAGE, and DEPLOYMENT_NAME environment variables (below).
+#
+# For more support on how to run the workflow, please visit https://github.com/google-github-actions/setup-gcloud/tree/master/example-workflows/gke
+
+name: Build and Deploy to GKE
+
+on:
+  push:
+    branches:
+      - $default-branch
+
+env:
+  PROJECT_ID: ${{ secrets.GKE_PROJECT }}
+  GKE_CLUSTER: cluster-1    # TODO: update to cluster name
+  GKE_ZONE: us-central1-c   # TODO: update to cluster zone
+  DEPLOYMENT_NAME: gke-test # TODO: update to deployment name
+  IMAGE: static-site
+
+jobs:
+  setup-build-publish-deploy:
+    name: Setup, Build, Publish, and Deploy
+    runs-on: ubuntu-latest
+    environment: production
+
+    steps:
+    - name: Checkout
+      uses: actions/checkout@v2
+
+    # Setup gcloud CLI
+    - uses: google-github-actions/setup-gcloud@v0.2.0
+      with:
+        service_account_key: ${{ secrets.GKE_SA_KEY }}
+        project_id: ${{ secrets.GKE_PROJECT }}
+
+    # Configure Docker to use the gcloud command-line tool as a credential
+    # helper for authentication
+    - run: |-
+        gcloud --quiet auth configure-docker
+
+    # Get the GKE credentials so we can deploy to the cluster
+    - uses: google-github-actions/get-gke-credentials@v0.2.1
+      with:
+        cluster_name: ${{ env.GKE_CLUSTER }}
+        location: ${{ env.GKE_ZONE }}
+        credentials: ${{ secrets.GKE_SA_KEY }}
+
+    # Build the Docker image
+    - name: Build
+      run: |-
+        docker build \
+          --tag "gcr.io/$PROJECT_ID/$IMAGE:$GITHUB_SHA" \
+          --build-arg GITHUB_SHA="$GITHUB_SHA" \
+          --build-arg GITHUB_REF="$GITHUB_REF" \
+          .
+
+    # Push the Docker image to Google Container Registry
+    - name: Publish
+      run: |-
+        docker push "gcr.io/$PROJECT_ID/$IMAGE:$GITHUB_SHA"
+
+    # Set up kustomize
+    - name: Set up Kustomize
+      run: |-
+        curl -sfLo kustomize https://github.com/kubernetes-sigs/kustomize/releases/download/v3.1.0/kustomize_3.1.0_linux_amd64
+        chmod u+x ./kustomize
+
+    # Deploy the Docker image to the GKE cluster
+    - name: Deploy
+      run: |-
+        ./kustomize edit set image gcr.io/PROJECT_ID/IMAGE:TAG=gcr.io/$PROJECT_ID/$IMAGE:$GITHUB_SHA
+        ./kustomize build . | kubectl apply -f -
+        kubectl rollout status deployment/$DEPLOYMENT_NAME
+        kubectl get services -o wide
diff --git a/deployments/google_python.yml b/deployments/google_python.yml
new file mode 100644
index 0000000..267d3cb
--- /dev/null
+++ b/deployments/google_python.yml
@@ -0,0 +1,81 @@
+# This workflow will build a docker container, publish it to Google Container Registry, and deploy it to GKE when there is a push to the $default-branch branch.
+#
+# To configure this workflow:
+#
+# 1. Ensure that your repository contains the necessary configuration for your Google Kubernetes Engine cluster, including deployment.yml, kustomization.yml, service.yml, etc.
+#
+# 2. Set up secrets in your workspace: GKE_PROJECT with the name of the project and GKE_SA_KEY with the Base64 encoded JSON service account key (https://github.com/GoogleCloudPlatform/github-actions/tree/docs/service-account-key/setup-gcloud#inputs).
+#
+# 3. Change the values for the GKE_ZONE, GKE_CLUSTER, IMAGE, and DEPLOYMENT_NAME environment variables (below).
+#
+# For more support on how to run the workflow, please visit https://github.com/google-github-actions/setup-gcloud/tree/master/example-workflows/gke
+
+name: Build and Deploy to GKE
+
+on:
+  push:
+    branches:
+      - $default-branch
+
+env:
+  PROJECT_ID: ${{ secrets.GKE_PROJECT }}
+  GKE_CLUSTER: cluster-1    # TODO: update to cluster name
+  GKE_ZONE: us-central1-c   # TODO: update to cluster zone
+  DEPLOYMENT_NAME: gke-test # TODO: update to deployment name
+  IMAGE: static-site
+
+jobs:
+  setup-build-publish-deploy:
+    name: Setup, Build, Publish, and Deploy
+    runs-on: ubuntu-latest
+    environment: production
+
+    steps:
+    - name: Checkout
+      uses: actions/checkout@v2
+
+    # Setup gcloud CLI
+    - uses: google-github-actions/setup-gcloud@v0.2.0
+      with:
+        service_account_key: ${{ secrets.GKE_SA_KEY }}
+        project_id: ${{ secrets.GKE_PROJECT }}
+
+    # Configure Docker to use the gcloud command-line tool as a credential
+    # helper for authentication
+    - run: |-
+        gcloud --quiet auth configure-docker
+
+    # Get the GKE credentials so we can deploy to the cluster
+    - uses: google-github-actions/get-gke-credentials@v0.2.1
+      with:
+        cluster_name: ${{ env.GKE_CLUSTER }}
+        location: ${{ env.GKE_ZONE }}
+        credentials: ${{ secrets.GKE_SA_KEY }}
+
+    # Build the Docker image
+    - name: Build
+      run: |-
+        docker build \
+          --tag "gcr.io/$PROJECT_ID/$IMAGE:$GITHUB_SHA" \
+          --build-arg GITHUB_SHA="$GITHUB_SHA" \
+          --build-arg GITHUB_REF="$GITHUB_REF" \
+          .
+
+    # Push the Docker image to Google Container Registry
+    - name: Publish
+      run: |-
+        docker push "gcr.io/$PROJECT_ID/$IMAGE:$GITHUB_SHA"
+
+    # Set up kustomize
+    - name: Set up Kustomize
+      run: |-
+        curl -sfLo kustomize https://github.com/kubernetes-sigs/kustomize/releases/download/v3.1.0/kustomize_3.1.0_linux_amd64
+        chmod u+x ./kustomize
+
+    # Deploy the Docker image to the GKE cluster
+    - name: Deploy
+      run: |-
+        ./kustomize edit set image gcr.io/PROJECT_ID/IMAGE:TAG=gcr.io/$PROJECT_ID/$IMAGE:$GITHUB_SHA
+        ./kustomize build . | kubectl apply -f -
+        kubectl rollout status deployment/$DEPLOYMENT_NAME
+        kubectl get services -o wide
diff --git a/deployments/properties/aws_docker.properties.json b/deployments/properties/aws_docker.properties.json
new file mode 100644
index 0000000..1b5955a
--- /dev/null
+++ b/deployments/properties/aws_docker.properties.json
@@ -0,0 +1,7 @@
+{
+    "name": "Deploy to Amazon ECS",
+    "description": "Deploy a container to an Amazon ECS service powered by AWS Fargate or Amazon EC2.",
+    "creator": "Amazon Web Services",
+    "iconName": "aws",
+    "categories": ["Deployment", "Dockerfile"]
+}
diff --git a/deployments/properties/aws_node.properties.json b/deployments/properties/aws_node.properties.json
new file mode 100644
index 0000000..d099e52
--- /dev/null
+++ b/deployments/properties/aws_node.properties.json
@@ -0,0 +1,7 @@
+{
+    "name": "Deploy to Amazon ECS",
+    "description": "Deploy a container to an Amazon ECS service powered by AWS Fargate or Amazon EC2.",
+    "creator": "Amazon Web Services",
+    "iconName": "aws",
+    "categories": ["Deployment", "JavaScript", "npm"]
+}
diff --git a/deployments/properties/azure_docker.properties.json b/deployments/properties/azure_docker.properties.json
new file mode 100644
index 0000000..a5fd8ea
--- /dev/null
+++ b/deployments/properties/azure_docker.properties.json
@@ -0,0 +1,7 @@
+{
+    "name": "Deploy Node.js to Azure Web App",
+    "description": "Build a Node.js project and deploy it to an Azure Web App.",
+    "creator": "Microsoft Azure",
+    "iconName": "azure",
+    "categories": ["Deployment", "Dockerfile"]
+}
\ No newline at end of file
diff --git a/deployments/properties/azure_node.properties.json b/deployments/properties/azure_node.properties.json
new file mode 100644
index 0000000..90a3717
--- /dev/null
+++ b/deployments/properties/azure_node.properties.json
@@ -0,0 +1,7 @@
+{
+    "name": "Deploy Node.js to Azure Web App",
+    "description": "Build a Node.js project and deploy it to an Azure Web App.",
+    "creator": "Microsoft Azure",
+    "iconName": "azure",
+    "categories": ["Deployment", "JavaScript", "npm"]
+}
\ No newline at end of file
diff --git a/deployments/properties/google_java.properties.json b/deployments/properties/google_java.properties.json
new file mode 100644
index 0000000..cc17c30
--- /dev/null
+++ b/deployments/properties/google_java.properties.json
@@ -0,0 +1,7 @@
+{
+    "name": "Build and Deploy to GKE",
+    "description": "Build a docker container, publish it to Google Container Registry, and deploy to GKE.",
+    "creator": "Google Cloud",
+    "iconName": "googlegke",
+    "categories": ["Deployment", "Java"]
+}
\ No newline at end of file
diff --git a/deployments/properties/google_python.properties.json b/deployments/properties/google_python.properties.json
new file mode 100644
index 0000000..3ded1a9
--- /dev/null
+++ b/deployments/properties/google_python.properties.json
@@ -0,0 +1,7 @@
+{
+    "name": "Build and Deploy to GKE",
+    "description": "Build a docker container, publish it to Google Container Registry, and deploy to GKE.",
+    "creator": "Google Cloud",
+    "iconName": "googlegke",
+    "categories": ["Deployment", "Python"]
+}
\ No newline at end of file