diff --git a/Makefile b/Makefile
index bbbe623..2f02f31 100644
--- a/Makefile
+++ b/Makefile
@@ -22,6 +22,14 @@ docker-run: build-whl ## Runs local Airflow for testing
 		cd dev && astro dev restart; \
 	fi
 
+.PHONY: astro-login
+astro-login: # Login to Astro cloud
+	cd dev && astro login cloud.astronomer-stage.io
+
+.PHONY: deploy
+deploy: build-whl astro-login ## Runs local Airflow for testing
+	cd dev && astro deploy -f
+
 .PHONY: docker-stop
 docker-stop: ## Stop Docker container
 	cd dev && astro dev stop
diff --git a/dev/Dockerfile b/dev/Dockerfile
index e26ed5e..27d8542 100644
--- a/dev/Dockerfile
+++ b/dev/Dockerfile
@@ -1,7 +1,21 @@
 FROM quay.io/astronomer/astro-runtime:12.2.0
 
+ENV AIRFLOW__CORE__TEST_CONNECTION=Enabled
+# You need to mount the service-account-key.json file,
+# and the path should refer to the file's location inside the Docker container.
+ENV GOOGLE_APPLICATION_CREDENTIALS=</path/to/your/service-account-key.json>
+
 USER root
 
+RUN apt-get update -y
+RUN apt-get install -y --no-install-recommends && \
+        apt-get install -y curl gnupg && \
+        echo "deb [signed-by=/usr/share/keyrings/cloud.google.gpg] http://packages.cloud.google.com/apt cloud-sdk main" | tee -a /etc/apt/sources.list.d/google-cloud-sdk.list && \
+        curl https://packages.cloud.google.com/apt/doc/apt-key.gpg | apt-key --keyring /usr/share/keyrings/cloud.google.gpg  add - && \
+        apt-get update -y && \
+        apt-get install python3 google-cloud-sdk -y && \
+        apt-get install google-cloud-sdk-gke-gcloud-auth-plugin -y
+
 RUN curl -fsSL -o get_helm.sh https://raw.githubusercontent.com/helm/helm/main/scripts/get-helm-3 && \
     chmod 700 get_helm.sh && \
     ./get_helm.sh
diff --git a/docs/getting_started/astro_setup.rst b/docs/getting_started/astro_setup.rst
new file mode 100644
index 0000000..c0f771e
--- /dev/null
+++ b/docs/getting_started/astro_setup.rst
@@ -0,0 +1,121 @@
+Deploy on Astro Cloud
+#####################
+
+Deploying your project on Astro Cloud allows you to easily manage and orchestrate Ray workflows. This section guides you through the deployment process.
+
+Table of Contents
+=================
+
+- `Setup GKE Cluster`_
+- `Deploy to Astro Cloud`_
+- `Troubleshoot`_
+
+Setup GKE Cluster
+=================
+
+This section describes how to create a GKE cluster that can be used to orchestrate Ray jobs using Astro Cloud.
+
+Prerequisites
+-------------
+
+Install the following software:
+
+- `Gcloud <https://cloud.google.com/sdk/docs/install>`_
+
+Steps
+-----
+
+1. **Create a Google Cloud service account key JSON file:** Follow the instructions `here <https://cloud.google.com/iam/docs/keys-create-delete>`_
+
+2. **Set up the gcloud credentials**
+
+.. code-block:: bash
+
+    gcloud auth activate-service-account --key-file=</path/to/your/service-account-key.json>
+
+    gcloud config set project <YOUR_PROJECT_ID>
+
+3. **Install the gcloud auth plugin**
+
+.. code-block:: bash
+
+    gcloud components install gke-gcloud-auth-plugin
+
+4. **Create a GKE cluster**
+
+.. code-block:: bash
+
+    gcloud container clusters create <YOUR_CLUSTER_NAME> \
+          --zone us-central1-a \
+          --num-nodes 1 \
+          --machine-type e2-standard-4 \
+          --enable-autoscaling --min-nodes=1 --max-nodes=3 \
+          --no-enable-ip-alias
+          --project <YOUR_PROJECT_ID>
+
+5. **Retrieve GKE cluster configuration**
+
+.. code-block:: bash
+
+    gcloud container clusters get-credentials <YOUR_CLUSTER_NAME> --zone us-central1-a
+
+    kubectl config view --raw > kubeconfig.yaml
+
+We will use the ``kubeconfig.yaml`` file to create an Airflow connection of type ``Ray`` in Astro Cloud. You need to mount the ``kubeconfig.yaml`` file into the Airflow Docker container and specify the path to this file within the Airflow connection.
+
+6. ** Optional: Delete GKE cluster**
+
+Once you no longer need the GKE cluster, you can delete it using the command below.
+
+.. code-block:: bash
+
+    gcloud container clusters delete <YOUR_CLUSTER_NAME>
+
+
+Deploy to Astro Cloud
+=====================
+
+This section describes how to deploy the project and orchestrate Ray jobs on Astro Cloud.
+
+Prerequisites
+-------------
+
+- `Docker <https://docs.docker.com/desktop/>`_
+- `Astro CLI <https://www.astronomer.io/docs/astro/cli/install-cli>`_
+
+Steps
+-----
+
+1. **Create an Astro deployment:** Follow the instructions `here <https://www.astronomer.io/docs/astro/create-deployment#:~:text=Create%20a%20Deployment%E2%80%8B,%2C%20executor%2C%20and%20worker%20resources.>`_
+
+2. **Deploy the project on Astro Cloud**
+
+.. code-block:: bash
+
+    make deploy
+
+This command will build a wheel from your branch and deploy the `project <https://github.com/astronomer/astro-provider-ray/tree/main/dev>`_ in Astro Cloud.
+
+3. **Create an Airflow Connection**
+
+- Navigate to Admin -> Connections -> Add a new record. Select the connection type ``Ray`` and set the parameter ``Kube config path`` to the path of ``kubeconfig.yaml``.
+
+Troubleshoot
+-------------
+
+1. **I'm encountering the error: "You do not currently have an active account selected for RayCluster on GKE.**
+
+This can occur if the environment isn't properly configured for using a service account. Please try running the command below on your machine.
+
+.. code-block:: bash
+
+    gcloud auth activate-service-account --key-file='/path/to/your/service-account-key.json'
+
+
+Alternatively, you can add a start Airflow task to execute this command.
+
+.. code-block:: python
+
+    @task.bash
+    def activate_service_account() -> str:
+        return "gcloud auth activate-service-account --key-file='/path/to/your/service-account-key.json'"
diff --git a/docs/index.rst b/docs/index.rst
index 6345c9f..df97f61 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -9,6 +9,7 @@ Welcome to the Ray provider documentation!
    Home <self>
    Getting started <getting_started/setup>
    Code Samples <getting_started/code_samples>
+   Deploy on Astro Cloud <getting_started/astro_setup>
    API Reference <api/ray_provider>
    Contributing <CONTRIBUTING>