Updated cloud deployment readme

06-cloud-deployment/README.md

@@ -1,4 +1,4 @@
-# 04-cloud-deployment
+# 06-cloud-deployment
 
 ## Overview
 
@@ -24,7 +24,25 @@ Before starting this lesson, please ensure that you have:
 
 ## Lesson Content
 
-### 4.1 Setup and GKE Cluster Creation
+### 6.1 Accessing Google Cloud and Setting Up the Environment
+
+1. Log into your provided Google Cloud account.
+
+2. Navigate to the Google Cloud Console and open the Cloud Shell by clicking on the terminal icon in the top-right corner.
+
+3. Once in the Cloud Shell, clone the repository containing the finished code:
+   ```bash
+   git clone https://github.com/timmanik/data-pipeline-workshop
+   ```
+
+4. Change into the cloned directory:
+   ```bash
+   cd data-pipeline-workshop
+   ```
+
+This repository contains the finished product of the code you've created throughout the workshop. Using this ensures a smooth deployment process.
+
+### 6.2 Setup and GKE Cluster Creation
 
 1. List and set your GCP project:
    ```bash
@@ -44,13 +62,13 @@ Before starting this lesson, please ensure that you have:
    gcloud container clusters describe weather-cluster --zone=us-central1-a
    ```
 
-### 4.2 Create Container Repository on Artifact Registry
+### 6.3 Create Container Repository on Artifact Registry
 
 ```bash
 gcloud artifacts repositories create my-docker-repo --project=$PROJECT_ID --location=us --repository-format=docker
 ```
 
-### 4.3 Build and Push Docker Images
+### 6.4 Build and Push Docker Images
 
 ```bash
 # Navigate to the data-pipeline directory
@@ -73,7 +91,7 @@ docker build -t us-docker.pkg.dev/${PROJECT_ID}/my-docker-repo/flask-app:latest
 docker push us-docker.pkg.dev/${PROJECT_ID}/my-docker-repo/flask-app:latest
 ```
 
-### 4.4 Kubernetes Deployment
+### 6.5 Kubernetes Deployment
 
 1. Get cluster credentials:
    ```bash
@@ -115,7 +133,7 @@ docker push us-docker.pkg.dev/${PROJECT_ID}/my-docker-repo/flask-app:latest
    envsubst < flask-app-service.yaml | kubectl apply -f -
    ```
 
-### 4.5 Monitoring and Debugging
+### 6.6 Monitoring and Debugging
 
 Here are some useful commands for monitoring and debugging your deployment: