In this section, we will guide you through the process of implementing your capstone project on Google Cloud Platform (GCP). This is where you will put into practice all the knowledge and skills you have acquired throughout the course. By the end of this module, you should have a fully functional project deployed on GCP.

Before you start coding, ensure that your environment is properly set up.

1. Create a New Project:

   • Go to the GCP Console.
   • Click on the project dropdown and select "New Project".
   • Name your project and click "Create".

2. Enable APIs and Services:

   • Navigate to the "APIs & Services" dashboard.
   • Enable the necessary APIs for your project (e.g., Compute Engine API, Cloud Storage API, etc.).

3. Set Up Billing:

   • Ensure that your billing account is linked to your project to avoid any interruptions.

Design the architecture of your project based on the requirements specified in the previous module.

1. Define Components:

   • Identify the core components of your project (e.g., databases, compute instances, storage buckets).

2. Create a Diagram:

   • Use tools like Google Drawings or Lucidchart to create a visual representation of your architecture.

Start by implementing the core services of your project.

Example: Deploying a Web Application

1. Compute Engine:

   • Create a VM instance to host your web application.

   gcloud compute instances create my-web-app 
          --zone=us-central1-a 
          --machine-type=n1-standard-1 
          --image-family=debian-9 
          --image-project=debian-cloud
   

2. Cloud Storage:

   • Create a storage bucket to store static assets.

   gsutil mb gs://my-web-app-assets
   

3. Cloud SQL:

   • Set up a Cloud SQL instance for your database.

   gcloud sql instances create my-sql-instance 
          --tier=db-f1-micro 
          --region=us-central1
   

Ensure that your services can communicate with each other securely.

1. VPC Networks:

   • Set up a Virtual Private Cloud (VPC) network.

   gcloud compute networks create my-vpc --subnet-mode=custom
   

2. Firewall Rules:

   • Create firewall rules to allow traffic to your VM instances.

   gcloud compute firewall-rules create allow-http 
          --network my-vpc 
          --allow tcp:80
   

Deploy your application code to the appropriate services.

1. App Engine:

   • Deploy a web application to App Engine.

   gcloud app deploy
   

2. Kubernetes Engine:

   • Deploy a containerized application to Kubernetes Engine.

   gcloud container clusters create my-cluster
   kubectl create deployment my-app --image=gcr.io/my-project/my-app
   kubectl expose deployment my-app --type=LoadBalancer --port 80
   

Implement monitoring and logging to keep track of your application's performance and issues.

1. Stackdriver Monitoring:

   • Set up Stackdriver Monitoring for your project.

   gcloud services enable monitoring.googleapis.com
   

2. Logging:

   • Use Stackdriver Logging to collect and analyze logs.

   gcloud services enable logging.googleapis.com
   

Thoroughly test your implementation to ensure everything works as expected.

1. Unit Tests:

   • Write and run unit tests for your application code.

2. Integration Tests:

   • Perform integration tests to verify that different components work together.

3. Load Testing:

   • Conduct load testing to ensure your application can handle the expected traffic.

Once testing is complete, finalize your deployment.

1. DNS Configuration:

   • Set up DNS records to point to your application.

   gcloud dns managed-zones create my-zone --dns-name="example.com." --description="My DNS zone"
   gcloud dns record-sets transaction start --zone=my-zone
   gcloud dns record-sets transaction add --zone=my-zone --name="www.example.com." --ttl=300 --type=A "IP_ADDRESS"
   gcloud dns record-sets transaction execute --zone=my-zone
   

2. SSL Certificates:

   • Configure SSL certificates for secure communication.

   gcloud compute ssl-certificates create my-cert --certificate=path/to/cert.pem --private-key=path/to/key.pem
   

In this section, you have learned how to implement your capstone project on GCP. You started by setting up your environment, designing the architecture, and implementing core services. You then configured networking, deployed the application, and set up monitoring and logging. Finally, you tested the implementation and finalized the deployment. This comprehensive approach ensures that your project is robust, scalable, and ready for production.

Next, you will move on to testing and deployment, where you will learn how to thoroughly test your project and deploy it to a live environment.