CCS Development Tutorial134

Introduction

CCS (Cloud Control Services) is a cloud-based service that enables you to manage and orchestrate your Google Cloud resources. With CCS, you can automate tasks, enforce policies, and gain visibility into your cloud environment. This tutorial will guide you through the steps of developing a CCS solution, from setting up your environment to deploying your code.

Prerequisites

Before you begin, you will need the following:
A Google Cloud account
The Cloud SDK installed
A text editor or integrated development environment (IDE)
Basic knowledge of Python and the command line

Setting Up Your Environment

To begin, you will need to set up your development environment. This includes creating a Google Cloud project, installing the CCS SDK, and setting up a Python virtual environment.

Creating a Google Cloud Project

If you do not already have a Google Cloud project, you can create one by following the instructions in the Google Cloud documentation.```
gcloud projects create my-project
```

Installing the CCS SDK

Next, you will need to install the CCS SDK. This can be done using the following command:```
pip install google-cloud-ccs-devtools
```

Setting Up a Python Virtual Environment

It is recommended to use a Python virtual environment to isolate your development environment from your system Python installation. You can create a virtual environment using the following commands:```
python3 -m venv venv
source venv/bin/activate
```

Developing Your CCS Solution

Once your environment is set up, you can begin developing your CCS solution. A CCS solution consists of two main components: a policy and a manager.

Policies

Policies define the rules that CCS will enforce on your cloud resources. Policies are written in a declarative language called Rego.

Here is an example of a simple Rego policy that denies access to all resources in a project:```
deny[resource] {
always: true
}
```

Managers

Managers are responsible for enforcing policies on your cloud resources. Managers can be written in any programming language that supports the Python gRPC API.

Here is an example of a simple Python manager that denies access to all resources in a project:```python
import grpc
from import empty_pb2
from import ccs_v1
def deny(request, context):
return ()
def main():
server = ((max_workers=10))
ccs_v1.add_CcsManagerServicer_to_server(DenyManager(), server)
server.add_insecure_port('[::]:8080')
()
server.wait_for_termination()
if __name__ == '__main__':
main()
```

Deploying Your CCS Solution

Once you have developed your CCS solution, you can deploy it to Google Cloud. This can be done using the CCS console or the gcloud command line tool.

Deploying Using the CCS Console

To deploy your CCS solution using the CCS console, follow these steps:
Open the CCS console.
Click on the "Policies" tab.
Click on the "Create Policy" button.
Enter a name for your policy.
Select the project that you want to apply the policy to.
Enter the Rego code for your policy.
Click on the "Save" button.

Once you have deployed your policy, you can create a manager to enforce it. To do this, follow these steps:
Click on the "Managers" tab.
Click on the "Create Manager" button.
Enter a name for your manager.
Select the policy that you want the manager to enforce.
Enter the code for your manager.
Click on the "Save" button.

Deploying Using the gcloud Command Line Tool

To deploy your CCS solution using the gcloud command line tool, you can use the following commands:```
gcloud ccs policies create my-policy --project my-project --file
gcloud ccs managers create my-manager --project my-project --policy my-policy --file
```

Testing Your CCS Solution

Once you have deployed your CCS solution, you can test it by making requests to your cloud resources. If your policy is working correctly, your requests should be denied.

You can use the gcloud command line tool to test your CCS solution. For example, to test the policy that we defined earlier, you can use the following command:```
gcloud compute instances create instance-1 --project my-project --zone us-central1-a
```

This command should fail with the following error message:```
ERROR: () HTTP Error 403: The caller does not have permission
```

Conclusion

In this tutorial, you learned how to develop, deploy, and test a CCS solution. CCS is a powerful tool that can help you to secure and manage your Google Cloud resources. By following the steps in this tutorial, you can create your own CCS solutions to meet your specific needs.

2024-12-18

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