Introduction
Google Cloud Deployment Manager is an infrastructure management service that automates the creation and management of Google Cloud resources. It allows you to define all the resources needed for your application in a declarative format using YAML, Python, or Jinja2 templates. This module will cover the basics of Cloud Deployment Manager, how to create and manage deployments, and best practices for using this service.
Key Concepts
- Deployment: A collection of resources defined in a configuration file.
- Configuration File: A YAML, Python, or Jinja2 file that describes the resources to be deployed.
- Template: A reusable configuration file that can be parameterized and included in other configurations.
- Resource: An individual Google Cloud resource, such as a VM instance, a Cloud Storage bucket, or a BigQuery dataset.
Setting Up Cloud Deployment Manager
Prerequisites
- A Google Cloud Platform account.
- The Google Cloud SDK installed and configured on your local machine.
- Basic knowledge of YAML, Python, or Jinja2.
Enabling the Deployment Manager API
- Go to the Google Cloud Console.
- Navigate to the APIs & Services > Library.
- Search for "Deployment Manager" and click on Google Cloud Deployment Manager V2 API.
- Click Enable.
Creating a Simple Deployment
Step 1: Define the Configuration File
Create a file named vm.yaml
with the following content:
resources: - name: my-vm type: compute.v1.instance properties: zone: us-central1-a machineType: zones/us-central1-a/machineTypes/n1-standard-1 disks: - deviceName: boot type: PERSISTENT boot: true autoDelete: true initializeParams: sourceImage: projects/debian-cloud/global/images/family/debian-9 networkInterfaces: - network: global/networks/default accessConfigs: - name: External NAT type: ONE_TO_ONE_NAT
Step 2: Deploy the Configuration
Run the following command to create the deployment:
Step 3: Verify the Deployment
Check the status of your deployment:
You can also verify the VM instance in the Google Cloud Console under Compute Engine > VM instances.
Managing Deployments
Updating a Deployment
To update an existing deployment, modify the configuration file and run:
Deleting a Deployment
To delete a deployment and all associated resources, run:
Best Practices
- Use Templates: Break down complex configurations into reusable templates to simplify management and improve readability.
- Version Control: Store your configuration files in a version control system like Git to track changes and collaborate with team members.
- Parameterize Configurations: Use variables and parameters in your templates to make them more flexible and reusable.
- Test Changes: Test configuration changes in a staging environment before applying them to production.
Practical Exercise
Exercise: Create a Deployment with a Cloud Storage Bucket
- Objective: Create a deployment that includes a VM instance and a Cloud Storage bucket.
- Configuration File: Create a file named
deployment.yaml
with the following content:
resources: - name: my-vm type: compute.v1.instance properties: zone: us-central1-a machineType: zones/us-central1-a/machineTypes/n1-standard-1 disks: - deviceName: boot type: PERSISTENT boot: true autoDelete: true initializeParams: sourceImage: projects/debian-cloud/global/images/family/debian-9 networkInterfaces: - network: global/networks/default accessConfigs: - name: External NAT type: ONE_TO_ONE_NAT - name: my-bucket type: storage.v1.bucket properties: location: US
- Deploy the Configuration:
- Verify the Deployment: Check the status of your deployment and verify the VM instance and Cloud Storage bucket in the Google Cloud Console.
Solution
The provided configuration file creates a VM instance and a Cloud Storage bucket. By running the deployment command, you can verify the creation of both resources in the Google Cloud Console.
Conclusion
In this module, you learned about Google Cloud Deployment Manager, how to create and manage deployments, and best practices for using this service. You also completed a practical exercise to reinforce the concepts learned. In the next module, we will explore advanced GCP topics, including hybrid and multi-cloud solutions with Anthos.
Google Cloud Platform (GCP) Course
Module 1: Introduction to Google Cloud Platform
- What is Google Cloud Platform?
- Setting Up Your GCP Account
- GCP Console Overview
- Understanding Projects and Billing
Module 2: Core GCP Services
Module 3: Networking and Security
Module 4: Data and Analytics
Module 5: Machine Learning and AI
Module 6: DevOps and Monitoring
- Cloud Build
- Cloud Source Repositories
- Cloud Functions
- Stackdriver Monitoring
- Cloud Deployment Manager
Module 7: Advanced GCP Topics
- Hybrid and Multi-Cloud with Anthos
- Serverless Computing with Cloud Run
- Advanced Networking
- Security Best Practices
- Cost Management and Optimization