A solution framework to generate a new project with built-in structure and modules to accelerate your project setup.

Solutions Builder is a boilerplate template for building repeatable solutions with the best practices in architecture on Google Cloud, including GKE clusters, Cloud Run, Test Automation, CI/CD, as well as development process.

This template provides built-in and ready-to-ship modules including:

• Easy-to-deploy Terraform boilerplate modules
• Container-based microservices, can be deployed to a Kubernetes cluster or Cloud Run.
• Unified deployment using Skaffold.
• Automatically generated API documentation with Swagger UI.
• CI/CD deployment (with GitHub Actions).
• Cloud Run templates.

Please see Feature Requests in the GitHub issue list.

[Optional] If you plan to deploy services on a GKE cluster, please install the following:

With pip:

pip install solutions-builder

With pipx:

pip install --user pipx
pipx install solutions-builder

This quick start steps will do the following:

• Create a new GCP project and initialize Cloud foundation.
• Add a RESTful API service for managing Todo list.
• Deploy the service to Cloud Run.

Set up GCP project

export PROJECT_ID=my-solution-gcp-id

# (Optional) Create a new GCP project. You can also use an existing GCP project.
gcloud projects create $PROJECT_ID

# Set gcloud CLI to the GCP project.
gcloud config set project $PROJECT_ID

Generate a new solution folder.

sb new my-solution

This will prompt options and variables:

🎤 What is your project name? (Spaces are allowed.)
   my-solution
🎤 What is your Google Cloud project ID?
   my-solution-gcp-id
🎤 What is your Google Cloud project number?
   12345678
🎤 Which Google Cloud region?
   us-central1
🎤 Use GCS Bucket for Terraform backend?
   Yes

Go to the newly created project folder

cd my-solution
sb infra apply 1-bootstrap

Initialize Cloud infrastructure

• Option 1: (Recommended) Log in to the jump host and run the following command(s) in the solution folder.
• Option 2: Run the following commands in your local machine.

sb infra apply 2-foundation

Add a RESTful API service with Todo data model to this solution.

sb components add restful_service

Fill details in the prompt:

• Component name: todo_service
• Resource name: todo-service
• Relative path: todo-service
• GCP region: us-central1
• Data model name: todo
• Add Cloud Run to deployment methods: yes
• Create network endpoint group (NEG) for serverless ingress: yes
• Default deploy method? (cloudrun or gke): Cloud Run

Add an HTTP Load Balancer for Cloud Run service(s)

sb add component terraform_httplb_cloudrun
sb infra apply 3-httplb-cloudrun

Build and deploy

sb deploy

• See other deployment options in solutions_builder/modules.

For more information on how to use the CLI, please refer to the CLI_USAGE.md.

You can find more documentations in docs folder. In a nutshell, it covers the following:

• INSTALLATION.md - The overall installation guide.
• DEVELOPMENT.md - Development guide and code submission process.
• TROUBLESHOOTING.md - Development guide and code submission process.

In the docs/components folder, it contains a few more guidance based on each component/feature available in this template.

• gke.md covers the overall development guidance on Google Kubernetes Engine.
• cloudrun.md covers the guidance if you want to deploy microservice to Cloud Run.

• Who are the target audience/users for this Solutions Builder?

  • A: Any engineering team to start a new solution development project.

• Can I choose to deploy microservice just to Cloud Run?

  • A: Yes, please refer to INSTALLATION Guide for more details.

• Can I use this template for non-Google or multi-Cloud environments?

  • A: We design this Solutions Builder to work 100% out of the box with Google Cloud products. However, you could customize the solution to meet your needs on multi-Cloud environment. See Why Google Cloud for details.

See TROUBLESHOOTING Guide for details.