solutions-builder 1.17.3

A solution framework to generate a project with built-in structure and modules

Google Cloud Solutions Builder

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

TL;DR

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.

Roadmap

Please see Feature Requests in the Github issue list.

Prerequisite

Tool	Required Version	Installation
Python	>= 3.9
gcloud CLI	Latest	https://cloud.google.com/sdk/docs/install
Terraform	>= v1.3.7	https://developer.hashicorp.com/terraform/downloads
Skaffold	>= v2.4.0	https://skaffold.dev/docs/install/

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

Tool	Required Version	Installation
Kustomize	>= v5.0.0	https://kubectl.docs.kubernetes.io/installation/kustomize/

Installing Solutions Builder CLI

With pip:

pip install solutions-builder

With pipx:

pip install --user pipx
pipx install solutions-builder

Getting Started

Set up GCP project

# Optional: create a new GCP project. You can also use an existing GCP project.
gcloud projects create my-solution-gcp-id

# Set gcloud CLI to the GCP project.
gcloud config set project my-solutions-gcp-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 and initialize the solution.

cd my-solution
sb infra init

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 a 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.

Additional Documentations

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

FAQ

• 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 Setting up Google Cloud Project in this README.md to choose where to deploy microservices. Or you can refer to INSTALLATION.md 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.

Troubleshoot

See TROUBLESHOOTING.md for details.