/solutions-template

Primary LanguageHCLApache License 2.0Apache-2.0

Google Cloud Solutions Template

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

TL;DR

Solutions Template 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 Template CLI

With pip:

pip install solutions-template

With pipx:

pip install --user pipx
pipx install solutions-template

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.

st 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
st infra init

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

st 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)

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

Build and deploy

st deploy

Additional Documentations

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

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 template?

    • A: Any engineering team to start a new solution development project.
  • Can I choose to deploy microservice just to Cloud Run?

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

    • A: We design this Solutions Template 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.