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id: cloud-deployment-quick-ref sidebar_label: Cloud Deployment Quick Ref title: "GCP & Azure Deployment — Quick Reference" description: "Fast, actionable guide for deploying ValkyrAI to Google Cloud Run and Azure App Service." tags: [deployment, cloud, gcp, azure]

GCP & Azure Deployment — Quick Reference

Deploy ValkyrAI to Google Cloud Platform (GCP) or Microsoft Azure in minutes. This guide covers both frontend and backend steps for a smooth cloud launch.

Deployment Options​

  • ValorIDE Injection
  • AWS Fargate
  • GCP Cloud Run
  • Azure App Service
  • Local Package Download

GCP Cloud Run: Step-by-Step​

  1. Prepare: Build your JAR file.
  2. Authenticate: Log in to GCP (gcloud auth login).
  3. Build Docker Image: Use Cloud Build or local Docker.
  4. Push to Artifact Registry: Store your image securely.
  5. Deploy to Cloud Run: Launch and get your service URL.

Config fields:

  • Project ID
  • Region (choose from 5)

Azure App Service: Step-by-Step​

  1. Prepare: Build your JAR file.
  2. Authenticate: Log in to Azure (az login).
  3. Create Resource Group & App Service Plan
  4. Deploy: Use Azure CLI or portal to deploy your app.

Config fields:

  • Resource Group
  • Region (choose from 5)
  • App Service Plan

UI/UX Notes​

  • Responsive grid layout for deployment options
  • Easy config forms for each cloud

See also: Architecture One Sheet for a high-level view.