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Create and bootstrap Google Cloud projects for new workloads. Use when the user wants to create a new Google Cloud project, choose a project ID and naming co...
创建并初始化 Google Cloud 新项目,配置项目 ID 与命名规范,适用于新工作负载。
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概述

GCP Project Bootstrap

Create new Google Cloud projects in a deliberate, least-privilege way.

Workflow

  1. Clarify the workload first.
    • Cloud Run app
    • Vertex AI / Gemini / ML workload
    • BigQuery / analytics
    • Cloud Storage / file hosting
    • Firebase app
    • sandbox / experiment / tutorial
  1. Collect required inputs before proposing commands.
    • project display name
    • desired project_id
    • org/folder placement if applicable
    • billing account availability
    • primary region or residency requirement
    • services that must work on day one
    • whether CI/CD or runtime service accounts are needed
  1. Read references/project-creation-checklist.md and follow it as the default sequence.
  1. If billing, API enablement, or service selection is part of the task, read references/billing-and-apis.md.
  1. If command examples are needed, read references/common-gcloud-commands.md.

Operating rules

  • Do not assume billing is already linked.
  • Do not recommend broad roles like roles/owner unless the user explicitly asks and understands the risk.
  • Prefer least privilege and workload-specific service accounts.
  • Call out when a step requires console-only actions, elevated org permissions, or a human with billing admin access.
  • If the user has not chosen a region, explain the tradeoff briefly instead of picking randomly.
  • If the project is for production, recommend enabling audit-friendly naming and separating runtime/service identities early.

Output expectations

When helping the user, produce:

  • a short summary of the intended project purpose
  • the exact inputs still missing
  • a safe creation sequence
  • API list grouped by workload
  • IAM/service-account recommendations only if relevant

Common workload branches

Cloud Run

Focus on:

  • Artifact Registry
  • Cloud Build
  • Cloud Run Admin API
  • runtime service account
  • region choice close to users/data

Vertex AI

Focus on:

  • billing must be active
  • Vertex AI API
  • region support for the intended model/service
  • storage buckets for datasets/artifacts if needed
  • service account separation for notebooks/jobs/apps

BigQuery

Focus on:

  • dataset region planning
  • billing confirmation
  • BigQuery API
  • least-privilege access for analysts vs pipelines

Firebase

Focus on:

  • whether this is primarily a Firebase project with GCP underneath
  • required console setup beyond raw gcloud
  • auth/hosting/firestore specific downstream decisions

版本历史

共 1 个版本

  • v1.0.0 当前
    2026-03-19 14:53 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
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腾讯云安全 (Sanbu)

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