MockFlow IdeaBoard

Create Google Cloud Architecture
Diagrams with AI

List your GCP services — Compute Engine instances, BigQuery datasets, Pub/Sub topics, Cloud SQL databases, GKE clusters — and AI generates a structured architecture diagram. Each service gets the correct Google Cloud icon, connections are labeled, and VPC networks follow Google's four-color brand system.

AI Google Cloud Architecture Diagram Generator - Create GCP diagrams with AI

GCP Architectures, Visualized from Text

Designing a BigQuery analytics pipeline? Setting up a GKE cluster with Istio? Planning a Cloud Run serverless backend? Describe your Google Cloud architecture in plain text and AI produces the diagram — with correct icons, VPC groupings, and Google's brand colors.

AI Generate

Outline Your GCP Stack, See It Diagrammed

Write your Google Cloud architecture the way you'd explain it to a colleague. AI identifies every GCP service, arranges them inside VPC network containers with proper subnet groupings, draws labeled connections between components, and applies Google's blue-green-red-yellow color system.

"GCP 3-tier web app with Cloud Load Balancer, Compute Engine managed instance group, and Cloud SQL with regional failover in a VPC"
"Data analytics pipeline with Pub/Sub ingestion, Dataflow processing, BigQuery data warehouse, and Looker dashboards"
"GKE microservices architecture with Cloud Armor, Istio service mesh, Cloud SQL, and Cloud Memorystore"
AI generates Google Cloud architecture diagrams from text descriptions
GCP Service Icons

Authentic Google Cloud Service Icons

AI maps your service references to Google's official icon library. Say "data warehouse" and BigQuery appears. Mention "container orchestration" and GKE loads. The recognition covers official names, short forms like GCS and GCE, and plain-language descriptions of any GCP service.

Compute & Containers Compute Engine, GKE, Cloud Run, Cloud Functions, App Engine
Data & Analytics BigQuery, Dataflow, Pub/Sub, Cloud Composer, Looker
Storage & Database Cloud Storage, Cloud SQL, Firestore, Spanner, Bigtable
Networking & Security VPC, Cloud Load Balancing, Cloud Armor, Cloud IAM, Cloud DNS
Authentic Google Cloud service icons matched by AI
VPC Structure

Google Cloud VPC & Network Layouts

AI uses the official Google Cloud color palette for VPC network structures. Each layer — from the Google Cloud boundary to individual subnets — is color-coded following Google's brand guidelines for clear, professional architecture documentation.

Google Cloud — Blue border, light fill
VPC Network — Green, light fill
Public Subnet — Yellow
Private Subnet — Red
Data Subnet — Gray
Google Cloud VPC color-coded network structures
Free Unlimited AI

Your AI key, your generation limits.

Connect your Claude (MCP) or ChatGPT (GPT Actions) API key to MockFlow. GCP diagram generation runs entirely on your own AI account — prototype different architectures without any credit limits.

Create GCP Architecture Diagrams in 3 Steps

From infrastructure description to professional Google Cloud diagram in seconds

1

Write Your GCP Architecture

Describe your Google Cloud setup in everyday language. Reference services by name, abbreviation, or description — AI recognizes Compute Engine, BigQuery, Pub/Sub, Cloud SQL, and 40+ other GCP services natively.

2

AI Builds the Diagram

AI selects official Google Cloud icons for each service, organizes them into VPC networks and subnets, draws labeled connections with data flow directions, and applies Google's four-color brand palette.

3

Refine & Export

Rearrange services, edit labels, add missing components, or re-prompt for a new layout. Export the finished diagram as PNG or SVG, or share a live link with your team.

Google Cloud Architecture Diagrams for Every Team

From data engineering to serverless applications, AI creates the right GCP architecture diagram

Data Engineering & Analytics

Design BigQuery data warehouses, Dataflow ETL pipelines, Pub/Sub event streaming, and Looker BI dashboards with proper data flow connections and staging layers.

Container & Kubernetes

Visualize GKE cluster architectures with node pools, Istio service mesh, Cloud Armor WAF, Artifact Registry, and internal load balancing for microservices deployments.

Machine Learning & AI

Create Vertex AI pipeline architectures with training workflows, model serving endpoints, feature stores, BigQuery datasets, and Cloud Storage for ML artifacts.

Serverless Applications

Map serverless backends with Cloud Run, Cloud Functions, Firestore, Cloud Tasks, Cloud Scheduler, and API Gateway for event-driven application architectures.

Multi-Cloud & Hybrid

Document hybrid architectures with Anthos, Cloud Interconnect, on-premises connectivity, and multi-cloud deployments spanning GCP and other providers.

Real-Time Streaming

Design real-time data architectures with Pub/Sub ingestion, Dataflow stream processing, BigQuery streaming inserts, and Cloud Monitoring alerting pipelines.

Try These Google Cloud Architecture Prompts

Copy any prompt below and paste it into MockFlow IdeaBoard to create a GCP architecture diagram

"GCP 3-tier web app with Cloud CDN, Cloud Load Balancer, Compute Engine auto-scaler, and Cloud SQL in a VPC"
"BigQuery data warehouse pipeline with Pub/Sub, Dataflow ETL, Cloud Storage staging, and Looker BI"
"GKE microservices with Cloud Armor WAF, Istio mesh, Cloud SQL, Memorystore Redis, and Artifact Registry"
"GCP ML pipeline with Vertex AI, Cloud Storage datasets, BigQuery features, and Cloud Functions triggers"
"Real-time streaming with Pub/Sub, Dataflow, BigQuery streaming inserts, and Cloud Monitoring alerts"
"GCP serverless backend with Cloud Run, Firestore, Cloud Storage, Cloud Tasks, and Cloud Scheduler"

Frequently Asked Questions

What Google Cloud services can AI include in architecture diagrams?

AI supports the full range of Google Cloud services including Compute Engine, GKE, Cloud Run, Cloud Functions, App Engine, BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud SQL, Firestore, Spanner, Bigtable, VPC, Cloud Load Balancing, Cloud Armor, Cloud IAM, Cloud DNS, Vertex AI, and many more. AI uses fuzzy matching to recognize service names, abbreviations, and common terminology.

Does AI create proper VPC network structures for GCP?

Yes. AI generates proper VPC network containers with grouped subnets color-coded using Google's brand palette. Public subnets use yellow, private subnets use red, and data subnets use gray — all within a green VPC boundary and blue Google Cloud outer frame for clear, professional documentation.

Are the icons authentic Google Cloud service icons?

AI uses intelligent fuzzy matching to map your service descriptions to official Google Cloud icon libraries. Every Compute Engine instance, Cloud Storage bucket, or BigQuery dataset gets the correct GCP icon. The matching handles abbreviations like GKE, GCS, and common variations of service names.

Can I create data pipeline architectures with BigQuery?

Absolutely. AI excels at creating data pipeline architectures. Describe your pipeline with Pub/Sub for ingestion, Dataflow for processing, Cloud Storage for staging, BigQuery for warehousing, and Looker for visualization — AI generates the complete data flow with labeled connections between each service.

Can I edit the GCP diagram after generation?

Yes — the generated diagram is fully interactive. Drag services to new positions, resize VPC containers, modify connections and labels, adjust colors, or add annotations. You can also re-prompt to generate a completely different layout.

Is the Google Cloud architecture diagram generator free?

MockFlow provides AI credits with all plans. For unrestricted GCP diagram generation, connect your own Claude (MCP) or ChatGPT (GPT Actions) API key and generate on your own quota.

Map your GCP architecture in seconds

Describe your Google Cloud infrastructure and AI generates a professional diagram with official GCP icons. No design skills required — start free.

Create Your First GCP Diagram — Free