Google Cloud diagrams with AI.
List your GCP services, from Compute Engine instances and BigQuery datasets to Pub/Sub topics, Cloud SQL databases and 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.
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.
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"
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. Official names, short forms like GCS and GCE, and plain language descriptions all work.
- Compute and containers. Compute Engine, GKE, Cloud Run, Cloud Functions, App Engine
- Data and analytics. BigQuery, Dataflow, Pub/Sub, Cloud Composer, Looker
- Storage and database. Cloud Storage, Cloud SQL, Firestore, Spanner, Bigtable
- Networking and security. VPC, Cloud Load Balancing, Cloud Armor, Cloud IAM, Cloud DNS
Google Cloud VPC and 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
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 three steps.
From an infrastructure description to a professional Google Cloud diagram in seconds.
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 many other GCP services natively.
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.
Refine and export
Rearrange services, edit labels, add missing components, or prompt again 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 and 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 and 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 and 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 and 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.
Try any prompt below to create a GCP architecture diagram in MockFlow.
"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?
Does AI create proper VPC network structures for GCP?
Are the icons authentic Google Cloud service icons?
Can I create data pipeline architectures with BigQuery?
Can I edit the GCP diagram after generation?
Is the Google Cloud architecture diagram generator free?
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.
Tell Mida the Google Cloud stack you want to map and it starts the board for you.
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