Top use cases
Save the prompts you reuse and regenerate diagrams every time your stack changes.
Show VPC layouts, subnets, and routing without hand-drawing
Document shared services (IAM, logging, networking) for reviews
Visualize data planes (S3/GCS/ADLS) alongside compute and governance
Produce cost-aware diagrams that highlight multi-account patterns
Workflow that ships
Provide account structure, regions, and core services. Include networking constraints and shared services.
Ask AI to group networking, data, compute, and security. Request icons for cloud providers only where needed.
Label critical paths (ingress, east-west traffic, egress) and attach guardrails like SCPs or policies.
Export SVG/PNG for review decks and keep the prompt for future updates.
Prompt recipes
Copy, tweak, and save in your repo so regenerations stay consistent.
"Create a multi-account AWS diagram with landing zone, shared services, data platform (S3 + Glue + Redshift), and observability stack. Show VPC peering."
"Generate an Azure reference with Hub-Spoke, Data Lake Gen2, Synapse, and Purview. Highlight private endpoints and RBAC."
"Draw a GCP layout with projects for ingestion, processing, analytics, and ML. Include VPC-SC and IAM policies."
Quality checklist
Networking paths are labeled with ingress/egress controls.
Shared services (IAM, logging, KMS) are in their own plane.
Data services show zones, retention, and encryption posture.
Costly flows (egress) are highlighted for review.
Why use Datadef
Prompt-to-canvas in seconds
Generate React Flow diagrams from prompts, then tweak nodes, metadata, and z-index with live collaboration.
Always in sync
Save prompts alongside canvas versions so you can regenerate diagrams as schemas, services, or policies change.
Shareable and auditable
Export PNG/SVG for decks, or share live canvases with lineage, SLAs, and runbook links for reviewers.
Built for data teams
Support data mesh, lakehouse, and streaming patterns with typed nodes for tables, pipelines, services, and governance layers.
Related guides
AI Diagram Generator for AWS
Use AI to document AWS data platforms across ingestion, processing, storage, and analytics with guardrails and costs.
AI Diagram Generator for Azure
Generate Azure data platform diagrams with AI to align engineering, security, and finance on analytics architectures.
AI Diagram Generator for GCP
Use AI to diagram GCP analytics platforms, mixing streaming and batch, with governance and cost controls baked in.
FAQ
How do I keep cloud icons accurate?
Use text labels first; sprinkle official icons only for clarity. AI can add provider tags but avoid icon overload.
Can AI suggest guardrails?
Yes. Prompt for SCPs, policies, private endpoints, and logging. Review and keep the ones that match your standards.
How detailed should VPC diagrams be?
Show subnets, routing domains, and edge gateways. Avoid per-pod detail; keep the view focused on shared patterns and data flows.
Ship faster
Generate your next diagram with AI
Capture the prompt once, regenerate after every schema change, and keep diagrams audit-ready.