v1.0
AI-Powered · Diagram Engine · Live
AI-Powered Architecture Diagrams
Describe your stack
Get back a diagram, a legend,
a cost estimate, and Terraform.

Archly turns a plain-English architecture description into a validated spec, a rendered diagram, an auto-generated legend, a monthly cost estimate, and a deployable Terraform project — for AWS, Azure, or GCP.

How it works

01 Describe Write your architecture in plain English — services, connections, and boundaries.
02 Generate The AI produces a schema-validated spec, then renders a clean PNG with a legend and cost estimate.
03 Export Download the PNG, or a Terraform project — default scaffold or customized with your own names and region.

Quick-start templates

AWS
Serverless Platform Route 53 → CloudFront → WAF → ALB → EC2 auto-scaling, RDS Multi-AZ, Lambda, DynamoDB.
Route 53LambdaDynamoDBS3
Use this template →
Azure
Microservices SaaS Front Door, App Gateway WAF, Container Apps in a VNet, Azure SQL, Redis, Service Bus.
Front DoorContainer AppsAzure SQL
Use this template →
GCP
Data Pipeline GKE cluster, Cloud SQL, Firestore, Pub/Sub, Cloud Functions, BigQuery, Cloud Storage.
GKEBigQueryPub/Sub
Use this template →

Diagram

AWS
100%
Architecture Diagram
Legend
$0 – $0 / month
💡 Cost Optimization Tips

    0/100
    Security Posture
    Architecture Recommendations
    Risks
    Missing Suggestions
    Well-Architected
    Blast Radius
    Evidence + Confidence

    Replace

    Search by service name — results match this diagram's cloud provider.

    Ask AI about

    Describe the change — only this node (and its direct connections, if truly needed) will be touched.

    Review AI Architecture Changes

    Confirm the resource changes before the diagram is updated.

    Generating diagram…
    Analysing your prompt · Rendering diagram
    💬 How's it going?

    A few quick questions to help us improve the Diagram Agent.

    Customize Terraform export

    Set names and provider basics — they're applied to resource tags and pre-filled as variable defaults. Leave anything blank to keep the default.

    Environment
    Resource names
    History

    No diagrams yet — everything you generate will show up here.

    Version Impact Review

    Compare architecture, risk, cost, and evidence between versions.

    Deploy

    Customize resources (names, region, instance settings…)
    Repository

    Review Terraform Resource Code

    Inspect or edit generated code for each resource before pushing. AI drafts stay here until you approve them.

    Select a resource

    Cloud credentials

    Stored encrypted at rest. Secret values are never shown again after saving — only removed and re-added.

    Saved credential sets
    Add a credential set