Log in
AI AWS architecture diagrams

AWS architecture diagrams with AI.

Write out your AWS stack, from EC2 instances and Lambda functions to RDS databases, S3 buckets and VPC configurations, and AI turns it into a polished architecture diagram. Every service gets the correct AWS icon, connections carry protocol labels, and subnets are color coded by tier.

From AWS requirements to architecture diagrams.

Building a serverless API? Scaling an ECS cluster? Setting up a multi-AZ disaster recovery plan? Outline your AWS infrastructure in plain text and AI handles the rest: service icons, VPC layout, subnet tiers, and labeled connections.

AI AWS Architecture Diagram Generator, create AWS cloud diagrams with AI

Write your AWS architecture, see it visualized.

Explain your AWS setup the way you'd write it in a design document. AI parses every service reference, places them inside the correct VPC and subnet containers, draws labeled connections between components, and applies the AWS orange color palette throughout.

"AWS 3-tier web application with ALB, EC2 auto-scaling in private subnet, and RDS Multi-AZ with read replicas"
"Serverless architecture with API Gateway, Lambda functions, DynamoDB, S3 static hosting, and CloudFront CDN"
"AWS data pipeline with Kinesis Data Streams, Lambda processing, S3 data lake, and Redshift warehouse"
AI generates AWS architecture diagrams from text descriptions

Authentic AWS service icons.

The AI recognizes AWS services by name, abbreviation, or plain description. Say "compute instance" and it maps to EC2. Write "serverless function" and Lambda appears. The fuzzy matching handles official names, short forms like ALB or RDS, and natural-language descriptions alike.

  • Compute and networking. EC2, Lambda, ECS, ALB, Route53, CloudFront
  • Storage and database. S3, EBS, RDS, DynamoDB, ElastiCache, Redshift
  • Security and identity. IAM, Security Groups, WAF, KMS, Cognito
  • Integration and messaging. SQS, SNS, EventBridge, Step Functions, API Gateway
Authentic AWS service icons matched by AI

Proper VPC and subnet structures.

AI creates VPC containers with grouped subnets, availability zones and network boundaries. Public subnets for internet facing resources, private subnets for application logic, and data subnets for databases, all color coded following AWS architecture conventions.

  • AWS Cloud. Orange border, warm fill
  • VPC. Dark blue gray, light fill
  • Public subnet. Green
  • Private subnet. Red
  • Data subnet. Blue
Proper VPC and subnet structures in AWS architecture diagrams

Plug in your own AI key. Unlimited diagrams.

Link your Claude account through MCP or your ChatGPT account through GPT Actions. Diagram generation runs against your own API quota. Iterate on AWS architectures as many times as you need without spending MockFlow credits.

How it works

Create AWS architecture diagrams in three steps.

From an AWS infrastructure description to a professional diagram in seconds.

Step 1

Outline your AWS stack

List your AWS services, describe how they connect, and specify VPC and subnet requirements. Use service names, abbreviations or plain descriptions. AI understands them all.

Step 2

AI assembles the architecture

AI maps each service to its official AWS icon, organizes them inside VPC and subnet containers, routes labeled connections between components, and applies the signature AWS orange palette.

Step 3

Customize and export

Rearrange services, edit connection labels, add annotations, or try a new prompt for a different approach. Export the final diagram as PNG or SVG, or share a live whiteboard link with your team.

AWS architecture diagrams for every use case.

From web applications to disaster recovery, AI creates the right AWS architecture diagram.

Web application architecture

Design 3-tier web applications with CloudFront CDN, Application Load Balancer, EC2 auto-scaling groups in private subnets, and RDS Multi-AZ databases with read replicas.

Serverless and event driven

Build serverless architectures with API Gateway, Lambda functions, DynamoDB tables, S3 triggers, SQS queues, SNS topics, and EventBridge event buses.

Data and analytics

Create data pipeline architectures with Kinesis Data Streams, Lambda processing, S3 data lakes, Glue ETL jobs, Athena queries, Redshift warehouses, and QuickSight dashboards.

Container and microservices

Visualize container deployments with ECS Fargate, EKS Kubernetes clusters, ECR container registries, ALB ingress controllers, and service mesh configurations.

Hybrid cloud

Map hybrid architectures with AWS Direct Connect, Site-to-Site VPN, Transit Gateway, on-premises data centers, and AWS Outposts for edge deployments.

Disaster recovery

Plan DR architectures with Route53 failover routing, S3 cross-region replication, RDS read replicas, Aurora Global Database, and multi-region deployment strategies.

Try these AWS architecture prompts.

Try any prompt below to create an AWS architecture diagram in MockFlow.

"AWS 3-tier web app with CloudFront, ALB, EC2 auto-scaling, and RDS Multi-AZ in a VPC with public and private subnets"

"Serverless REST API with API Gateway, Lambda, DynamoDB, Cognito authentication, and CloudWatch monitoring"

"AWS EKS Kubernetes cluster with ALB Ingress Controller, ECR container registry, and RDS PostgreSQL"

"Real-time data streaming with Kinesis Data Streams, Lambda, S3 data lake, Athena, and QuickSight dashboards"

"Multi-region disaster recovery with Route53 failover, S3 cross-region replication, and RDS read replicas"

"CI/CD pipeline with CodeCommit, CodeBuild, CodeDeploy, and ECS Fargate deployment targets"

Frequently asked questions.

What AWS services can AI include in architecture diagrams?
AI supports a wide range of AWS services including EC2, Lambda, S3, RDS, DynamoDB, CloudFront, Route53, API Gateway, ECS, EKS, SQS, SNS, Kinesis, Redshift, ElastiCache, Cognito, IAM, WAF, and many more. Just mention the service name in your prompt and AI will include the authentic AWS icon.
Does AI create proper VPC and subnet structures for AWS?
Yes. AI generates proper VPC containers with grouped subnets: public subnets (green) for internet facing resources like ALBs, private subnets (red) for application servers like EC2, and data subnets (blue) for databases like RDS. Each is color coded following AWS architecture conventions.
Are the icons authentic AWS service icons?
AI uses intelligent fuzzy matching to map your service descriptions to the official AWS icon library. Whether you say EC2, compute instance, or virtual server, AI finds the correct AWS icon. The matching handles abbreviations, alternative names, and common AWS terminology.
Can I create multi-region AWS architectures?
Yes. Describe multi-region setups in your prompt and mention Route53 failover, cross-region replication, Aurora Global Database, or multi-region deployment. AI creates region containers with proper service placement and cross-region connections.
Can I edit the AWS diagram after generation?
Yes, the entire diagram is interactive on the MockFlow board. Reposition services, reshape VPC containers, rewire connections, change labels, adjust styles, or add your own annotations. Want a different approach? Modify your prompt and regenerate.
Is the AWS architecture diagram generator free?
MockFlow bundles AI credits with all plans. For unlimited AWS diagram generation, bring your own Claude (through MCP) or ChatGPT (through GPT Actions). Every generation runs on your own plan with no restrictions.
Get started

Visualize your AWS architecture in seconds.

Write out your AWS infrastructure and let AI build a polished architecture diagram with official service icons. Free to get started.

AI credits on every planFree to start
Try it now

Tell Mida the AWS stack you want to map and it starts the board for you.

MCPBrainstorm with MockFlow MCP

Add MockFlow as an MCP connector in Claude, Cursor, or any MCP-compatible AI assistant to generate flowcharts, mindmaps, architecture diagrams, and 16 types of visualizations.

Desktop App MCP Powerful
CLI Web MCP Developer
Loginless Web MCP Easiest

Built into the MockFlow Desktop App. AI creates visuals directly on your open canvas — no URLs, no waiting.

1
Open Desktop App → open a MockFlow project
2
In Claude Code / Cursor, run:
claude mcp add --transport http -s user mockflow-ideaboard http://localhost:21193/mcp
3
Ask: "Create a flowchart for..."

Best for: Designers, product teams, daily MockFlow users.

Download Desktop App →

Install from npm, log in via browser (OAuth), and boards are saved to your MockFlow account.

1
npm install -g @mockflow/ideaboard-mcp
2
mockflow-ideaboard-mcp login
3
mockflow-ideaboard-mcp

Best for: Developers using Claude Code, Cursor, or VS Code Copilot.

npm Package →

Add MockFlow as a connector in Claude.ai or ChatGPT. No installation, no account required. A new board is created and you get a shareable URL.

1
Open Claude.ai → Settings → Connectors
2
Paste this URL: https://app.mockflow.com/ideaboard/mcp
3
Ask Claude to create a flowchart — done!

Best for: Managers, marketers, anyone using Claude.ai or ChatGPT in the browser.

Welcome back

Don't have an account? Sign up

Faster ways in

Sign in with an account you already use.