AWS Architecture Diagram

An AWS architecture diagram visualizes how cloud services like EC2, RDS, S3, and Lambda interact to deliver an application. Teams use these diagrams for design reviews, documentation, and onboarding new engineers. Tip: group related services into logical tiers (network, compute, data) to keep complex architectures readable.

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The prompt behind this diagram

Design a generic AWS cloud architecture diagram including a Route 53 DNS entry point, CloudFront CDN, an Application Load Balancer, an Auto Scaling Group of EC2 instances running a web application, an RDS Multi-AZ database, an ElastiCache Redis cluster, an S3 bucket for static assets, a Lambda function triggered by an SQS queue for background jobs, a CloudWatch monitoring block, and an IAM role governing service permissions. Show traffic flow from users through DNS and CDN to the load balancer, then to EC2 instances, which connect to the database and cache, with the Lambda function processing messages from SQS asynchronously.

Paste your own description (or Terraform / docker-compose / SQL schema) into draft1 and get a diagram like this for your exact system.

What this diagram shows

An AWS architecture diagram visualises how cloud infrastructure components connect and interact within Amazon Web Services. It typically shows compute instances (EC2), storage systems (S3), databases (RDS, DynamoDB), networking layers (VPC, load balancers), and supporting services arranged to reflect data flow and dependencies. The diagram progresses from client entry points through network infrastructure to backend services, making it clear how requests route through the system and where data is processed, stored, and retrieved. This enables teams to understand deployment topology, identify bottlenecks, and communicate infrastructure decisions to stakeholders.

Key components

When to use it

Use this diagram when designing new AWS deployments, documenting existing infrastructure, planning migrations from on-premises systems, or communicating architecture to development teams and stakeholders. It works well for systems spanning multiple availability zones, microservices topologies, or hybrid setups. It is particularly useful in design reviews, compliance documentation, and capacity planning discussions where visual clarity about component placement and data routes is essential.

Common mistakes

Adapting it to your system

Start by identifying your entry point (API Gateway, CloudFront, or direct VPC access) and draw it at the top. Map your VPC structure with public and private subnets clearly separated. Place load balancers and NAT gateways in public subnets, then arrange EC2 or container groups in private subnets. Connect databases and caches below compute, and attach S3 buckets or external services to the side. Label each connection with the protocol or service type. Adjust the number of instances, regions, and services to match your actual environment rather than copying generic examples wholesale.

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