Cloud Infrastructure Diagram

A cloud infrastructure diagram documents the servers, networks, and storage resources that make up your cloud environment. It's useful for capacity planning, audits, and disaster recovery design. Tip: color-code regions or environments to quickly spot redundancy gaps.

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The prompt behind this diagram

Design a cloud infrastructure diagram showing a multi-region deployment. Include two regions, each with a virtual private cloud containing public and private subnets, a load balancer, a group of compute instances, and a managed database. Add a global DNS routing service directing traffic between regions, a shared object storage service for backups, and a VPN gateway connecting both regions to an on-premises data center.

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

A cloud infrastructure diagram maps the entire deployment of applications and data across cloud provider regions, availability zones, and services. It shows how compute instances, storage, networking, databases, and load balancers interconnect to form a resilient system. The flow represents traffic entering through the internet, passing through security layers like firewalls and WAF, distributing across multiple instances via load balancers, connecting to persistent storage and databases, and returning responses to users. This reveals redundancy, single points of failure, and data paths across your infrastructure.

Key components

When to use it

Use this diagram when designing or documenting a cloud deployment, planning infrastructure scaling, communicating system architecture to stakeholders, or identifying security gaps and redundancy needs. It is essential for architecting multi-tier applications, showing how requests flow through the system, and clarifying which resources exist in which availability zones. This template suits AWS, Azure, Google Cloud, or hybrid deployments where you need to show both logical service relationships and physical distribution.

Common mistakes

Adapting it to your system

Replace generic instance names with your actual service names and image types (for example, NodeJS app servers or Python workers). Add or remove components based on your stack: include CDN, caching layers, message queues, or monitoring services if they are critical to your design. Adjust the number of availability zones to match your region choice and resilience requirements. Label subnets with actual CIDR ranges and use colour coding to distinguish between public-facing, private, and database tiers. Include data flows with annotations showing protocols (HTTP, HTTPS, TCP) and port numbers.

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