Cloud Infrastructure Architecture Diagram

What this diagram shows

A cloud infrastructure architecture diagram models how compute, storage, and database components connect within a cloud environment, typically organized across subnets and availability zones. It shows traffic flow from external users through a load balancer to application servers, then onward to databases and persistent storage. The diagram clarifies separation of concerns (frontend, application, data tiers), network isolation via subnets, redundancy patterns, and how services communicate. It provides a top-down view of a deployed system's topology, making it useful for capacity planning, security review, and onboarding new team members to the system design.

Key components

• Load Balancer — Distributes incoming user traffic across multiple application server instances to prevent any single server becoming a bottleneck.
• Application Servers — Run the business logic and API endpoints, receiving requests from the load balancer and querying databases or storage as needed.
• Subnets — Segment the virtual network into isolated IP ranges, typically separating public-facing resources from private database and storage tiers.
• Database Cluster — Provides persistent structured data storage with replication across availability zones for high availability and disaster recovery.
• Object Storage — Stores unstructured data such as images, videos, backups, and logs in a scalable, durable manner separate from databases.
• Availability Zones — Represents geographically separated data centres within a region, ensuring workloads survive single infrastructure failures.
• Security Groups / Firewalls — Define ingress and egress rules controlling which traffic is allowed between components and from the internet.

When to use it

Use this diagram when designing or documenting a deployed cloud application, particularly for teams discussing infrastructure decisions, security boundaries, or scaling strategies. It is essential during architecture reviews, incident post-mortems, capacity planning, and when explaining system topology to stakeholders or new engineers. It works best for single-region deployments or when showing the core topology before adding multi-region complexity. Avoid it if your focus is purely on application logic flow or database schema relationships.

Common mistakes

• Including too many unrelated services (monitoring, CI/CD pipelines, third-party APIs) on the same diagram, which obscures the core infrastructure and muddies the intended scope.
• Drawing all application servers as identical without indicating autoscaling groups, managed services, or the difference between stateless replicas and singleton components like admin dashboards.
• Omitting security group rules and network policies altogether, leaving viewers unclear about what traffic is allowed and unable to spot network misconfigurations or security gaps.

Adapting it to your system

Start by identifying your actual cloud provider (AWS, Azure, GCP) and use its native service names: EC2/ECS/Lambda instead of generic 'servers', RDS/DynamoDB instead of 'database', S3/Blob Storage instead of 'storage'. Draw your real subnet structure; if you use a VPC with public and private subnets, show both. Replace 'load balancer' with your actual service (ALB, NLB, Application Gateway). Add availability zones or regions if your infrastructure spans them. Include specific security group rules as annotations or a side table. Omit services not directly involved in the request-response path (monitoring, logging, CDN can be separate diagrams).