Cloud Resource Topology
See Every Cloud Connection
Your Code Makes
Every service in your codebase connects to cloud resources, databases, queues, storage buckets, event buses. Most engineering teams have only a partial picture of those connections. Code Swan scans your source code to map all of them, across every cloud provider, without requiring any cloud account access.
What Is Cloud Resource Topology?
Cloud resource topology is a map of every cloud resource, databases, queues, storage buckets, caches, event buses, that a software system connects to, and which services are responsible for each connection. It answers a question that most engineering teams cannot fully answer today: what cloud infrastructure does our code actually depend on, and which services own each dependency?
For engineering leaders, this visibility is the foundation of reliable incident response, accurate cost attribution, and safe architecture change.
The Problem: Cloud Dependencies Are Buried in Code
As systems grow, cloud resource connections accumulate silently. A service adds a new queue consumer. Another starts writing to a shared database. A third references a bucket that belongs to a different team. None of this is captured anywhere except in the code itself, and the code is the last place most engineering managers look when tracing an incident.
Illustrative scenario
A platform team investigates a data consistency issue and discovers that four separate services are writing to the same database table, three of which were not known to the team that owns the table. The connection was added in a PR eight months ago and never surfaced in any review. Code Swan surfaces all four connections on its first scan.
How Code Swan Discovers Cloud Resource Connections
Code Swan uses static analysis of your source code. When code references a cloud resource, initialising a database client, publishing to a queue, reading from a storage bucket, subscribing to an event bus, Code Swan identifies that connection directly from the code. It does not require cloud account credentials, does not make calls to cloud provider APIs, and does not depend on infrastructure-as-code files being present or up to date.
Because the discovery is code-first and cloud-agnostic, it works across AWS, GCP, Azure, and any other provider your services reference, in the same scan, with the same output format.
What Your Team and Your AI Agents Get
Four outcomes from having cloud resource topology in your system intelligence.
Cloud-Agnostic, Code-First Discovery
Code Swan reads your source code, not your cloud account. It finds cloud resource connections regardless of provider, so the topology is accurate from day one without granting any cloud access.
Shared Resources and Hidden Dependencies Surfaced
When multiple services write to the same database or consume the same queue, Code Swan maps those shared connections. Hidden cross-service dependencies, the ones that cause cascading failures, become visible.
AI Agents That Understand Your Infrastructure
Because cloud resource connections are delivered into your AI tools via MCP, your agents can answer infrastructure questions directly: which services touch this database, what does this service write to, which cloud resources are shared across teams.
Always Current, Zero Maintenance
The topology is derived from code on every scan. When a service starts connecting to a new resource, the map updates automatically, no manual catalog entry, no diagram to redraw.
Frequently Asked Questions
What is cloud resource topology?
Cloud resource topology is a map of every cloud resource, databases, queues, storage buckets, event buses, caches, and similar infrastructure, that a software system connects to, and which services are responsible for each connection. It shows the relationship between application code and the cloud infrastructure it depends on.
How does Code Swan discover cloud resources without cloud credentials?
Code Swan uses static analysis of your source code. When code references a cloud resource, connecting to a database, publishing to a queue, reading from a storage bucket, Code Swan identifies that connection directly from the code. No cloud account access, no API calls to cloud providers, and no infrastructure-as-code files are required.
Is Code Swan specific to one cloud provider?
No. Because Code Swan reads source code rather than querying cloud provider APIs, it is cloud-agnostic. It discovers connections to resources across AWS, GCP, Azure, and any other provider your code references, in the same scan.
What types of cloud resources does Code Swan map?
Code Swan maps connections to relational databases, NoSQL stores, object storage buckets, message queues, event buses, caches, and other cloud-managed services referenced in your source code. The specific resources found depend on what your code connects to.
How do AI agents use the cloud resource topology?
Code Swan's MCP server delivers your cloud resource topology directly into AI coding assistants like Cursor, Claude, and GitHub Copilot. Engineers can ask their AI tools questions like 'what does this service write to?' or 'which services share this database?' and get answers grounded in your real codebase, not guesses.
What is the difference between cloud resource topology and infrastructure-as-code analysis?
Infrastructure-as-code analysis reads Terraform, CloudFormation, or similar files to understand declared resources. Code Swan reads application source code to understand which resources your services actually connect to at runtime. The two are complementary: IaC describes what exists, Code Swan describes what your code uses and how.
Ready to Map Your Cloud Connections?
One Code Swan scan gives your team, and your AI tools, a complete map of every cloud resource your code touches, across every provider, with no cloud access required.