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Architecture Documentation
Document your software architecture with a tool designed specifically for software primitives. Bring all your architecture artifacts into one place, version them with Git, and make them discoverable for humans and AI.
The problem
Most teams document their software architectures using generic tools that were never designed for this purpose. Your service definitions live in Confluence. Your event schemas sit in a wiki. Your domain boundaries exist as diagrams scattered across Google Slides. Your business flows are documented in Miro boards. Team ownership information hides in spreadsheets or only exists as tribal knowledge.
These tools are not built around software architecture primitives. They do not understand what a service is, what an event represents, or how domains relate to each other. They cannot show you the relationships between your components. They cannot help you navigate from a high-level domain view down to individual message schemas. They were designed for general documentation, not for the specific needs of documenting software systems.
The result is fragmentation and decay. Documentation lives everywhere and nowhere. Developers cannot find what they need. New team members struggle to understand how systems connect. Architects lose track of the bigger picture as the system grows. The documentation that does exist becomes outdated because updating it means editing multiple tools, none of which make it easy to maintain technical content. Eventually, teams stop documenting altogether because the tools fight against them rather than supporting their workflow.
You need a tool that understands software architecture. One that treats services, events, commands, queries, domains, and flows as first-class citizens. One that helps you visualize relationships and navigate your architecture at any level of detail. One that makes documentation discoverable for both humans trying to understand the system and AI tools trying to assist with development.
The solution
EventCatalog is purpose-built for documenting software architectures. It provides an opinionated structure based on the primitives that make up modern distributed systems. Services, events, commands, queries, domains, flows, and channels all have dedicated documentation patterns that reflect how these components actually work in your system.
The tool is technology-agnostic, focusing on architectural patterns rather than implementation details. Whether you use Kafka, SQS, SNS, RabbitMQ, or any other messaging technology, EventCatalog lets you document how messages flow through your system. Whether your services are built with Node.js, Java, Python, or Go, the documentation focuses on what those services do and how they interact, not the technical stack underneath.
Everything in EventCatalog is stored as Markdown files in your own Git repository. You control your data. You own your documentation. The information lives alongside your code, versioned with the same tools your team already uses. This means your architecture documentation gets the same benefits as your codebase: version history, pull request workflows, branch management, and an audit trail of every change.
Git is not just for version control. It becomes your audit trail. Every change to your architecture documentation is tracked. Who added this service? When did this domain get introduced? What version of this event schema was in use six months ago? The answers live in your Git history, giving you a complete evolutionary story of your architecture over time.
Built for discovery and navigation
EventCatalog is designed around discoverability. Start at a high level by exploring domains and subdomains to understand your business boundaries. Drill down into the services within those domains to see what responsibilities they handle. Navigate to the events those services produce and consume to understand integration patterns. Follow relationships to see which other services depend on those events. Move between flows to understand business processes that span multiple services.
The navigation style supports both breadth and depth. Architects can stay at the domain level to see the big picture. Product managers can explore events to find opportunities in the architecture. Developers can dive deep into service schemas to understand implementation details. Analysts can trace flows to document data contracts and understand how information moves through the system.
Automated node graphs and Mermaid diagrams visualize the relationships between components. See which services produce and consume specific events. Understand domain boundaries and how integration events cross those boundaries. Trace the path of a business flow as it touches different services and generates various events. These visualizations are not static diagrams that become outdated. They are generated from your documentation, staying synchronized with your architecture as it evolves.
The search functionality lets you find components quickly. Looking for a specific event? Search for it and see its producers, consumers, schema, and version history. Need to understand what a domain contains? Search for the domain and explore its services, events, and subdomains. Trying to find who owns a particular service? Search and see team ownership, contact information, and related components.
Documentation that grows with you
Teams typically start small. Document a few events. Add one or two services. Define a domain or two. As you document, you see the value. The information becomes useful. Team members start referencing EventCatalog instead of asking in Slack. New developers use it for onboarding. Architects use it to plan changes. The return on investment becomes clear.
From there, EventCatalog grows with your needs. Add more services as they are built. Document new events as they are introduced. Capture business flows to explain complex processes. Define channels to show how messages are transported. Bring in team ownership information so everyone knows who maintains what. Add ubiquitous language terms to build a shared vocabulary across your organization.
The tool scales from a handful of components to hundreds or thousands. Set up CI/CD pipelines to automate documentation updates. Write custom plugins to generate documentation from your existing tools and schemas. Create workflows that keep documentation synchronized with code. Self-host it within your infrastructure to maintain complete control over your data and access patterns.
Because EventCatalog is powered by Markdown, extending it is straightforward. Add custom fields to capture information specific to your organization. Include code examples, runbooks, or architecture decision records alongside your component documentation. Embed images, diagrams, or videos to enhance understanding. The format is flexible enough to adapt to your needs while remaining structured enough to provide consistency.
For humans and AI
Modern development increasingly involves AI assistants. Developers use AI to write code, understand systems, and plan changes. These tools need context. They need to understand your architecture, your domain language, your service boundaries, and your organizational patterns. Without that context, AI generates generic advice that does not align with your actual system.
EventCatalog provides the foundational context that makes AI tools genuinely useful. The built-in Model Context Protocol (MCP) server exposes your architecture documentation to any compatible AI assistant. Connect your IDE, chat interface, or custom tools, and give AI direct access to your living documentation.
Ask questions in natural language and get accurate answers based on your actual architecture. What events do we have? What services produce this event? Who owns this domain? Which teams should I coordinate with for this change? The AI understands your system because your documentation is structured, discoverable, and maintained.
The same documentation that helps your human team members onboard, plan changes, and understand impacts also powers your AI tools. Document once, benefit twice. The Markdown format that makes documentation maintainable also makes it machine-readable. The relationships you define to help humans navigate your architecture become the knowledge graph that helps AI reason about your system.
How this can help you
EventCatalog solves the fragmentation problem that plagues software architecture documentation. Instead of scattered artifacts across multiple generic tools, you have a single source of truth designed specifically for architectural primitives. Your team knows where to look. Your documentation stays synchronized. Your architecture becomes discoverable rather than hidden in tribal knowledge.
Developers find the information they need without asking around or digging through outdated wikis. Architects maintain visibility into the bigger picture as the system scales. Product managers explore opportunities by understanding which events and services exist. Analysts document flows and data contracts using the same tool engineers use for technical specifications. New team members onboard faster because the documentation is structured around the components they need to understand.
The Git-based approach means your documentation benefits from the workflows your team already knows. Pull requests for documentation changes. Code reviews to ensure accuracy. Branch management to experiment with documentation approaches. Merge conflicts that force conversations when multiple people update the same component. The same collaboration patterns that work for code now work for architecture documentation.
Versioning everything provides the historical context that matters for evolving architectures. Understand what changed and when. Track how domains evolved over time. See which version of a service introduced a particular event. Reference old schemas when debugging legacy systems. The evolutionary story of your architecture lives in Git, giving you a complete audit trail.
For distributed teams working across time zones and business units, EventCatalog becomes the shared understanding that makes coordination possible. Teams in different regions see how their services integrate with others. Data teams understand which application services produce events they depend on. Platform teams visualize the bigger picture across all domains and services. The documentation creates alignment without requiring everyone to be in the same room or even the same time zone.
As your organization adopts AI tools, EventCatalog ensures those tools have the context they need. Your documentation investment pays double returns, helping both humans and machines understand your architecture. The structured, discoverable format that makes navigation easy for developers also makes reasoning easy for AI.
Ultimately, EventCatalog helps you maintain the understanding of your architecture as it grows. Small systems are easy to keep in your head. Large systems require documentation. But that documentation only helps if it is maintained, discoverable, and designed for the specific needs of software architecture. EventCatalog provides the foundation that scales with your system, keeping your team aligned and your architecture understandable.
Ready to try it?
Get started with EventCatalog and bring your architecture documentation into one place.