Structuring Your AsyncAPI Definitions: Strategies for Organization and Reuse
As event-driven architectures (EDAs) and asynchronous communication patterns become more prevalent, managing the complexity of defining these interactions is crucial. AsyncAPI has emerged as the industry standard for describing asynchronous APIs, but as specifications grow, keeping them organized, maintainable, and reusable becomes a significant challenge.
This article explores strategies for structuring your AsyncAPI files effectively, leveraging the $ref mechanism, addressing common hurdles, particularly around referencing shared and protected components, and utilizing GitOps practices for robust management.
The Core Principle: Reuse with $ref
At the heart of organizing AsyncAPI documents lies the $ref keyword. Borrowed from JSON Schema, $ref allows you to define a piece of information once and reference it from multiple places within your AsyncAPI document or even from other documents entirely. This is fundamental for avoiding duplication and ensuring consistency. You can reference components defined within the same file (e.g., #/components/messages/UserSignedUp) or, more powerfully for organization, components defined in external files or URLs.
What Should You Extract and Reference?
Not all parts of an AsyncAPI document are equally good candidates for extraction into separate, reusable files.
High-Confidence Candidates for Extraction: These components are often shared across multiple services or applications, making them ideal for defining once and referencing everywhere:
Potential Candidates (Context-Dependent): Extracting these depends more on your specific architecture and team practices:
Referencing Strategies: Local Files vs. Remote URLs
You have two main options when using $ref with external resources:
Local Filesystem Paths: These use relative or absolute paths on the local machine (e.g., $ref: './shared/schemas/user.yaml').
Remote URLs: These point to resources hosted online (e.g., $ref: 'https://schemas.mycompany.com/user/v1.yaml').
Handling Protected Resources via $ref
Referencing protected resources via URLs presents challenges because standard $ref resolution primarily supports publicly accessible URLs or Basic Authentication. Never hardcode credentials in $ref URLs (e.g., https://user:password@...). Here are current workarounds:
Where and How to Store Reusable Components: Git-Based Strategies
Choosing where to store extracted components and how to manage changes is crucial. Using Git provides a robust foundation. Here are common repository strategies:
Referencing Best Practices with Git URLs
How you structure $ref URLs pointing to files in Git is critical for stability:
Leveraging GitOps for AsyncAPI Component Management
Using Git repositories for shared AsyncAPI components naturally enables GitOps practices:
Treating AsyncAPI components as code within a GitOps workflow brings consistency, traceability, and control.
A Note on Developer Experience (DX)
Implementing robust repository strategies, GitOps workflows, and handling authenticated $ref resolution requires effort. Some solutions discussed are workarounds for current tooling limitations. The goal is to provide practical ways to unblock developers today, enabling scalable management while the community works on improving the overall DX.
Conclusion
Effectively organizing your AsyncAPI documents is essential for building maintainable, scalable, and consistent event-driven systems. Leverage the $ref mechanism strategically, extract reusable components, and choose appropriate storage methods like Git repositories. Use secure, immutable Git commit URLs for stable references.
Adopting GitOps practices further enhances collaboration, governance, and automation for these components. While challenges remain, particularly around authenticated references and developer experience, these strategies provide a solid foundation for managing your AsyncAPI landscape effectively.
Investing in thoughtful organization upfront pays dividends as your asynchronous architecture grows.
Founder | Fractional CTO | O'Reilly author | JSON Schema TSC | Award-winning University of Oxford alumnus
3moThis is the key, yet vast majority of users don't do it. What I love about this is that once you decouple your schemas from the API specification wrapper, you suddenly have access to a much wider range of advanced JSON Schema tooling. For example, one of the main things I help people with is, once they extract their schemas, to actually unit test them! (using my JSON Schema CLI: https://github.com/sourcemeta/jsonschema). You would be surprised by how many schemas are out there embedded in API specifications that looks OK but have lots of subtle issues in them.