This is the second in a series on the perils of microservices. Check out Microservices: The Version Problem too.
Microservice A needs to talk to microservice B. B provides an API of some sort. A uses the API to contact B.
These microservices have entered into an API contract. Since A relies on B, anytime B changes its API, A must be notified and updated. This contractual dependency is usually undocumented not statically verified. That means that in any real system, the contract can and will be broken, especially as the number of contracts in a system increases at a large rate.
TLDR; Use schema libraries to get easy-to-use code-as-documentation and static verification of your interservice APIs.
Let’s take a look at public APIs, such as Stripe’s:
- It is extremely well documented.
- It has a well-designed REST-based API.
- It has client libraries that can be included in your code to statically verify the API usage.
- It never breaks a contract because you can use any API version back to 2011.
This is the huge amount of work that Stripe has put in to ensure their API never breaks its contract, and your use of their API will be as correct as possible.
Most internal APIs between microservices are not so lucky. In the organizations I’ve been in, you’re lucky to find old documentation for an API in a README. Changes are rarely documented. Most of the time, theres no way to verify one service is calling the other one correctly. Furthermore, when multiple authors create multiple APIs for a system, they tend to have core differences in their operation, which hurts the system’s consistency.
Back in the day (i.e. 3 years ago), everyone was into Remote Procedure Call (RPC). Protobufs was all the rage, but Thrift came with an RPC implementation by default. These systems required that you document your APIs, and then RPC code could be generated. This code made it seem that a local function call was local, when in fact, it was remote.
Everyone now agrees that hiding the behavior of your functions is a bad idea, but I think there is something lost by completely abandoning the practice of documenting the APIs. The code-as-documentation and validation factor cannot be undersold.
I believe the solution to these problems, strongly influenced by RPC, is API call schema validation. By documenting your APIs with schema, you get many benefits that Public APIs enjoy.:
- Schema helps document your inter-service APIs, and acts as code-as-documentation
- By keeping all the schema in one place, you can compare APIs to make them more consistent, and perhaps better designed.
- Schema gives you static analysis tools to ensure that API contracts aren’t broken (as long as the Version Problem doesn’t bite you)
Take each interservice API and document its types and actions. This schema should live either in your monolithic repository or in a new repository if using polyrepo organization. Include and use it for validation and documentation of both the API producer and consumer. It could be JSON schema, Swagger, Clojure’s Prismatic Schema library, or any other schema validation library.