When to Use Service Testing?

Updated 4 weeks ago by Rahul Lahiri

When to use service testing?

Service testing is most valuable when any one or more of the following conditions apply:

  • Your application has more than a handful of services
  • The services are evolving fast
  • You want to release services independently
  • The service dependency graph is dense on either the consumer or producer side

Advantages of service testing include:

  • Shift integration testing left
  • Problems can be identified before submitting your code
  • You do not need to wait for E2E regression tests to validate existing functionality
  • Enables independent release of services
  • Testing complexity is lower than E2E tests

When service testing may not add value?

Service testing may not be appropriate in the following situation:

  • For applications that are functionally like monoliths, with a main service, and a few peripheral services that are not used extensively. For these applications, end-to-end API testing may be a better test strategy than service testing, and API Studio's end-to-end testing capabilities are better suited for these applications.
  • If you cannot control the state your service depends on to generate predictable responses.

When to use API Studio?

API Studio currently supports the following use cases:

  • The application uses REST or gRPC protocols
  • You need functional validation of APIs beyond just contract testing

Additional requirements include:

  • Mock data can be stored in Mesh Dynamics cloud storage
  • The service being developed must be running locally, either in your IDE or in a container. Producer services could be running either in a cluster or locally.


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