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Create automated functional and performance tests for your microservices in the same way you would your API and other kinds of tests. Unlike other software, Parasoft SOAtest helps users understand the impact of changes and immediately resolve affected test cases or environments. Its tight integration with Parasoft Virtualize enables even novice users to leverage service virtualization to stabilize environments for successfully testing micro services.
For organizations looking to capture new market opportunities, teams can embrace microservices for continuously releasing individual components in their application, rather than having to release the entire application as a whole. Microservice architectures enable you to focus on how a particular service is deployed, helping you scale individual components of your application without affecting the application as a whole.
Parasoft provides a comprehensive solution for testing microservices, supporting all microservice protocols (i.e. HTTP(S), REST, RabbitMQ, MQTT, Kafka) and message formats (i.e. JSON, XML, protocol buffers), so you can fully test and isolate your microservices. Parasoft’s testing technologies also help you understand the impact of changes that microservices bring to your environment, while employing vital test automation that drives quality at speed.
Users can create automated tests for a variety of common microservices protocols (HTTP(S), REST, RabbitMQ, MQTT, Kafka, WebSocket) and message formats (JSON, XML, protocol buffers) using standard tooling in Parasoft SOAtest. SOAtest automatically understands which services to execute because it can consume the service contract and understand the endpoints and various payload structures. These test scenarios can then be efficiently leveraged within SOAtest’s load testing module, for load and performance testing.
To data-drive requests, SOAtest creates your test case and can leverage a wide variety of data sources (internal or external) to drive the data and validate the responses, simplifying the process of testing a wide variety of data inputs into your microservices.
In a reactive microservices architecture, it’s important to be able to push events to specific queues and validate that the microservices pick it up, operate on it appropriately, and push it to the correct queue or topic. Using Parasoft SOAtest, you can push specific messages onto the queues, using microservice-specific protocols and message formats.
SOAtest can also act as a consumer, waiting and listening to specific event streams, pulling off the messages, and validating their contents. Responses from a reactive microservice can be listened for and validated within the same test scenario. By doing so, SOAtest provides the critical isolation that’s required for microservice testing.
To solve the challenge of isolating individual components within an orchestrated microservices architecture, given the tightly-coupled nature of the services, to achieve a stable test environment, you can leverage service virtualization through SOAtest’s tight integration with Parasoft Virtualize. Use Virtualize in both orchestrated and reactive microservices to provide a mock service that can be used in place of the real service on-demand when your test scenario needs it, so you can focus on specific components and validate that their behavior is expected and predictable.
When a service is updated, a key component of testing is understanding the impact of change and reliably remediating affected services, both at a service level and environment level, where there’s a significant amount of disruption for both choreographed and orchestrated microservice architectures. Parasoft SOAtest’s Change Advisor helps users manage this disruption, enabling users to:
These capabilities help users significantly reduce the amount of time spent maintaining test artifacts. Additionally, Parasoft’s thin client interface for test orchestration provides unique visibility into the impact of changes, by providing visual representations of the environment, along with associated test cases that can predict and identify environmental change. With this insight, users can easily understand the relationship between different microservices, and how different services are impacted if an individual service goes away or fluctuates.