4 Ways Microservices Testing Strategies Can Help Enterprises
In the last few years, the business needs of organizations have caused a massive shift in enterprise service-based architectures. In the context of automated systems, software, IT infrastructure, design allied to dynamic, and other smaller services.
Microservices architecture has the potential to become a secure, fast, and commodity infrastructure design pattern for enterprises.
In fact, according to a recent study, 28% of companies are using microservices for the last three years, and 61% of companies are using microservices for over a year.
Because of the increasing complexities and threats in mobile apps, a Mobile App Development Company requires increased test coverage for the enterprise setting.
Microservices isn’t a new service-based architecture in the industry, yet, its evolution has brought many amazing benefits for enterprises seeking private cloud-based solutions, such as the capability breaking big apps into small parts in minutes, scaling and maintaining different components, composable services, and parallelizing the development processes across multiple teams.
Apart from that, the real challenge is in microservices testing that come with some difficulties due to their independent and distributed nature.
In this article, you’ll find various methodologies that can help your enterprise to overcome the challenges you’re facing while microservices testing multiple independently deployable components.
So, without further ado, let’s check out the 4 ways that can help your enterprise with microservices testing strategies.
4 Ways Microservices Testing Strategies
1. Unit Testing
The rising need for unit testing can be solitary or sociable concerning service. The smaller the unit, the easier it becomes to determine the behavior of modules, examine the collaborators, and interact between objects and their dependencies.
Since the cyclomatic complexity of the unit is lesser, Quality Analysis (QA) engineers can evaluate whether the units are isolated from their collaborators or not by using this unit testing strategy.
Both the solitary and sociable unit testing styles are often used simultaneously in the same codebase to solve different microservices testing issues.
2. Integration Testing
Integration testing is used to integrate individual services after analyzing the communication pathways functionalities and the interactions between them.
Unlike SOA or monolithic, microservices architecture rely on the Inter-Process Communication (IPC) mechanism to work properly, and that’s the reason why the interactions between the services must be verified.
3. Contract Testing
Contract testing is like a black box and works as a verifier. It verifies the contract between its API provider endpoint and an external service call. Contract testing is divided into two categories:
- Consumer contract testing
- Integration contract testing
As its name pretends, consumer contract testing allows consumers to define the way they want to consume a service. The consumer contracts can be created by a mutually consented language and a schema between the consumer and the producer.
The service providers will run a test against the replicas of the individual contracts. After that, the service provider will make changes to that particular service without affecting the nature of other services.
In integration contract testing, each component has to be called independently, and it must meet the requirements of the contract agreement anticipated by a consuming service.
The best and easiest way to deal with this is to conduct a test against the double. On a side note, it’s important to run a separate set of tests periodically to ensure that there are no changes or errors against your test doubles.
4. End-to-End Testing
End-to-End (E2E) microservices testing ensures that the overall system is working perfectly. Also, the network infrastructure (firewall, load balancers, and more) is correctly configured.
End-to-End tests need to be conducted at the finest coarse granularity possible to test the functionality properly. In this, Quality Analysis (QA) engineers verify the behavior of the integrated processes. They ensure that the system collectively meets its business requirements, regardless of the Service Component Architecture (SCA) in use.
With the help of functional microservices testing, developers or engineers can determine. If an app or the integrated system is properly functioning as stated in the requirements.
In the end, we would like to mention that this strategy can vary considerably depending on the other components of your architecture. You always map some breakpoints and risks of your architecture to create something effective and efficient for your context.
Anna Watson is a graduate of San Diego State University and a blogger online. She loves to write about tech, business, marketing, and many more. Follow her on LinkedIn and Twitter.