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Service virtualization is a function of software testing that can emulate an application’s dependencies. It allows DevOps teams to use computer-generated virtual services in place of real ones so they can test often, test early, and lower costs in various situations. These include key parts of the distributed system that are missing: for example, when dependent components are inaccessible, scaling training environments, and building partner onboarding scenarios.
Using virtual services for testing purposes is more cost effective than using production environments for those purposes. API testing with endpoint simulation eliminates the chances of losing data, avoids using the expensive servers the actual program needs to operate and allows the company to forgo excess license fees. This results in fast, accurate, and less cumbersome testing procedures.
Integrate service virtualization into automated testing practices for the continuous integration testing that DevOps workflows demand.
To realize the benefits from Agile and DevOps initiatives, teams need instant access to their test environment, free of constraints. By applying service virtualization in testing environments, organizations can reduce or eliminate the dependence on unavailable, unstable, or costly dependencies, such as third-party services, databases, and mainframes.
There are several areas that can leverage service virtualization to improve productivity.
Most businesses store data in many different locations, anywhere from hardware on their premises to the cloud. This information is adapted from multiple applications and file formats. Service virtualization allows any application to access relevant data regardless of format, source, or location.
Service virtualization in this case is a software layer between applications that accesses storage systems and the data in them. The layer interprets an app’s query or data request as required and provides results that cover multiple systems.
Note: Manufacturing test data can be difficult because of all the software components that rely on its validity. Once test data is consumed it cannot be reused again until the system state is reverted. With service virtualization, virtual test data can be “grown” based on a small sample and inferred constraints. This data can be reused and regenerated on demand.
To begin, it’s best to discuss with a Parasoft professional how to match your business’s needs with the service virtualization expertise Parasoft has to offer. After determining your needs, we assign a service virtualization team to address those needs. The team works with your company to develop an overall plan and best approach that includes test cases to obtain the data needed to solve problems before they happen, which is one of the main benefits of service virtualization.
Want to learn more? Read our helpful guide to find your team’s ideal service virtualization starting point and identify the best deployment model for your requirements. And check out our deployment options.
Make continuous testing easier and faster with service virtualization. Parasoft’s service virtualization platform empowers the developer or tester to weave automated testing early into software development while delivering virtual and stable services as and when needed.
Easily scale from a single user to a full DevOps deployment across teams. Reduce software development and testing overhead by building integrations earlier and stabilizing dependencies.
Avoid the overhead of testing with production environments. Simulate services that are otherwise inaccessible or unstable in Agile DevOps environments.
Some organizations don’t, especially if they are not under heavy deadline pressures or if they already have access to comprehensive test environments. But large companies that have complex systems working interdependently can realize major benefits, such as:
Service virtualization goes beyond stubs and mocks by creating a more complete simulation of services and APIs. Stubs are only small system routines that don’t involve the entire program. Mocks mimic actual code but not the entire program. Service virtualization on the other hand provides the ability to test an application end-to-end. It also has the pluses of simulating real behavior, not using real data and large amounts of server space, and yet obtaining thorough information that helps avoid failures and bugs.
Service virtualization testing tools provide realistic simulated responses for all systems that have a normal or customized protocol involving communication and messaging. These include large ERPs like SAP, mainframes, databases, mobile networks, UIs, and third-party apps, to name a few.