Delivering Accelerated Development & Testing
With Service Virtualization

Service virtualization is a method of emulating the behavior of system dependencies during the testing and development of modern cloud-based, service-oriented, or microservice architectures. It allows development and testing teams to work on systems that may require specific services that are unavailable or difficult-to-access before it's deployed to production. With the behavior of the dependent components "virtualized", testing and development can proceed earlier in the process, without accessing the actual live components.

Democratizing Service Virtualization for True Continuous Testing

Software teams today are working in concert on highly dependent systems, pushing code to production rapidly - reducing timelines from weeks or months to just hours or days. Complicating this is the complexity of modern software which makes automated testing highly dependent on unavailable or difficult-to-access services. To prevent these unavailable dependencies from slowing our testing down, service virtualization aims to simulate their use in our system for 100% availability and configuration.

Service virtualization can all but remove that bottleneck and allow full-sytstem testing almost immediately. By putting virtualization into the hands of everyone, we can quickly mirror API definitions, unavailable internal services, or expensive third-party APIs.

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When To Virtualize Your APIs and Services

API Is Not Yet Completed

Before your API is even deployed, virtualize a defintion like OAS or WADL to create a living, breathing API in minutes.

API Is Unavailable For Testing

If a database is often reset, changed, or unavailable, testing or development can be slowed.

API Is Out Of Your Control

It can difficult to access data of third-party services to test failure states, edge-cases, and other scenarios.

API Is Expensive To Test

APIs are often rate limited or expensive to call during test runs - virtualization eliminates that cost.

API Can't Be Load Tested

Load testing APIs are often an impossibility due to cost, reduced performance, and hard to replicate scenarios.

The Benefits Of Service Virtualization

Enable Continuous Deployment

Continuous deployment requires constant testing against highly available systems, at all points in the delivery pipeline. Service virtualization ensures that all systems are ready to test at all times.

Reduce Testing Delays

Complex systems and third-party cloud services can seriously hinder testing teams trying to move fast. Run integration, end-to-end, and performance tests earlier in the pipeline with Service Virtualization.

Enable Parallel Development

Definition-driven API development allows testers and developers to work on the same system in parallel. Virtualize a definition like OAS and allow teams to work in tandem - drastically accelerating release velocity.

Reduce Testing Costs

With service virtualization, you can reduce third-party costs or rate limits, or expensive internal services allowing you to test early and often with incurring massive capital costs.

Ready To Start Virtualizing Your System Dependencies And Accelerate Development?

More Helpful Service Virtualization Resources

Accelerating Swagger Design With Virtualization

During and after design and documentation, virtualization helps you create prototypes and achieve coverage for all your scenarios during testing and development.

Eliminating Dependencies in Your UI Testing

To decrease delays and allow UI testing to happen all the time, we can introduce service virtualization into your SDLC for a few positive impacts.

Getting Started with Service Virtualization in ServiceV Pro

This 2 minute tutorial shows how easy it is to create your first virtualized API ServiceV Pro.