From our partners at SmartBear
As APIs become increasingly prevalent in digital systems, software teams look to speed their delivery process using virtualized versions of their APIs to simplify timing and resource logistics.
Traditionally, using virtual APIs has required teams to set up an enterprise service virtualization solution. These solutions required teams to stand up a full-stack of resources, training, and management. The total cost of ownership over an enterprise service virtualization solution, typically in the range of $50,000 – $200,000, includes:
Delays in budgeting and purchasing such a costly solution prevent teams from being efficient in their projects long after the need for service virtualization is realized.
Many teams do not require mainframe or database level virtualization. For these teams, virtualization of specifically API dependencies (aka. “API virtualization”) is a significantly more affordable alternative to full-stack enterprise service virtualization.
API virtualization is a ground-up attitude to mimicking system behaviors and does not assume that an entire environment is required in order to simulate realistic behavior, just what is necessary.
With API virtualization, front-end designers, testers, and system integrators can begin their work as soon as developers produce an initial specification (WSDL, RAML, Swagger, etc.) early on in the design process.
If you’re already relying on, or evaluating an enterprise service virtualization solution, it’s clear to see the cost-saving benefits of using an API virtualization toolinstead.
But there are other benefits that will continue to payoff for your team after the tool is implemented.
You’ll have the best results when selecting an API virtualization tool that fits in with your existing systems and processes. When SmartBear surveyed more than 2,300 software professionals that work with APIs as part of the State of API 2016 Report, we found that integration with existing tools and systems was the #1 factor teams consider when implementing an API tool.
Some of the questions you can ask when evaluating whether or not the tool will work with your existing systems and processes, include:
The big question still remains: How do you implement an API virtualization program that delivers results? That is the question we plan to answer in our upcoming webinar: Build APIs Better, Faster, Stronger: 3 Real-World Examples of API Virtualization in Action.
This webinar will cover three practical examples of virtualization in action. We’ll cover:
We’re offering two sessions of the webinar on Tuesday, June 14 at 10am and 2pm.
Reserve your spot.