The importance of API testing is greater than ever. As microservices architectures become more and more pervasive, the need will only continue to grow. But how can teams address the many challenges presented by API testing?

According to recent research shared by Forrester analyst Diego Lo Giudice, less than 25% of API tests are automated. As the number of required tests grows, what are techniques that teams can use to keep up? There are several avenues that teams should be leveraging to help them stay on top of the accuracy and performance of their microservices architectures:

- AI can help teams achieve much greater automation of API tests. We’ll present more on how AI delivers this benefit.
- Non-technical testers can be enabled to support API test automation, particularly in organizations where the developers aren’t responsible for test creation.
- Deeply complex API and microservices testing needs can be daunting, but the right tools and skills can help teams tackle this need as well.

Join us to learn how to update your API testing foundation for greater coverage and better results!
Kevin Parker
Vice President of Product, Appvance
Kevin Parker is the Vice President of Product at Appvance.ai. He is a 30-year industry veteran and the holder of four technology patents.

He specializes in the Digital Transformation of Business Systems through DevOps, Agile, Shift Left, software development, software testing, software release management, digital transformation, micro-services architectures, and web-services architectures.

In addition to Kevin working with Appvance customers to ensure their success, he has been crossing the globe working closely with analysts, the press, customers, partners, and employees to exchange ideas about industry direction and business issues.
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