This guest blog was written by Matt Turner from Moesif. Moesif provides insights and tooling for API product owners to activate, understand, and monetize customers.
QA automation is undergoing a period of anticipation, with generative AI and advanced technologies poised to transform testing processes. With a promise of heightened efficiency and broader test coverage in digital solutions, QA automation services have become necessary for organizations across industries. Therefore, CTOs and other executives are now discussing strategies to build in-house QA automation teams.
We released two big updates to our Sketches feature: a much improved UI and a dedicated link in the navigation bar. You can now visually convey your ideas, designs, and plans effortlessly.
Multiplayer brings every piece of the system design puzzle into a single platform. By integrating with GitHub, GitLab, and BitBucket repositories, we enable users to access, view, and (in the future) modify source code within the context of their platform's design.
API testing is the process of verifying that APIs are working and performing as expected. Developers and QA engineers test APIs by sending requests to various API endpoints and validating the responses against expected outcomes. The goal is to determine if the APIs meet the set standards for functionality, performance, scalability, and security. This process includes testing the “happy path” scenarios and negative cases to ensure proper security checks are in place.
Since HP ALM/Quality Center was acquired by Micro Focus (and now Open Text), users have been outgrowing its functionality. While HP upgraded many of its solutions to be more compatible with Agile and to support automation, ALM/Quality Center was left behind. What was once considered a best-in-class solution is becoming more obsolete by the day, having no resources allocated to development and limited support for customers. Today, there are better ALM options available.