Systems | Development | Analytics | API | Testing

APIs have become the center of software development, connecting and transferring data across systems and applications. Luckily, testing them can greatly improve the efficiency of your test strategy as a whole, helping you deliver software faster than ever. API testing is an essential part of the software development process, and it’s important to have a team that can work together to create accurate and efficient tests.

A quick internet search provides examples of marketing, brand, and UX issues when localization testing is treated as an afterthought. Clairol marketed a curling iron as a “mist stick,” even though mist is slang for manure in German. Colgate offered a toothpaste in France named “Cue.” Alas, that was also the name of a French adult magazine. UI in America is radically different than UI in Germany – something XBOX learned when releasing a new German dashboard that drew outrage.

Salesforce is one of the most popular CRM applications globally, used by thousands organizations across all industries and segments. It enables organizations to manage their customer and revenue focused business processes, functions, and data in a central location, thereby improving planning, customer satisfaction, and overall business performance.

Integration Testing (or I&T: Integration & Testing) is a type of software testing in which various units, modules, and components of the software are integrated and tested as a cohesive unit. With Integration Testing, testers want to find defects that surface due to code conflicts between software components when they work together. This level of testing is higher than unit testing, which only validates if software components function well as a single unit.

Katalon’s January release adds Robot Framework integration with Katalon’s AI-enabled Visual Testing. We have also updated our API documentation for those teams needing to create their own custom integrations to the Katalon Platform via API’s.

Testing Kubernetes Ingress resources can be tricky, and can lead to frustration when bugs pop up in production that weren’t caught during testing. This can happen for a variety of reasons, but with Ingress specifically, it often has to do with a misalignment between the data used in testing and the traffic generated in production. Tools like Postman can be a great way of generating traffic, but they have the drawback of being manually created.

It’s remarkable how many systems can manage unexpected performance demand, scaling resources and continuing operations. Yet truly unexpected demand can still apply enough stress to a system that it crashes. Here, we’re going to examine two failures that resulted from a single corporate controversy.