Kafka has become the central hub for event-driven applications in many organizations. As a result, testing requirements have evolved as well: it is no longer just about databases and APIs, but also about event flows, message content, and business states that are transported via Kafka. In day-to-day operations, the same
In the first part of this series, the focus was on the current challenges of test data management: functionally demanding requirements, distributed data landscapes, data
Fast pipelines, automated tests, and short release cycles are now standard in many development teams. For this speed to actually work in day-to-day practice, however,
Why Test Data Significantly Impacts the Validity of Software Tests In many development teams, a familiar pattern emerges: a pull request is cleanly reviewed, automated
For many large enterprises, the mainframe and z/OS platform have supported business-critical applications for decades, with large volumes of data stored in Db2, VSAM, or
Load management for test data In many organizations, the biggest peak load in test data management is not caused by individual ad-hoc requests, but by
Regulation Meets Reality – DORA as a Driver of Digital Resilience As digitalization in the financial sector continues to advance, risks arising from cyberattacks, system
