Adopting DataOps for Agile Data Management Processes
As businesses become AI-ready, efficient data management has acquired an unprecedented role in ensuring their success. Bottlenecks in the data pipeline can cause massive revenue loss while having a negative impact on reputation and brand value. Consequently, there’s a growing need for agility and resilience in data preparation, analysis, and implementation.
API Service Testing in Mobile Apps
Back then, testers were dependent on the waterfall method to engage application testing, but Agile followed API testing changed the game by eliminating many road-blocks in a testing phase and facilitated design teams, development teams, and database teams to contribute their part in Quality Assurance of the application. Testers then started defining Service and App testing to minimize the investment cost, which in turn helped them to keep the defects rate at a minimum level.
Fail Faster: The Value of Automated UI Testing
My technical comrades and I aren’t known for loving fluff. For me, business always been about function over form—quality of product over fanciness of packaging. But in the world of application development, the two have become so intertwined as to be indistinguishable. In fact, in many industries, the User Interface (UI) layer of an application is the only part of a company that customers interact with. From customer support and administrative tasks to the actual purchase and usage, product and package are one and the same. If code breaks on the front end of your app, it doesn’t matter how well it’s supposed to function, because the user will never be able to use that function. That’s why I’m surprised more companies aren’t automating testing at the UI layer.
How traditional test plans are replaced with Agile testing activities?
The Software Development life cycle is witnessing an enormous change due to the introduction of new methods and approaches in developing the software. The way the testing process has been executed over the years has found a new approach in the form of agile methodology. The rapid growth of the test and QA industry is introducing unique solutions to minimize the complexity of the work process. If these solutions continue to accelerate a predictable future with consistency in pace and scope for the problem-solving approaches in the software development life cycle, chances are that traditional test planning can be soon replaced by agile testing activities.