Systems | Development | Analytics | API | Testing

Discover how affordable performance testing is possible with traffic replay by simplifying the process and streamlining workflows.

The customer is one of the largest private-sector banks in India that has been leading the way in innovation and customer service. With a network of over 5,500 branches and 15,000 ATMs across the country, this bank offers a range of financial products and services to its customers, including personal banking, corporate banking, wealth management, insurance, and investment banking.

With digital technologies transforming industries, companies adopt Agile and other practices to gain a competitive advantage. DevOps is one such method that has changed software development as we know it. The new-age approach helps accelerate productivity and also enables better collaboration between the development and operation teams. But the biggest benefit of adopting DevOps is faster time-to-market. It has helped around 83% of organizations unlock business value and deliver customer value faster.

In this blog post, we will run JMeter tests from code. First we will look at how we can create an IntelliJ project in Java to build a JMeter performance test. Once you understand how JMeter tests in code can be written you can start to build tests in your development code base to compliment unit tests or functional tests written by developers during the creation of application and services.

Traditionally, manual test management and automated testing generate independent quality reporting data that has to be either manually integrated in spreadsheets or programmatically via scripts and reporting tools. This process takes valuable QA time away from actual testing and can also create inconsistency and inaccuracy when reporting on release readiness due to both the lag time in combining data from both sources and general human error.

Ready for your monthly debrief? We've got Appium 2.0 on virtual devices, error and crash reporting on real devices, and much more exciting news to share.

Following is a transcription of the AMA session with Rahul Parwal on the topic – Bug Advocacy. Here Rahul brings forth the importance of bug advocacy, its step-by-step implementation, and tips on making this process easier. We recently launched a course on Bug Advocacy instructed by Rahul Parwal. You can check the course out from our courses section.

Model-based test automation and record and playback — have you heard these buzz phrases before in the world of software testing? They’re two similar approaches to testing, yet they’re vastly different in their execution. But what exactly is the difference between these two techniques and why does it matter?

Visual regression testing is a type of regression testing to ensure that no changes to the program adversely affect the Graphical User Interface (GUI). It is also referred to as visual validation testing. Instead of focusing on the functionality of the software, it aims to validate the software’s aesthetic side. Visual regression testing verifies that all visual elements are displayed properly across all available browsers, devices, and platforms.