The third wave of test automation brings about more concepts in software delivery – one of which is ‘continuous testing.’ However, mastering continuous testing is difficult; choosing the right continuous testing tool is even more overwhelming.

It’s no secret that, despite the huge movement toward sustainable living, we just can’t live without some things being instant. One such crutch for students worldwide and most of Asia’s young adult population (also the entire American prison system) are the ubiquitous instant noodles. 100 billion servings are eaten every year. It’s convenience in a cup.

By the September deadline, Europe’s banks and fintech companies should be compliant with the Second Payment Services Directive (PSD2). Rather than focusing inwards on business operations, PSD2 is an outward-looking directive. It encourages open access and competition in the banking industry. Organisations across the breadth of the industry are required to open their payments infrastructures and customer data to third parties.

We’ve entered the era of the information economy, where data has become the most critical asset of every organization. To support business objectives such as revenue growth, profitability, and customer satisfaction, organizations are increasingly reliant on data to make decisions and drive their operations.

Recently I was in the US and people were just blown away when I told them about the success of our business in Japan. Our Japanese business grew nearly 40% last year and this year is shaping up to be great as well, but it’s not something that has happened overnight. The reality is that it’s tough to do business in Japan and it’s taken us over four years to get it right.

Introduction We are going to talk about data in this blog post, predominately test data required for performance testing. This is something that makes the life of a performance tester extremely difficult and awkward as because of the huge quantities required, in the right state, that match the criteria required for your test to run. We often have to approach the use of large quantities data for the purpose of performance testing in a number of ways.