There is a saying that goes, 'You can't manage what you can't measure.' In software development, the true measure of effectiveness doesn't lie solely in the lines of code written or the frequency of commits; it's found in the rate at which you deliver tangible value to your users. The ability to consistently provide value to users, promptly respond to their needs, and transform these into functional features is the ultimate gauge of success. In essence, it's not about how frequently you change the code; it's about how often you can positively impact and delight your users with meaningful updates and enhancements.

When comparing DataOps and DevOps for practical digital transformation, it's essential to recognize that they serve distinct purposes. DevOps has significantly revolutionized software delivery for companies, while DataOps is transforming data utilization. Rather than debating which approach is better, the more pertinent question is: How can I harness both DevOps and DataOps to amplify the value I provide to my customers?

Artificial Intelligence augments testing to be zero-touch and autonomous

While DevOps and “continuous everywhere” transformation requires the ability to assess risks with every “sprint”, with speed and quality, testing on the other side has become the bottleneck to taking full advantage of more Agile methods to software development.

With application environments becoming more complex, integrating a robust messaging platform into your QA and DevOps lifecycle, will accelerate software development, testing, delivery and operations. It offers teams the opportunity to get real-time decisions on every stage, from development to release, based on live comparison and insights. This way collaboration regarding the overall project plan and the overall project efficiency is getting improved and the integration testing phase of your projects is simplified and de-risked with less effort.

Artificial Intelligence has gradually made its way into every industry and is shaping the future. As we now live in the era of digital transformation, testing needs to be transformed to keep up with the latest trends and inevitably move towards greater automation. The future of automation is Artificial Intelligence (AI) and Machine Learning (ML).

With Validata Sense.ai we have extended our Analytics functionality so clients are now able to centrally analyse and monitor their testing efforts and progress leveraging AI and machine learning.

PSD2 (Revised Payment Service Directive) is an EU legislation that enables bank customers, both consumers and businesses, to use 3rd party providers to manage their finances. The aim is to better protect consumers when they pay online, promote the development and use of innovative online and mobile payments such as through open banking, and make cross-border European payment services safer.

One of the key challenges in deploying DevOps is test data management, as in DevOps the need for data grows significantly. With more and more Temenos core banking clients turning to Continuous Delivery and DevOps practices, rigorous and agile testing is essential to releasing quality software. To do this you need quality data, and in most cases project delays occur because testers lack access to the data they need, when they need it.

Service Virtualization uses virtual set-up to address the challenges of Service-oriented Architecture (SOA) testing strategies and at the same time, if it is implemented effectively, it can accelerate the testing and development process within an organisation.

The demands in software business have reached a point where only pure innovative and agile practices that embrace digital transformation can bring benefits to organizations. However, most current software delivery practices aren’t aligned with the new standards and the long duration of delivery cycles affect the quality of the product and the time of release. Agile teams may have shortened development cycles but only DevOps practices can bring development and operation teams closer together and facilitate collaboration, in order to deliver a good quality software product faster.