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In the dynamic world of software development, managing and maintaining the state of an application poses significant challenges. Event sourcing, an innovative architectural pattern, steps in to revolutionize this process, which offers a robust foundation for understanding not only where the system stands, but also how it got there, significantly enhancing both transparency and traceability.

Deploying a Kubernetes on-prem cluster may pose challenges, but it grants complete control over hardware, allowing customization of infrastructure to specific needs. Data is stored securely within our organization's premises, eliminating recurring costs for the same resources. Additionally, the setup allows for performance optimization and avoids network overhead.

Reliability of a software product plays a crucial role in determining the success of a product and maximizing the return on investment. And achieving the highest possible reliability is a process that involves carefully balancing various factors, mainly time and cost. In this article, we will explore the QA process at Fidenz.

In the era of digitalization, the landscape of data has evolved dramatically. Initially used for monitoring and analysis, data quickly became a vital asset for real-time decision-making. As data volumes soared, the value of static information dwindled, while the significance of continuous data streams skyrocketed.

If you are capable of reading this piece of text, it is certain that you have passed your infancy. As someone who has come a long way from infancy, did you ever think of how you LEARNED to stand-up, walk, and basically avoid the dangers? If you start to deeply analyze the whole phenomenon behind your journey, you will realize that you LEARNED FROM EXPERIENCE with every passing moment of your life. Isn’t it beautiful how the experience allowed you to be yourself, and explore the world to be where you are now?

Deep Learning is an interesting and a unique field of study that has attracted the worldwide attention over the past few years at a rapid pace. The rate at which the digitalized systems have been generating data for over a decade, has become one of the major reasons for creating an abundance of data. As a result, the availability of data provided a brand new perspective for the researchers to look at Artificial Intelligence and its branches, in a different way.