The development of server-side web applications has changed greatly since Docker’s debut. Thanks to Docker, it’s now easier to construct scalable and manageable applications built of microservices. To help you understand what microservices are and how Docker helps implement them, let’s start with a plausible example. Imagine you have a…

Organizations that adopt artificial intelligence (AI) in testing of microservices-based applications gain better accuracy, faster results, and greater operational efficiency. AI and machine-learning technologies have matured over the last few years, and today their application in automated testing can help in more ways than one. …

Organizations that adopt artificial intelligence (AI) in testing of microservices-based applications gain better accuracy, faster results, and greater operational efficiency. AI and machine-learning technologies have matured over the last few years, and today their application in automated testing can help in more ways than one. …

How containers and microservices enable devops Born out of open source collaboration, Docker helped revolutionize the software development world. By encasing software in shells of code called containers which included all the resources the software would need to run on a server — tools, runtime, system libraries, etc — the software can perform the same way…

Artificial Intelligence (AI) and Machine Learning (ML) have already demonstrated extensive possibilities for organizations to improve operations and maximize their revenues. While businesses these days face enormous problems, there are a variety of machine learning models used to solve these problems. Some algorithms are better at addressing certain sorts of…