tl;dr A Kubernetes-native software engineering approach for the development of AI applications helps you increase developer productivity, optimize resource consumption as well as simplify operations. A hands-on demo of this approach can be seen here. Two-step development approach The usage of an AI/ML model in an application requires basically a two-step development approach. The first […]
I am a Specialist Solution Architect at Red Hat, focused on AppDev, DevOps & Cloud-Native. Having an education in physics and space engineering, I have more than 20 years of hands-on experience in software & systems engineering across multiple industries. These activities include software, database and algorithm development, computational modeling including high-performance computing as well as continuous software engineering using DevOps practices, spanning the entire software development life cycle from requirement analysis to operations. My current favorite talking points are all technical & cultural aspects of the DevOps principles as well as Kubernetes-based software engineering.