Context: DevOps, the combination of Development and Operations, is a new way of thinking
in the software engineering domain that recently received much attention. Given that …

Microservices have recently emerged as an architectural style, addressing how to build,
manage, and evolve architectures out of small, self-contained units. Particularly in the cloud …

Following continuous software engineering practices, there has been an increasing interest
in rapid deployment of machine learning (ML) features, called MLOps. In this paper, we …

This paper is an concentrated overview of the Machine Learning Operations (MLOps) area.
Our aim is to define the operation and the components of such systems by highlighting the …

Throughout its short history, software development has been characterized by harmful
disconnects between important activities such as planning, development and …

Over the past few decades, the substantial growth in enterprise-data availability and the
advancements in Artificial Intelligence (AI) have allowed companies to solve real-world …

The software intensive industry is moving towards the adoption of a value-driven and
adaptive real-time business paradigm. The traditional view of software as an item that …

Context: DevOps is a set of software development and operation practices and a recent
addition to a large family of different kinds of software process models. The model emerged …

Recently, Machine Learning (ML) has become a widely accepted method for significant
progress that is rapidly evolving. Since it employs computational methods to teach machines …

Technology management and a good relationship among employees are vital keys to
assure any digital transformation process. We may therefore rightly ask “What are the main …