DevOps

The study aims to justify and test an approach to the automated conceptualization of the DevOps subject area using large language models. This paper explores the potential applications of LLMs in concept classification, ontology construction, and configuration structure explanation. Additionally, it analyzes the models' capabilities in supporting the training and auditing of DevOps processes. The research methodology consists of four stages. First, an initial set of DevOps concepts was generated using an LLM.

Modern organizations increasingly integrate public cloud platforms such as AWS, Azure, and Google Cloud Platform into their infrastructure to enhance flexibility and scalability. However, multi- cloud environments introduce new cybersecurity challenges. Human factors and careless handling of access parameters to cloud resources can create serious threats. In particular, if an attacker gains access to authorization keys, they can not only control existing resources but also create new ones for malicious purposes-such as launching attacks, distributing malware, or mining cryptocurrencies.

The article explores the methodology for creating technical documentation in software development projects, taking into account the principles of Agile and DevOps. It proposes formal approaches for building a document system as an integrated part of the IT project life cycle. The study examines the stages of transforming user stories into structured documents, the role of security templates, prototyping, and source code as inputs for generating specifications.

The paper examines the explores the use of artificial intelligence (AI) methods and tools for the efficient construction, management, and optimization of cloud IT infrastructures. The main challenges related to the automation of deployment, scaling, monitoring, and resource optimization in the cloud environment are analyzed, along with the role of AI in addressing these issues. Approaches to integrating AI to improve productivity, reduce operational costs, and enhance the security of cloud platforms are discussed.

This article examines the current state of issues in working with APIs of various systems. The most common methodologies (Agile and DevOps), methods, and tools for building automated pipelines for project assembly and testing were analyzed, and a general pipeline structure was presented, which serves as a starting point for project development. As a result of analyzing surveys of developers and DevOps engineers, key problems in integration between different systems using APIs were identified.

Today, the direction of DevOps is an essential component in the execution of IT projects of various scales. This determines the need to develop the latest progressive approaches, methods, and technologies to ensure the effective activity of DevOps specialists. One of such popular solutions is continuous integration (CI) and continuous delivery (CD) of software.

Described an implementation of Continuous Integration and Continuous Deployment processes using TeamCity and GoCD.