DevOps

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.