Paper Contents
Abstract
One new approach that should be used in the software development life cycle is DevOps. The term "DevOps" suggests that the development and operations teams are integrated. By combining development and operations teams, DevOps has revolutionized software engineering by increasing productivity, automation, and continuous delivery. The many phases of the development lifecycle are integrated using this method. The current agile methodology has been expanded upon by DevOps. Continuous Integration, Continuous Delivery, Continuous Improvement, quicker feedback, and security are the goals of DevOps. The foundational elements of DevOps, adoption issues, models to enhance DevOps processes, and upcoming DevOps projects are all reviewed in this paper.This study examines how DevOps will develop in the future, emphasizing new developments like cloud-native technologies, DevSecOps, AI-driven automation, and GitOps. Along with the move toward platform engineering, the growing significance of AI and machine learning in automation and predictive analytics is examined. According to the study's findings, DevOps will keep developing and provide more innovation, scalability, and security.Keywords: DevOps, GitOps, Cloud, AI- automation, Technologies1. 0 IntroductionThe procedures used throughout the software development lifecycle are crucial. Various teams will perform their respective roles at their respective levels in the traditional development lifecycle. Teams working independently lengthen the product life cycle and have worse communication (Lwakatare et al., 2015).A software development methodology is a collection of steps that help create software. The end output of these efforts shows how the development process was carried out. The necessity to overcome the challenges and drawbacks of using traditional approaches in project management and implementation gave rise to agile methodology.Shore and Warden (2021) stated that the Agile methodology ensures early and continuous delivery of software that is subject to evaluation by assuming short intervals between deliveries.The impact on corporate culture, specifically the collaborative culture forced on developers and the ramifications of being entrenched in an Agile team, are the primary social and human aspects involved in the adoption of Agile methodology (Gregory & Taylor, 2019). According to Junker et al., two essential components of an effective Agile team are the dedication to the team's objectives and the continuous feedback given to all team members on the tasks being completed.The DevOps (Development and Operations) movement, which strives to advance this line of thinking, originated as a result of the success of Agile methodologies. According to Luz et al. (2018) this movement aims to establish a collaborative culture between development and operations teams that will increase the flow of finished work by breaking the conventional culture of virtually minimal team interaction.Notwithstanding its advantages, DevOps nevertheless has difficulties, such as fusing lifecycle management techniques with software engineering methodologies. More smooth integration of DevOps features into Agile approaches is necessary to address these issues. By resolving innate inefficiencies in software development, artificial intelligence (AI) is anticipated to significantly contribute to the optimization of DevOps operations. Automation powered by AI may improve monitoring, anticipate possible errors before they happen, and strengthen continuous integrationcontinuous deployment (CICD) pipelines (Battina, 2021).Wikipedia contributors (2025) explain that DevOps is a software development process that enhances software engineering cooperation, efficiency, and automation by fusing development (Dev) with operations (Ops). In order to facilitate continuous integration (CI), continuous delivery (CD), and continuous application monitoring, it seeks to dismantle the conventional silos that separate the development and IT operations teams.The constant search for security, scalability, and efficiency has characterized the development of software engineering. These objectives have been greatly aided by DevOps, a paradigm that combines development (Dev) with operations (Ops) (Ebert et al., 2016). Organizations are adopting new DevOps methodologies as digital transformation picks up speed in order to satisfy growing demands for software delivery that is more dependable and efficient. This study looks at new developments that will influence DevOps in the future. 1.1 Fundamentals of DevOps Cooperation and Communication: Promotes shared accountability between the operations and development teams. Automation: This technique makes use of tools to automate the development, testing, and deployment of software. CICD or continuous integration and deployment, guarantees regular, incremental updates with less manual involvement. Monitoring & Feedback Loops: This technique makes use of real-time logging and monitoring to swiftly identify and address problems. DevSecOps Security Integration: Integrates security procedures into the DevOps workflow.1.2 Advantages of DevOpsAccording to Wikipedia contributors (2025), DevOps advantages includes: Quicker Software Releases: By automating procedures, this approach shortens deployment timelines. Better Software Quality: Ongoing testing guarantees improved performance and fewer defects. Scalability & Reliability: Proactive monitoring increases system stability. Cost-Effectiveness: Automation lowers downtime and resource waste. 1.3 Frequently Used DevOps Tools Ansible, Puppet, and Chef for configuration management; Jenkins, GitHub Actions, and GitLab CICD for continuous integration and deliveryDatadog, ELK Stack, and Prometheus for monitoring and logging Containerization and Orchestration: Kubernetes, Docker
Copyright
Copyright © 2025 Dr Onyeyili Tochukwu Innocent. This is an open access article distributed under the Creative Commons Attribution License.
