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Title: AI-Driven DevOps A Systematic Analysis of Machine Learning Integration in Contemporary Software Delivery Pipelines
India, 28th Apr 2025 - In an era defined by digital acceleration and continuous software evolution, the convergence of artificial intelligence (AI), machine learning (ML), and DevOps has sparked a paradigm shift in software delivery practices. Traditional DevOps, built on automation and collaboration, has significantly enhanced both speed and reliability. However, the dynamic and complex nature of modern systems requires more than static automation scripts. The integration of AI and ML brings intelligent decision-making, predictive capabilities, and adaptive learning into DevOps pipelines. This paper, authored by Bhaskara Garnimitta, introduces the concept of AI-Driven DevOps, and explores how it is reshaping the landscape of software engineering by examining key technologies, implementation strategies, organizational impacts, and ethical considerations.Cloud Computing Adaptation in AI-Driven DevOpsThe rise of cloud computing has played a pivotal role in enabling the integration of AI and DevOps by providing scalable, flexible, and cost-effective infrastructure. Cloud platforms offer dynamic resource provisioning, which is essential for training machine learning models, running AI workloads, and deploying intelligent automation at scale. AI-driven DevOps benefits from cloud-native tools and services such as serverless computing, container orchestration (e.g., Kubernetes), and managed AI services that streamline model deployment and monitoring. By leveraging cloud environments, organizations can accelerate innovation cycles, support distributed teams, and achieve higher operational agility. As noted by Bhaskara Garnimitta, the synergy between cloud computing and AI-powered DevOps is foundational to building intelligent, resilient, and future-ready software delivery...
This press release is issued by King Newswire