MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE IN DEVOPS: APPLICATIONS FOR PREDICTIVE ANALYTICS, ANOMALY DETECTION, AND AUTOMATED INCIDENT RESPONSE
Keywords:
Machine learning, artificial intelligence, DevOps, predictive analytics, anomaly detection, automated incident response, operational efficiency, system reliability, proactive remediation, resource optimization, security threats, performance issues, rapid incident resolution, agilityAbstract
DevOps leverages machine learning and artificial intelligence to revolutionize software development practices, introducing predictive analytics, anomaly detection, and automated incident response capabilities. This article delves into the applications of machine learning and artificial intelligence in DevOps, showcasing their transformative impact on enhancing operational efficiency, improving system reliability, and enabling proactive responses to potential issues. By integrating advanced technologies like predictive analytics and anomaly detection into DevOps processes, organizations can streamline operations, mitigate risks, and drive continuous improvement in software development and deployment practices.
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