7 Ways Machine Learning Can Optimize DevOps

This article discusses seven ways in which machine learning can optimize devops. These include improving efficiency of performance feedback, helping with analyzing available data, making use of trends, correlating data across sets and platforms, managing alerts efficiently, optimizing metrics and goals, and testing software properly. Machine learning technology can enhance your practices, DevOps methodologies, and tools, and make sure that your processes are optimized as well as that the final result is superb.