APPLICATION OF MACHINE LEARNING IN DEVOPS

Abstract

This project will deal with application of machine learning in Devops. The underlying notion for this is that devops teams do not closely look at data and instead focus on thresholds that satisfy a certain condition for action. When they do this, DevOps teams are unable to utilize the large data that they collect. They entirely focus on outliers which can trigger alerts of certain problems but do provide the much needed information. When ML gets induced in DevOps processes, one can be rest assured of the data getting monitored and analyzed at a continuous pace. ML applications look at the data along with predictive analytics to draw out meaningful insight