Applying Machine Learning to DevOps

The world of using static tooling for packaging, provisioning, deployments, and monitoring, APM and log management will be over. With Docker adoption, the Cloud and API driven approaches and micro-services to deploying applications at a large scale, ensuring high reliability, requires an excellent take. So, it's essential to include creative managing tools for cloud instead of reinventing the wheel every time. With the rise of ML and AI, more DevOps tooling vendors are incorporating intelligence with their offerings for further simplifying the task of engineers. Machine Learning is the practical application of Artificial Intelligence (AI) in the form of a set of programs or algorithms. The aspect of learning relies on training time and data.