DevOps World | Jenkins World 2019 San Francisco

"There's no question the primary aim of the DevOps pipeline is to ship the highest quality of code from the repository to the production environment swiftly, efficiently and securely. But modern DevOps pipelines also creates vast amounts of data from tools used as source code repositories, bug tracking systems, static code analysis, test management frameworks, unit/integration/performance test executions and vulnerability/security analyses. All of the data from the DevOps pipeline can be used to make future releases leaner, more efficient and intelligent. During this session, you'll learn how machine learning (ML) and artificial intelligence (AI) techniques can be applied to logs and metadata collected from management tools, code analysis, testing and vulnerability analyses. Doing so enables you to recommend and execute only the required test cases during hotfix, release candidate, major and minor releases. Additionally, you'll see how the efficiency of DevOps pipelines can increase with the use of a scalable testing grid, which adapts per incoming workload."