Optimize Long Test Runtimes Using Open AIOps

Explore an innovative approach to optimizing long test runtimes in CI/CD pipelines using open AIOps tools. Dive into the world of AI4CI, a set of Jupyter notebooks automated with Kubeflow pipelines, designed to collect data from Kubernetes CI/CD platforms, analyze KPI metrics, and develop ML models on OpenShift. Learn how the Optimal Stopping Point model can predict when a test is likely to fail, helping to efficiently manage development resources and resolve bottlenecks in CI/CD systems. Discover the potential of this cutting-edge solution presented by speakers Hema Veeradhi and Aakanksha Duggal at DevConf.CZ 2023, addressing the challenges of prolonged test durations in automated software development workflows.

Optimize Long Test Runtimes Using Open AIOps - DevConf.CZ 2023