October 12, 2021
Los Angeles, California + Virtual
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Tuesday, October 12 • 1:35pm - 2:05pm
AIOps for CI with Kubeflow Pipelines - Oindrilla Chatterjee & Aakanksha Duggal, Red Hat

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It’s easy to get lost in logs and dashboards while getting to the root of build or test failures. By leveraging the data made available by Kubernetes testing and visualization platforms like Prow and TestGrid, we have built AI4CI (Artificial Intelligence for Continuous Integration), an open source AIOps tool to monitor builds and help developers get to the root cause of failures. In this session, the speakers demonstrate how they developed a set of Jupyter Notebooks which are automated using Kubeflow Pipelines into a repeatable process that collects data from various CI/CD tools, calculates key performance indicator metrics, and performs analyses such as failure type prediction and build log clustering. These metrics are then displayed and explored as interactive dashboards. By the end of the talk, the audience will learn how to build AIOps monitoring tools and automated dashboards that can help provide more visibility into their tests to better support their CI/CD processes.

avatar for Oindrilla Chatterjee

Oindrilla Chatterjee

Senior Data Scientist, Red Hat
Oindrilla is a Senior Data Scientist at Red Hat, in the Office of the CTO working on emerging trends and research in ML and AI. She spent the past year developing open source AI applications for CI data.
avatar for Aakanksha Duggal

Aakanksha Duggal

Software Engineer, Red Hat
Aakanksha Duggal is a Software Engineer at Red Hat working in the AI Centre of Excellence and Office of the CTO. She is a part of the AIOps team and works in developing open source software that uses AI and machine learning applications to solve engineering problems.

Tuesday October 12, 2021 1:35pm - 2:05pm PDT
Room 502 AB + Online