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Friday, September 3 • 15:00 - 15:30
AI4CI - Speed up your CI/CD processes using AIOps

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It’s easy to get lost in logs and dashboards while navigating through problematic tests, builds, jobs resulting from the CI processes in applications with huge codebases like Kubernetes. By leveraging the data made available by Kubernetes and OpenShift testing, reporting, and visualization platforms like Prow, TestGrid, Bugzilla, etc. we can build intelligent open source AIOps tooling to better monitor builds, and help developers get to the root cause of failures. In this session, the speakers demonstrate how they’ve collected data from various CI/CD tools to calculate key performance indicator metrics. These metrics can help monitor the state of a CI workflow and can be shared via automated dashboards running on Kubeflow pipelines which can help investigate problematic tests, builds, or jobs. By collecting relevant metrics that can quantify the state of the CI workflow, we are presented with an opportunity to build more intelligent reporting tools that can aid an engineer's development lifecycle. By the end of the talk, the audience will understand how to build intelligent AIOps monitoring tools and dashboards that will enable them to get more visibility into their failures and ensure faster recovery 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 works on evaluating new tools, platforms, and methodologies in the open source Data Science ecosystem, for enhancing Red Hat products and internal services... Read More →
avatar for Aakanksha Duggal

Aakanksha Duggal

Aakanksha Duggal, Red Hat Inc.
Aakanksha Duggal is a Senior Data Scientist in the Emerging Technologies Group at Red Hat. She is a part of the Data Science team and works on developing open source software that uses AI and machine learning applications to solve engineering problems.

Friday September 3, 2021 15:00 - 15:30 EDT