Kubernetes AI Day Europe 2021
as the organisers put it
The schedule is subject to change. Please note: This schedule is automatically displayed in Central European Summer Time (CEST). To see the schedule in your preferred timezone, please select from the…
who it's for
ml engineers, platform engineers, kubeflow operators, devops engineers, data scientists, site reliability engineers
topics
Kubeflow Pipelines with Kale; KFP SDK to Tekton compilation; kubeflow operator for repair; kustomize-based installs for Kubeflow; fair GPU scheduling algorithms; ML Metadata (MLMD) integration; AI Fairness 360 and mitigation; Adversarial Robustness 360 testing; KFServing model serving; real-time fraud serving on EKS
| title | author | length |
|---|---|---|
| Opening Remarks | Thiago Bittencourt Gil | 01m |
Opening remarks invite attendees to Kubernetes AI Day and promote KubeCon + CloudNativeCon North America 2021 in Los Angeles (Oct 12–15). The speaker… | ||
| Scaling ML pipelines with KALE — the Kubeflow Automated Pipeline Engine | Salman Iqbal | 25m |
KALE converts JupyterLab notebooks into Kubeflow Pipelines by having users annotate notebook cells with tags (imports, functions, pipeline steps, params, skip)… | ||
| Embrace DevOps Practices to ML Pipeline Development | Tommy Li, Yihong Wang | 22m |
Built a compiler from KFP SDK to Tekton that runs pipelines on Tekton while injecting artifact annotations + post‑processing to push artifacts into KFP’s MLMD… | ||
| Fair Scheduling for Deep Learning Workloads in Kubernetes | Yodar Shafrir | 10m |
Kubernetes v1.15 scheduler framework is rejected in favor of a custom scheduler that uses a two-dimensional heap where each user is a heap node and each user… | ||
| Taming the Beast: Managing the day 2 operational complexity of Kubeflow | Mofi Rahman, Paul Van Eck | 25m |
Practical notes for running Kubeflow: the manifests repository is reorganized into apps / common / contrib with component manifests moved upstream so… | ||
| The SAME Project: A Cloud Native Approach to Reproducible Machine Learning | David Aronchick | |
SAME provides a one-line install and a CLI that bootstraps a local k3s cluster, deploys Kubeflow, and runs pipelines described in a declarative same file; it… | ||
| Stand up for ethical AI! How to detect and mitigate AI bias using Kubeflow | Andrew Butler, Animesh Singh | 30m |
Shows a working Kubeflow pipeline that plugs IBM’s libraries into KFServing to detect and mitigate bias: AI Fairness 360 runs 70+ fairness metrics and exposes… | ||
| Kubernetes to serve a fraud detection model | Gabriela Souza de Melo | 18m |
Claims a deployed real-time fraud API cuts fraud ~50% in six months and raises valid conversion ~4% while serving subsecond decisions under load. Architecture… | ||
| ML Ops design patterns with Kubeflow Pipelines | Amy Unruh | 20m |
Shows concrete MLOps patterns implemented with Kubeflow Pipelines using the Python SDK on a standalone GKE install: pipelines log to a metadata server, support… | ||
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