Troubleshooting Guide

Troubleshooting Guide for Kaptain

Kaptain and KUDO

To print the status of the Kaptain operator instance:

kubectl kudo plan status -n kubeflow --instance kaptain

To show deployments and pods in the Kaptain operator instance:

kubectl get deployments -n kubeflow

kubectl get pods -n kubeflow

kubectl describe pod <pod_name> -n kubeflow

To print the logs from the KUDO controller:

kubectl logs -n kudo-system kudo-controller-manager-0 -f

Kubeflow Pipelines

List all pipeline runs in user namespace:

kubectl get -n <namespace>

Print the logs from all pipeline steps:

kubectl logs -l<workflow_name> -c main --prefix=true -n <namespace>

Delete all completed pipeline runs:

kubectl delete -l -n <namespace>

Delete all the pipeline runs with by final status (Succeeded or Failed):

kubectl delete -l -l -l -n <namespace>


To create the Konvoy diagnostics bundle, use:

konvoy diagnose --logs-all-namespaces --yes

Afterwards, check Konvoy troubleshooting techniques.


Kubeflow Pipelines

Kubeflow Pipelines steps can fail if the main container exits too quickly and the Argo sidecar fails to collect artifacts. This can happen when the container image is not available on a node and needs to be pulled from the registry first. Retry the pipeline run or to pre-download the container image to the relevant nodes.

Using Kubeflow Fairing with Private Docker Registries

Kubeflow Fairing does not currently support Docker registries using self-signed TLS certificates, certificate chaining, or insecure (plaintext HTTP) registries. It is recommended to use the Kaptain SDK for building and pushing Docker images as a part of the model development process.

Spark and Horovod

Running Spark and Horovod on Spark in client mode from a notebook with Istio enabled is not supported. It is recommended to use the Spark Operator for running Spark applications.

Pocket Chrome Extension

Users who have the Google Chrome extension for Pocket installed may not be able to see large portions of the Kaptain UI. Disable the Pocket extension to ensure the Kaptain UI is completely visible.

Component Versions

Kaptain includes:

  • Kubeflow 1.3.0
    • Notebook controller 1.3.0
    • Argo Workflows 2.12.9
    • Katib 0.11.0
    • KFServing 0.5.1
    • Percona Kubernetes Operator 1.7.0
    • Kubeflow Pipelines 1.5.0
    • PyTorch Operator 0.7.0
    • Tensorflow Operator 1.1.0
    • MinIO Operator 4.0.3
    • MXNet Operator 1.1.0
    • MinIO RELEASE.2021-03-01T04-20-55Z
  • kubectl 1.19
  • Kudobuilder 0.19.0
  • KUDO Spark 3.0.0
  • Kaniko 1.3.0
  • TensorFlow Serving 1.14.0
  • ONNX server 0.5.1
  • Nvidia TensorRT server 19.05
  • Knative 20200410
  • TFX MLMD Store Server 0.21.1

Python libraries (excluding transitive dependencies):

  • Miniconda 4.8.2
  • JupyterLab 3.0.16
  • Kaptain SDK 0.3.0
  • kubernetes SDK 10.0.1
  • ML Metadata 0.22.0
  • Kubeflow Pipelines 1.4.0
  • Kubeflow Fairing 1.0.1
  • TensorFlow 2.4.0
  • PyTorch 1.7.1
  • MXNet 1.8.0
  • Horovod 0.21.0
  • CUDA 11.0
  • Matplotlib 3.2.1
  • Papermill 2.0.0
  • Open MPI
  • gensim
  • future
  • h5py
  • Keras
  • NLTK
  • NumPy
  • Pandas
  • SciPy
  • scikit-learn
  • Seaborn
  • spaCy
  • statsmodels
  • typing
  • boto3
  • ipywidgets
  • NodeJS
  • Plotly
  • Toree