Currently we run one replica of the webhook deployment, which makes it a single point of failure in the event of a node outage. The job doesn't do anything that requires running as a single replica, so we should investigate running multiple replicas.

We can crib from Knative Serving, which configures:

• [a HorizontalPodAutoscaler (HPA) to run 1-5 replicas based on CPU usage](https://github.com

We are using font-awesome V4 and should migrate to font-awesome V5 which comes with its own vue.js module: https://github.com/FortAwesome/vue-fontawesome

Migration includes removing old font-awesome V4 module and changing all existing icons to new vue.js tag.

This is blocked until #114 is merged which comes with first initial integration.

Summary

I noticed in the docs that you currently only support:

• namePrefix is a prefix appended to resources for Kustomize apps
• nameSuffix is a suffix appended to resources for Kustomize apps
• images is a list of Kustomize image overrides
• commonLabels is a string map of an additional labels

https://argoproj

Summary

jx create addon istio doesn't work
since v 1.5 istio moved to operator so no folder install/kubernetes/helm/istio

Steps to reproduce the behavior

jx create addon istio

Output

Istio package already downloaded: /Users/msirs/.jx/cache/istio-1.6.0-osx.tar.gz
error: Could not find folder install/kubernetes/helm/istio inside istio clone at /Users/msirs/.jx/cache/istio

Introduction

We need a section in the docs to describe how to migrate from the old-style dataset, e.g. ParquetS3DataSet to the new style e.g. kedro.extras.datasets.pandas.ParquetDataSet.

Suggestion

To migrate from ParquetS3DataSet to pandas.ParquetDataSet, the steps are the following:

In the catalog.yaml:

• Change the type from ParquetS3DataSet to pandas.ParquetDataSet

Describe the bug
Using a data source with umlauts in the column names leads to the Jupyter Notebook with which the suite can be edited throw an error on startup. The Notebook then doesn't load.
This might be a Jupyter Notebook bug, not sure?!

To Reproduce
Steps to reproduce the behavior:

1. Initialize a suite with this xlsx file as a data source (nothing fancy: Just two columns, the

async def sub(a, b):
  return a - b

See fridgerator/PyNode#25 for details.

While testing another PR, I found that mu pipeline logs command displays information from the pipelines, but also shows this error:

$ mu pipeline logs
[... normal, expected output ...]
func1 ▶ ERROR  ResourceNotFoundException: The specified log group does not exist.
	status code: 400, request id: f7260741-7f69-4772-b4cc-7c6a9c22d264

This error does not occur with the `-f

"We could also try and update the job naming for CWL jobs to include fewer UUIDs, because I'm not sure they really help anyone for debugging." DataBiosphere/toil#3226 (comment)

┆Issue is synchronized with this Jira Task
┆Issue Number: TOIL-666