kubeflow / kubeflow/sdk

SparkClient: Running SDK in EKS/GCP and validate

Open
#481 1 comment 0 reactions 0 assignees View on GitHub
area/spark
Dominant language
Python
Stars
148
Forks
262
Avg merge
1d 2h
Merged PRs (30d)
1

Description

We would like to run SparkClient in AWS and GCP and validate if all the CRD and k8s resource apply works smoothly.

Contributor guide

Open the contributing guide

Research direction

Start with SparkClient and the Kubernetes CRD and resource application flow, then run the SDK in EKS and GCP as requested. Validate whether all CRD and Kubernetes resource applications work smoothly in both environments; the issue does not identify specific files, tests, or expected changes.

Written by the indexing model from the issue text.

Assessment

Tech stack
aws, gcp, kubernetes, python
Domain
cloud, devops, infrastructure
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
35/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.