Slow deployment of Workbench when running in AWS EKS Fargate
Nobody has claimed this yet.
- Dominant language
- Markdown
- Stars
- 46
- Forks
- 40
- Avg merge
- 4h 3m
- Merged PRs (30d)
- 6
Description
Hi Team, we've had two clusters on EKS - the first one is using managed nodes which worked fine prior to its decommissioning. The second one is using EKS fargate. I've noticed that the Fargate nodes takes substantially longer to pull an image, both for deployment of the Workbench pod and session pods. Typically this takes approximately 10 minutes. Images are not cached either, so a new image pull is created on every session launch, resulting in each session taking ~10 minutes to start. See below:
The values.yaml file is also very minimal:
userCreate: true
userName: "rstudio"
userPassword: "rstudio"
license:
key: **Omitted**
homeStorage:
create: false
name: "efs-claim"
path: "/home"
mount: true
storageClassName: "efs-sc"
accessModes:
- ReadWriteMany
requests:
storage: "2Gi"
Is this a known issue with EKS Fargate, or are there any additional components needed for Workbench to work with EKS fargate?
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the supplied values.yaml and inspect the repository's Helm configuration for EKS Fargate, Workbench, and session pod image handling. Reproduce or characterize the image-pull delay, then document a supported configuration or confirm that the behavior is an EKS Fargate limitation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, helm, kubernetes
- Domain
- cloud, devops, infrastructure
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100