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Merge pull request #3255 from GeorgianaElena/jackeddy-hub
Add jackeddy hub
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basehub: | ||
userServiceAccount: | ||
annotations: | ||
iam.gke.io/gcp-service-account: [email protected] | ||
jupyterhub: | ||
ingress: | ||
hosts: | ||
- jackeddy.2i2c.cloud | ||
tls: | ||
- secretName: https-auto-tls | ||
hosts: | ||
- jackeddy.2i2c.cloud | ||
custom: | ||
2i2c: | ||
add_staff_user_ids_to_admin_users: true | ||
add_staff_user_ids_of_type: "github" | ||
homepage: | ||
templateVars: | ||
org: | ||
name: Jack Eddy Symposium | ||
url: https://cpaess.ucar.edu/meetings/4th-eddy-cross-disciplinary-symposium | ||
logo_url: https://cpaess.ucar.edu/sites/default/files/styles/extra_large/public/2023-08/EddySymposium-900x400.jpg?itok=8qG7Dqi3 | ||
designed_by: | ||
name: 2i2c | ||
url: https://2i2c.org | ||
operated_by: | ||
name: 2i2c | ||
url: https://2i2c.org | ||
funded_by: | ||
name: "" | ||
url: "" | ||
custom_html: <a href="https://science.nasa.gov/heliophysics/programs/living-with-a-star/">NASA's Living with a Star program</a> and <a href="https://cpaess.ucar.edu/">UCAR/CPAESS</a> | ||
singleuser: | ||
extraFiles: | ||
# FIXME: document this feature | ||
# Currently only documented in the context of culling https://infrastructure.2i2c.org/sre-guide/manage-k8s/culling/#kernel-culling-configuration | ||
jupyter_notebook_config.json: | ||
data: | ||
# Allow jupyterlab option to show hidden files in browser | ||
ContentsManager: | ||
allow_hidden: true | ||
# https://infrastructure.2i2c.org/howto/features/dedicated-nodepool/ | ||
nodeSelector: | ||
# Applied to all profile options | ||
2i2c.org/community: jackeddy | ||
extraTolerations: | ||
- key: "2i2c.org/community" | ||
operator: "Equal" | ||
value: "jackeddy" | ||
effect: "NoSchedule" | ||
defaultUrl: /lab | ||
extraEnv: | ||
# https://infrastructure.2i2c.org/howto/features/buckets/ | ||
SCRATCH_BUCKET: gcs://pilot-hubs-jackeddy-scratch/$(JUPYTERHUB_USER) | ||
PANGEO_SCRATCH: gcs://pilot-hubs-jackeddy-scratch/$(JUPYTERHUB_USER) | ||
# https://infrastructure.2i2c.org/howto/features/github | ||
GH_SCOPED_CREDS_CLIENT_ID: "Iv1.37646d01f3f58a80" | ||
GH_SCOPED_CREDS_APP_URL: https://github.com/apps/jack-eddy-jupyterhub-push-access | ||
profileList: | ||
- display_name: "Image and resource allocation" | ||
description: "Choose the user image and what resources to be allocated for the server" | ||
slug: only-choice | ||
profile_options: | ||
requests: | ||
# Configuration setup based on https://github.com/2i2c-org/infrastructure/issues/2121. | ||
# Allocate resources from a n2-highmem-16 node, instead of a | ||
# n2-highmem-4 node to help reduce startup times. | ||
# Based on past usages of this hub, it is highly possible it will use notable | ||
# amounts of RAM. | ||
# The choice of this node, will avoid putting only two users requesting ~16 GB on | ||
# a ~32 GB node (if we went with a n2-highmem-4) and will instead allow for | ||
# at least eight users to fit per node on a n2-highmem-16 machine. | ||
# ref: https://github.com/2i2c-org/infrastructure/issues/3166#issuecomment-1755630637 | ||
display_name: Resource Allocation | ||
choices: | ||
mem_1_9: | ||
display_name: 1.9 GB RAM, upto 3.75 CPUs | ||
description: Fastest spinup time | ||
kubespawner_override: | ||
mem_guarantee: 1992701952 | ||
mem_limit: 1992701952 | ||
cpu_guarantee: 0.234375 | ||
cpu_limit: 3.75 | ||
node_selector: | ||
node.kubernetes.io/instance-type: n2-highmem-16 | ||
default: true | ||
mem_3_7: | ||
display_name: 3.7 GB RAM, upto 3.75 CPUs | ||
kubespawner_override: | ||
mem_guarantee: 3985403904 | ||
mem_limit: 3985403904 | ||
cpu_guarantee: 0.46875 | ||
cpu_limit: 3.75 | ||
node_selector: | ||
node.kubernetes.io/instance-type: n2-highmem-16 | ||
mem_7_4: | ||
display_name: 7.4 GB RAM, upto 3.75 CPUs | ||
kubespawner_override: | ||
mem_guarantee: 7970807808 | ||
mem_limit: 7970807808 | ||
cpu_guarantee: 0.9375 | ||
cpu_limit: 3.75 | ||
node_selector: | ||
node.kubernetes.io/instance-type: n2-highmem-16 | ||
mem_14_8: | ||
display_name: 14.8 GB RAM, upto 3.75 CPUs | ||
kubespawner_override: | ||
mem_guarantee: 15941615616 | ||
mem_limit: 15941615616 | ||
cpu_guarantee: 1.875 | ||
cpu_limit: 3.75 | ||
node_selector: | ||
node.kubernetes.io/instance-type: n2-highmem-16 | ||
mem_29_7: | ||
display_name: 29.7 GB RAM, upto 3.75 CPUs | ||
kubespawner_override: | ||
mem_guarantee: 31883231232 | ||
mem_limit: 31883231232 | ||
cpu_guarantee: 3.75 | ||
cpu_limit: 3.75 | ||
node_selector: | ||
node.kubernetes.io/instance-type: n2-highmem-16 | ||
mem_60_6: | ||
display_name: 60.6 GB RAM, upto 15.72 CPUs | ||
kubespawner_override: | ||
mem_guarantee: 65105797120 | ||
mem_limit: 65105797120 | ||
cpu_guarantee: 7.86 | ||
cpu_limit: 15.72 | ||
node_selector: | ||
node.kubernetes.io/instance-type: n2-highmem-16 | ||
mem_121_3: | ||
display_name: 121.3 GB RAM, upto 15.72 CPUs | ||
kubespawner_override: | ||
mem_guarantee: 130211594240 | ||
mem_limit: 130211594240 | ||
cpu_guarantee: 15.72 | ||
cpu_limit: 15.72 | ||
node_selector: | ||
node.kubernetes.io/instance-type: n2-highmem-16 | ||
image: | ||
display_name: Image | ||
# https://infrastructure.2i2c.org/howto/features/allow-unlisted-profile-choice/ | ||
unlisted_choice: | ||
enabled: True | ||
display_name: "Custom image" | ||
validation_regex: "^.+:.+$" | ||
validation_message: "Must be a publicly available docker image, of form <image-name>:<tag>" | ||
kubespawner_override: | ||
image: "{value}" | ||
choices: | ||
pangeo: | ||
display_name: Base Pangeo Notebook | ||
default: true | ||
slug: "pangeo" | ||
kubespawner_override: | ||
image: "pangeo/pangeo-notebook:2023.10.03" | ||
hub: | ||
allowNamedServers: true | ||
config: | ||
JupyterHub: | ||
authenticator_class: github | ||
GitHubOAuthenticator: | ||
oauth_callback_url: https://jackeddy.2i2c.cloud/hub/oauth_callback | ||
allowed_organizations: | ||
- jack-eddy-symposium | ||
scope: | ||
- read:org | ||
Authenticator: | ||
admin_users: | ||
- dan800 # Dan Marsh | ||
- rmcgranaghan # Ryan McGranaghan | ||
dask-gateway: | ||
gateway: | ||
extraConfig: | ||
idle: | | ||
# timeout after 30 minutes of inactivity | ||
c.KubeClusterConfig.idle_timeout = 1800 |
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