1ambda

{"paragraphs":[{"text":"%md\n##General description of the study site and sampling strategy\nGeneral description of the study site and sampling strategy These results are part of a ongoing long-term monitoring program that is being carried out on the west coast of Portugal at Parede/Avencas (38º41'08''N, 9º21'20''W). A 0.04 Km2 portion of an intertidal rocky-shore area which is part of a large rocky platform is being sampled since May 2006. The shoreline is oriented in south-southwesterly directions and is located in the northern margin adjacent to the Tagus estuary. Intertidal sampling is performed during low-tide, in each full and new moon period, using hand nets (mesh size<1mm). Non-destructive sampling consists in the counting and capture of non-resident fish specimens that are measured and subsequently released at the same site where they were previously captured\n","dateUpdated":"2016-12-20T01:37:49+0000","config":{"colWidth":12,"graph":{"mode":"table","height":300,"optionOpen":false,"keys":[],"values":[

1ambda

  masterPublicName: api.kops.${project}.${enterprise}.enterprise.${vendor}.k8s.local
  networkCIDR: ${vpc_cidr}
  networkID: ${vpc_id}
  networking:
    weave:
      mtu: 8912
  nonMasqueradeCIDR: 100.64.0.0/10
  sshAccess:
  - 0.0.0.0/0
  subnets:

1ambda

#!/usr/bin/python
#
#Copyright 2017-2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
#Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file
#except in compliance with the License. A copy of the License is located at
#
#    http://aws.amazon.com/apache2.0/
#
#or in the "license" file accompanying this file. This file is distributed on an "AS IS"

1ambda

bootstrap_action = [
  ...
  {
    path = "s3://${aws_s3_bucket_object.emr_bootstrap_assign_private_ip.bucket}/${aws_s3_bucket_object.emr_bootstrap_assign_private_ip.id}"
    name = "${aws_s3_bucket_object.emr_bootstrap_assign_private_ip.key}"
    args = [
      "${lookup(local.spark_batch_cluster_01, "fixed_ip")}"
    ]
  },
]

1ambda

#!/bin/bash

export IS_MASTER=$(cat /mnt/var/lib/info/instance.json | jq -r ".isMaster")
export INSTANCE_GROUP_ID=$(cat /mnt/var/lib/info/instance.json | jq -r ".instanceGroupId")
export CLUSTER_ID=$(cat /mnt/var/lib/info/job-flow.json | jq -r ".jobFlowId")
export INSTANCE_ID=$(wget -q -O - http://169.254.169.254/latest/meta-data/instance-id)
export INSTANCE_GROUP_TYPE=$(cat /mnt/var/lib/info/job-flow.json | jq -r ".instanceGroups | .[] | select( .instanceGroupId == \"${INSTANCE_GROUP_ID}\") | .instanceRole" | tr a-z A-Z)

export CURRENT_TAG_NAME=$(aws ec2 --region ap-northeast-2 describe-tags --filters Name=resource-id,Values=${INSTANCE_ID} | jq -r ".Tags | .[] | select( .Key == \"Name\") | .Value")
export NEW_TAG_NAME="${CURRENT_TAG_NAME}-${INSTANCE_GROUP_TYPE}"

1ambda

locals {
  spot_default_factor = 0.8

  spot_on_demand_price_r5xlarge = 0.304
  spot_bid_price_r5xlarge = "${format("%.2f", __builtin_StringToFloat(local.spot_on_demand_price_r5xlarge) * __builtin_StringToFloat(local.spot_default_factor))}"
}

1ambda

helm repo add jupyterhub https://jupyterhub.github.io/helm-chart/
helm repo update

RELEASE=jupyterhub
NAMESPACE=jupyterhub

# https://github.com/jupyterhub/zero-to-jupyterhub-k8s/blob/master/jupyterhub/values.yaml
helm upgrade --install $RELEASE jupyterhub/jupyterhub \
  --namespace $NAMESPACE  \
  --version=0.8.0-beta.1 \

1ambda

  worker_group_launch_template_count = 2
  worker_groups_launch_template = [
    {
      # Jupyter Pod 을 위한 Spot 인스턴스 그룹
      name = "ig-01"
      instance_type = "c5.xlarge"
      override_instance_type = "c5.2xlarge"

      kubelet_extra_args                      = "--node-labels=eks-instance-group=ig-01,eks-compute-type=cpu"
    },

1ambda

proxy:
  nodeSelector:
    eks-compute-type: none

hub:
  nodeSelector:
    eks-compute-type: none

singleuser:
  nodeSelector:

1ambda

singleuser:
  ...

  memory:
    limit: 2G
    guarantee: 1G
  cpu:
    limit: 1 
    guarantee: .25