defaults.yaml

cluster:
  num_nodes: 3                 # how many machines to ask Google for
  machine_type: n1-standard-8  # type of each machine https://cloud.google.com/compute/docs/machine-types
  disk_size: 50                # local volume size (GB) available on each machine
  zone: us-east1-b             # one of https://cloud.google.com/compute/docs/regions-zones/
  autoscaling: False           # whether to spin up/down nodes as number of containers is changed
  min_nodes: 2                 # if autoscaling, never have fewer than this many machines
  max_nodes: 32                # if autoscaling, never have more than this many machines
  preemptible: False           # cheaper nodes that may be killed at any time
jupyter:
  memory: 4096Mi               # memory allocated to the jupyter container, including all kernels
  cpus: 1                      # cores used by the jupyter container, including kernels
  port: 8888                   # external HTTP access port for jupyter notebook
  lab_port: 8889               # external HTTP access port for jupyterlab interface
  image: mdurant/dask-kubernetes:latest  # docker image of the jupyter environment
scheduler:
  memory: 4096Mi               # memory allocated for the dask scheduler container
  cpus: 1                      # cores used for the scheduler (which is a single-threaded process)
  image: mdurant/dask-kubernetes:latest  # docker image of the dask scheduler's environment
  tcp_port: 8786               # external access port for the scheduler, through which clients connect
  http_port: 9786              # external HTTP port for REST/JSON information from the scheduler
  bokeh_port: 8787             # external HTTP port for the diagnostics dashboards
workers:
  count: 8                     # number of worker containers to launch, with one worker process per container
  cpus_per_worker: 1.8         # cores allocated per worker container; the number of threads per worker will
                               # be rounded up to an integer
  memory_per_worker: 6800Mi    # memory of each worker container
  mem_factor: 0.95             # memory limit option to pass to worker will be this multiplied by the container limit;
                               # slightly less than one, so worker should not exceed available memory in the container
  image: mdurant/dask-kubernetes:latest  # docker image of each worker's environment