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dask-ecs's Introduction

Dask ECS

This is an opinionated template for spinning up a dask cluster based on docker.

CloudFormation Topology

Install

First clone this repo.

Then navigate to your aws console cloudformation dash -> create stack -> choose a template -> Upload a template to Amazon S3 -> choose file -> then navigate to this dask-ecs-template.yaml file. In the web portal you can configure to your liking.

Example Docker Containers

https://hub.docker.com/r/sayreblades/dask-ecs/

Example Dask Client

from dask import bag as db
import distributed


client = distributed.Client(address="[YourDaskServer:Port]")
b = db.from_sequence([1, 2, 3, 4, 5, 6])
c = b.map(lambda o: o*2)
f = client.compute(c)
f.result()

Logs

Creates logs in cloud watch. The log group name will be the name you gave the cloud formation stack.

To view logs use the cloudwatch web interface or awslogs: https://github.com/jorgebastida/awslogs

awslogs get [log group name] -w

Similar Projects

Warnings

  • The cluster is wide open in terms of network connectivity. Use at your own risk.

  • The current configuration uses a custom ami image (ami-2505a35f) which is only available in us-east-1 region.

  • If you are using the p2.x class of machines for your cluster, you may need to request a resource limit increase based on your region: http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-resource-limits.html

  • If you are attempting to use dask locally, you should take care that your local python dependencies exactly match the versions deployed to the cluster. One convention Im using to manage this is by maintaining a requirements.txt file associated with each docker container. See https://github.com/SayreBlades/dask-ecs/tree/master/dockerfiles/python35 Which was used to build the container: sayreblades/dask-ecs:python35

Notes

For building AMI's for use with ECS... putting these here for future reference:

https://stackoverflow.com/questions/39018180/aws-ecs-agent-wont-start http://docs.aws.amazon.com/AmazonECS/latest/developerguide/ecs-agent-install.html http://docs.aws.amazon.com/AmazonECS/latest/developerguide/launch_container_instance.html

For building GPU (p2.xlarge) instance on ecs:

https://github.com/bfolkens/nvidia-docker-bootstrap

TODO

  • add optional security
  • add a cuda ready image for each region

dask-ecs's People

Contributors

sayreblades avatar

Stargazers

 avatar Pavel avatar Daniel Mahler avatar Arthur Alvim avatar Calvin Lee Fernandes avatar Latently avatar Denis Zubo avatar Ericson Cepeda avatar  avatar fred monroe avatar  avatar Sam Sheffres avatar v avatar

Watchers

James Cloos avatar

Forkers

databill86

dask-ecs's Issues

installing packages

is there a better way to install packages/dependencies? (without updating requirements.txt)

for example, for spark, to push packages to nodes in a cluster, you can do something like

from pyspark import SparkContext
sc = SparkContext("local", "App Name", pyFiles=['foo.py', 'bar.py'])

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