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Deploying Dask Distributed
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Jacob Tomlinson
May 19, 2021
Technology
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Deploying Dask Distributed
Jacob Tomlinson
May 19, 2021
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Transcript
Deployment Workshop Deploying Dask Distributed Jacob Tomlinson
Dask Distributed A centrally managed, distributed, dynamic task scheduler
Dask Overview
None
Worker Worker Worker Scheduler Client Protocols TCP UCX Websocket Dask
components can communicate via a variety of different protocols.
Scheduler Starting a scheduler
Connecting a worker Worker Scheduler
Client Scheduler Worker Connecting a client
Client Scheduler Worker Submitting work
Dask Dashboard
JupyterLab Extension
Cluster Managers Utility classes to simplify cluster creation
Local Cluster Scheduler Worker Worker Worker Worker LocalCluster creates everything
for you. It will break down a large CPU into multiple workers withy multiple threads as this can be more performant.
Client Local Cluster Scheduler Worker Worker Worker Worker
Get logs
Scaling
How do I get more resource? Moving beyond a single
machine
SSH ... You could SSH to a bunch of machines
and start the Dask components manually.
SSHCluster Or you could use SSHCluster which will bootstrap a
cluster for you on a list of machines. All you need is passwordless SSH configured for each machine.
None
Deployment Workshop Thank you! @_jacobtomlinson