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DTSTAMP:20260522T150111Z
LOCATION:C2/3/4 Ballroom
DTSTART;TZID=America/Chicago:20181115T083000
DTEND;TZID=America/Chicago:20181115T170000
UID:submissions.supercomputing.org_SC18_sess327_spost110@linklings.com
SUMMARY:Monitoring Parsl Workflows
DESCRIPTION:Connor Pigg (University of Illinois)\n\nAs a Python library th
 at enables workflows, Parsl gives users the ability to define complex work
 flows in Python and run them in parallel on any computer system. This post
 er describe the process of adding monitoring to Parsl. Simple and comprehe
 nsive monitoring of a workflow’s state and resource usage lets users audit
 , debug, and confirm workflow execution.  The poster discusses how Parsl m
 onitors workflow components, what data it captures (task status and resour
 ce usage), and the tools it used to do so (Elasticsearch) and to display t
 he information (Kibana). A Kibana dashboard visualizes the collected logs 
 in a real time, with an interactive user interface. This enhanced Parsl al
 lows users the option to monitor the status and resource usage of their wo
 rkflows via an Elasticsearch database and Kibana dashboard.\n\nRegistratio
 n Category: Tech Program Reg Pass, Exhibits Reg Pass\n\n
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