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What’s New
in Globus
Vas Vasiliadis – vas@uchicago.edu
Internet2 TechEXtra – February 23, 2022
It’s been a long while…
2
What a difference three years make!
We’ve been busy…
• …Rebuilding the technical foundation
• …Growing the connected storage ecosystem
• …Expanding the data management platform
• …Automating data management at scale
3
Rebuilding the technical foundation: GCSv5
• Modern security model
• Support compliance requirements
• Deployment flexibility
• Enhanced sharing policies
• Simplified scaling/availability
4
GCSv5 Architecture
5
Growing the connected storage ecosystem
Data-appropriate storage
Google Drive for project admin files
Google Cloud Storage for core research files
Reliably manage API constraints
Support for all major cloud
storage providers
Simplifying
cloud
storage
migration
9
Partnership with the community
to develop new connectors
Community Connector Program
Easy egress and ingress of data
Data sharing with collaborators
via unified interface
POSIX Staging Connector
• Example:
– IBM Spectrum Archive plugin, Brock Palen at University of
Michigan - github.com/brockpalen/ltfsee-globus
12
• For POSIX file systems
that cache from tertiary
storage
• Custom plug-in for
staging files
Streamlined GCP Installation
• Log in from the
application during
installation
• Use setup key method
for automation
New platform services
• Groups
• Search
• Flows
14
Globus Groups
docs.globus.org/api/groups
groups.api.globus.org/redoc
15
Globus Search: Data description/discovery
• Metadata store with fine-
grained visibility controls
• Schema agnostic
à dynamic schemas
• Simple search using URL
query parameters
• Complex search using
search request document
• Example:
16
docs.globus.org/api/search
Search
Index
github.com/globus/searchable-files-demo
Globus Search
Terra Fusion on OSN
17
osn.globusdemo.org
3 Degrees of Automation
Timer Service
Scheduled and recurring transfers
(a.k.a. Globus cron)
Command Line Interface
Ad hoc scripting and integration
Globus Flows service
Comprehensive task (data and
compute) orchestration with human in
the loop interactions
Globus
Timer
Service
19
CLI v3
• Collection support
• Group support
• Search support
• Multiple profiles
• Python SDK updates
20
Globus Flows: Managed task automation
• Flows: A platform service for defining, applying, and
sharing distributed research automation flows
• Flows comprise Actions
• Action Providers: Called by Flows to perform tasks
• Triggers*: Start flows based on events
* In development
Serial Synchrotron Crystallography of SARS-CoV-2 proteins
www.alcf.anl.gov/news/argonne-researchers-use-theta-real-time-analysis-covid-19-proteins
The pipeline generates large image batches at a high rate, with data transfers achieving speeds of
700 megabytes per second thanks to Globus, a University of Chicago-run data management service.
Gladier: The Globus Architecture for Data-Intensive
Experimental Research
• Accelerate and simplify flow
development and deployment
• Combine tools into reliable,
flexible, secure, distributed
flows
• Bridge instruments and
computing facilities
• Automate data collection and
publication to create FAIR data
24
funcX: managed and federated FaaS
• Cloud-hosted service for managing compute
• Register and share compute endpoints
• Register and share Python functions
• Reliably, scalable, securely execute functions on
remote endpoints
• Integrated with Globus Auth and data ecosystem
25
Try funcx on Binder
https://funcx.org
Our Mission
Increase the efficiency and
effectiveness of researchers
engaged in data-driven
science and scholarship
through sustainable software

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What's New in Globus - Internet2 TechEXtra

  • 1. What’s New in Globus Vas Vasiliadis – vas@uchicago.edu Internet2 TechEXtra – February 23, 2022
  • 2. It’s been a long while… 2
  • 3. What a difference three years make! We’ve been busy… • …Rebuilding the technical foundation • …Growing the connected storage ecosystem • …Expanding the data management platform • …Automating data management at scale 3
  • 4. Rebuilding the technical foundation: GCSv5 • Modern security model • Support compliance requirements • Deployment flexibility • Enhanced sharing policies • Simplified scaling/availability 4
  • 6. Growing the connected storage ecosystem
  • 7. Data-appropriate storage Google Drive for project admin files Google Cloud Storage for core research files Reliably manage API constraints
  • 8. Support for all major cloud storage providers
  • 10. Partnership with the community to develop new connectors Community Connector Program
  • 11. Easy egress and ingress of data Data sharing with collaborators via unified interface
  • 12. POSIX Staging Connector • Example: – IBM Spectrum Archive plugin, Brock Palen at University of Michigan - github.com/brockpalen/ltfsee-globus 12 • For POSIX file systems that cache from tertiary storage • Custom plug-in for staging files
  • 13. Streamlined GCP Installation • Log in from the application during installation • Use setup key method for automation
  • 14. New platform services • Groups • Search • Flows 14
  • 16. Globus Search: Data description/discovery • Metadata store with fine- grained visibility controls • Schema agnostic à dynamic schemas • Simple search using URL query parameters • Complex search using search request document • Example: 16 docs.globus.org/api/search Search Index github.com/globus/searchable-files-demo
  • 17. Globus Search Terra Fusion on OSN 17 osn.globusdemo.org
  • 18. 3 Degrees of Automation Timer Service Scheduled and recurring transfers (a.k.a. Globus cron) Command Line Interface Ad hoc scripting and integration Globus Flows service Comprehensive task (data and compute) orchestration with human in the loop interactions
  • 20. CLI v3 • Collection support • Group support • Search support • Multiple profiles • Python SDK updates 20
  • 21. Globus Flows: Managed task automation • Flows: A platform service for defining, applying, and sharing distributed research automation flows • Flows comprise Actions • Action Providers: Called by Flows to perform tasks • Triggers*: Start flows based on events * In development
  • 22. Serial Synchrotron Crystallography of SARS-CoV-2 proteins www.alcf.anl.gov/news/argonne-researchers-use-theta-real-time-analysis-covid-19-proteins The pipeline generates large image batches at a high rate, with data transfers achieving speeds of 700 megabytes per second thanks to Globus, a University of Chicago-run data management service.
  • 23. Gladier: The Globus Architecture for Data-Intensive Experimental Research • Accelerate and simplify flow development and deployment • Combine tools into reliable, flexible, secure, distributed flows • Bridge instruments and computing facilities • Automate data collection and publication to create FAIR data
  • 24. 24
  • 25. funcX: managed and federated FaaS • Cloud-hosted service for managing compute • Register and share compute endpoints • Register and share Python functions • Reliably, scalable, securely execute functions on remote endpoints • Integrated with Globus Auth and data ecosystem 25 Try funcx on Binder https://funcx.org
  • 26. Our Mission Increase the efficiency and effectiveness of researchers engaged in data-driven science and scholarship through sustainable software