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- Pegasus
- AWS Batch
- checked in stuff
- jars checked in aws sub directory in the jars folder. pegasus-config classpath is updated accordingly
- Bamboo builds
- change in how users are handled
- rajiv and mats worked on changing the salt configuration for the various machines
- the major part changed was how the users are handled
- the bamboo user got messed up and uid's were mismatching on the filesystem
- main group for people unix accounts should be pegasus for everybody
- only project users will have access to VM's for a particular project
- Stewie Rebuild
- move off stewie. the main OS needs to be updated
- parnorama
- Rafael and Geroge will create a VM for panorama
- CENTOS 7
- mats will help George create VM
- Ashwin consumers from Influx DB
- CENTOS 7
- Rafael and Geroge will create a VM for panorama
- mysql server
- Pegasus metrics server
- JSON vs YAML
- initial impressions seem to favor yaml
- YAML does have benefit of including comments
- also YAML , JSON will result in additional lines
- initial impressions seem to favor yaml
- templates for site catalogs
- LSST
- mats will update documentation for pyglidein
- to work with condor pool passwords thing
- also will take mike site catalog to update NERSC entries
- tests
- rosetta and montage appear working again. not clear what triggered errors in first place
- AWS Batch
- SC Next week
- Rafael and Karan are away
- AWS workshop for LIGO
- George Panorama work
- Dakota ends up launching multiple Pegasus workflows based on it's gradient functions
- using ensemble manager to do multiple runs
- George will check in dakota test case and example
- pick one approach and update documentation
- SWIP Demo
- think about merging stuff from panorama back to production branch
- work with ian foster and raj kettimutt on globus online
- do multi site run
- Tudo
- working on insitu
- data spaces approach to have staging area
- tudo wrote sample applications
- evaluating on CORI using shared memory
- burst buffers cannot be used
- Ashwin
- analyzes influx db data
- using statistical learning
- python panda library
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