Speakers:
Alastair Dewhurst
(Lancaster University),
Alberto Aimar
(CERN),
Alessandro Di Girolamo
(CERN),
Andrea Sciaba
(CERN),
Andrej Filipcic
(Jozef Stefan Institute (SI)),
Danilo Piparo
(CERN),
Edward Karavakis
(CERN),
Ilija Vukotic
(University of Chicago (US)), Dr
Jaroslav Guenther
(Innsbruck University),
Joaquin Ignacio Bogado Garcia
(Universidad Nacional de La Plata (AR)),
Luca Magnoni
(CERN),
Maksim Gubin
(Russian Academy of Sciences (RU)),
Mario Lassnig
(CERN),
Martin Barisits
(CERN),
Peter Love
(Lancaster University (GB)),
Sergey Belov
(Joint Inst. for Nuclear Research (RU)),
Tatiana Korchuganova
(Russian Academy of Sciences (RU)),
Thomas Beermann
(CERN)
- Notes
- changing history: no; but possibility to fix mistakes foreseen: spark jobs
- BigPanda: move additional features from BigPanda into Realtime Job View?
- Link Grafana plots with Kibana? Automatically fill selection-attributes
- Batch usecases that can impact Interactive ES
- Discussion points
- ...
- Matrix: Notebooks with ES as data backend instead of Heatmap?
- Development for upstream Kibana
- Inflation of dashboards - how to manage?
- Workflow to replay historical data from HDFS to ElasticSearch
- use same kind of "query" to go against both HDFS or ElasticSearch? Spark jobs?
- Alarming customization (thresholds, detect standard/anomalous behaviour?)
- Any data still being put double on es-atlas and itmon (e.g., rucio-events? panda_jobsarchive?)
- Job view vs BigPanda?
- "conference-quality" plots?
- IT-DB machine learning Spark jobs - Kafka plugin?
- Zeppelin vs SWAN ?
- DDM Accounting - summaries are ready
- Pilot2 monitoring workflow integration
- Priorities/deadlines/people