Analysis Facility Pilot (Weekly Discussion )

Europe/Zurich
513/1-024 (CERN)

513/1-024

CERN

50
Show room on map
Description

Useful information and links:

e-mail list: cern-analysis-facility@cern.ch

Overall description and useful information

Mattermost Channel

Workbook

Minutes

Zoom Meeting ID
61085982895
Host
Markus Schulz
Alternative host
Ben Jones
Useful links
Join via phone
Zoom URL
    • 1
      Discussion with the NAF team from DESY 513/R-068

      513/R-068

      CERN

      19
      Show room on map

      Starting with the standard set of questions we will discuss experiences gained in the area of providing resources for analysis.

      Overview:
      • Main services offered by the AF.
      • Scale: amount resources and number of users.
      • What triggered the deployment of the AF?
      - Were users demanding Jupyter/Dask/Scale-out etc.?
      • What has been the adoption by users?
      - Is the usage increasing over time?
      • Do you only support interactive analysis?
      - If not, how does non-interactive analysis look like?
      • Can the AF be used via a terminal/batch?
      Metrics
      • How do you measure how many (active) users are using the facility?
      • What other user metrics do you measure?
      - Real-time or historical time series?
      • What KPI do you consider to define success from the point of view of AF operations?
      • How do you monitor storage (XCache or other) usage and performance?
      • Number of users?
      Software distribution
      • How are the client software libraries made available to the users
      • To what extent, and how, can users customize their software stack (e.g. versions of Coffea and dependencies)?
      • To what extent do you provide support of the client software side? E.g. having one or few software distributions that are "guaranteed" to work?

      For sites that provided interactive use via interfaces like Jupyter, the question on the transition from the interactive use to batch use also came up frequently.

      Speaker: Markus Schulz (CERN)