Logging Pipelines

Logging Pipelines is a computational infrastructure framework that orchestrates the automated collection, processing, transformation, and forwarding of log data from containerized environments to centralized storage or analysis systems, distinguished by its end-to-end workflow integration across distributed container logging sources.

8

Publications

325

Citations

33

Authors

13

Institutions

Publications per year

2017–2026

3

Authors

33

  1. SL
    Sebastián Luna-Valero

    MRC Weatherall Institute of Molecular Medicine, United Kingdom

    2 publications · 59 citations

    2

    h-index

  2. NE
    Nicholas E. Ilott

    University of Oxford, United Kingdom

    2 publications · 59 citations

    2

    h-index

  3. AP
    Adam P. Cribbs

    University of Oxford, United Kingdom

    2 publications · 59 citations

    2

    h-index

  4. DS
    David Sims

    University of Oxford, United Kingdom

    2 publications · 59 citations

    2

    h-index

  5. AH
    Andreas Heger

    University of Oxford, United Kingdom

    2 publications · 59 citations

    2

    h-index

1–5 of 33

Venues

  1. F1000Research

    2 publications · 59 citations

    2

    h-index

  2. Fuel Processing Technology

    1 publications · 16 citations

    1

    h-index

  3. Powder Technology

    1 publications · 27 citations

    1

    h-index

  4. CERN Document Server (European Organization for Nuclear Research)

    Repository · 1 publications · 17 citations

    1

    h-index

  5. Journal of Systems and Software

    JSS · 1 publications · 156 citations

    1

    h-index

1–5