Please note: This instance is for testing/development, and any content submitted may be changed or deleted without warning.
Training eSupport System
  • Log In
    • Login
    • Register
  • About
  • Events
  • Materials
  • e-Learning
  • Workflows
  • Collections
  • Learning paths
  • Directory
    • Trainers
    • Providers
    • Nodes

TeSS makes use of some necessary cookies to provide its core functionality.

See our Privacy Policy for more information.

You can modify your cookie preferences at any time here, or from the link in the footer.

Allow necessary cookies
  1. Home
  2. Materials

Filter

  • Sort

  • Filter Clear filters

    • Scientific topic
    • Content management1
    • Data management1
    • Database management1
    • Document management1
    • File management1
    • Informatics1
    • Information management1
    • Information science1
    • Knowledge management1
    • Metadata management1
    • Record management1
    • Research data management (RDM)1
    • Show N_FILTERS more
    • Content provider
    • Galaxy Training16
    • Show N_FILTERS more
    • Keyword
    • ansible
    • Galaxy Server administration39
    • git-gat16
    • Statistics and machine learning14
    • interactive-tools11
    • Contributing to the Galaxy Training Material9
    • Development in Galaxy6
    • Using Galaxy and Managing your Data6
    • jobs5
    • Proteomics4
    • Single Cell4
    • storage4
    • ChIP-seq3
    • Climate3
    • DDA3
    • Epigenetics3
    • Introduction to Galaxy Analyses3
    • Transcriptomics3
    • jupyter-notebook3
    • monitoring3
    • FAIR Data, Workflows, and Research2
    • MIGHTS2
    • deep-learning2
    • deploying2
    • jupyter-lab2
    • machine-learning2
    • paper-replication2
    • ro-crate2
    • work-in-progress2
    • workflows2
    • Choose your own Adventure1
    • CodeSpaces1
    • Command-line1
    • Ecology1
    • FAIR Data1
    • Foundations of Data Science1
    • GO enrichment1
    • GitPod1
    • HeLa1
    • QC1
    • R1
    • Teaching and Hosting Galaxy training1
    • Variant Analysis1
    • Workflows1
    • and Research1
    • authentication1
    • automation1
    • biodiversity1
    • broken1
    • bulk1
    • cloud1
    • collections1
    • covid191
    • cyoa1
    • data1
    • dephosphorylation-site-prediction1
    • drosophila1
    • fine-tuning1
    • gbif1
    • image-segmentation1
    • imaging1
    • modeling1
    • mouse1
    • protein-3D-structure1
    • rna-seq1
    • single cell1
    • species populations EBV class1
    • terraform1
    • tools1
    • training1
    • variant-analysis1
    • Show N_FILTERS more
    • Difficulty level
    • Beginner
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International16
    • Show N_FILTERS more
    • Target audience
    • Galaxy Administrators16
    • Show N_FILTERS more
    • Author
    • Helena Rasche13
    • Nate Coraor5
    • Simon Gladman5
    • Marius van den Beek3
    • Mira Kuntz3
    • Saskia Hiltemann3
    • Björn Grüning2
    • Gianmauro Cuccuru2
    • Matthias Bernt1
    • Torfinn Nome1
    • Show N_FILTERS more
    • Contributor
    • Martin Čech
    • Saskia Hiltemann18
    • Helena Rasche17
    • Nate Coraor17
    • Björn Grüning15
    • Marius van den Beek15
    • Lucille Delisle14
    • Nicola Soranzo13
    • Simon Gladman13
    • Bérénice Batut10
    • Gianmauro Cuccuru8
    • Anthony Bretaudeau7
    • Armin Dadras6
    • Mira Kuntz6
    • Tomas Klingström4
    • Anne Fouilloux2
    • John Chilton2
    • Niall Beard2
    • Vlad Visan2
    • Catherine Bromhead1
    • Dave B.1
    • Edwin den Haas1
    • Eli Chadwick1
    • Enis Afgan1
    • Gildas Le Corguillé1
    • John Davis1
    • Kweyakie Afi Blebo1
    • Mélanie Petera1
    • Nuwan Goonasekera1
    • Peter van Heusden1
    • Torfinn Nome1
    • Tunc Kayikcioglu1
    • Wolfgang Maier1
    • Yvan Le Bras1
    • Show N_FILTERS more
    • Resource type
    • e-learning16
    • Show N_FILTERS more
    • Related resource
    • Quarto/RMarkdown Notebook16
    • ansible16
    • git-gat12
    • Associated Training Datasets9
    • jobs4
    • monitoring3
    • storage2
    • automation1
    • broken1
    • deploying1
    • features1
    • training1
    • Show N_FILTERS more
  • Show disabled materials
  • Show archived materials
    • Date added
    • In the last 24 hours
    • In the last 1 week
    • In the last 1 month

Training materials

  • Subscribe via email

Email Subscription

Register training material

Keywords: ansible

and Difficulty level: Beginner

and Contributors: Martin Čech

16 materials found
  • e-learning

    Galaxy Monitoring with Reports

    • beginner
    Galaxy Server administration ansible broken git-gat monitoring
  • e-learning

    Upgrading Galaxy

    • beginner
    Galaxy Server administration ansible
  • e-learning

    Distributed Object Storage

    • beginner
    Galaxy Server administration ansible storage
  • e-learning

    Monitoring Galaxy and Pulsar with Sentry

    • beginner
    Galaxy Server administration ansible git-gat
  • e-learning

    Data Libraries

    • beginner
    Galaxy Server administration ansible git-gat storage
  • e-learning

    Use Apptainer containers for running Galaxy jobs

    • beginner
    Galaxy Server administration ansible git-gat jobs
  • e-learning

    Setting up Celery Workers for Galaxy

    • beginner
    Galaxy Server administration ansible git-gat
  • e-learning

    Training Infrastructure as a Service (TIaaS)

    • beginner
    Galaxy Server administration ansible git-gat jobs training
  • e-learning

    Automation with Jenkins

    • beginner
    Galaxy Server administration ansible automation
  • e-learning

    Running Jobs on Remote Resources with Pulsar

    • beginner
    Galaxy Server administration ansible git-gat jobs
  • 1
  • 2
Training eSupport System
contact@example.com
Contribute
About TeSS
Funding & acknowledgements
Privacy
Cookie preferences
Version: 1.5.0
Source code
API documentation
Bioschemas testing tool

TeSS has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 676559.