# Running CWL workflows in local and cloud infrastructures

**URL:** <https://cwl.discourse.group/t/running-cwl-workflows-in-local-and-cloud-infrastructures/548>\
**Category:** CWLcon 2022\
**Created:** [February 27, 2022, 3:05pm UTC](https://cwl.discourse.group/t/running-cwl-workflows-in-local-and-cloud-infrastructures/548 "2022-02-27T15:05:27Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![mrc](https://yyz2.discourse-cdn.com/free1/user_avatar/cwl.discourse.group/mrc/32/3_2.png) [@mrc](https://cwl.discourse.group/u/mrc)\
**Post date:** [February 27, 2022, 3:05pm UTC](https://cwl.discourse.group/t/running-cwl-workflows-in-local-and-cloud-infrastructures/548/1 "2022-02-27T15:05:27Z")

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Presenter: Juan Caballero

Session 1 (Americas-EMEA) [Monday, February 28th, 14:20 UTC](https://www.timeanddate.com/worldclock/fixedtime.html?iso=20220228T1420)

Summary: At EBI, we used CWL workflows to run analysis pipelines for metagenomic assembly, as we use the CWL pipeline portability between our local and cloud infrastructure (GPC), in this talk I will provide some benefits and challenges for doing both.

Please leave your questions for the presenter below!

Slides: [Juan Caballero - Running CWL workflows in local and cloud infrastructures.pdf - Google Drive](https://drive.google.com/file/d/1DhwKwWCMNZPVKnX2pz1u7kCoqRa4HCnu/view?usp=sharing)

See also: [GitHub - EBI-Metagenomics/mgnify-lr: Evaluation of long-read support for the MGnify pipeline](https://github.com/EBI-Metagenomics/mgnify-lr)

[![](https://global.discourse-cdn.com/free1/uploads/cwl1/original/1X/d74b1c45a46848084d8f05b0b531f54330f1f7d9.jpeg "Running CWL workflows in local and cloud infrastructures") ](https://www.youtube.com/watch?v=CAm5EZP4F0s)

As an alternative to YouTube, this presentations is also available on ConfTube

https://conf.tube/videos/embed/f1bac316-893f-47e1-9168-a7a8ce1ce186