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Add Carla Guggini's presentation #163

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Oct 4, 2023
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Add Carla Guggini's presentation #163

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Add Carla Guggini's presentation
castrojo Oct 4, 2023
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Update presentations.yaml
castrojo Oct 4, 2023
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- name: WTF Are Inclusive Communities and How to Maintain Them?
description: |
We are all here thanks to Cloud Native communities. Some of you might aspire to build tech communities that are diverse, open, inclusive and safe. Even if you are not planning to build a new community, you probably wish to belong to one with these characteristics. And while Cloud Native brought us all together, it doesn’t mean that we can feel safe to openly share and learn. That’s when reflecting on values collaboratively becomes crucial. It goes beyond abiding by a CoC or building a diverse line-up: it makes us part of the process and it makes us accountable for the values themselves. In this talk Carla and Jade will share a real life example on how they mapped out the personal values of several teams, to create a shared value system for their internal community to follow and belong to. A system that was also expressed externally through the voice of their WTF is Cloud Native brand.
video: https://www.youtube.com/watch?v=FIjkWKJdvWY
slides: https://docs.google.com/presentation/d/15EJNsIcdzBKun0wmP13eAYIph6HWQIazfakBkM5R5oA/edit#slide=id.g18c6e5792fa_0_0
date: 2022-12-01
presenters:
- name: Carla Gaggini
github: Carla-Gaggini
- name: Jade Amic
event:
name: Kubernetes Community Days UK | 2022
url: https://events.linuxfoundation.org/kubernetes-batch-hpc-day-north-america/
language: EN
projects:
- Ambassador
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"Ambassador" isn't a cncf project is it? Should this be a tag?

- name: Propagating Programming Paradigms - Lifting High Performance Compute Into K8s
description: |
Users don’t care where items run, just IF they run and how long they need to wait for completion. We should be building systems where ONLY the hardware, network, storage, and security engineers worry about how to maximally leverage underlying hardware for performance. Increasingly popular AI/ML and traditional HPC workloads have many similarities. It is historically difficult for the users to deploy their workloads in HPC environments. Kubernetes, meanwhile, has focused on simplifying the cognitive load for the users at a cost to both performance and sustainability. We show how to lift paradigms from HPC to make more performant Kubernetes clusters. We give a history of where HPC has come up short in abstracting hardware away from the user. We highlight current Kubernetes projects that do aid in performance in a cloud-native fashion and will go over continuing gaps. We will show how to improve Kubernetes to optimize both performance and sustainability without added pain to the user.
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