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J. Fernando Sánchez 2018-05-21 19:30:55 +02:00
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#!/bin/sh
#pandoc -t beamer slides.md --slide-level=2 -o slides.pdf -V theme:metropolis --toc --toc-depth 1 "$@"
pandoc -t revealjs -s --dpi 120 slides.md --css=style.css --slide-level=2 -o slides.html -V theme=white -V height=800 "$@"
echo "Syncing $PWD"
rsync -Paz "$PWD/" -e 'ssh -p 2222' root@slides.todevnull.com:/data/html/
echo 'Done'

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#!/bin/sh
echo 'slides.md' | entr ./run.sh

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<!DOCTYPE html>
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<head>
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<meta name="author" content="J. Fernando Sánchez (jf.sanchez@upm)">
<meta name="dcterms.date" content="2018-01-01">
<title>Docker for research</title>
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</head>
<body>
<div class="reveal">
<div class="slides">
<section id="title-slide">
<h1 class="title">Docker for research</h1>
<p class="subtitle">… and data analysis</p>
<p class="author">J. Fernando Sánchez (<a href="mailto:jf.sanchez@upm">jf.sanchez@upm</a>)</p>
<p class="date">2018</p>
</section>
<section><section id="intro" class="title-slide slide level1 white" data-background="img/intro.jpg"><h1>Intro</h1></section><section id="before-we-begin" class="slide level2">
<h2>Before we begin</h2>
<p>Code available at:</p>
<p><a href="https://github.com/balkian/lab-in-a-box" class="uri">https://github.com/balkian/lab-in-a-box</a></p>
<p>Live demos at:</p>
<p><strong><a href="https://github.todevnull.com" class="uri">https://github.todevnull.com</a></strong></p>
<p><a href="https://lab.todevnull.com" class="uri">https://lab.todevnull.com</a></p>
<p><a href="https://hub.todevnull.com" class="uri">https://hub.todevnull.com</a></p>
<p>Feel free to log in, but try not to break them for now 😉</p>
</section><section id="my-name-is-fernando-and" class="slide level2">
<h2>My name is Fernando and…</h2>
<p><img data-src="img/im-a-researcher.jpg" /></p>
</section><section id="at-grupo-de-sistemas-inteligentes" class="slide level2">
<h2>At Grupo de Sistemas Inteligentes</h2>
<div class="columns">
<div class="column" style="width:50%;">
<p><img data-src="img/gsi.png" /></p>
</div><div class="column" style="width:50%;">
<ul>
<li>Machine Learning and Big Data</li>
<li>NLP and Sentiment Analysis</li>
<li>Social Network Analysis</li>
<li>Agents and Simulation</li>
<li>Linked Data and Semantic Technologies</li>
</ul>
</div>
</div>
<p><a href="http://www.gsi.dit.upm.es" class="uri">http://www.gsi.dit.upm.es</a></p>
</section><section id="and-i-docker" class="slide level2">
<h2>And I ❤ Docker</h2>
<div class="columns">
<div class="column" style="width:50%;">
<p><img data-src="img/docker.jpg" /></p>
</div><div class="column" style="width:50%;">
<ul>
<li>Docker+research for 3+ years</li>
<li>Advocate for ~2 years</li>
<li>Internal infrastructure: ansible, k8s and docker</li>
<li>Teach (with) it</li>
</ul>
</div>
</div>
</section><section id="about-this-talk" class="slide level2">
<h2>About this talk</h2>
<p>Takeaway: <strong><em>you can set up a multi-user data analysis environment with isolation in minutes</em></strong></p>
<p>Plus: using docker to perform and share experiments is even easier</p>
<p>Related Meetups:</p>
<p><a href="https://www.meetup.com/Docker-Madrid/events/240357800/">Big Data and Machine Learning with Docker</a></p>
<p><a href="https://www.meetup.com/Docker-Madrid/events/237067604/">Using Docker in Machine Learning Projects</a></p>
</section></section>
<section><section id="for-researchers" class="title-slide slide level1 white" data-background="img/research.jpg" style="color:white"><h1>For researchers</h1></section><section id="experiment-publish-repeat" class="slide level2">
<h2>Experiment, publish, repeat</h2>
<p><img data-src="img/peerreview.jpg" /></p>
</section><section id="reproducibility" class="slide level2">
<h2>Reproducibility</h2>
<figure>
<img data-src="img/goodluck.png" alt="@ianholmes" /><figcaption><a href="https://twitter.com/ianholmes/status/288689712636493824">@ianholmes</a></figcaption>
</figure>
</section><section id="obstacles" class="slide level2">
<h2>Obstacles</h2>
<div class="columns">
<div class="column" style="width:50%;">
<ul>
<li><strong>Missing data</strong></li>
<li>Bleeding edge tools and libraries</li>
<li>Throwaway software
<ul>
<li>Hacky</li>
<li>Little to no documentation</li>
</ul></li>
<li>Multiple languages</li>
</ul>
</div><div class="column" style="width:50%;">
<figure>
<img data-src="img/will_it_work.png" alt="https://xkcd.com/1742/" style="height:80.0%" /><figcaption><a href="https://xkcd.com/1742/" class="uri">https://xkcd.com/1742/</a></figcaption>
</figure>
</div>
</div>
</section><section id="obstacles-1" class="slide level2">
<h2>Obstacles</h2>
<p><img data-src="img/noidea-pc.png" /></p>
</section><section id="is-it-a-problem" class="slide level2">
<h2>Is it a problem?</h2>
<figure>
<img data-src="img/reproducibility.jpg" alt="https://www.nature.com/" style="height:80.0%" /><figcaption><a href="https://www.nature.com/news/1-500-scientists-lift-the-lid-on-reproducibility-1.19970">https://www.nature.com/</a></figcaption>
</figure>
</section><section id="jupyter-notebooks" class="slide level2">
<h2>Jupyter notebooks</h2>
<p><img data-src="img/jupyter-screenshot.png" /></p>
</section><section id="jupyter-architecture" class="slide level2">
<h2>Jupyter architecture</h2>
<figure>
<img data-src="img/jupyter-architecture.png" alt="http://jupyter.readthedocs.io" /><figcaption><a href="http://jupyter.readthedocs.io" class="uri">http://jupyter.readthedocs.io</a></figcaption>
</figure>
</section><section id="docker-to-the-rescue" class="slide level2">
<h2>Docker to the rescue</h2>
<figure>
<img data-src="img/dockerrescue.png" alt="towardsdatascience.com" /><figcaption><a href="https://towardsdatascience.com/how-docker-can-help-you-become-a-more-effective-data-scientist-7fc048ef91d5">towardsdatascience.com</a></figcaption>
</figure>
</section><section id="jupyterdocker-stacks" class="slide level2">
<h2>Jupyter/docker-stacks</h2>
<p><img data-src="img/dockerstacks.png" style="height:50.0%" /></p>
</section><section id="reproducible-environment" class="slide level2">
<h2>Reproducible environment</h2>
<div class="sourceCode" id="cb1"><pre class="sourceCode bash"><code class="sourceCode bash"><a class="sourceLine" id="cb1-1" data-line-number="1"><span class="ex">docker</span> run --rm -p 8888:8888 \</a>
<a class="sourceLine" id="cb1-2" data-line-number="2"> -v <span class="va">$(</span><span class="ex">WDIR</span><span class="va">)</span>/:/home/jovyan/work/ \</a>
<a class="sourceLine" id="cb1-3" data-line-number="3"> jupyter/scipy-notebook</a></code></pre></div>
</section><section id="and-friendly-too" class="slide level2">
<h2>And friendly, too</h2>
<div class="sourceCode" id="cb2"><pre class="sourceCode yaml"><code class="sourceCode yaml"><a class="sourceLine" id="cb2-1" data-line-number="1"><span class="fu">version:</span><span class="at"> </span><span class="st">&#39;2&#39;</span></a>
<a class="sourceLine" id="cb2-2" data-line-number="2"><span class="fu">services:</span></a>
<a class="sourceLine" id="cb2-3" data-line-number="3"> <span class="fu">jupyter:</span></a>
<a class="sourceLine" id="cb2-4" data-line-number="4"> <span class="fu">image:</span><span class="at"> jupyter/scipy-notebook</span></a>
<a class="sourceLine" id="cb2-5" data-line-number="5"> <span class="fu">volumes:</span></a>
<a class="sourceLine" id="cb2-6" data-line-number="6"> <span class="kw">-</span> <span class="st">&quot;./.nbconfig:/home/jovyan/.jupyter/nbconfig&quot;</span></a>
<a class="sourceLine" id="cb2-7" data-line-number="7"> <span class="kw">-</span> <span class="st">&quot;./work:/home/jovyan/work/&quot;</span></a>
<a class="sourceLine" id="cb2-8" data-line-number="8"> <span class="fu">ports:</span></a>
<a class="sourceLine" id="cb2-9" data-line-number="9"> <span class="kw">-</span> <span class="st">&quot;8888:8888&quot;&quot;</span></a></code></pre></div>
<div class="sourceCode" id="cb3"><pre class="sourceCode bash"><code class="sourceCode bash"><a class="sourceLine" id="cb3-1" data-line-number="1"><span class="ex">docker-compose</span> up</a></code></pre></div>
</section><section id="related-projects" class="slide level2">
<h2>Related projects</h2>
<ul>
<li>Using docker images to share trained systems</li>
</ul>
<figure>
<img data-src="img/gym.png" alt="https://gym.openai.com" height="500" /><figcaption><a href="https://gym.openai.com" class="uri">https://gym.openai.com</a></figcaption>
</figure>
</section></section>
<section><section id="for-small-groups" class="title-slide slide level1 white" data-background="img/group.jpeg"><h1>For small groups</h1></section><section id="requirements" class="slide level2">
<h2>Requirements</h2>
<ul>
<li>Shared environments</li>
<li>Resource sharing</li>
<li>Easy configuration</li>
<li>Versioning</li>
<li>Backups</li>
</ul>
<p>And <strong>little to no overhead</strong></p>
</section><section id="isolation" class="slide level2">
<h2>Isolation</h2>
<p><img data-src="img/noidea.jpg" /></p>
</section><section id="jupyterhub" class="slide level2">
<h2>Jupyterhub</h2>
<div class="columns">
<div class="column" style="width:60%;">
<figure>
<img data-src="img/jhub-parts.png" alt="http://jupyterhub.readthedocs.io/" height="500" /><figcaption><a href="http://jupyterhub.readthedocs.io/" class="uri">http://jupyterhub.readthedocs.io/</a></figcaption>
</figure>
</div><div class="column" style="width:40%;">
<h4 id="authenticators">Authenticators</h4>
<ul>
<li>Local</li>
<li>OAuth</li>
<li>LDAP</li>
<li>JWT</li>
</ul>
<h4 id="spawners">Spawners</h4>
<ul>
<li>Local</li>
<li>Docker</li>
<li>Kubernetes</li>
<li>Marathon</li>
</ul>
</div>
</div>
</section><section id="more-infrastructure" class="slide level2">
<h2>More infrastructure</h2>
<p><img data-src="img/docker-gitlab.jpg" class="noborder" height="250" /> <img data-src="img/nextcloud.jpg" class="noborder" height="250" /></p>
<p><img data-src="img/sharelatex.jpg" class="noborder" height="250" /></p>
</section></section>
<section><section id="demo" class="title-slide slide level1" data-background="img/party.jpg"><h1>Demo</h1></section><section id="its-demo-time" class="slide level2">
<h2>Its demo time</h2>
<p><img data-src="img/demogods.jpg" style="height:80.0%" /></p>
<p><a href="https://github.todevnull.com" class="uri">https://github.todevnull.com</a> <a href="https://github.com/balkian/lab-in-a-box" class="uri">https://github.com/balkian/lab-in-a-box</a></p>
</section></section>
<section><section id="other-tools" class="title-slide slide level1"><h1>Other tools</h1></section><section id="zeppelin" class="slide level2">
<h2>Zeppelin</h2>
<ul>
<li>Alternative to Jupyter</li>
</ul>
<figure>
<img data-src="img/zeppelin.png" alt="https://zeppelin.apache.org/" /><figcaption><a href="https://zeppelin.apache.org/" class="uri">https://zeppelin.apache.org/</a></figcaption>
</figure>
</section><section id="cocalc" class="slide level2">
<h2>CoCalc</h2>
<ul>
<li>Alternative to Jupyter</li>
</ul>
<figure>
<img data-src="img/cocalc.png" alt="https://cocalc.org/" height="500" /><figcaption><a href="https://cocalc.org/" class="uri">https://cocalc.org/</a></figcaption>
</figure>
</section><section id="docker-nvidia" class="slide level2">
<h2>Docker-Nvidia</h2>
<ul>
<li>CUDA for docker</li>
</ul>
<figure>
<img data-src="img/dockernvidia.png" alt="https://github.com/NVIDIA/nvidia-docker" /><figcaption><a href="https://github.com/NVIDIA/nvidia-docker" class="uri">https://github.com/NVIDIA/nvidia-docker</a></figcaption>
</figure>
</section><section id="jupyter-binder" class="slide level2">
<h2>Jupyter Binder</h2>
<ul>
<li>Custom Jupyter from git repositories</li>
</ul>
<figure>
<img data-src="img/binder.png" alt="https://mybinder.org/" height="500" /><figcaption><a href="https://mybinder.org/" class="uri">https://mybinder.org/</a></figcaption>
</figure>
</section><section id="knowledge-repo" class="slide level2">
<h2>Knowledge-Repo</h2>
<figure>
<img data-src="img/knowledgerepo.png" alt="http://knowledge-repo.readthedocs.io/" /><figcaption><a href="http://knowledge-repo.readthedocs.io/" class="uri">http://knowledge-repo.readthedocs.io/</a></figcaption>
</figure>
</section></section>
<section><section id="conclusions" class="title-slide slide level1"><h1>Conclusions</h1></section><section id="lessons-learned" class="slide level2">
<h2>Lessons learned</h2>
<ul>
<li>Docker + Docker-compose
<ul>
<li>Reproducible environments (partially)</li>
<li>Reduced tooling / experience</li>
<li>Ephemeral containers force you to automate/document installation</li>
</ul></li>
<li>Jupyterhub
<ul>
<li>Shared environments</li>
<li>Web interface (zero knowledge)</li>
</ul></li>
</ul>
</section><section id="whats-missing" class="slide level2">
<h2>Whats missing?</h2>
<ul>
<li>Roles and permissions</li>
<li><p>Backups</p></li>
<li>Ideas:
<ul>
<li>Kubernetes?</li>
<li>OpenShift?</li>
</ul></li>
</ul>
</section><section id="thanks-for-listening" class="slide level2">
<h2>Thanks for listening!</h2>
<p><a href="https://github.com/balkian/lab-in-a-box" class="uri">https://github.com/balkian/lab-in-a-box</a></p>
<p><a href="mailto:jf.sanchez@upm.es">jf.sanchez@upm.es</a></p>
</section></section>
</div>
</div>
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---
title: Docker for research
subtitle: ... and data analysis
author: J. Fernando Sánchez (<jf.sanchez@upm>)
tags: [Docker, CI, research]
date: 2018
abstract: Talk about docker for research and data analysis
---
# Intro { .white data-background="img/intro.jpg"}
## Before we begin
Code available at:
<https://github.com/balkian/lab-in-a-box>
Live demos at:
**<https://github.todevnull.com>**
<https://lab.todevnull.com>
<https://hub.todevnull.com>
Feel free to log in, but try not to break them for now 😉
## My name is Fernando and...
![](img/im-a-researcher.jpg)
## At Grupo de Sistemas Inteligentes
:::::::::::::: {.columns}
::: {.column width="50%"}
![](img/gsi.png)
:::
::: {.column width="50%"}
- Machine Learning and Big Data
- NLP and Sentiment Analysis
- Social Network Analysis
- Agents and Simulation
- Linked Data and Semantic Technologies
:::
:::::::::::::::
<http://www.gsi.dit.upm.es>
## And I ❤ Docker
:::::::::::::: {.columns}
::: {.column width="50%"}
![](img/docker.jpg)
:::
::: {.column width="50%"}
* Docker+research for 3+ years
* Advocate for ~2 years
* Internal infrastructure: ansible, k8s and docker
* Teach (with) it
:::
::::::::::::::
## About this talk
Takeaway: ***you can set up a multi-user data analysis environment with isolation in minutes***
Plus: using docker to perform and share experiments is even easier
Related Meetups:
[Big Data and Machine Learning with Docker](https://www.meetup.com/Docker-Madrid/events/240357800/)
[Using Docker in Machine Learning Projects](https://www.meetup.com/Docker-Madrid/events/237067604/)
# For researchers {.white data-background="img/research.jpg" style="color:white"}
<!-- ## Research is about data -->
<!-- ![The scientific method](img/scientificmethod.png){.noborder height="500px"} -->
## Experiment, publish, repeat
![](img/peerreview.jpg)
## Reproducibility
![[\@ianholmes](https://twitter.com/ianholmes/status/288689712636493824)](img/goodluck.png)
## Obstacles
:::::::::::::: {.columns}
::: {.column width="50%"}
* **Missing data**
* Bleeding edge tools and libraries
* Throwaway software
* Hacky
* Little to no documentation
* Multiple languages
:::
::: {.column width="50%"}
![<https://xkcd.com/1742/>](img/will_it_work.png){ height=80% }
:::
::::::::::::::
## Obstacles
![](img/noidea-pc.png)
## Is it a problem?
![[https://www.nature.com/](https://www.nature.com/news/1-500-scientists-lift-the-lid-on-reproducibility-1.19970)](img/reproducibility.jpg){ height=80% }
## Jupyter notebooks
![](img/jupyter-screenshot.png)
## Jupyter architecture
![<http://jupyter.readthedocs.io>](img/jupyter-architecture.png)
## Docker to the rescue
![[towardsdatascience.com](https://towardsdatascience.com/how-docker-can-help-you-become-a-more-effective-data-scientist-7fc048ef91d5)](img/dockerrescue.png)
## Jupyter/docker-stacks
![](img/dockerstacks.png){ height=50% }
## Reproducible environment
```bash
docker run --rm -p 8888:8888 \
-v $(WDIR)/:/home/jovyan/work/ \
jupyter/scipy-notebook
```
## And friendly, too
```yaml
version: '2'
services:
jupyter:
image: jupyter/scipy-notebook
volumes:
- "./.nbconfig:/home/jovyan/.jupyter/nbconfig"
- "./work:/home/jovyan/work/"
ports:
- "8888:8888""
```
```bash
docker-compose up
```
## Related projects
* Using docker images to share trained systems
![<https://gym.openai.com>](img/gym.png){ height=500px }
# For small groups { .white data-background="img/group.jpeg" }
## Requirements
* Shared environments
* Resource sharing
* Easy configuration
* Versioning
* Backups
And **little to no overhead**
## Isolation
![](img/noidea.jpg)
## Jupyterhub
:::::::::::::: {.columns}
::: {.column width="60%"}
![<http://jupyterhub.readthedocs.io/>](img/jhub-parts.png){ height=500px }
:::
::: {.column width="40%"}
#### Authenticators
* Local
* OAuth
* LDAP
* JWT
#### Spawners
* Local
* Docker
* Kubernetes
* Marathon
:::
:::::::::::::::
## More infrastructure
![](img/docker-gitlab.jpg){.noborder height="250px"}
![](img/nextcloud.jpg){.noborder height="250px"}
![](img/sharelatex.jpg){.noborder height="250px"}
# Demo { data-background="img/party.jpg"}
## It's demo time
![](img/demogods.jpg){ height=80% }
<https://github.todevnull.com>
<https://github.com/balkian/lab-in-a-box>
# Other tools
## Zeppelin
* Alternative to Jupyter
![<https://zeppelin.apache.org/>](img/zeppelin.png)
## CoCalc
* Alternative to Jupyter
![<https://cocalc.org/>](img/cocalc.png){ height=500px }
## Docker-Nvidia
* CUDA for docker
![<https://github.com/NVIDIA/nvidia-docker>](img/dockernvidia.png)
## Jupyter Binder
* Custom Jupyter from git repositories
![<https://mybinder.org/>](img/binder.png){ height=500px }
## Knowledge-Repo
![<http://knowledge-repo.readthedocs.io/>](img/knowledgerepo.png)
# Conclusions
## Lessons learned
* Docker + Docker-compose
* Reproducible environments (partially)
* Reduced tooling / experience
* Ephemeral containers force you to automate/document installation
* Jupyterhub
* Shared environments
* Web interface (zero knowledge)
## What's missing?
* Roles and permissions
* Backups
* Ideas:
* Kubernetes?
* OpenShift?
## Thanks for listening!
<https://github.com/balkian/lab-in-a-box>
<jf.sanchez@upm.es>

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