You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
524 lines
15 KiB
524 lines
15 KiB
<!doctype html> |
|
<html lang="en"> |
|
<head> |
|
<meta charset="utf-8"> |
|
|
|
<title>Flink Forward 2018</title> |
|
|
|
<meta name="description" content="Colocando uma aplicação Flask em produção em 40 minutos (ou menos)"> |
|
<meta name="author" content="Julio Biason"> |
|
|
|
<meta name="apple-mobile-web-app-capable" content="yes"> |
|
<meta name="apple-mobile-web-app-status-bar-style" content="black-translucent"> |
|
|
|
<meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=no, minimal-ui"> |
|
|
|
<link rel="stylesheet" href="reveal.js/css/reveal.css"> |
|
<link rel="stylesheet" href="theme/azion.css" id="theme"> |
|
|
|
<!-- Code syntax highlighting --> |
|
<link rel="stylesheet" href="reveal.js/lib/css/zenburn.css"> |
|
|
|
<!-- Printing and PDF exports --> |
|
<script> |
|
var link = document.createElement( 'link' ); |
|
link.rel = 'stylesheet'; |
|
link.type = 'text/css'; |
|
link.href = window.location.search.match( /print-pdf/gi ) ? 'css/print/pdf.css' : 'css/print/paper.css'; |
|
document.getElementsByTagName( 'head' )[0].appendChild( link ); |
|
</script> |
|
|
|
<!--[if lt IE 9]> |
|
<script src="lib/js/html5shiv.js"></script> |
|
<![endif]--> |
|
|
|
<style type="text/css" media="screen"> |
|
.happy { |
|
color: yellow; |
|
} |
|
|
|
.reveal section img { |
|
border: none; |
|
} |
|
|
|
.reveal ul.empty { |
|
list-style: none outside; |
|
} |
|
|
|
li { |
|
display: block; |
|
} |
|
|
|
.cursor { |
|
background-color: #666; |
|
color: white; |
|
} |
|
|
|
img { |
|
max-height: 90%; |
|
} |
|
|
|
td.seen { |
|
font-style: italic; |
|
font-weight: bold; |
|
} |
|
</style> |
|
</head> |
|
|
|
<body> |
|
<div class="reveal"> |
|
<div class="slides"> |
|
<section> |
|
<section data-background="_images/ff_logo.png" data-tile> |
|
<h1 class="semi-opaque"> |
|
Flink Forward 2018 |
|
</h1> |
|
</section> |
|
</section> |
|
|
|
<section> |
|
<section> |
|
<h2>About Flink Forward 2018</h2> |
|
|
|
<ul> |
|
<li>09-10 Abril 2018</li> |
|
<li>Organized by dataArtisans</li> |
|
</ul> |
|
</section> |
|
|
|
<section> |
|
<img src="_images/ff_map.png" alt=""/> |
|
|
|
<p> |
|
THE VILLAGE<br/> |
|
969 Market Street<br/> |
|
San Francisco, CA |
|
</p> |
|
</section> |
|
</section> |
|
|
|
<section> |
|
<section data-background="_images/ff_dayone.jpg"> |
|
</section> |
|
|
|
<section data-background="_images/ff_watermarks0.png"> |
|
</section> |
|
|
|
<section> |
|
<img src="_images/ff_watermark1.png" alt=""/> |
|
</section> |
|
|
|
<section> |
|
<img src="_images/ff_watermark2.png" alt=""/> |
|
</section> |
|
|
|
<section> |
|
<img src="_images/ff_watermark3.png" alt=""/> |
|
</section> |
|
|
|
<section> |
|
<img src="_images/ff_watermark4.png" alt=""/> |
|
</section> |
|
|
|
<section> |
|
<img src="_images/ff_watermark5.png" alt=""/> |
|
</section> |
|
|
|
<section data-background="_images/ff_broadcast0.png"></section> |
|
|
|
<section> |
|
<img src="_images/ff_broadcast1.png" alt=""/> |
|
</section> |
|
|
|
<section data-background="_images/ff_state0.png"></section> |
|
|
|
<section> |
|
<img src="_images/ff_state1.png" alt=""/> |
|
</section> |
|
|
|
<section> |
|
<img src="_images/ff_state2.png" alt=""/> |
|
</section> |
|
|
|
<section> |
|
<img src="_images/ff_state3.png" alt=""/> |
|
</section> |
|
|
|
<section> |
|
<img src="_images/ff_state4.png" alt=""/> |
|
</section> |
|
|
|
<section> |
|
<img src="_images/ff_state5.png" alt=""/> |
|
</section> |
|
|
|
<section> |
|
<img src="_images/ff_state6.png" alt=""/> |
|
</section> |
|
|
|
<!-- Testing Harnesses for Operators --> |
|
<section data-background="_images/ff_harness0.png"></section> |
|
<section> |
|
<img src="_images/ff_harness1.png" alt=""/> |
|
</section> |
|
|
|
<!-- State and Schema Migration --> |
|
<section data-background="_images/ff_migration0.png"></section> |
|
<section> |
|
<img src="_images/ff_migration1.png" alt=""/> |
|
</section> |
|
<section> |
|
<img src="_images/ff_migration2.png" alt=""/> |
|
</section> |
|
<section> |
|
<img src="_images/ff_migration3.png" alt=""/> |
|
</section> |
|
<section> |
|
<img src="_images/ff_migration4.png" alt=""/> |
|
</section> |
|
|
|
<!-- Exactly-Once Processing --> |
|
<section data-background="_images/ff_exactlyonce0.png"></section> |
|
<section> |
|
<img src="_images/ff_exactlyonce1.png" alt=""/> |
|
</section> |
|
<section> |
|
<img src="_images/ff_exactlyonce2.png" alt=""/> |
|
</section> |
|
<section> |
|
<img src="_images/ff_exactlyonce3.png" alt=""/> |
|
</section> |
|
|
|
<!-- Deployment and FLIP-6 --> |
|
<section data-background="_images/ff_flip60.png"></section> |
|
<section> |
|
<img src="_images/ff_flip61.png" alt=""/> |
|
</section> |
|
<section> |
|
<img src="_images/ff_flip62.png" alt=""/> |
|
</section> |
|
<section> |
|
<img src="_images/ff_flip63.png" alt=""/> |
|
</section> |
|
<section> |
|
<img src="_images/ff_flip64.png" alt=""/> |
|
</section> |
|
<section> |
|
<img src="_images/ff_flip65.png" alt=""/> |
|
</section> |
|
<section> |
|
<img src="_images/ff_flip66.png" alt=""/> |
|
</section> |
|
<section> |
|
<img src="_images/ff_flip67.png" alt=""/> |
|
</section> |
|
|
|
<!-- Running Flink 24-7 --> |
|
<section data-background="_images/ff_capacity0.png"></section> |
|
<section> |
|
<img src="_images/ff_capacity1.png" alt=""/> |
|
</section> |
|
<section> |
|
<img src="_images/ff_capacity2.png" alt=""/> |
|
</section> |
|
|
|
<!-- Metrics, Monitoring and Troubleshooting --> |
|
<section data-background="_images/ff_monitoring0.png"></section> |
|
<section> |
|
<img src="_images/ff_monitoring1.png" alt=""/> |
|
</section> |
|
<section> |
|
<img src="_images/ff_monitoring2.png" alt=""/> |
|
</section> |
|
<section> |
|
<img src="_images/ff_monitoring3.png" alt=""/> |
|
</section> |
|
<section> |
|
<img src="_images/ff_monitoring4.png" alt=""/> |
|
</section> |
|
<section> |
|
<img src="_images/ff_monitoring5.png" alt=""/> |
|
</section> |
|
<section> |
|
<img src="_images/ff_monitoring6.png" alt=""/> |
|
</section> |
|
</section> |
|
|
|
<section> |
|
<section data-background="_images/ff_daytwo.jpg"> |
|
</section> |
|
|
|
<section> |
|
<table> |
|
<thead> |
|
<tr> |
|
<th>Keynotes</th> |
|
</tr> |
|
</thead> |
|
<tbody> |
|
<tr> |
|
<td> |
|
What turns stream processing from a tool into a platform?<br/> |
|
<small>Stephan Ewen, data Artisans</small> |
|
</td> |
|
</tr> |
|
|
|
<tr> |
|
<td> |
|
Stream Processing Revolutionizing Big Data<br/> |
|
<small> |
|
Srikanth Satya, Dell EMC |
|
</small> |
|
</td> |
|
</tr> |
|
|
|
<tr> |
|
<td> |
|
Apache Flink + Apache Beam: Expanding the horizons of Big Data<br/> |
|
<small> |
|
Anand Iyer, Google Cloud |
|
</small> |
|
</td> |
|
</tr> |
|
</tbody> |
|
</table> |
|
</section> |
|
|
|
<section> |
|
<table> |
|
<thead> |
|
<tr> |
|
<th>11:00</th> |
|
</tr> |
|
</thead> |
|
<tbody> |
|
<tr> |
|
<td> |
|
Powering Yelp’s Data Pipeline Infrastructure with Apache Flink</br><small>Enrico Canzonieri, Yelp Inc.</small> |
|
</td> |
|
</tr> |
|
|
|
<tr> |
|
<td class="seen"> |
|
Scaling stream data pipelines <br/><small>Flavio Junqueira, Pravega by DellEMC</small> |
|
</td> |
|
|
|
<aside class="notes"> |
|
- Pravega |
|
- Kinda like Kafka |
|
- Auto-partition |
|
- When a partition is created or destroyed a Flink TaskManager is created/destroyed |
|
- Pravega requires a key already |
|
</aside> |
|
</tr> |
|
|
|
<tr> |
|
<td> |
|
Building a scalable focused web crawler with Flink <br/><small>Ken Krugler, Scale Unlimited</small> |
|
</td> |
|
</tr> |
|
</tbody> |
|
</table> |
|
</section> |
|
|
|
<section> |
|
<img src="_images/ff_pravega.png" alt=""/> |
|
</section> |
|
|
|
<section> |
|
<table> |
|
<thead> |
|
<tr> |
|
<th>11:50</th> |
|
</tr> |
|
</thead> |
|
|
|
<tbody> |
|
<tr> |
|
<td>Building Flink As a Service platform at Uber</br><small>Shuyi Chen, Uber</small></td> |
|
</tr> |
|
|
|
<tr> |
|
<td class="seen">eBay monitoring platform preprocessing and alerting on Flink</br><small>Garret Li, ebay</small></td> |
|
<aside class="notes"> |
|
- Sherlock.IO |
|
- "The Frink", nervous |
|
- Policy changes go through the pipeline |
|
- https://vimeo.com/265025956/c7d5576622 |
|
</aside> |
|
</tr> |
|
|
|
<tr> |
|
<td>Using Flink for balances and controls across platform boundaries<br/><small>Faraz Babar, American Express</small></td> |
|
</tr> |
|
</tbody> |
|
</table> |
|
</section> |
|
|
|
<section> |
|
<img src="_images/ff_sherlock.jpg" alt=""/> |
|
</section> |
|
|
|
<section> |
|
<img src="_images/ff_sherlock_policy.png" alt=""/> |
|
</section> |
|
|
|
<section> |
|
<table> |
|
<thead> |
|
<tr><th>12:20</th></tr> |
|
</thead> |
|
|
|
<tbody> |
|
<tr><td>Scaling Flink in Cloud<br/><small>Steven Wu, Netflix</small></td></tr> |
|
<tr><td>Flink real-time analysis in CloudStream Service of Huawei Cloud<br/><small>Jinkui Shi, Huawei</small></td></tr> |
|
<tr> |
|
<td class="seen">Why and how to leverage the simplicity and power of SQL on Flink<br/><small>Fabian Hueske, data Artisans</small></td> |
|
<aside class="notes"> |
|
- Built-in in Flink 1.5 |
|
- Can create pipelines on the fly |
|
- Launches TaskManagers |
|
</aside> |
|
</tr> |
|
</tbody> |
|
</table> |
|
</section> |
|
|
|
<section> |
|
<img src="_images/ff_sql.png" alt=""/> |
|
</section> |
|
|
|
<section> |
|
<table> |
|
<thead><tr><th>2:00</th></tr></thead> |
|
<tbody> |
|
<tr><td>Optimizations in Blink Runtime for Global Shopping Festival at Alibaba<br><small>Feng Wang, Alibaba </small></td></tr> |
|
<tr> |
|
<td class="seen">Bootstrapping State In Apache Flink<br/><small>Gregory Fee, Lyft </small></td> |
|
<aside class="notes"> |
|
- Lyft |
|
- Grouping all information, including old ones |
|
- Required for information of all rides of all users over all the time |
|
- Old data on S3, new data on Kafka |
|
- Multiple inputs |
|
- Old input will hold new input |
|
</aside> |
|
</tr> |
|
<tr><td>Panta Rhei: designing distributed applications with streams<br/><small> Aris Koliopoulos, Drivetribe </small></td></tr> |
|
</tbody> |
|
</table> |
|
</section> |
|
|
|
<section> |
|
<img src="_images/ff_lyft.png" alt=""/> |
|
</section> |
|
|
|
<section> |
|
<table> |
|
<thead><tr><th>2:50</th></tr></thead> |
|
<tbody> |
|
<tr><td> Powering Tensorflor with Big Data (Apache BEAM & Flink) <br/><small> Holden Karau, Google Cloud </small></td></tr> |
|
<tr><td class="seen">Alibaba’s common algorithm platform on Flink<br/><small> Xu Yang, Alibaba </small></td></tr> |
|
<tr><td> Cloud Native Flink <br/><small> Jowanza Joseph, One Click Retail </small></td></tr> |
|
</tbody> |
|
</table> |
|
</section> |
|
|
|
<section> |
|
<table> |
|
<thead><tr><th>3:20</th></tr></thead> |
|
<tbody> |
|
<tr><td> Embedding Flink Throughout an Operationalized Streaming ML Lifecycle <br/><small> Dave Torok, Comcast Corporation </small></td></tr> |
|
<tr><td>Scaling Uber’s Realtime Optimization with Apache Flink <br/><small> Xingzhong Xu, Uber Technologies Inc. </small></td></tr> |
|
<tr> |
|
<td class="seen"> Operating Flink on Mesos at Scale <br/><small> Jörg Schad, Mesosphere </small></td> |
|
<aside class="notes"> |
|
- Basically, the same Kubernetes does |
|
- Use of Kube or Mesos is a personal choice |
|
</aside> |
|
</tr> |
|
</tbody> |
|
</table> |
|
</section> |
|
|
|
<section> |
|
<img src="_images/ff_mesos.png" alt=""/> |
|
</section> |
|
|
|
<section> |
|
<table> |
|
<thead><tr><th>4:30</th></tr></thead> |
|
<tbody> |
|
<tr> |
|
<td class="seen"> Finding Bad Acorns <br/><small> Andrew Gao, Capital One </small></td> |
|
<aside class="notes"> |
|
- Teller validation |
|
- Python integration (because data scientists use Jupyter) |
|
- Queryable state |
|
- Broke the monolith |
|
</aside> |
|
</tr> |
|
<tr><td> dA Platform – Production-ready stream processing with Apache Flink <br/><small> Robert Metzger, data Artisans </small></td></tr> |
|
<tr><td> Real-time monitoring of Mobile Internet Quality of Experience using Flink <br/><small> David Reniz, Everis </small></td></tr> |
|
</tbody> |
|
</table> |
|
</section> |
|
|
|
<section> |
|
<img src="_images/ff_acorns_python.png" alt=""/> |
|
</section> |
|
|
|
<section> |
|
<img src="_images/ff_acorns_state.png" alt=""/> |
|
</section> |
|
|
|
<section> |
|
<table> |
|
<thead><tr><th>5:20</th></tr></thead> |
|
<tbody> |
|
<tr><td> How to build a modern stream processor: The science behind Apache Flink <br/><small> Stefan Richter, data Artisans </small></td></tr> |
|
<tr> |
|
<td class="seen"> Testing Stateful Streaming Applications <br/><small> Seth Wiesman, MediaMath </small></td> |
|
<aside class="notes"> |
|
- Math guy |
|
- Test pipeline, break pipeline to test checkpoint |
|
- WHYYYYY?!?!?! |
|
</aside> |
|
</tr> |
|
<tr><td> Extending Flink metrics: Real-time BI atop existing Flink streaming pipelines <br/><small> Andrew Torson, Walmart Labs </small></td></tr> |
|
</tbody> |
|
</table> |
|
</section> |
|
</section> |
|
</div> |
|
</div> |
|
|
|
<script src="reveal.js/lib/js/head.min.js"></script> |
|
<script src="reveal.js/js/reveal.js"></script> |
|
|
|
<script> |
|
// Full list of configuration options available at: |
|
// https://github.com/hakimel/reveal.js#configuration |
|
Reveal.initialize({ |
|
controls: true, |
|
progress: true, |
|
history: true, |
|
center: true, |
|
// showNotes: true, |
|
|
|
transition: 'slide', // none/fade/slide/convex/concave/zoom |
|
|
|
// Optional reveal.js plugins |
|
dependencies: [ |
|
{ src: 'reveal.js/lib/js/classList.js', condition: function() { return !document.body.classList; } }, |
|
{ src: 'reveal.js/plugin/markdown/marked.js', condition: function() { return !!document.querySelector( '[data-markdown]' ); } }, |
|
{ src: 'reveal.js/plugin/markdown/markdown.js', condition: function() { return !!document.querySelector( '[data-markdown]' ); } }, |
|
{ src: 'reveal.js/plugin/highlight/highlight.js', async: true, callback: function() { hljs.initHighlightingOnLoad(); } }, |
|
{ src: 'reveal.js/plugin/zoom-js/zoom.js', async: true }, |
|
{ src: 'reveal.js/plugin/notes/notes.js', async: true } |
|
] |
|
}); |
|
</script> |
|
|
|
</body> |
|
</html>
|
|
|