Julio Biason
7 years ago
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Flink Forward 2018 |
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<img src="_images/ff_monitoring4.png" alt=""/> |
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<img src="_images/ff_monitoring5.png" alt=""/> |
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<img src="_images/ff_monitoring6.png" alt=""/> |
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<th>Keynotes</th> |
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<td> |
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What turns stream processing from a tool into a platform?<br/> |
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<small>Stephan Ewen, data Artisans</small> |
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</td> |
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Stream Processing Revolutionizing Big Data<br/> |
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<small> |
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Srikanth Satya, Dell EMC |
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</small> |
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</td> |
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<td> |
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Apache Flink + Apache Beam: Expanding the horizons of Big Data<br/> |
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<small> |
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Anand Iyer, Google Cloud |
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</small> |
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</td> |
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<th>11:00</th> |
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</thead> |
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<tbody> |
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<td> |
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Powering Yelp’s Data Pipeline Infrastructure with Apache Flink</br><small>Enrico Canzonieri, Yelp Inc.</small> |
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</td> |
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</tr> |
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<tr> |
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<td class="seen"> |
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Scaling stream data pipelines <br/><small>Flavio Junqueira, Pravega by DellEMC</small> |
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</td> |
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<aside class="notes"> |
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|
- Pravega |
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- Kinda like Kafka |
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- Auto-partition |
||||||
|
- When a partition is created or destroyed a Flink TaskManager is created/destroyed |
||||||
|
- Pravega requires a key already |
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<td> |
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Building a scalable focused web crawler with Flink <br/><small>Ken Krugler, Scale Unlimited</small> |
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</td> |
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</tr> |
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</tbody> |
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<img src="_images/ff_pravega.png" alt=""/> |
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<th>11:50</th> |
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</tr> |
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</thead> |
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<tbody> |
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<tr> |
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<td>Building Flink As a Service platform at Uber</br><small>Shuyi Chen, Uber</small></td> |
||||||
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</tr> |
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||||||
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<tr> |
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<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 |
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|
</aside> |
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</tr> |
||||||
|
|
||||||
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<tr> |
||||||
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<td>Using Flink for balances and controls across platform boundaries<br/><small>Faraz Babar, American Express</small></td> |
||||||
|
</tr> |
||||||
|
</tbody> |
||||||
|
</table> |
||||||
|
</section> |
||||||
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|
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<section> |
||||||
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<img src="_images/ff_sherlock.jpg" alt=""/> |
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<thead> |
||||||
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<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> |
||||||
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</tbody> |
||||||
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||||||
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</section> |
||||||
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|
||||||
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<section> |
||||||
|
<img src="_images/ff_sql.png" alt=""/> |
||||||
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</section> |
||||||
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|
||||||
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<section> |
||||||
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<table> |
||||||
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<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> |
||||||
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<table> |
||||||
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<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> |
||||||