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504 lines
15 KiB
504 lines
15 KiB
7 years ago
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<title>Flink Forward 2018</title>
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<meta name="description" content="Colocando uma aplicação Flask em produção em 40 minutos (ou menos)">
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<meta name="author" content="Julio Biason">
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Flink Forward 2018
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<img src="_images/ff_migration4.png" alt=""/>
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<!-- Exactly-Once Processing -->
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<section data-background="_images/ff_exactlyonce0.png"></section>
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<img src="_images/ff_exactlyonce1.png" alt=""/>
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<img src="_images/ff_exactlyonce2.png" alt=""/>
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<img src="_images/ff_exactlyonce3.png" alt=""/>
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</section>
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<!-- Deployment and FLIP-6 -->
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<section data-background="_images/ff_flip60.png"></section>
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<img src="_images/ff_flip61.png" alt=""/>
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<img src="_images/ff_flip62.png" alt=""/>
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<img src="_images/ff_flip63.png" alt=""/>
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<img src="_images/ff_flip64.png" alt=""/>
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<img src="_images/ff_flip65.png" alt=""/>
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<img src="_images/ff_flip66.png" alt=""/>
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<img src="_images/ff_flip67.png" alt=""/>
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</section>
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<!-- Running Flink 24-7 -->
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<section data-background="_images/ff_capacity0.png"></section>
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<img src="_images/ff_capacity1.png" alt=""/>
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<img src="_images/ff_capacity2.png" alt=""/>
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<!-- Metrics, Monitoring and Troubleshooting -->
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<section data-background="_images/ff_monitoring0.png"></section>
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<img src="_images/ff_monitoring1.png" alt=""/>
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<img src="_images/ff_monitoring2.png" alt=""/>
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<img src="_images/ff_monitoring3.png" alt=""/>
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<img src="_images/ff_monitoring4.png" alt=""/>
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</section>
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<img src="_images/ff_monitoring5.png" alt=""/>
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</section>
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<section>
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<img src="_images/ff_monitoring6.png" alt=""/>
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</section>
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</section>
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<section>
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<section data-background="_images/ff_daytwo.jpg">
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</section>
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<section>
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<table>
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<thead>
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<th>Keynotes</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>
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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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</tr>
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<tr>
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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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</tr>
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<tr>
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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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</tr>
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</tbody>
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</table>
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</section>
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<section>
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<table>
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<thead>
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<tr>
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<th>11:00</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>
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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
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- When a partition is created or destroyed a Flink TaskManager is created/destroyed
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- Pravega requires a key already
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</aside>
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</tr>
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<tr>
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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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</table>
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</section>
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<section>
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<img src="_images/ff_pravega.png" alt=""/>
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</section>
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<section>
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<table>
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<thead>
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<tr>
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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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<tr>
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<td class="seen">eBay monitoring platform preprocessing and alerting on Flink</br><small>Garret Li, ebay</small></td>
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<aside class="notes">
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- Sherlock.IO
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- "The Frink", nervous
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- Policy changes go through the pipeline
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- 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>
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</tr>
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</tbody>
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</table>
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</section>
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<section>
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<img src="_images/ff_sherlock.jpg" alt=""/>
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</section>
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<section>
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<img src="_images/ff_sherlock_policy.png" alt=""/>
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</section>
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<section>
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<thead>
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<tr><th>12:20</th></tr>
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</thead>
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<tbody>
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<tr><td>Scaling Flink in Cloud<br/><small>Steven Wu, Netflix</small></td></tr>
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<tr><td>Flink real-time analysis in CloudStream Service of Huawei Cloud<br/><small>Jinkui Shi, Huawei</small></td></tr>
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<tr>
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<td class="seen">Why and how to leverage the simplicity and power of SQL on Flink<br/><small>Fabian Hueske, data Artisans</small></td>
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<aside class="notes">
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- Built-in in Flink 1.5
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- Can create pipelines on the fly
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- Launches TaskManagers
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</aside>
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</tr>
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</tbody>
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</table>
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</section>
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<section>
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<img src="_images/ff_sql.png" alt=""/>
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</section>
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<section>
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<table>
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<thead><tr><th>2:00</th></tr></thead>
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<tbody>
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<tr><td>Optimizations in Blink Runtime for Global Shopping Festival at Alibaba<br><small>Feng Wang, Alibaba </small></td></tr>
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<tr>
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<td class="seen">Bootstrapping State In Apache Flink<br/><small>Gregory Fee, Lyft </small></td>
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<aside class="notes">
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- Lyft
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- Grouping all information, including old ones
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- Required for information of all rides of all users over all the time
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- Old data on S3, new data on Kafka
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- Multiple inputs
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- Old input will hold new input
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</aside>
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</tr>
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<tr><td>Panta Rhei: designing distributed applications with streams<br/><small> Aris Koliopoulos, Drivetribe </small></td></tr>
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</tbody>
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</table>
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||
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</section>
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<section>
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<img src="_images/ff_lyft.png" alt=""/>
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</section>
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<section>
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<table>
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<thead><tr><th>2:50</th></tr></thead>
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<tbody>
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<tr><td> Powering Tensorflor with Big Data (Apache BEAM & Flink) <br/><small> Holden Karau, Google Cloud </small></td></tr>
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<tr><td class="seen">Alibaba’s common algorithm platform on Flink<br/><small> Xu Yang, Alibaba </small></td></tr>
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<tr><td> Cloud Native Flink <br/><small> Jowanza Joseph, One Click Retail </small></td></tr>
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</tbody>
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</table>
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</section>
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<section>
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<table>
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<thead><tr><th>3:20</th></tr></thead>
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<tbody>
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<tr><td> Embedding Flink Throughout an Operationalized Streaming ML Lifecycle <br/><small> Dave Torok, Comcast Corporation </small></td></tr>
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<tr><td>Scaling Uber’s Realtime Optimization with Apache Flink <br/><small> Xingzhong Xu, Uber Technologies Inc. </small></td></tr>
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<tr>
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<td class="seen"> Operating Flink on Mesos at Scale <br/><small> Jörg Schad, Mesosphere </small></td>
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<aside class="notes">
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- Basically, the same Kubernetes does
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- Use of Kube or Mesos is a personal choice
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</aside>
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</tr>
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</tbody>
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</table>
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</section>
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<section>
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<img src="_images/ff_mesos.png" alt=""/>
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</section>
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<table>
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<thead><tr><th>4:30</th></tr></thead>
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<tbody>
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<tr>
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<td class="seen"> Finding Bad Acorns <br/><small> Andrew Gao, Capital One </small></td>
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<aside class="notes">
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- Teller validation
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- Python integration (because data scientists use Jupyter)
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- Queryable state
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- Broke the monolith
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</aside>
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</tr>
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<tr><td> dA Platform – Production-ready stream processing with Apache Flink <br/><small> Robert Metzger, data Artisans </small></td></tr>
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<tr><td> Real-time monitoring of Mobile Internet Quality of Experience using Flink <br/><small> David Reniz, Everis </small></td></tr>
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</tbody>
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||
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</table>
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</section>
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<section>
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<img src="_images/ff_acorns_python.png" alt=""/>
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</section>
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<section>
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<img src="_images/ff_acorns_state.png" alt=""/>
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</section>
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<section>
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<table>
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<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>
|