Streaming, Fast and Slow——Caito Scherr

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1.STREAMING, FAST AND SLOW June 2020 Caito Scherr Caito_200_OK

2. Who am I? • Caito Scherr • Portland, OR, USA • Software Engineer • Apache Flink Caito_200_OK

3. Agenda Background Integration Operations Analytics Caito_200_OK

4. Agenda Background Integration Operations Analytics Caito_200_OK

5. Agenda Background Integration Operations Analytics Caito_200_OK

6. Agenda Background Integration Operations Analytics Caito_200_OK

7.BACKGROUND Caito_200_OK

8. Background Product A usage Product B usage Product C usage Data pipeline Data Store, UI Subscription Info Account Info Caito_200_OK

9.Background Caito_200_OK

10.STREAMING, FAST AND SLOW Caito_200_OK

11.Speed Caito_200_OK

12.… Like training for your first marathon Caito_200_OK

13.… Like training for a new marathon Caito_200_OK

14.… Like training for a new marathon Caito_200_OK

15.… Like training for a new marathon Caito_200_OK

16. … Like training for a new marathon Integration Caito_200_OK

17. … Like training for a new marathon Integration Operations Caito_200_OK

18. … Like training for a new marathon Integration Operations Analytics Caito_200_OK

19.INTEGRATION Caito_200_OK

20. Ecosystem Some of the best features of stream processing for your team can also be the biggest drawbacks for teams that interact with you. Caito_200_OK

21. Ecosystem Start by assuming each team may be treating their data differently from the next. Caito_200_OK

22. Ecosystem Optimize for: understanding your application’s impact, and allowing that data to drive the architecture and design process. Caito_200_OK

23.Streaming Community Caito_200_OK

24.Streaming Community Documentation that is interactive, A safe space for others to experiment, And, take a map! Caito_200_OK

25.Streaming Community Caito_200_OK

26. Streaming Community Don’t underestimate the power of a good map Caito_200_OK

27.OPERATIONS Caito_200_OK

28. Resources Can your resources handle this new challenge? Caito_200_OK

29.ANALYTICS Caito_200_OK

StreamNative 是一家围绕 Apache Pulsar 和 Apache BookKeeper 打造下一代流数据平台的开源基础软件公司。秉承 Event Streaming 是大数据的未来基石、开源是基础软件的未来这两个理念,专注于开源生态和社区的构建,致力于前沿技术。