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R E T H I N K I N G Stream Processing With Apache Kafka, Kafka Streams and KSQL Kai Waehner Technology Evangelist [email protected] LinkedIn @KaiWaehner www.confluent.io www.kai-waehner.de Apache Kafka A Distributed, Scalable Commit Log 2 Apache Kafka A Distributed, Scalable Commit Log 3 Apache Kafka The Rise of a Streaming Platform 1.0 Enterprise Ready 0.11 Exactly-once Semantics Data Processing 0.10 (Streams API) 0.9 Data Integration (Connect API) Intra-cluster 0.8 replication 2013 2014 2015 2016 2017 2018 4 Apache Kafka The Rise of a Streaming Platform 5 Key concepts 6 Key concepts 7 Moving away from the Monolith 8 Microservices (aka Apps) Orders Service Fulfillment Stock Service Service Basket Service Payment Service 9 Microservices are Independently Deployable Orders Service Stock Fulfillment Service Service Basket Service Payment Service 10

Description:

With Apache Kafka, Kafka Streams and KSQL. Kai Waehner Ready. 0.10. Data Processing. (Streams API). 0.11. Exactly-once. Semantics. 2013 We want our apps to be: Scalable. Elastic Example: reading data from Kafka.

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R E T H I N K I N G Stream Processing With Apache Kafka, Kafka Streams and KSQL Kai Waehner Technology Evangelist [email protected] LinkedIn @KaiWaehner www.confluent.io www.kai-waehner.de Apache Kafka A Distributed, Scalable Commit Log 2 Apache Kafka A Distributed, Scalable Commit Log 3 Apache Kafka The Rise of a Streaming Platform 1.0 Enterprise Ready 0.11 Exactly-once Semantics Data Processing 0.10 (Streams API) 0.9 Data Integration (Connect API) Intra-cluster 0.8 replication 2013 2014 2015 2016 2017 2018 4 Apache Kafka The Rise of a Streaming Platform 5 Key concepts 6 Key concepts 7 Moving away from the Monolith 8 Microservices (aka Apps) Orders Service Fulfillment Stock Service Service Basket Service Payment Service 9 Microservices are Independently Deployable Orders Service Stock Fulfillment Service Service Basket Service Payment Service 10

Description:

With Apache Kafka, Kafka Streams and KSQL. Kai Waehner Ready. 0.10. Data Processing. (Streams API). 0.11. Exactly-once. Semantics. 2013 We want our apps to be: Scalable. Elastic Example: reading data from Kafka.

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