Cloud Event Driven Architectures with Spring Cloud Stream 2.0

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Spring Cloud Stream Spring Cloud Task Spring Cloud Skipper Spring Flo Spring Cloud Data Flow Sabby Anandan | @sabbyanandan

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Event-centric Thinking Spring and Events Events in Action! 2

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Profound Customer Engagement Event-centric Thinking 3

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Real-time Matching Efficient Pickups/Drops Lower Prices Convenient Costs Less to Ride Still Reach on Time Customer: Rider(s) Improved Ride Opportunities More Income More Tips Effective Use of Time Customer: Driver 4

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Events A State Change: Something already happened —- it’s past Decouple senders and receivers in terms of identity System’s interaction with outside world Provide measurability and intent 5

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Connectivity to external world Cross-platform/service event visibility Imperative vs. Functional programming models Operating on events (content negotiation; transformation; etc.) In Developer View 6

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Spring Boot App Low level abstraction on top of Apache Kafka. Spring Kafka CLI Input KafkaListener Topic = s1p Apache Kafka payload=“hello world” 7

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Spring Boot App Enterprise Integration Patterns with Spring. Spring Integration Kafka CLI Input KafkaListener Apache Kafka Integration Flow Topic = s1pIntInput Topic = s1pIntOutput payload=“hello” payload=“HELLO -— HELLO” 8

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Spring Boot App Spring Boot App A event-driven microservices framework. Spring Cloud Stream Kafka Binder CLI Input Sink Apache Kafka / RabbitMQ / Amazon Kinesis / Google PubSub / Azure Event Hubs … Processor Topic = s1p.dest.in Topic = s1p.dest.out payload=“hello world” payload=“HELLO WORLD” 9

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Spring Kafka Spring Integration Kafka Spring Cloud Stream Kafka Binder Pluggable Binder Abstraction Partitioning Consumer Groups Message Headers Programming Model: - Imperative (eg: SI Channels) - Functional (eg: Kafka Streams, Reactor Flux) Content-type Negotiation Unit/IT Testing Framework Spring Cloud Stream 10

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Events in Action! Domain Driven Design; CQRS; Event Sourcing 11

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Vaughn Vernon, Domain-Driven Design Distilled 12

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Bounded Context 13

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Event Sourcing John Doe: User :Address region: US-CA 14

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John Doe: User :Address region: US-NY change my address 15

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John Doe: User :Address region: US-NY change my address :Event address changed :Event address changed 16

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Application State Append-only Log 17

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A Social Graph 18 :UserCreated John Doe :UserCreated Jane Cool :UserNameChanged Michelle Bryan :UserActivated Yulia Zack

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Customer Engagement 19 Friends Nearby Basketball Event Nearby New Movie!

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Analytics on Real-time Events Top-5 States with “New Users” in a 30 seconds Tumbling Window CA HI IL PA NY 20

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CA HI IL PA NY 21 Spring Cloud Data Flow

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Resources SK, SIK, SCStK -> https://github.com/sabbyanandan/springonetour2018 EDA -> https://github.com/sabbyanandan/eda State or Events? Which shall I keep? (Kenny B.; Jakub P.) Deconstructing Monoliths with DDD (Rohit K.;David T.; Rohit S.) Experimentation Using Event-based Systems (Martin F.; Toby C.) 22