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Living without REST: Event-Driven Architecture Edson Yanaga Director of Developer Experience @yanaga

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Edson Yanaga @yanaga

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Edson Yanaga @yanaga - Follow: - With a picture of the session - Mention @yanaga - With hashtag #fullstackporto Raffle Rules

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https://bit.ly/mono2microdb

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Code is easy, state is hard

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Join developers.redhat.com 6 HTTP + REST

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Latency Availability Performance

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Cache and/or Polling

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Eventual Consistency

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Join developers.redhat.com 10 First, a look back at the past…

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How was data managed 10 years ago?

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Terrified about Entity Beans

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Hibernate to the rescue!

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Replacing XML with @Annotations

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POJOs as an (Anemic) Domain Model

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Event Sourcing

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Join developers.redhat.com 17 ID CUSTOMER_ID BALANCE 1001 990 1000 1002 991 0 1003 991 -500 1004 992 300 Account

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Join developers.redhat.com 18 ID ACCOUNT_ID TIMESTAMP OP AMOUNT 1 1001 1234567890 C 1000 2 1002 1234567891 C 200 3 1001 1234567900 D 300 4 1001 1234567995 D 150 Transactions

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Enables you to think in the Events that happened in the system

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CQS (Command-Query Separation) “Asking a question should not change the answer” (Bertrand Meyer)

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CQRS (Command Query Responsibility Segregation)

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Join developers.redhat.com 22 CQRS (Command Query Responsibility Segregation)

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Join developers.redhat.com 23 ID NAME PHONE ADDRESS BIRTH 1 Burr 222-222-2323 901 South St 12/12/1968 2 Edson 222-333-3434 112 North Dr 03/03/1978 3 John 111-456-4545 666 Iron St 06/06/1966 4 Doe 333-789-7890 777 Boeing Dr 07/07/1977 INSERT INTO CUSTOMER(ID,NAME,PHONE,ADDRESS,BIRTH); SELECT * FROM CUSTOMER;

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Join developers.redhat.com 24 SELECT ID, NAME, PHONE FROM CUSTOMER; SELECT ID, NAME, ADDRESS FROM CUSTOMER;

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Join developers.redhat.com 25 CQRS with separate data stores

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Join developers.redhat.com 26 SELECT ID, NAME, AGE, AVG_BILL FROM CUSTOMER_REPORT_VIEW; SELECT ID, PHONE, LAST_PAYMENT_AMOUNT FROM CUSTOMER_BILLING_VIEW;

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CQRS & Event Sourcing

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Join developers.redhat.com 28 ID CUSTOMER_ID BALANCE 1001 990 1000 1002 991 0 1003 991 -500 1004 992 300 Account ID ACCOUNT_ID TIMESTAMP OP AMOUNT 1 1001 1234567890 C 1000 2 1002 1234567891 C 200 3 1001 1234567900 D 300 4 1001 1234567995 D 150 Transactions

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Join developers.redhat.com 29 ID CUSTOMER_ID BALANCE 1001 990 1000 1002 991 0 1003 991 -500 1004 992 300 Account ID ACCOUNT_ID TIMESTAMP OP AMOUNT 1 1001 1234567890 C 1000 2 1002 1234567891 C 200 3 1001 1234567900 D 300 4 1001 1234567995 D 150 Transactions READ MODEL WRITE MODEL

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Why CQRS?

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Performance

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Distribution Availability Integration Analytics

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Join developers.redhat.com 33 Canonical Source of Information (Write Data Store)

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Join developers.redhat.com 34 Canonical Source of Information (Write Data Store) Read Data Store Read Data Store

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Join developers.redhat.com 35 Canonical Source of Information (Write Data Store) Read Data Store Read Data Store Events Events

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Join developers.redhat.com 36 Now, Back to the Future!

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Event-Driven Architecture

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Events are facts that happened in the system

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Low-level Events vs Domain-level Events

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Key Technologies

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ActiveMQ Artemis Kafka Camel Debezium Quarkus Microprofile

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Join developers.redhat.com 42 bit.ly/eda-tutorial

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Join developers.redhat.com Feedback welcome! @yanaga

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plus.google.com/+RedHat linkedin.com/company/red-hat youtube.com/user/RedHatVideos facebook.com/redhatinc twitter.com/RedHatNews Thank you!