Lagom framework
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Lagom is a microservices framework for Java and Scala applications that is built on reactive principles. It uses microservices architecture with CQRS and event sourcing patterns. Key features include service and persistence APIs, development tools, and support for reactive asynchronous programming. Lagom helps developers create and manage microservices-based applications and services.
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Lagom framework
- 1. Lagom Framework for Reactive Microservices 김명주 bansuk78@naver.com
- 2. - 인터넷쇼핑몰 상품도메인 서버 개발자 - 아내 & 늦둥이 아들(21개월)과 성북구 거주 중
- 3. 저는 오늘 꽤 괜찮은 곰 하나를 소개하러 나왔습니다. L.A.Gom? https://www.fws.gov/lafayette/images/ESD_NO_Zoo_LA_Bear.jpg
- 4. Lagom : ‘just enough’ (라곰: 적당한 조화와 균형을 나타내는 스웨덴어) http://momo96841.tistory.com/38
- 5. InforWorld Feb 23, 2016 Java finally gets microservices tools (Java가 마침내 마이크로서비스 툴을 얻다) Lightbend's Lagom framework helps java developers create and manage microservices architectures. - By Paul Krill - Microservices-based architectures - Built on the Scala functional language - Lagom would compete with the Spring Boot application platform in some areas
- 7. • Microservices architecture • CQRS • Event Sourcing Lagom Architecture
- 9. https://docs.microsoft.com/en-us/azure/architecture/patterns/cqrs CQRS – Command Query Responsibility Segregations
- 11. about Lagom • Microservices framework for a system of microservices • Based on the Reactive Manifesto • A fully integrated development environment • Asynchronous & non blocking (default) • Distributed persistence (Event Sourcing & CQRS)
- 12. Language • Core of framework written in Scala • Developments are in Java, Scala(since v1.3.1)
- 13. Components • Java8(& Scala) • Immutables • SBT • Jackson • Cassandra • Play framework • Guice • Akka • SLF4J & Logback
- 14. Features • Service API • Persistence API • Developments Environment • Production Environment
- 15. Service API • Interface as descriptor • Defined API of exposed service
- 16. Persistence API • Event-sourced Entities • CQRS ReadSide • Entry point for events handlers
- 17. Developments Environment • One command to start all > sbt runAll • Hot reload code • IDE Integration
- 18. Production Environment • ConductR • Scaling • Deployment • Monitoring
- 19. Service Flow shop-api shop-impl Command Event State ReadSideProcessor Read data store Request Write data store Message Queue PersistentEntity
- 21. Demo
- 22. 개발하면서 느낀 점 • 성능이 좋다는데 아직 측정은 못해봤음 (당연한 얘기지만 Cluster를 늘 리면 늘릴수록 성능이 좋아진다는 자료가 있음) • 람다식 공부하기에 이보다 좋은 건 없을 듯 • 비동기식 코드에 동기식 코드를 넣지말라 (CompletableFuture<U>.get()) • 디버깅이 어렵다 (로그를 최대한 많이 남겨라 – Thread 번호로 확인) • Scala를 알아야…(‘printStackTrace()’ 를 따라가다 보면 어김 없이 만나게 되는 Scala 코드) • NoSQL은 역시나 비정규화로 인한 엄청난 중복 데이터가 발생 (관리의 어려움)
- 23. 이런 분들께 권합니다. - 호기심이 많아 새로운 것을 보면 그냥 지나치지 못하시는 분들 - 극한?의 람다식을 경험하고 Reactive(Asynchronous & non blocking), ES & CQRS에 자연스레 익숙해 지고 싶으신 분들 - 대용량 처리가 필요한 Microservices를 개발하시려는 분들
- 25. References • https://www.lagomframework.com • http://www.infoworld.com/article/3036518/application- development/java-finally-gets-microservices-tools.htm • https://martinfowler.com/articles/microservices.html • https://docs.microsoft.com/en- us/azure/architecture/patterns/cqrs • https://docs.microsoft.com/en- us/azure/architecture/patterns/event-sourcing