Implementing Microservices with Scale and Akka

Implementing Microservices with Scale and Akka

Scala Days Conferences via YouTube Direct link

TOPICS FEEDER (THE CODE)

28 of 28

28 of 28

TOPICS FEEDER (THE CODE)

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Implementing Microservices with Scale and Akka

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  1. 1 Intro
  2. 2 INDUSTRY OF EXTREMES
  3. 3 WHY ACID? HOW DID BUSINESS WORK BEFORE
  4. 4 EXTREME: SERVICE SIZE MONOLITH MICRO
  5. 5 THINK INFRA- STRUCTURE
  6. 6 PRACTICAL?
  7. 7 BUILDING MICROSERVICES
  8. 8 WHAT IS THE SIZE OF A BOUNDED CONTEXT?
  9. 9 SHOULD IT HAVE JUST ONE ENTITY TYPE?
  10. 10 ASK YOUR UBIQUITOUS LANGUAGE
  11. 11 LINGUISTIC COMPONENTS ARE COHESIVE
  12. 12 LARGER THAN ONE ENTITY FAR SMALLER THAN A MONOLITH
  13. 13 UBIQUITOUS LANGUAGE IS GREATER THAN ENTITY NAMES
  14. 14 UBIQUITOUS LANGUAGE INCLUDES ENTITIES / COMMAND MESSAGES / EVENT MESSAGES
  15. 15 MICROSERVICE DATABASE(S)
  16. 16 QUERY MODEL
  17. 17 ACTORS ARE ASYNCHRONOUS SERVICES
  18. 18 RAPIDS: PUBLISH EVERY EVENT
  19. 19 HIGH-PERFORMANCE BUS REST (ATOM) KAFKA RABBITMO
  20. 20 PONDS: AGGREGATE ACTOR STATES
  21. 21 ACTORS EMIT EVENTS TO RAPIDS
  22. 22 RESILIENT PARENT CRASH DETECTION, NOT CLIENT
  23. 23 MESSAGE DRIVEN ACTORS ARE MESSAGE DRIVEN RAPIDS ARE MESSAGE DRIVEN
  24. 24 HOW TO IMPLEMENT MICROSERVICES SCALA & AKKA
  25. 25 SERVICE START UP (THE CODE)
  26. 26 PROCESS MANAGER WHEN NEEDED. OTHERWISE DON'T
  27. 27 ACTOR AGGREGATE (THE CODE)
  28. 28 TOPICS FEEDER (THE CODE)

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