This presentation is about my talk on TDC 2015. It is an invite for you to understand and know more about reactive programming and vert.x to develop your microservices. References: Vertx Documentation > http://vertx.io/docs/ Martin Fowler > http://martinfowler.com/articles/microservices.html Reactive Manifesto > http://reactivemanifesto.org

1. Microservices
In the beginning there was Vert.x

2. Braz, Anderson
Software Engineer
Java Man since 2000, postgradute,
open source contributor, speaker
and training consultant
mrbrazjava

3. Monolith Microservices

6. Why is responsiveness
now more important than
ever?
Mobile
Devices
Cloud
Environment
Multicore
Architecture
Real-timeInteractive Collaborative

7. Reactive
“Readly responsive to a stimulus”
Responsive
(React to Users)
Resilient
(React to Failure)
Elastic
(React to Load)
Message Driven
(React to Events)

8. Message Driven
“The flow of the program is determined by events”

9. Immutability
Avoid share mutable states and
objects

10. Avoid Blocking
Kills Scalability and Performance

11. Elastic
“Capable of being easily
expanded or upgraded on demand”

12. How do I know if I have a
performance problem?

13. How do I know if I have a
scalability problem?

14. The network is
inherently unreliable

15. Embrace the network
“Be of the web, not behind the web”

16. Location
Transparency
“It is not about ESB stupid”

17. Resilience
“The capacity to recover
quickly from difficulties”

18. Old school way

19. Old school way
Error
Response Worst in a
Multi Thread

20. Worst in a
Multi
Thread
Old school way

22. Doing Better
Failure is
an Event
Avoid
Cascading
Manage
locally
Isolate
the failure

23. Responsive
“Quick to respond or react
appropriately”

24. Asynchronous Events
Loosely coupled architecture
Lower Latency
Better Throughput

25. Vert.x
Lightweight
Reactive
Polyglot
Middleware

26. Verticles
Non-Blocking
Event Loop
Scalable
Simple

27. Worker
Blocking
Worker Loop
Non-concurrent
Verticle

28. Event Bus
Point 2 Point
Pub/Sub
Handlers
Addressing

29. Server and Client
HTTP/S and TCP

30. File System
Both Blocking and Non-blocking

31. Shared Data
Local and Distributed using
Hazelcast

32. High Availability
Cluster Manager using Hazelcast
with automatic failover

33. Rich Ecosystem
Asynchronous
JDBC, Mongo, Redis
Web &
Microservices
Autentication &
Ãuthorization
Metrics
(Dropwizard)
Openshift &
Docker
Unit Test

34. Braz, Anderson
Software Engineer
Java Man since 2000, postgradute,
open source contributor, speaker
and training consultant
mrbrazjava