Reactive microservices

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This presentation is about my talk on TDC 2015. It is an invite for you to understand the most important topics about Reactive Programming associated with Microservices concept.

Software

Microservices
Architecting in a reactive way

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

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

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

Immutability
Avoid share mutable states and objects

Avoid Blocking
Kills Scalability and Performance

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

How do I know if I have a
performance problem?

How do I know if I have a
scalability problem?

The fallacy about
Distributed Computing
State and Objects
Transaction

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

Location
Transparency
“It is not about ESB stupid”

Resilience
“The capacity to recover
quickly from difficulties”

Old school way
Error
Response Worst in a
Multi Thread

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

Responsive
“Quick to respond or react
appropriately”

Asynchronous Events
Loosely coupled architecture
Lower Latency
Better Throughput

Performance
vs
Scalability
Latency
vs
Throughput
Availability
vs
Consistency

Reactive
“Readly responsive to a stimulus”

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Software Quality Assurance Interview Questions

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Reactive microservices

1. Microservices Architecting in a reactive way

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. The fallacy about Distributed Computing State and Objects Transaction

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

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

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

19. Old school way