Drinking from the Stream: How to Use Messaging Platforms for Scalability & Performance with Mark Heckler

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Drinking from the Stream: How to Use Messaging Platforms for Scalability & Performance with Mark Heckler at SpringOne Tour 2019

Software

Drinking from the Stream
How to use messaging platforms for
scalability & performance
Mark Heckler
Professional Problem Solver, Spring Developer & Advocate
www.thehecklers.com
mark@thehecklers.com
mheckler@pivotal.io
@mkheck

@mkheck www.thehecklers.com
Distributed systems are easy…right?

@mkheck www.thehecklers.com
Who am I?
• Author
• Architect & Developer
• Java Champion, Rockstar
• Professional Problem Solver
• Spring Developer & Advocate
• Creador y curador de

@mkheck www.thehecklers.com
Takeaways
Why use messaging platforms/where do they fit in a distributed
architecture?
Examples of leading messaging platforms
What is Spring Cloud Stream?
Why use it?

@mkheck www.thehecklers.com
The Bezos mandate
All teams will henceforth expose their data and functionality through service interfaces.
Teams must communicate with each other through these interfaces.
There will be no other form of interprocess communication allowed: no direct linking, no direct
reads of another team’s data store, no shared-memory model, no back-doors whatsoever. The
only communication allowed is via service interface calls over the network.
It doesn’t matter what technology is used: HTTP, CORBA, pub/sub, etc.
All service interfaces, without exception, must be designed from the ground up to be
externalizable. That is to say, the team must plan and design to be able to expose the interface to
developers in the outside world. No exceptions.
Anyone who doesn’t do this will be fired.

@mkheck www.thehecklers.com
The 12 Factor Manifesto
One codebase in revision control, many deploys
Explicitly declare & isolate dependencies
Store config in environment
Treat backing services as attached resources
Build, release, run
Stateless processes
Export services via port binding
Scale out via process model
Fast startup, graceful shutdown
Dev/prod parity
Treat logs as event streams
Admin (one off) processes

@mkheck www.thehecklers.com
SCSt + ${messaging.platform} =

@mkheck www.thehecklers.com
SinkProcessor
Power
Source

@mkheck www.thehecklers.com
Processor
Sink
Sink
Processor
Scalability
Source
Sink
Sink

@mkheck www.thehecklers.com
Processor
Sink
Sink
Processor
Flexibility
Source
Sink
Sink

@mkheck www.thehecklers.com
Processor
Sink
Sink
Processor
Versatility
Source
Sink
Sink

@mkheck www.thehecklers.com
Resources
https://github.com/mkheck/drinking-from-the-stream
https://cloud.spring.io/spring-cloud-stream/
mark@thehecklers.com, mheckler@pivotal.io
@mkheck on Twitter
Kotlin fan? https://github.com/mkheck/drinking-from-the-stream-kotlin

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Drinking from the Stream: How to Use Messaging Platforms for Scalability & Performance with Mark Heckler

1. Drinking from the Stream How to use messaging platforms for scalability & performance Mark Heckler Professional Problem Solver, Spring Developer & Advocate www.thehecklers.com mark@thehecklers.com mheckler@pivotal.io @mkheck

2. @mkheck www.thehecklers.com Distributed systems are easy…right?

3. @mkheck www.thehecklers.com Who am I? • Author • Architect & Developer • Java Champion, Rockstar • Professional Problem Solver • Spring Developer & Advocate • Creador y curador de

4. @mkheck www.thehecklers.com Takeaways Why use messaging platforms/where do they fit in a distributed architecture? Examples of leading messaging platforms What is Spring Cloud Stream? Why use it?

6. @mkheck www.thehecklers.com Takeaways Why use messaging platforms/where do they fit in a distributed architecture? Examples of leading messaging platforms What is Spring Cloud Stream? Why use it?

7. @mkheck www.thehecklers.com The Bezos mandate All teams will henceforth expose their data and functionality through service interfaces. Teams must communicate with each other through these interfaces. There will be no other form of interprocess communication allowed: no direct linking, no direct reads of another team’s data store, no shared-memory model, no back-doors whatsoever. The only communication allowed is via service interface calls over the network. It doesn’t matter what technology is used: HTTP, CORBA, pub/sub, etc. All service interfaces, without exception, must be designed from the ground up to be externalizable. That is to say, the team must plan and design to be able to expose the interface to developers in the outside world. No exceptions. Anyone who doesn’t do this will be fired.

8. @mkheck www.thehecklers.com The 12 Factor Manifesto One codebase in revision control, many deploys Explicitly declare & isolate dependencies Store config in environment Treat backing services as attached resources Build, release, run Stateless processes Export services via port binding Scale out via process model Fast startup, graceful shutdown Dev/prod parity Treat logs as event streams Admin (one off) processes

9. @mkheck www.thehecklers.com Takeaways Why use messaging platforms/where do they fit in a distributed architecture? Examples of leading messaging platforms What is Spring Cloud Stream? Why use it?

10. @mkheck www.thehecklers.com Takeaways Why use messaging platforms/where do they fit in a distributed architecture? Examples of leading messaging platforms What is Spring Cloud Stream? Why use it?

11. @mkheck www.thehecklers.com Takeaways Why use messaging platforms/where do they fit in a distributed architecture? Examples of leading messaging platforms What is Spring Cloud Stream? Why use it?

12. @mkheck www.thehecklers.com Takeaways Why use messaging platforms/where do they fit in a distributed architecture? Examples of leading messaging platforms What is Spring Cloud Stream? Why use it?

13. @mkheck www.thehecklers.com Why use it?

14. @mkheck www.thehecklers.com SCSt + ${messaging.platform} =

15. @mkheck www.thehecklers.com SinkProcessor Power Source

16. @mkheck www.thehecklers.com Processor Sink Sink Processor Scalability Source Sink Sink

17. @mkheck www.thehecklers.com Processor Sink Sink Processor Flexibility Source Sink Sink

18. @mkheck www.thehecklers.com Processor Sink Sink Processor Versatility Source Sink Sink

19. @mkheck www.thehecklers.com Let’s code!

20. @mkheck www.thehecklers.com

21. @mkheck www.thehecklers.com Resources https://github.com/mkheck/drinking-from-the-stream https://cloud.spring.io/spring-cloud-stream/ mark@thehecklers.com, mheckler@pivotal.io @mkheck on Twitter Kotlin fan? https://github.com/mkheck/drinking-from-the-stream-kotlin

Drinking from the Stream: How to Use Messaging Platforms for Scalability & Performance with Mark Heckler

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