Share your data in event streams
Share your data in event streams
Mattias Lögdberg
Mattias Lögdberg
Solution Architect
Azure Specialist
Microsoft MVP
International Speaker
http://mlogdberg.com
MLogdberg
MLogdberg
https://se.linkedin.com/in/logdberg
Make your data work for you
• New Services
• Monetize on your data
• Gain advantage by your data
• Take actions based on Data
Share your data in event streams
Where your data is and where it need’s to be
Product
Product
A B
Distributed log
Designing Event Driven Systems – Ben Stopford
The nature of events
• Represents something that has happened
• PAST-TENSE: OrderCreated, ProductShipped
• Are Immutable
• Intentless
• Can be disregarded/ignored
• Can not be retracted
• Can not be deleted
• Can invalidate existing facts
Jonas Bonér, https://www.infoq.com/presentations/microservices-events-first-design
Product
Service
A
Service
B
Service
C
Sales
History
Example scenario
Example Scenario
Product
Scenario: Product information management
Product
Product BizTalk
Demo part 1: Event publishing
Demo part 2: Event Consuming
Product
get /product/{id}
get /supergroup/{no}
Share your data in event streams
Complex
framework
Micro-
functionality
Outside
client app
Inside client
app
Mono-lithic
application
Loosely
coupled
components
Share your data in event streams
Share your data in event streams
Take aways
• Events boost Micro Service landscape
• Hard depencies kills innovation
• Serverless is powerfull, make sure to scale appropiate
• Silver bullet is dangerous, choose based on requirements
• Service layers provide value and inspire innovation
Questions?
Thanks!
Mattias Lögdberg, Solutions Architect
Email: mattias.logdberg@ibiz-solutions.se

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Share your data in event streams