Microservices

In this episode of the InfoQ Podcast, Thomas Betts speaks with Chris Richardson about minimizing design-time coupling in a microservice architecture. Chris begins by defining design-time coupling, and contrasts it with runtime coupling. We then discuss some of the problems that arise from design-time coupling, anti-patterns and symptoms that are warning signs of high coupling, and the trade-offs that architects need to consider in their designs.

Read a transcript of this interview: https://bit.ly/2SA4oLD

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Transcript

Chris Richardson on Design-Time Coupling in Microservices

This episode is a panel discussion from the microservices track QCon Plus, held in May 2021. Track host Nicki Watt asks "What have we learned over the last decade of microservices." The panelists included Chris Richardson, James Lewis, and Katie Gamanji. The discussion started with looking at how the meaning of "microservices architecture" has evolved over the past ten years. There were some great insights about how successfully developing, deploying, and maintaining software depends as much or more on cultural and environmental factors, than simply adopting microservices and all the tools and technology that now exist.

Read a transcript of this interview: https://bit.ly/3rOTrD7

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- The Software Architects’ Newsletter [monthly]: https://www.infoq.com/software-architects-newsletter/

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https://live.infoq.com/
- August 17, 2021
- September 21, 2021
- October 19, 2021

QCon Plus online conference:
https://plus.qconferences.com/
- November 1-12, 2021

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What Have We Learned Over the Last Decade of Microservices?

Jonas Bonér, CTO of LightBend and creator Akka, discusses using Akka when developing distributed systems. He talks about the Actor Model, and how every Microservice needs to be viewed as a system to be successful. 

Why listen to this podcast:

 - Akka is JVM-based framework design for developing distributed systems leveraging the Actor Model - an approach for writing concurrent systems that treat actors as universal primitives and the most successful model with abstraction has been streaming
 - Circuit breakers in Akka are a backup and retry policy; they protect you by capturing failure data and allow you to roll back 
 - Every Microservice needs to be viewed as a system, it needs to have multiple parts that run on different machines in order to function and be fully resilient - thus is a Microsystem
 - Two different trends have emerged when it comes to hardware and environments: one is the trend toward Multi-core, the is a movement toward virtualized environments and the cloud
 - Saga pattern of managing long running transactions in a distributed system fits very well with messaging style architectures

Notes and links can be found on: http://bit.ly/2kwB2eB

Akka
The Actor Model
When Akka and the Actor Model is the perfect choice
Circuit breakers patterns in distributed systems
Two trends toward Multi-core
Reactive Manifesto
Event Driven vs. Message Driven
Reactive Programming and Streams
Microliths to Microsystems
What do you have to get right before you start trying to deploy a distributed systems?
Working with ML / AI at Lightbend to understand tracing through distributed system
Saga Pattern

More on this:
Quick scan our curated show notes on InfoQ http://bit.ly/2kwB2eB

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Show Notes

Jonas Bonér on the Actor Model, Akka, Reactive Programming, Microservices and Distributed Systems

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Chris Richardson on Design-Time Coupling in Microservices

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