Tag Archives: REA

Notes from YOW! 2014: From Monoliths to Microservices at REA

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I attended YOW! Sydney 2014 and thought some people might get something useful out of my notes. These aren’t my complete reinterpretations of every slide, but just things I jotted down that I thought were interesting enough to remember or look into further.

Microservices at REA (Real Estate Australia)Beth Skurrie (@bethesque) from DiUS, Evan Bottcher (@evanbottcher) from Thoughtworks and Jon Eaves (@joneaves) from REA group spoke about migrating realestate.com.au to a microservices architecture. (Slides, Video)

Why REA migrated to microservices

They started by talking about why they started doing microservices:

  • They had a long release cycle,
  • they were doing coupled releases,
  • with coupled rollbacks,
  • and they had a long defect fix time.

How do you get self-empowered teams to change the whole architecture?

However, there was a realisation that changing things at REA is a bit hard, partly because the teams are very self-empowered, they’re trusted, and they value their independence.

In order to convince teams that trying a new architecture was a good idea, they came up with a vision of where they wanted to go, which included: Continue reading →

(My notes from) Ken Scambler on ‘Two Years of Real-World FP at REA’

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This evening I went to a YOW Night where Ken Scambler (@KenScambler) spoke about the introduction and evolution of using Scala at REA Group. Here’s my notes…

Functional Scala Benefits

The sprial logo of the functional programming language language ScalaThe benefits of going functional are to get to code that is: Modular, Abstract, Composable.

Modularity is about being able to fit entire sections of code in your head without having to consider things going on outside that code, and also about being able to replace small parts without affecting the whole.

To write a total function (a function that returns a result for all possible input values), you need to elevate all possibilities into the type system. For example, you can’t throw an exception, you have to encode that possibility of an error into the return value somehow.

Abstraction should reduce changes to code, because unnecessary detail is not all across the code.

Whole systems can be composed from functional components.

Functional programming is not about picking up a hipster language. It’s about producing better software.
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