Dynamic & Proud
You need to be signed in to add a collection
Debates still rage over Objects vs Functions, Microservices Vs Monoliths, but it can feel like the static vs dynamic smackdown has lost momentum. As a flag-waving Clojurian, I want to show how the Dynamic approach remains the best fit for complex data domains such as Financial Services, drawing on modern case-studies of challenger banks. I want to show a layered, iterative approach to using schema as code, helps teams to coordinate with less boilerplate code proliferation. I will then discuss the dynamic approach at the architectural level, showing how in combination with immutability, you can scale up a more powerful and simpler way of building up systems. This talk will include a summary of my journey from ex-Java TDD finatic, to founding a Clojure Consultancy, to building an immutable, bitemporal, dynamically powered SQL database in XTDB.
Transcript
Debates still rage over Objects vs Functions, Microservices Vs Monoliths, but it can feel like the static vs dynamic smackdown has lost momentum.
As a flag-waving Clojurian, I want to show how the Dynamic approach remains the best fit for complex data domains such as Financial Services, drawing on modern case-studies of challenger banks.
I want to show a layered, iterative approach to using schema as code, helps teams to coordinate with less boilerplate code proliferation.
I will then discuss the dynamic approach at the architectural level, showing how in combination with immutability, you can scale up a more powerful and simpler way of building up systems.
This talk will include a summary of my journey from ex-Java TDD finatic, to founding a Clojure Consultancy, to building an immutable, bitemporal, dynamically powered SQL database in XTDB.