Nick Evans

Practices for scaling architecture decisions: RFC's, working groups and guilds @patkua at #OReillySACon

We should build villages not skyscrapers - simple buildings that combine harmoniously @allenholub at #OReillySACon

Operationalizing machine learning models is an increasingly important challenge. How do we run these models on heterogeneous hardware while maintaining the ability to debug these models when they fail. @bsletten at #OReillySACon

Do you ever think about the carbon footprints of large scale machine learning models running in the cloud? @bsletten at #OReillySACon

Prioritize ruthlessly, reinvest in your existing systems, let's talk about messy evolution - so no rebuild after all? @z00b #OReillySACon

On the refactor - rewrite continuum, the sweet spot is probably on the refactor side @z00b at #OReillySACon

Embrace modularity but be cautious of granularity - @markrichardssa at #OReillySACon

Dimensions of service granularity: functionality, db transactions, data dependencies (schema ownership), workflow/choreography (inter-service communication) - except functionality, all dimensions prefer service consolidation.@markrichardssa at #OReillySACon

shared lib, shared service, code replication, service consolidation - 4 techniques for dealing with shared code in microservices @markrichardssa at #OReillySACon

DDD + Continuous delivery + cloud envs + biz agility = rise of microservices @markrichardssa #OReillySACon

@_ananyaneogi f1 returns the object whereas f2 returns undefined.

#javascript quiz time! No cheating please 🙂 Will these two functions give same output or not? function hello1() { return { bar: "hello" }; } function hello2() { return { bar: "hello" }; } console.log(hello1()); console.log(hello2());

@Ruurtjan Yes agreed: "amount of effort they save other teams", that is indeed the crucial point.

@npcevans Agreed. The cutoff between capabilities and products isn't this black and white. I made the distinction for the sake of the argument. Maybe I should've said 'products that give capabilities' vs 'products that give solutions' or something.

Centralized teams should use their pockets of expertise to expose capabilities, not products. Examples of products: - Data (e.g. etl's from DB's to data lakes) - BI dashboards Examples of capabilities: - Data processing (e.g. a Spark/Flink cluster) - Self service BI (1/4)

@seldo @briankardell @Amorelandra I so agree with this: The representation of your object in memory depends what you intend to do with it, and context-sensitive representation is not a feature of OO design.

@briankardell @Amorelandra 8 years ago: seldo.com/weblog/2011/06…

My takeaways from #OReillySACon evansnicholas.github.io/2018/11/11/sof…

@vladikk @Heimeshoff Indeed, so the UL is more like a discipline, but doesn't have a canonical physical embodiment.

@vladikk @Heimeshoff Do you give the UL a physical form (in documentation) or is the refinement just making sure you have "good quality" talks with domain experts?

When doing #DDD, always invest up front in establishing a clear ubiquitous language. Not doing this will result in confusion and wasted effort down the line. @vladikk #OReillySACon

@SzymonPobiega @stilkov Haha, thanks, good point! I wasn't entirely sure, but I thought I guess sometimes you might want to advise in favour of a particular vendor.

@npcevans @stilkov I think it should be "- vendor advice", not "+" ;-)

Dogma + experience + pragmatism + flexibility + minimalism + trends/future needs + experiments/pocs + hands on + vendor advice = The Successful Architect @stilkov #OReillySACon

@aboutlo @matteocollina You get the best hello world app you've ever seen! 😉

@npcevans @matteocollina Is the output good? Because that what’s it matters the most to me 😁

1+ million lines of code in node_modules for a hello world app with eslint, tap and create react app. No worries! NPM has solved the software reuse problem. @matteocollina #OReillySACon

By performing stream processing in @apachekafka you can do projections/aggregations/joins that you would otherwise do when querying the database. In this way different consumers can store data exactly as they need it. @benstopford #OReillySACon