Duncan K. DeVore
where else to find them
what they talk about
all 6 in the filters
where they keep going back
- Scala Days Berlin2 editions2016–2018
- O'Reilly Software Architecture Conference New York, NY2 editions2016–2017
all 5 in the filters
on a stage with
who talks about the same things
- Konrad 'ktoso' Malawski19 talks
- Henrik Engström2 talks
- Rob Harrop4 talks
- Roland Kuhn6 talks
- Manuel Bernhardt11 talks
- Mushtaq Ahmed5 talks
| title | conference | date |
|---|---|---|
| The Promise of Event Driven Programming with Fast Data | Scala Days New York 2018 | 2018-06-19 |
Reactive systems combine Akka actors, Kafka as a streaming backplane and Spark for analytics to implement event sourcing and closed‑loop feedback control… | ||
| The Promise of Event Driven Programming with Fast Data | Scala Days Berlin 2018 | 2018-05-14 |
Argues that microservices must own their own data and favor event sourcing as primary audit log for history, auditing and shardable, append-only storage; shows… | ||
| Managing Consistency, State and Identity in Distributed Microservices | Scala Days Copenhagen 2017 | 2017-05-30 |
Argues that services must own their hot state and use event sourcing and an append-only event log to make identity composable, auditable and replayable rather… | ||
| Getting started with fast data architecture | O'Reilly Software Architecture Conference 2017 - New York, New York | 2017-04-02 |
Argues that streaming needs sub-second near real-time processing and elasticity so systems keep running under load, and that practical fast-data stacks use… | ||
| Reactive architecture, design, and programming | O'Reilly Software Architecture Conference 2016 - London, United Kingdom | 2016-10-19 |
Defines reactive programming as models where A updates automatically when B and C change, then elevates that to reactive architecture which provides… | ||
| Monitoring Reactive Applications | Scala Days Berlin 2016 | 2016-06-15 |
Lightbend builds a monitoring agent that instruments Akka/Play/Scala apps, captures metrics and traces in the JVM instead of emitting millions of offline… | ||
| Monitoring Reactive Applications | Scala Days Berlin 2016 | 2016-06-15 |
Reactive systems require tracing across async hops not stack traces, so this work builds a monitoring approach that instruments Akka/Play/Scala apps, emits… | ||
| Distributed Eventsourcing with Akka | Philly ETE 2015 | 2015-04-07 |
Explains how to build distributed, stateful identities by combining event sourcing with Akka Persistence and Cluster Sharding: persistent actors append events… | ||
| nothing matches | ||