Chris Richardson
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where they keep going back
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on a stage with
- Alexy Khrabrovonce
- Kikia Carteronce
- Nick Schrockonce
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who talks about the same things
- Jonas Bonér14 talks
- Fred George25 talks
- Hugh McKee26 talks
- Jimmy Bogard50 talks
- Udi Dahan7 talks
- James Eastham9 talks
| title | conference | date |
|---|---|---|
| Chris Richardson at DDD Europe 2025 | DDD Europe 2025 | 2025-06-02 |
Argues that microservices and Team Topologies form a synergistic two-way relationship that still works: microservice architecture creates clear, deployable… | ||
| Team topologies and the microservice architecture | DDD Europe 2025 | 2025-06-02 |
Argues that fast flow requires loose design‑time coupling and a fast automated pipeline; microservices scale teams of about five to nine by giving each service… | ||
| SAG Expert Interview #08: Fast Flow for agile & safe software deployment | Software Architecture Gathering 2024 | 2024-11-11 |
Argues that “fast flow” drives business agility by moving a continuous stream of changes from git push through an automated pipeline into production, enabling… | ||
| Considering Migrating a Monolith to Microservices? | YOW! Melbourne 2022 | 2022-12-08 |
Argues a decision method: weigh five dark energy forces (simplicity, team autonomy, fast pipeline, tech stacks, special resource/criticality) against five dark… | ||
| Architectural Patterns for Rapid, Reliable, Frequent and Sustainable Development | iSAQB Software Architecture Gathering – Digital 2021 | 2021-10-11 |
Argues that architectures must enable deploy multiple times a day with lead time under 15 minutes, comparing traditional monolith, modular monolith and… | ||
| Panel: Were Microservices a Huge Mistake? | Scale By the Bay 2020 | 2020-11-12 |
Panel argues specific tradeoffs: one claim predicts a multi‑billion dollar cleanup industry from misapplied microservices; another warns of distributed… | ||
| Architecting for rapid, frequent, reliable delivery of software. | Devoxx Ukraine 2020 | 2020-11-05 |
Argues that businesses need RFRS delivery and measures it with Accelerate metrics: lead time under an hour, deployment frequency many times a day (Amazon once… | ||
| Not Just Events: Developing Asynchronous Microservices | GOTO Chicago 2019 | 2019-04-29 |
Explains how to implement distributed transactions with sagas (local steps, compensating rollbacks) and when to use choreography vs orchestration; shows an… | ||
| Microservices: Decomposing Applications for Testability and Deployability | Silicon Valley Code Camp 2018 | 2018-10-13 |
Microservice architecture decomposes a large monolith into independently deployable services with private databases, enabling automated pipelines that cut lead… | ||
| Events on the Outside, on the Inside, and at the Core | O'Reilly Software Architecture Conference New York 2018 | 2018-02-26 |
Applications emit a stream of events triggered by state changes or time (examples: order created and invoice overdue), and other services consume them for… | ||
| Developing Microservices with Aggregates | Devoxx US 2017 | 2017-03-21 |
Argues that Domain-Driven Design aggregates let a tangled domain model split into services by using one transaction per aggregate and referencing other… | ||
| Events on the outside, on the inside and at the core | Jfokus 2016 | 2016-02-08 |
Events act as the primary integration and consistency mechanism: services publish domain events instead of two‑phase commits so an order created -> credit… | ||
| Building event-driven microservices with Scala and Functional Domain Models | Great Indian Developer Summit 2015 | 2015-04-21 |
Argues that persisting immutable domain events instead of state solves cross-database consistency in microservices by making save-and-publish a single atomic… | ||
| Functional Big Data | Great Indian Developer Summit 2015 | 2015-04-21 |
Functional programming maps directly onto big data: MapReduce is the functional pattern, Scalding offers a concise Scala DSL that compiles to MapReduce, and… | ||
| Developing Event-driven Microservices w/Event Sourcing and CQRS | Philly ETE 2015 | 2015-04-07 |
Explains an implementation: each aggregate persists a sequence of business events, not a current row, and the system persist events instead of state then… | ||
| Webinar: Decomposing Applications for Deployability and Scalability | SpringOne2GX 2012 | 2012-10-01 |
Argues that breaking a monolithic WAR into narrowly focused, independently deployable services improves deployability and scalability: use the scale cube to… | ||
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