Ruby Midwest 2011 - Keynote: Architecture the Lost Years by Robert Martin
Confreaks10 HN recommenders · recommended in 10 months, 2013–2022
talk · intermediate · evergreen · 2013–2022 on HN
Robert C. Martin's Ruby Midwest 2011 keynote argues that software architecture should express the application's intent rather than its framework. He covers separating entities, interactors and boundaries so the web, database and framework are details.
Frequently recommended as an influential talk on decoupled, testable architecture, though some commenters push back on Martin's TDD advocacy.
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12 comments from Hacker News
> Many people will argue that not using a framework means write everything yourself. This is a false dichotomy. We can use libraries and frameworks just fine. ... > But we should give them a clear, and well-isolated place in our project. ... There's an excellent, if older, presentation called "Architecture, the Lost Years" that addresses exactly this problem and gives very specific, actionable guidance on how to solve it: ▶ this video But how to pull off this decoupling? The answer is both obvious and surprising. Define a boundary. On one side is the framework. On the other side is your code. Through the boundary, only dumb data structure can pass. JSON works. So do structs. So does XML. The point is that these are behaviorless blobs of data. This buys you a lot. You can run your application completely detached from the network, a database, and other expensive dependencies. So testing becomes much simpler and easier. And of course, you can replace the framework by writing new boundary code. The other big lesson has something to do with why frameworks get added to a project in the first place. When designing a system, the goal should be to defer major decisions for a long as possible. That's when the best information is available. Sometimes you can just defer until the point becomes moot, which is a major win. Reaching for a framework before being forced to do so sets up the kind of situation the author is talking about.
The talk that had the most influence on how I write software is Robert 'Uncle Bob' Martin's "Architecture: The Lost Years" [1]. Being a Ruby conference keynote, it helps if you know how Ruby on Rails works, but the lessons apply to all software. Another one would be "Let It Crash! The Erlang Approach to Building Reliable Services" by Brian Troutwine. [2] I don't know if you would call it "technical" but Brett Slatkin's talk on Cohort Analysis is something anyone interested in tools to analyze how our users behave should watch. [3] [1] ▶ this video [2] link [3] link
Excellent riposte! Mine was going to be somewhat less polite :-) Can't stress enough that TDD is not about testing (sth. DHH, like many if not most critics gets wrong). It is about development and design. The fact that you get a pretty decent test suite out of it is a nice side effect. (Love me those side-effects, wouldn't want to program without 'em). I also find that whenever I skimp, it always comes back to bite me. And usually it was because I hadn't understood the problem-space well enough to write a proper test. That's one important part of TDD for me: I have to understand the requirements well enough to actually write a test for them. And the OP is also right in that Rails is a bad environment for TDD, as far as I can tell, because all the magic and auto-integration gets in the way and has to be laboriously stubbed/mocked etc. Maybe it's time the community got over Rails. (See also Uncle Bob's excellent architecture talk: ▶ this video ).
> Although the design above is perfectly valid in terms of OOP, neither of these classes are actually unit-testable. Because LocationProvider depends on its own instance of HttpClient and SolarCalculator in turn depends on LocationProvider, it’s impossible to isolate the business logic that may be contained within methods of these classes. The design of those classes is bad, and the perceived need to reach for mocks (or interfaces) is telling you that. The next step the author takes is to go for interfaces. That's not what I'd do. Instead, I'd decouple network from calculation with intermediate dumb data structures. The network side produces the data structure and the calculation side consumes it. The network side can further be broken down with a transformation of the API call result into the dumb data structure used for calculations. This idea comes from an old Bob Martin presentation [1]. The whole thing is worth watching to put it into context. This is the kind of thing that never seems to get discussed in these pieces praising integration tests over unit tests. For even better results, ditch the classes altogether and just use functions. It's quite surprising how badly designs come off the rails with the "everything is a class" model. [1] ▶ this video
This "Architecture: the lost years" keynote from uncle bob was helpful for me: ▶ this video I've also struggled with this notion of "untestable" code. Untestable code seems to usually be a big pile of function calls. Testable code seems to be little islands of functionality which are connected by interfaces where only data is exchanged. Practically, this seems to be about shying away from interfaces which look like 'doThis()', 'doThat()', and more like 'apply(data)'. Less imperative micro-management and more functional-core/imperative-shell. Edit: a network analogy might be: think about the differences between a remote procedure call API vs. simply exchanging declarative data (REST).
Microsoft Application Architecture Guide link Domain Driven Design (The book is hard to read, but worth it I think) link This uncle bob talk is not too bad ▶ this video I think the microsoft guide is the most comprehensive, but don't limit yourself to it.
My (limited)experience is that when a rails app gets too big, it becomes hard to manage. That was my case, anyway. The architecture of hanami promotes longterm developer sanity. The fact that views are objects and the existence of interactors is a real plus. See this old Uncle Bob video re interactors: ▶ this video
It might do that wildly inefficient thing... Or, you might do something where you have a list of pointers, and you point at a different value instead of mutating an existing value. I haven't dug into the details of how immutable data structures can be made to work efficiently, but part of the charm is that in many cases you don't mutate the array at all. What I mean is, there are certain behaviors around mutation that programmers do because they can. When you take away the ability to mutate data, you design differently and without side effects. All of a sudden testing becomes easier, faster, cheaper for large parts of your codebase. You have simpler solutions that are potentially easier to reason about because the complex (and sometimes elegant) solutions aren't so readily available. A few talks that are around this style of thinking: link ▶ this video link link Boundaries are good, values are good, simple things that work together are good. The more we can take the good parts and form them together into a cohesive language/framework/platform, the better our software will be.
Here's Uncle Bob talking on his version of the idea extensively: ▶ this video The main idea is to separate the system into entities, interactors and boundaries, which correspond roughly to model, controllers and interfaces+DTOs (Data Transfer Objects), but with the difference that model classes are not exposed through the interfaces. Rather, the DTOs are used to communicate the changes in the data. We have been using this approach for a year now, with REST on top, and it so far has worked beautifully. The entities map naturally to REST resources and DTOs makes nice request and response classes. Armed with CQRS (now I sound enterprise-y), the data storage is easy to work with using the same DTOs (the data storage and its interface do not know anything about the entities either). On the DB implementation level, we work on the DTOs, which are trivial to store to the database (even without ORM, although it does remove much of the boilerplate). Only one class - the entity repository - is needed to convert the DTOs to entities, and this only happens on create, update, and delete. Reads (due to CQRS) go directly to DB without instantiating any entities - neat. We also use 'unit of work' -pattern to abstract the notion of transaction on create, update, and delete operations, which simplifies the interactor code, hiding the nature of the data storage (making it a swappable in this respect too). But to stay on topic, our tests are fast too as the interactors can be tested by injecting an in
This reminds me of the beginning of Bob Martin's keynote[0] at Ruby Midwest 2011[1]. I don't agree with everything he said, but the code organization point is sound. [0] ▶ this video [1] link
Neither of us ever said all TDD folks are cultist. We are both tired of being told that we are absolutely doing it wrong if we don't practice TDD. For an example of people telling us this please see this talk by bob Martin and jump to the 58 minute mark. ▶ this video Bob is not an obscure figure by any stretch of the imagination. You have admitted to having no real data to back up the claim that writing tests first leads to better code, yet we have bob here telling us we are absolutely wrong if we don't follow his religion.
"Over the years many people have complained about the so-called "religiosity" of some of the proponents of Test Driven Development. " And Bob is guilty of that religiosity himself. See here ▶ this video Jump to the 58 minute mark if it doesn't automatically.