![]() To assist you in the task of obeying the contract, I recommend using Dialyxir that tool will do a static code analysis and warn you if anything is out of expected. However it does not enforce an “automatic data validation”, that means you can pass an Integer even if the typespec says that it’s expecting an String. And it also has the advantage to generate an useful documentation using ex_doc library or even a live documentation by using text editors that supports that. You know what to expect from calling the function and also what that function expects as parameter. # apps/sales/lib/client/support.ex defmodule Sales. Remember that each context should be independent, so let’s start by creating a new Elixir umbrella project called “SystemX” with two apps: In this example we have 2 bounded contexts, Sales and Support, with their own rules and knowledge. And let’s use the same example from Martin Fowler article to establish an example that we can use for our system.īounded Context example from Martin Fowler article Show me the codeĮnough talking, let’s see how it works. Want to read more about it ? Go to Using an Elixir Umbrella post. An ERP system can be composed of apps like Customer, Billing, Delivery and so on.Īnd an umbrella project is a project composed of those apps, which lives in the same project and can be dependent on each other. And you’re right, but some rules are required in order to keep clean organization and avoid creating a mess that is hard to evolve.īut what’s an umbrella project and apps ?Īn app is just a package of code, it could be a tiny library, a component, a subsystem or a full application. If you know the concept of umbrella projects, you may be thinking that we can implement each bounded context as applications of an umbrella project. Should have an explict API to exchange data That give us some hints on how we should implement a bounded context: We can do this using standard software practices, such as having explicit APIs between subsystems and avoiding dependencies such as shared code. Why bounded? In the real world, domains have fuzzy boundaries, but in the world of software we want to reduce coupling between separate subsystems so that they can evolve independently. But, just as in the real world, information taken out of context can be confusing or unusable. Within the context, we share a common language and the design is coherent and unified. Why context? Because each context represents some specialized knowledge in the solution. We use the phrase bounded context instead of something like subsystem because it helps us stay focused on what’s important when we design a solution: being aware of the context and being aware of the boundaries. Each bounded context is a mini domain model in its own right. domains and subdomains in the problem space are mapped to what DDD terminology calls bounded contexts - a kind of subsystem in our implementation. If you know nothing about it, I recommend to read this Martin Fowler article before continuing.Īccording to the great book Domain Modeling Made Functional: Use a module on each app to act as a public API to exchange data between apps, and also to call functions to mutate data Īn app should never return its internal data structures on public apis, it should return only raw data like maps and lists That’s the kind of mind-blowing post that challenges us to experiment different ways to write software, and that post is my practical approach on this matter.Īn app should never call internal code from another app The results prove that the proposed approach can be applied to evaluate the granularity of microservices-oriented system.What if we could write loose coupling services without the overhead of common microservices architecture? In 2015 Valim wrote an article entitled Elixir in times of microservices, where he elaborated his idea on how Elixir fits in a microservice architecture. A case study is used to evaluate the decomposition of a microservices-oriented system and compare the results with the architects' expectations. ![]() By implementing a tool prototype, evaluation results can be automatically calculated. Based on that, a granularity evaluation approach of microservices based on bounded context is proposed. To cope with this problem, this paper designs four evaluation metrics based on several principles of best microservices practice to quantitatively measure the rationality of microservice decomposition. Microservices architecture still lacks the criteria for evaluating its granularity. However, finding the adequate granularity of microservices is a big challenge. ![]() As the support of DevOps, microservices architecture has become a hot spot of software industry for its agility, flexibility, and scalability. During recent years, DevOps gains its popularity. ![]()
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