modular-monolith-with-ddd VS Polly

Link to PR here: https://github.com/kgrzybek/modular-monolith-with-ddd/pull/286

- https://github.com/kgrzybek/modular-monolith-with-ddd (a really well documented example)

You can see there is a module called building_blocks. Inside it, I keep all the utilities needed in the project, like a logger, serializers, and so on. I did not make up this name, I borrowed it from this repo.

9. Modular Monolith with TDD

This covers far more than just DDD, however, I find the links and README super helpful for a wide range of subjects: https://github.com/kgrzybek/modular-monolith-with-ddd

Modular monolith. Here is one of the best production-ready examples https://github.com/kgrzybek/modular-monolith-with-ddd

Am wondering what react community thinks of DDD.

I've been reading "blue" DDD book (by Eric Evans) and "red" book (by Vaugh Vernon) and that was a completely "my whole life was a lie" type of experience and relief at the same time. It's just so great to have the principles of who to structure the code. It, by definition makes, your codebase structure meaningful. Because it's structured according to some common knowledge, not your random thoughts at the time you were writing code.

I was surprised to find so little DDD react sample codebases. Let's say for backend there is huge amount of samples, i.e. https://github.com/kgrzybek/modular-monolith-with-ddd . For react/frontend I have bookmarked only https://github.com/talyssonoc/react-redux-ddd/tree/master/sr... and few more, but those others does not meet the optional criteria i like really much - at the highest (or at app) level all codebase need to have folders app, domain, infra and ui. Simple rule, but simplifies life a lot.

So my question is - is DDD for some reasons not very applicable for app frontend development. Or it just never became popular. Or maybe DDD is popular amongst react developers, just I am not aware of this.

Many thanks for any ideas and comments!

In our applications, we should wrap all requests to remote services in code that implements a retry policy that follows one of the strategies I listed earlier. If you are a .NET developer like myself, you may be familiar with the Polly library. Golang has a library called Retry, and there are numerous third-party libraries for Python and Java.

Another question that rises is, would it be better to use some HttpClient package to handle the requests, like Refit in combination with Polly. But then again, it seems Refit also uses the HttpClient factory, which was a bad thing according to the previous?

D'Oh! Sorry, not PolySharp. I meant Polly. Too many similarly-named libraries!

Everywhere I've worked with AGs, we've worked with the application team to add retry logic to help make things a bit more seamless to end users. There are libraries out there that can make this pretty easy - Polly is one that I've used a few times, but there are others.

Fallacy 1: The network is reliable. If system 2 works perfectly well, but is not accessible for service 1 due to network issues, service 2 is still unavailable. This is why timeouts, service breakers and retry policies exist. A great tool for .NET to handle common network issues is Polly, but even when using a tool like this, the network is still not completely reliable.

I see. Then I don't have any better idea right now, but I do want to suggest that if your script is mostly API calls and you want to be able to deal with failures then take a look at the polly library: https://github.com/App-vNext/Polly

Runs in containers nicely, has good integration with Kafka, RabbitMQ, gRPC, etc. for Microservices communication. Implements resiliency patterns you'd want in Microservices via Polly. Has a decent Dependency Injection framework built in by default.

It's in no way hidden. But I use Polly all the time.

Depending if the sender or the reciever is down, you can also try Polly http://www.thepollyproject.org/