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I building code where there are data models in different layers of the application which are very much alike. This causes a lot of boilerplate code and unittests which is hard to maintain.
I would like to use some mechanism from which I could generate the model classes and use mapping software to get data from model1 to model2.
What would be a good library which can be configured to
I know about odata but this has its own data model which is another extra model from which I need to map to my internal model(s).
I also know about graphql but I want to use plain REST resources from my client software for now.
I want to be able to configure for a user how many request per second he can fire onto my server.
And my server then should return the nr of possible requests in a response header.
And of course my server should return http response code 429 (too many request) when the max nr requests/sec is depleted.
How would you do this?
@thephi did you have a look at Mapstruct (https://mapstruct.org/)?
@ashburnere yes I am investigating it, it is a very elaborate tool but I'm not sure yet if I can use it but it looks promising.
@AdamBien
As creator of Jwtenizer do you recommend to you clients to implement in-house authentication and authorization workflows? Quarkus JPA Security and JWT Security makes it look like an easy job initially, but I fear things get tough when you realize you need:
- self-registration
- login
- passwordless login
- profile update
- forgotten password workflow
- multi-factor authentication
- email verification
- user management UI console
... Or do you recommend external providers such as Okta, Auth0, AWS Cogito?
There is also this up-and-coming German middleware ORY/Kratos, but they are very opinionated, do not recommend JWT tokens and do a lot fo server-side rendering to implement workflows.
What do your clients usually end up doing?
Have you had a look at https://gluu.org/? It probably suites you better?
Hi Adam!
I watched your latest videos and I'm interested in a question about a rest client fault. For example, the task is to periodically send data through the scheduler using rest client, how to properly handle the case of a client crash (fault) so that the scheduler can stop before the client is restored to work? I am thinking of a global flag that stores client state information, maybe failover has a more elegant solution?