Play VS JHipster

My major complain here is that, as far as being a web framework there is precious little information here about the framework. How does this framework scale with multiple requests? What concurrency strategy is it using (threads, processes, actors, etc?). Is this opinionated (it doesn't seem so but it also doesn't say it isn't either). How does this work with popular libraries x,y,z. The full docs have a little bit more information, but not a ton. But mostly there are some cute toy examples and "built in python" and thats about it.

Lets compare this with for example play https://www.playframework.com/ I know from this that it built on Akka, its stateless, aims for predictable resource consumption, has non-blocking io, etc. There is a ton of really important information on what does this web framework actually do that is really important when you are making a choice of a framework.

I have no idea how good this framework is, but besides a few toy examples, I can't see anything that makes me thing "wow this is great I need to use this".

A web application framework for Java/Scala: https://www.playframework.com/

Scala 3 migration isn't as simple as migrating other apps, you can track the work at https://github.com/playframework/playframework/issues/11260

And there are frameworks you can use to make development easier, like Play. And Java has plenty of choices for dependency injection frameworks.

However do note, Play should be perfectly usable as well, and it's still maintained by the community: https://github.com/playframework/playframework/issues/11649

In university I learned a bit of Java, so maybe I could use it professionally I guess?. There were many options to choose from. DropWizard, Spark, Play Framework. But the more documented one in the internet I found was Springboot, besides there were some courses in spanish and some friends that knew something about Springboot, so I give it a chance.

For a backend web server I use Play - https://www.playframework.com/ which I find to be the easiest one as a backend web server. For learning/using spark I found this course from coursera to be very useful. https://www.coursera.org/learn/scala-spark-big-data

An easy way to get a pre-configured Keycloak instance is to use JHipster's jhipster-sample-app-oauth2 application. It gets updated with every JHipster release. You can clone it with the following command:

provider "auth0" { domain = "https://" debug = false } # Create a new Auth0 application for the JHipster app resource "auth0_client" "java_ms_client" { name = "JavaMicroservices" description = "Java Microservices Client Created Through Terraform" app_type = "regular_web" callbacks = ["http://localhost:8080/login/oauth2/code/oidc"] allowed_logout_urls = ["http://localhost:8080"] oidc_conformant = true jwt_configuration { alg = "RS256" } } # Configuring client_secret_post as an authentication method. resource "auth0_client_credentials" "java_ms_client_creds" { client_id = auth0_client.java_ms_client.id authentication_method = "client_secret_post" } # Create roles for the JHipster app resource "auth0_role" "admin" { name = "ROLE_ADMIN" description = "Administrator" } resource "auth0_role" "user" { name = "ROLE_USER" description = "User" } # Create an action to customize the authentication flow to add the roles and the username to the access token claims expected by JHipster applications. resource "auth0_action" "jhipster_action" { name = "jhipster_roles_claim" runtime = "node18" deploy = true code = <<-EOT /** * Handler that will be called during the execution of a PostLogin flow. * * @param {Event} event - Details about the user and the context in which they are logging in. * @param {PostLoginAPI} api - Interface whose methods can be used to change the behavior of the login. */ exports.onExecutePostLogin = async (event, api) => { const namespace = 'https://www.jhipster.tech'; if (event.authorization) { api.idToken.setCustomClaim(namespace + '/roles', event.authorization.roles); api.accessToken.setCustomClaim(namespace + '/roles', event.authorization.roles); } }; EOT supported_triggers { id = "post-login" version = "v3" } } # Attach the action to the login flow resource "auth0_trigger_actions" "login_flow" { trigger = "post-login" actions { id = auth0_action.jhipster_action.id display_name = auth0_action.jhipster_action.name } } # Create a test user. You can create more users here if needed resource "auth0_user" "test_user" { connection_name = "Username-Password-Authentication" name = "Jane Doe" email = "[email protected]" email_verified = true password = "passpass$12$12" # Don't set passwords like this in production! Use env variables instead. lifecycle { ignore_changes = [roles] } } resource "auth0_user_roles" "test_user_roles" { user_id = auth0_user.test_user.id roles = [auth0_role.admin.id, auth0_role.user.id] } output "auth0_webapp_client_id" { description = "Auth0 JavaMicroservices Client ID" value = auth0_client.java_ms_client.client_id } output "auth0_webapp_client_secret" { description = "Auth0 JavaMicroservices Client Secret" value = auth0_client_credentials.java_ms_client_creds.client_secret sensitive = true }

If you want a Spring backend with an Angular Frontend check out https://www.jhipster.tech. This is very nice for CRUD stuff.

Use https://www.jhipster.tech/

To test GitHub Actions, we need a new project which in this case I generated using JHipster with the configuration seen here:

exports.onExecutePostLogin = async (event, api) => { const namespace = 'https://www.jhipster.tech'; if (event.authorization) { api.idToken.setCustomClaim('preferred_username', event.user.email); api.idToken.setCustomClaim(`${namespace}/roles`, event.authorization.roles); api.accessToken.setCustomClaim(`${namespace}/roles`, event.authorization.roles); } }

What you maybe asking for is something like vaadin or jhipster which marries the front with the backend. (I don't like them tbh but it worth mentioning)

You can try this stack https://www.jhipster.tech with generator for mobile app https://github.com/jhipster/generator-jhipster-ionic.