spring-native VS JHipster

It was probably not a very good idea to write Lambda using Java programming language and Spring Boot Framework. Despite the well-spread usage and knowledge of this framework, the fact that Spring (Boot) heavily uses reflection and takes time to start the embedded Web Application Server led to very big cold starts which we'll explore in the next section. But now with SnapStart on AWS and GraalVM Native Image Support we have two more options how to optimize those cold starts. So let's explore how to write Lambda function using the Spring Boot. The code of this sample application (the same as for the first 3 parts but rewritten to use Spring Boot) can be found here. It provides AWS API Gateway and 2 Lambda functions: "CreateProduct" and "GetProductById". The products are stored in the Amazon DynamoDB. We'll use AWS Serverless Application Model (AWS SAM) for the infrastructure as a code.

During this experience, I was surprised to find that Spring Native doesn't support caching yet. I believe this support will be added by the community soon. In the meantime, if you're looking to start/stop your infra as fast as possible, you probably don't care about caching. Caching is made for long-lived, JVM-strong, JVM-loving apps.

fuente: https://spring.io/blog/2021/03/11/announcing-spring-native-beta

As I just found out thanks to a comment from another Redditor, spring-aot will be getting some functional configuration compile time generation support in Spring Native's next release

Not sure how far they are currently, but have you heard of Spring Native? https://spring.io/blog/2021/03/11/announcing-spring-native-beta

I have to say Spring. Because it is so mature and well-documented. Sure, it is bloated sometimes and not very well-suited for small JAR packages. And I have tried other frameworks as well, but I find that I keep returning to Spring. Especially since Spring keeps adding features that caused competing framework to have an edge over Spring, like native images with Spring Native for example.

Our next steps are : provide great Kotlin/JVM/Native (Native with Kotlin JVM via GraalVM native images) support via https://github.com/spring-projects-experimental/spring-native/, empowering multiplatform development (with Kotlin/JS frontend for example), translating Spring Boot documentation to Kotlin (via a contribution from Kotlin team), make sure that some APIs like WebTestClient currently broken with Kotlin due to some type inference bugs with recursive generic types become usable.

I doubt micronaut has better runtime performance. You're probably talking about startup time and this point is moot with either https://github.com/dsyer/spring-boot-auto-reflect Or https://spring.io/blog/2021/03/11/announcing-spring-native-beta

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.