{"owner":"Angular2Guy","github":"https://github.com/Angular2Guy","claimed":false,"inventory":[],"indexed":[{"repo":"Angular2Guy/AngularAndSpring","github":"https://github.com/Angular2Guy/AngularAndSpring","description":"This is an example application to show howto use Spring Boot 4, Angular 22, Kafka with Streams and Mongodb with the reactive features of Spring in a clean architecture and a Helm chart for the Kubernetes setup. Structurizr is used for C4 diagrams. Standalone Components are used with Angular.","language":"Java","stars":113,"topics":["angular","spring-boot","mongodb","typescript","spring-webflux","kubernetes","java","clean-architecture","archunit","helm-chart"],"license":"Apache-2.0","category":"deployment-docker-iac"},{"repo":"Angular2Guy/MovieManager","github":"https://github.com/Angular2Guy/MovieManager","description":"This project shows howto use Angular 22 and Spring Boot 4 and Jpa with a Maven build in clean architecture. For development/production the H2/Postgresql databases are used. The databases are managed with Liquibase. Standalone Components are used with Angular. The Docker image uses the AOT cache of project Leyden.","language":"Java","stars":36,"topics":["angular","spring-boot","jpa","java","typescript","liquibase","maven","clean-architecture","archunit","kubernetes"],"license":"Apache-2.0","category":"deployment-docker-iac"},{"repo":"Angular2Guy/AIDocumentLibraryChat","github":"https://github.com/Angular2Guy/AIDocumentLibraryChat","description":"A project to show howto use SpringAI with Ollama to chat with the documents in a library. Documents are stored in a normal/vector database. The AI is used to create embeddings from documents that are stored in the vector database. The vector database is used to query for the nearest document. That document is used by the AI to generate the answer.","language":"Java","stars":31,"topics":["angular","angular-material","java","liquibase","postgresql","spring-boot","typescript","gradle","ai","chatgpt"],"license":"Apache-2.0","category":"databases-storage"},{"repo":"Angular2Guy/AngularPortfolioMgr","github":"https://github.com/Angular2Guy/AngularPortfolioMgr","description":"This is an project to show the use of Angular 22, Spring Boot 4, H2/Postgresql with Jpa, Liquibase, Kafka and Gradle and a Helm chart for a Kubernetes deployment. Spring Modulith for architecture support. For dynamic queries the frontend uses Drag'n Drop and the Backend Jpa Criteria api and the frontend results in Table/Tree Angular components","language":"Java","stars":22,"topics":["angular","spring-boot","typescript","angular-cli","gradle","docker","jpa","liquibase","h2-database","postgresql"],"license":"Apache-2.0","category":"deployment-docker-iac"}],"how_to_buy":"GET /r/Angular2Guy/<repo> (Accept: application/json) for any listed repo here: tree, README, price and the checkout to pay (x402; rehearse first at its test twin, simulated money). Repos under 'indexed' are free: clone them from GitHub."}