Java Spring Boot Microservices eCommerce Project Masterclass

Discover how a web framework accelerates development by providing pre-built tools and standard tasks—serving pages, securing apps, and handling databases while you focus on business logic.

Explore the Spring framework and Spring Boot's approach to inversion of control and dependency injection, enabling modular, data-driven enterprise apps with MVC, transactions, security, and testing.

Explore Spring Boot, an open source Java-based web framework for building standalone production-grade apps with an embedded server, using starters and auto-configuration.

Explore spring boot architecture through its three layers—presentation, service, and data access—where controllers handle requests, services enforce business logic, and repositories access relational or NoSQL databases.

Explore spring initializer on start.spring.io to generate a spring boot project with Maven and Java 17, importable into IntelliJ, and ready with web dependencies.

Download and unzip the Spring Boot project from Spring Initializr, import it into IntelliJ, trust the project, and review the pom.xml and Spring Boot Starter Web to run with dependencies.

Discover how Spring Boot manages dependencies with Maven or Gradle, using pom.xml and starter dependencies to streamline web app setup and integrate third-party libraries.

Design and build a basic hello world REST API with Spring Boot using a hello controller and a GET mapping for /hello.

Explore how a Spring Boot app starts, initializes Tomcat on port 8080, and processes a browser get request through a controller to return an HTTP response.

Explore how Spring Boot auto configuration initializes Tomcat, DispatcherServlet, and rest controllers by auto creating beans and mapping get requests, with default error handling.

Configure Spring Boot applications using application.properties (or yaml) to set server port, data source connections, and database schema behavior, including overriding defaults via command line arguments.

Create a post request in the hello controller with post mapping, bind the request body to a name, return a hello name, and test it with postman.

Explore how to use Postman to execute POST requests, including configuring request bodies, headers, and authorization, and view responses with a simple hello Spring Boot example.

Access the Spring Boot Microservices Professional e-commerce Masterclass Postman collection from the GitHub repository and import it into Postman to test monolith, microservices, gateway, and hello world APIs.

Explore how a Spring Boot microservices eCommerce application is structured, detailing the controller, service, and repository layers, and how requests move from client to database and back.

Set up a new Spring Boot project with Spring Initializer by selecting Maven, adding web and Lombok dependencies, generating, unzipping, and opening pom.xml in IntelliJ to run on port 8080.

Structure your plan and build the user module step by step. Create the controller and service layers first, accessible via browser or Postman, with the server running.

Create a user controller as a rest endpoint to fetch all users at /api/users. Define a user class with id, first name, and last name, and return a user list.

Add a post mapping endpoint to create new users via a request body, test with Postman using JSON data, and resolve Lombok annotation processing issues.

Introduce a Spring user service to manage users, with fetch all users and add user methods, wired via constructor or autowired, and enforce system generated IDs for better modularity.

Implement auto-generated unique identifiers for users by using a class-level nextId and assigning it before saving, ensuring backend control of IDs.

Create a Spring Boot get user endpoint using a path variable id to fetch a single user, illustrating dynamic URLs and returning the matched user.

Learn how to use ResponseEntity in Spring Boot to wrap API responses and customize HTTP status codes, such as 200, 404, 201, and 204, for consistent REST services.

Learn to refactor a user retrieval flow by replacing a for loop with Java streams, optional handling, and map-based responses to produce concise, readable code.

Implement a put mapping to update a user in a spring boot microservices ecommerce app, using a path variable id and updated user data from the request body.

Explore the request mapping annotation in Spring MVC, mapping web requests to controller methods at both method and class levels, and learn about get mapping and base URL paths.

Learn how the Jakarta Persistence API (JPA) automates mapping between Java classes and relational tables, enabling repository-based data access with Spring Data JPA in Spring Boot projects.

Learn how the data access layer uses JPA repositories to perform CRUD operations—find all, get by id, update, and delete—via entity name and primary key type.

H2 database is an open-source, Java-based relational database optimized for fast development and testing, with embedded or server modes and a browser console activated via a Spring Boot dependency.

Configure a Spring Boot project to use JPA with an in-memory H2 database, enable the H2 console, and manage dependencies via Maven, with options for properties or YAML configuration.

JPA entities are POJOs annotated to map to database tables, with each instance representing a row. Mark a class as an entity to create a table with a generated primary key.

Define and use a JpaRepository interface to handle create, read, update, and delete operations on user data without boilerplate, with Spring managing the repository.

Transition from list-based storage to a database using a user repository and Spring Data JPA, enabling persistent storage and simple find all, save, and find by ID operations.

Test changes in a Spring Boot microservice by restarting the app, fixing a Lombok annotation processing error, and validating user table operations on the H2 database with JPA and Hibernate.

Enhance the user entity by adding email, phone, and a user role enum (customer or admin), then persist and verify updated fields in the Spring Boot microservices eCommerce app.

Organize a growing codebase by creating dedicated packages for controllers, models, services, and repositories, and move existing components into these packages to support scalable Spring Boot microservices.

Define an address entity linked to the user in a 1-to-1 relationship, using cascade all and orphan removal, with address fields and auto-managed created_at and updated_at timestamps by Hibernate.

Master the DTO pattern to control API data exposure by modeling lightweight Java DTOs that transfer only a subset of the domain data between services.

Demonstrates migrating to a dto-based approach by defining user request, user response, and address dto, mapping between entities and dto, updating controllers to use dto, and testing with Postman.

Create and persist a product entity in a Spring Boot microservices app by defining id, name, description, price, stock, category, image URL, active, and timestamps, plus a JPA repository.

Define RESTful endpoints for creating and updating products in a Spring Boot microservices course, using a product controller, DTO patterns, a service layer, and repository persistence.

Define and implement endpoints to get all products, delete a product, and search products in a Spring Boot microservices ecommerce masterclass, using get mappings, request parameters, and JPQL queries.

Set up the user cart by modeling a cart item entity with user and product links, including quantity, price, and timestamps, and implement a Spring Data JPA repository.

Create post /api/cart endpoint using x user and a cart item request (product id and quantity) to validate product, stock, and user, then update or create cart items.

define a delete endpoint to remove a cart item in spring boot, using user id header and product id path variable, returning 204 on success or 404 if not found.

Add a get mapping in the cart controller to fetch a user's cart by ID from the request header, returning a list of cart items wrapped in a response entity.

Define an order entity and an order item entity linked to a user, with status enum, total, timestamps, and items; implement a repository and handle reserved keyword.

Create a rest controller to place orders via post /api/orders, inject services with Lombok, validate cart and user, compute total, save the order, and return an order response.

Explore spring boot actuator to monitor and manage your application with built-in production-ready endpoints, health metrics, and real-time insights. Customize endpoints and security to tailor visibility and control.

Add the Spring Boot actuator dependency in pom.xml, reload Maven, and restart the app to enable auto-configuration. Access the actuator endpoints at localhost:8080 to view health and metrics.

Expose all spring boot actuator endpoints by configuring pom.xml or YAML to include '*', then restart to see the 14 endpoints under the actuator base path.

Explore the built-in Spring Boot actuator endpoints, including health, info, metrics, loggers, beans, and shutdown, and learn how they monitor status, performance, and logging while enabling custom endpoints.

Explore the health endpoint in Spring Boot actuator, which exposes basic application status and, with configuration, detailed health indicators like database, disk space, MongoDB, and readiness for infrastructure monitoring.

Learn how to use Spring Boot actuator's info endpoint to expose static and dynamic app details like version and git commit, configure via application properties, and enable under management.info.enabled.

Explore the metrics endpoint in Spring Boot Actuator to view the list of available metrics and inspect a specific metric, such as disk free or process CPU usage.

Explore the spring boot loggers endpoint in actuator to monitor and dynamically adjust logging levels for packages without restarting, with practical steps to update configured and effective levels in production.

Explore the beans endpoint in the spring boot actuator to view the application context's beans, aliases, scope, type, dependencies, and how controllers and repositories appear. Secure these endpoints in production.

Explore the Spring Boot shutdown endpoint, how it enables graceful shutdown by finishing requests, how to enable via application properties, and why it must be secured and used via post.

Expose specific Spring Boot Actuator endpoints in production by configuring application.yml to enable only beans and health, then secure access to internal IPs.

Enable Spring Boot Actuator in the transaction service to expose health, info, metrics, and shutdown endpoints, verify access, and test via curl commands and browser UI in a lab environment.

Explore how Docker containerization solves dependency and environmental issues by packaging code and libraries into portable containers, contrasting with virtual machines and highlighting lightweight, scalable deployment.

Learn how Docker engine components—the daemon, CLI, API—and the registry work with images and containers on the host OS, including pull and push workflows.

Explore essential Docker concepts for development, including images, containers, Docker Engine, Docker file, and Docker Hub, to build, run, and share reproducible applications.

Understand how Docker registry centralizes images, versions, and sharing, and explore Docker Hub, Amazon Elastic Container Registry, Google Container Registry (artifact registry), Microsoft Azure Container Registry, and k.io.

Discover how docker works with spring boot, using either a dockerfile or the spring boot maven plugin, and leverage Paquito Buildpacks and cloud native buildpacks for efficient, layered images.

Learn to containerize a Spring Boot application by building a Docker image with the Maven wrapper, pushing to Docker Hub, and using Paquito buildpacks to run containers.

Learn essential Docker commands to manage images and containers, including pull, push, run with port mapping, stop, start, remove, ps, images, inspect, logs, build, and run new images.

Run the Spring Boot e-commerce app in a Docker container by pulling the image, mapping ports, running in detached mode, and viewing logs and status.

Discover PostgreSQL, an open-source object-relational database management system prized for SQL compliance, extensibility, durability, and robust performance. Compare its production-grade scalability and feature set with H2 for Spring Boot microservices.

Learn to add the PostgreSQL JDBC driver to a Spring Boot project via start.spring.io, with Maven or Gradle, update pom.xml for dependency resolution, and avoid conflicts with other databases.

Configure the Spring Boot app to connect to PostgreSQL by setting the data source URL, credentials, JDBC URL format, dialect, show SQL, and Hibernate DDL auto.

Explore Docker networks to enable container communication by linking PostgreSQL and PgAdmin through a shared network, using Docker run, environment variables, and container names as hosts.

Set up a Docker-based PostgreSQL and PgAdmin stack for Spring Boot projects, creating a dedicated Docker network, configuring containers with env vars, volumes, and port mappings for local development.

Learn to manage multi-container spring boot microservices with docker compose, using a single YAML file to define services, networks, and volumes, then run them with docker compose up.

Start the Postgres container in detach mode and open the PgAdmin interface at localhost:5050. Register a Postgres server with host Postgres and port 5432, then create the ecom db.

Run the application to verify PostgreSQL connectivity via Docker, stop conflicting local PostgreSQL services, and validate users, products, cart, and orders with Postman.

Docker auto-creates a database for the configured user and connects your app using that Docker username in the URL; Pgadmin simplifies access, and follow troubleshooting steps to resolve Docker issues.

Understand monolithic architecture as a unified, single code base where modules such as user, product, payment, and cart share one database and tightly coupled interdependent operations on a single server.

Monolithic architecture is a tightly woven system where small changes require redeploying the entire application, slowing development and deployment, and locking you into a single tech stack for long-term flexibility.

Explore how microservices structure an e-commerce app as small autonomous services. Grasp single responsibility, independence, decentralization, and independent deployment with interservice communication.

Explore how microservices overcome monolithic architecture by enabling independent scalability, technology flexibility, and simpler development for complex e-commerce apps. Netflix's transition illustrates high availability and resilient scaling in practice.