Igor Venturelli, Author at Igor Venturelli

Exception Handling Like a Pro in Spring Boot REST APIs

In a perfect world, your REST API always works flawlessly. But in the real world? Things break.

How your application handles those failures can define the difference between a developer’s dream and a support team’s nightmare.

In this post, you’ll learn how to implement robust, consistent, and professional-grade exception handling in Spring Boot. We’ll go beyond catching errors—we’ll turn exceptions into structured, debuggable, and meaningful responses.

Building Robust APIs with Spring Boot and Validation Annotations

When building APIs, the hardest bugs often come from the easiest oversight: trusting user input. If your controller accepts data as-is and only relies on business logic to catch errors, you’re putting too much responsibility on the wrong layer.

Validation isn’t a nice-to-have. It’s a contract.

Understanding Dependency Injection in Spring: Field vs Constructor vs Setter

Dependency Injection (DI) is at the heart of the Spring Framework. It promotes loose coupling and easier unit testing by decoupling object creation from object usage. In Spring, there are three main ways to inject dependencies into a class: field injection, setter injection, and constructor injection. While all three are supported, each has its own implications for code readability, testability, and maintainability.

What Is a DTO? (And Why You Shouldn’t Return Your Entities in Spring Boot)

When building REST APIs with Spring Boot, it’s common to see beginners return entities directly from their controllers. At first glance, this seems fine—the data flows, the response looks right, and everything “just works.”

But what happens when your entity evolves? When sensitive fields accidentally get exposed? Or when lazy-loaded relationships break your JSON?

Getting Started with Spring Boot: Build a Task Manager App from Scratch

Spring Boot is the industry-standard framework for building modern Java applications. It dramatically reduces boilerplate code, accelerates development, and is battle-tested for microservices and monoliths alike. If you’re new to the Spring ecosystem, this post will walk you through everything you need to start building.

Spring Boot Profiles: Managing Multiple Environments Like a Pro

Learn how to manage multiple environments in Spring Boot using profiles, properties, and YAML configurations

When developing enterprise applications with Spring Boot, managing multiple environments is a necessity. You need different configurations for development, testing, staging, and production, but hardcoding settings or maintaining separate codebases is a disaster waiting to happen.

Protecting Your Spring Boot Application with OAuth2 Resource Server and Auth0

Secure your Spring Boot API with OAuth2 Resource Server and Auth0, using JWT authentication for protection

Security is non-negotiable in modern application development. As APIs become the backbone of digital services, protecting them with robust authentication and authorization mechanisms is critical. OAuth2 has become the de facto standard for securing APIs, and when combined with an identity provider like Auth0, it provides a scalable and secure solution for managing access.

Mastering Request Interception in Spring Boot: Filters vs. Interceptors

Learn the key differences between Filters and Interceptors in Spring Boot and when to use each

When building REST APIs and web applications with Spring Boot, request interception is often necessary to handle authentication, logging, security, request transformation, or other cross-cutting concerns. Spring Boot provides two powerful mechanisms for this: Filters and Interceptors.

Building a Data Pipeline with Apache Camel: Processing Weather Data from AWS SQS

Learn how to build a scalable data pipeline with Apache Camel, AWS SQS, and PostgreSQL – Step by Step

Data pipelines are a critical part of modern software systems, ensuring seamless data flow between various components. In this tutorial, we’ll build an Apache Camel-based data pipeline that listens to an AWS SQS queue, retrieves weather information from the WeatherStack API, and persists the results into a PostgreSQL database.

MuleSoft vs Apache Camel: Which Integration Framework Should You Use?

Explore the differences between MuleSoft and Apache Camel to choose the best integration framework

When it comes to building integration solutions for your enterprise applications, choosing the right framework is crucial. Two popular players in the integration space are MuleSoft and Apache Camel. Both offer robust capabilities, but they cater to different needs and use cases. Whether you’re dealing with complex enterprise architecture, microservices, or cloud-based solutions, selecting the best framework can significantly impact the scalability, flexibility, and maintainability of your system.