Emanuel Trandafir

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Emanuel Trandafir

I'm Emanuel Trandafir, a passionate Java developer eager to explore and share insights on diverse programming paradigms, tools, and practices. I actively encourage my readers to join me in meaningful discussions, allowing us to learn from each other's perspectives. Beyond work, I love staying active through sports, hiking, and traveling, and I've recently switched from long-distance running to the thrill of rock climbing.

Here's what I've written (so far):

Baeldung on Java

  • All
  • Testing (10)
  • Data (7)
  • Architecture (7)
  • Spring Boot (5)
  • Reactive (5)
  • Spring WebFlux (4)
  • Spring Data (4)
  • Persistence (4)
  • Spring (3)
  • Maven (3)
  • Java Streams (3)
  • Java Concurrency (3)
  • Java (3)
  • Docker (3)
  • DevOps (2)
  • Artificial Intelligence (2)
  • Web Services (1)
  • Spring Web (1)
  • Spring AI (1)
  • Java Dates (1)
  • Java Collections (1)
  • Jackson (1)
  • JSON (1)
  • Core Java (1)

How to Unit Test Micrometer

Filed under Testing

Unit testing metrics is crucial for ensuring that our application correctly tracks performance data and business metrics. By using Micrometer’s SimpleMeterRegistry, we can create isolated tests that verify our metrics collection without requiring a full Spring context. When it comes to integration tests, we need to reset the MeterRegistry to perform assertions on it during our @SpringBootTests.

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Tagging Patterns for Micrometer Metrics

Filed under DevOps, Spring

In this article, we explore Micrometer metrics with a focus on tagging. We use Micrometer in a Spring Boot application and apply various patterns to create simple metrics, such as counters and timers.

We’ll start by using Micrometer’s Builder API to create meters with variable tag values. Additionally, we’ll look at MeterProviders as an alternative that allows us to avoid potential performance issues. We’ll also use Spring AOP and Micrometer-specific annotations to record method invocations in a declarative manner.

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Implementing CQRS with Spring Modulith

Filed under Architecture, Spring

Let’s take a fresh look at the CQRS pattern, exploring its benefits and trade-offs in a modular Spring Boot application. We’ll use Spring Modulith to structure our code into clearly separated modules and to enable asynchronous, event-driven communication between them.

This approach is inspired by our colleague Gaetano Piazzolla’s article, where he demonstrates CQRS with Spring Modulith in a product catalog. Here, we’ll adapt the same ideas to a movie ticket booking system and keep the two sides in sync via domain events.

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Baeldung on Kotlin

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  • Testing (1)
  • Kotlin Strings (1)
  • Kotlin Numbers (1)
  • Kotlin Basics (1)
  • Kotlin Arrays (1)

Baeldung on SQL

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  • Database Concepts (1)