Engineering With Java: Digest #18
Curated and Hand Picked Java and Spring Blogs.
In this Engineering With Java newsletter edition, we have hand-picked some interesting Java and Spring articles worth reading. These articles include topics such as serialization, data migration, Avro, pub-sub pattern, custom metrics, AOP, micronaut, java 21, etc.
I hope you will like the selections!
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1. Serialization with FlatBuffers in Java
FlatBuffers is a library developed by Google that offers a highly efficient way to serialize and deserialize data. It provides direct memory access to serialized data without requiring parsing, leading to faster processing times and more efficient memory usage.
FlatBuffers uses a schema file (.fbs) to define the data structure and generate Java classes that allow developers to easily create, access, and manipulate instances of the defined data structure.
2. Writing a Data Orchestrator in Java
Kestra is an open-source data orchestrator platform written in Java that allows you to schedule, organize, and monitor data-oriented workflows efficiently.
Unlike many data orchestrators that require writing Python code, Kestra is declarative and can use languages other than Python.
It is based on a distributed architecture and uses asynchronous communication through messaging queues to manage data workflows.
3. Automating Data Migration Testing with Spring Boot Using @DataJpaTest
Data migration testing is a critical process in software projects, ensuring consistency, accuracy, and efficiency when transferring data from one system to another.
Spring Boot, a popular Java framework, provides tools for automating this testing, particularly through writing integration tests with
@DataJpaTest, using in-memory databases, and implementing rollback procedures.
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4.Java 21 and Beyond: A Roadmap of Innovations
Java 21 introduces a range of groundbreaking language features designed to enhance coding efficiency and modernize Java development practices.
These features streamline code writing, improve readability, and increase the expressiveness of the language.
5. Micronaut (Spring Boot Alternative)— Simple REST API CRUD with Micronaut Data and Hibernate
Micronaut is a modern, JVM-based full-stack framework that offers a robust alternative to Spring Boot for building microservices and serverless applications.
Developed to provide fast startup times, reduced memory footprint, and minimal use of reflection, Micronaut aims to streamline the development process while maintaining efficiency and scalability. It is compatible with Java, Groovy, Kotlin, and has plans for Scala support.
6. Advanced Debugging Techniques with Spring AOP
Debugging complex issues in Spring Boot applications can be challenging due to intricate business logic and deep call stacks.
Aspect-Oriented Programming (AOP) offers a way to intercept code execution and log detailed information, providing developers with a powerful tool for identifying and resolving issues.
This article explores advanced debugging techniques using Spring AOP, showing how it can improve the debugging workflow.
7. Generate Java Classes From Avro Schemas Using Gradle
In this tutorial, we explore how to generate Java classes from an Apache Avro schema using Gradle. The focus is on two main methods: leveraging the existing Gradle plugin and implementing a custom task for the build script.
Each approach has its own pros and cons, and we identify which scenarios each method fits best.
8. Publisher-Subscriber Pattern Using AWS SNS and SQS in Spring Boot
In an event-driven architecture with multiple microservices needing to communicate, the publisher-subscriber pattern provides an asynchronous communication model that allows for a loosely coupled architecture that is easy to extend and scale.
In this article, we explore how to implement the publisher-subscriber pattern using AWS SNS and SQS services in Spring Boot microservices.
9. Authenticate Using Social Login in the Spring Authorization Server
In this tutorial, the process of setting up social login using Spring Boot and OAuth 2.0 in a web application is demonstrated.
Google is chosen as the social login provider, but similar steps can be followed for other providers.
10. Implementing Custom Metrics with Micrometer in Spring Boot
In modern software development, monitoring application performance is essential for ensuring reliability and efficiency. This article explores the integration of Micrometer, a powerful library for collecting, monitoring, and analyzing metrics in a Spring Boot application.
It discusses how to implement custom metrics, the benefits of using a Micrometer, and provides practical examples to get started.
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