Event-Driven Microservices with Kafka and Spring Cloud Stream

In today’s world of distributed systems, event-driven architecture (EDA) has become the foundation for building scalable, resilient, and loosely coupled…

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Resolving JavaMailSender Autowiring Issue

If you’re building a Spring Boot application that sends emails, chances are you’ve come across this frustrating error: Could Not…

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Reactive REST APIs with Micronaut and Protobuf: Building Efficient Microservices

As microservices become more distributed, performance bottlenecks can easily arise from inefficient serialization, blocking I/O, or heavyweight frameworks. To tackle…

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Versioning Protobuf APIs Without Breaking Clients

Design Patterns to Evolve .proto Files Safely in Production Protocol Buffers (Protobuf) have become the de facto standard for defining…

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Spring Batch One Reader with Multiple Processors and Writers

1. Introduction Spring Batch is a lightweight, comprehensive batch processing framework designed for robust, scalable, and repeatable data-processing jobs in…

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Mastering Backpressure in Spring WebFlux for Streaming APIs

How to Handle High-Throughput Streaming Scenarios Without Overwhelming Consumers Reactive systems excel at handling streaming data, but without careful backpressure…

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Spring Kafka Metrics with Micrometer

Apache Kafka is a popular distributed event streaming platform. In modern Spring Boot applications, integrating Kafka with observability tools like…

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Getting Started with Tribuo: A Java Machine Learning Library

Tribuo is an open-source machine learning (ML) library for Java developed by Oracle Labs. Designed for production-grade ML systems, Tribuo…

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Apache Camel vs. Spring Integration: Which to Choose for Enterprise Integration?

When building enterprise integration solutions, you often face the choice between two powerful, mature Java frameworks: Apache Camel and Spring…

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