Java
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Mastering Event-Driven Java: Kafka, Pulsar, RabbitMQ, and Beyond
In today’s software landscape, responsiveness, scalability, and real-time data flow are no longer luxuries—they’re expectations. Event-driven architectures (EDA) offer a…
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Temporal Workflow Engine with Spring Boot
Temporal is a durable workflow engine designed for building reliable, fault-tolerant, and scalable distributed systems. Instead of managing complex business…
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Java and Event‑Driven Architectures: Kafka, Pulsar, and the Modern Streaming Landscape
Event‑driven architectures have become a defining approach for building systems that react in real time, scale horizontally, and remain resilient…
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Building Semantic Caching with Spring AI
Traditional caching relies on exact key matching. This approach works well for deterministic inputs but fails when dealing with natural…
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AI and Machine Learning in Java: TensorFlow, DJL, and Enterprise AI
1. Introduction: Java’s Unexpected ML Renaissance While Python dominates ML research and experimentation, production deployment tells a different story. As…
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Building AI-Powered Applications with Spring AI and LangChain4j
1. Introduction: Java Enters the AI Arena For years, Python dominated AI development while Java—the backbone of enterprise systems—remained on…
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Using the Engine Test Kit in JUnit 5
The JUnit 5 Engine Test Kit provides a way to programmatically run test plans and collect detailed insights about their…
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The Future of Java: What to Expect in 2026 and Beyond
1. Introduction: Java’s Evolutionary Trajectory As we approach 2026, Java stands at a fascinating inflection point. Rather than merely maintaining…
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Container Optimization for Java: Docker, Podman, and Build Strategies
The transition from traditional server-side Java deployment to a containerized, cloud-native model requires more than just a Dockerfile. To achieve…
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