Author
Kim
Backend software engineer working with Java, Spring Boot, and Kafka. I write about engineering problems, performance work, and architecture decisions from development and operations.
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Implementing Kafka Streams for Real-Time Data Processing with Fault Tolerance
Implement fault-tolerant Kafka Streams applications for real-time data processing using state stores, changelog topics, and exactly-once semantics.
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Building Real-Time Anomaly Detection Systems Using Streaming AI Models
This guide teaches engineers how to build scalable real-time anomaly detection pipelines using Apache Kafka and Python’s river library, focusing on incremental learning for immediate insights.
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Implementing Feature Flagging for Safer Production Rollouts: A Dev Guide
Explore feature flagging techniques to safely roll out features, reduce risk, and improve continuous delivery in your production environment.
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Implementing Kafka Exactly-Once Semantics with Transactional Producers and Consumers
A comprehensive guide to Kafka exactly-once semantics with transactional producers and consumers for reliable, duplicate-free data processing.
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Using Spring WebFlux for Building Scalable Reactive Microservices
Explore building scalable reactive microservices with Spring WebFlux, mastering reactive streams, controllers, data access, and optimization techniques.
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Implementing Java Memory-Mapped Files for High-Performance I/O
Explore Java memory-mapped files for faster file access and improved I/O performance in data-intensive applications.
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Implementing Fine-Grained Java Locking with StampedLock for High-Concurrency Scenarios
This guide details using Java 8’s StampedLock for fine-grained concurrency control, explaining practical implementations, trade-offs, and patterns to boost throughput in multi-threaded applications.
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Implementing Java Structured Concurrency for Simplified Multithreading
Explore Java structured concurrency to simplify multithreading, improve error handling, and enhance resource management with practical examples.
