🚀 DL4J and Spring Boot: Real-Time Anomaly Detection in Time-Series Data
As a Software Architect, you understand that an excellent solution requires not just a powerful model, but a robust, scalable, and performant architecture for deployment. The combination of DL4J (Deeplearning4j)…
Dynamic Feature Toggling in Spring Microservices with Spring Cloud Bus
Dynamic Feature Toggles with Spring Cloud Bus Feature toggles (or feature flags) are a powerful technique for managing application behavior without code deployments. They allow you to turn features on…
Mastering Polymorphic Data in Spring Kafka with Avro Union Types
As a software architect, designing robust, scalable, and adaptable distributed systems is a constant pursuit. When working with Apache Kafka, a common challenge arises: how do you send messages that,…
Building Robust Kafka Applications with Spring Boot, and Avro Schema Registry
As a software architect, designing solutions that are scalable, maintainable, and resilient is paramount. In the world of event-driven architectures, Apache Kafka has become a cornerstone for high-throughput, low-latency data…
Tracking User Lifecycle: Capturing Login, Failed Login, and Signup Events in Spring Authorization Server
Understanding how users interact with your Spring Authorization Server is crucial for security, auditing, and gaining insights into user behavior. By capturing key lifecycle events like successful logins, failed login…
AdvancedCalendar – java.util.Calendar java.util.Date java.text.SimpleDateFormat
Every get tired of converting from Dates to Calendars and then need to use SimpleDateFormat to output it as a String? How about parsing a string and getting a Date…
Optimizing Spring Kafka Message Delivery: Compression, Batching, and Delays
Spring Kafka provides a powerful framework for interacting with Apache Kafka, but efficient message delivery requires some fine-tuning. Here’s how to optimize your Spring Kafka producer using compression, batching, and…