From WebFlux API to Full Observability: Monitoring AI Inference with Prometheus and Grafana

Building a High-Concurrency AI Moderation Service with Spring WebFlux — From Concept to Production As AI applications move from research into real-world production, one of the biggest challenges is how to wrap model inference into a high-concurrency, low-latency API service.

Spring MVC vs WebFlux: A Practical Look at Concurrency and Performance In the Java backend world, Spring MVC has long been the go-to framework. It’s simple, reliable, and works well for most business apps. But as we move into AI inference, video processing, and high-concurrency workloads, a traditional blocking model...

Spring Boot + DJL: Build a High-Performance Image Moderation API In this post, we walk through how to design and implement a high-performance Image Moderation API using Spring Boot and Deep Java Library (DJL).

DJL ResNet with JNI: Accelerating Image Preprocessing in Java When deploying deep learning models in production, image preprocessing often becomes the hidden bottleneck. In this guide, we’ll explore how to move preprocessing from Java to C/C++ via JNI, then feed the results directly into DJL (Deep Java Library).