Demonstrates how to expose Spring Boot metrics with Prometheus and build Grafana dashboards to track memory usage and error rates for production-grade Java services.
Decouple heavy processing with Spring Boot, Kafka, and WebSockets: AI consumers analyze events asynchronously, while WebSockets deliver real-time insights to users.
Learn to transform Spring Boot REST APIs into an event-driven architecture by utilizing Kafka, RabbitMQ, or NATS to enhance scalability, resilience, and responsiveness.
Retry transient failures, route poison messages to a DLQ, and deduplicate with a DB table three layers that turn a fragile Kafka consumer into a fault tolerant one.
PDF chatbot demo comparing LLM+API vs MCP: direct calls are simple for one app; MCP adds a server layer for tool discovery, reuse, and standardization.
Building with LLMs in 2026 means more than picking a model and calling an API. This article covers the full open-source stack by defining tools and their usage.
Containerization with Docker and orchestration through Kubernetes enables Java backends to be deployed, scaled, managed efficiently in modern cloud-native environments.
Docker containers make Java apps portable and consistent across environments, development, and deployment, and improve s scalability and streamline CI/CD.