Most meetings waste time due to poor design. Treat them as systems: clear goals, async prep, solid docs. Use AI to capture decisions and scale knowledge — not chaos.
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.
April 28, 2026
by Vidyasagar (Sarath Chandra) Machupalli FBCS
CORE
Containerization with Docker and orchestration through Kubernetes enables Java backends to be deployed, scaled, managed efficiently in modern cloud-native environments.