When you don't need a real Kafka cluster yet, a lightweight substitute can remove a lot of friction. Use a portable mock environment and wire it into your app.
Docker packages applications to ensure consistent and portable deployments. Kubernetes manages them with scaling, reliability, and automation in production.
Spring CRUD Generator v1.1.0 bootstraps Spring Boot backends from YAML, adding validation, Redis caching fixes, OSIV control, and support for Spring Boot 3/4.
Multi-cloud sounds strategic, but usually happens by accident. Networking, IAM, and observability all break at boundaries. Only attempt it if you have no choice.
Three protocols are shaping how AI agents interact with tools, other agents, and users. Here's what each one does, how they fit together, and when to reach for which.
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.