CI/CD-driven modernization of data platforms, improving release speed, observability, and reliability through automation, parallelization, and job-level telemetry.
AI won’t replace engineers—it shifts their role. It boosts speed but adds complexity, debt, and review cost. Advantage goes to those who use it critically.
Learn to transform Spring Boot REST APIs into an event-driven architecture by utilizing Kafka, RabbitMQ, or NATS to enhance scalability, resilience, and responsiveness.
AI + Agile boosts workflows via adaptability, retrospectives, and automation. Biggest gains come with human oversight, despite skills gaps and lack of standards.
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.
In this article, you will learn how to log incoming requests in Spring Boot, using the class CommonsRequestLoggingFilter, through some simple configuration steps.
Platform turning complex smart meter data into usable, real-time insights via APIs — enabling scalable analytics, efficiency, and smarter energy decisions.
Find out how a multi-agent LLM system overcomes the unreliability of single-LLM extraction when processing large volumes of documents for structured data.
Learn how to use PostgreSQL to generate random data for testing purposes, and use PL/pgSQL to automatically insert random values into your database tables.
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