Cloud sprawl is inevitable — but complexity isn’t. IaC alone isn’t enough. Real control comes from visibility, automation, and enforcing every change through code.
Zero "agentic AI". Zero "cloud native". Zero other hype. Just an approach to achieving an efficient AI-centric automation using 100% free open-source components.
Learn how to build scalable, resilient backend workflows on Google Cloud using state machines, Workflows, Eventarc, and more with real-world use cases.
Learn to build a no-code AI bot to generate test cases from user stories using ChatGPT. Customize tone, behavior, and export structured test scripts easily.
Introductory article about MCP, a universal adapter that allows AI assistants to access and interact with external systems while maintaining a consistent interface.
Learn to use AWS SNS (Amazon Simple Notification Service) messaging service to publish a message to an email address as a subscriber using Spring Boot.
Learn in this article how LangGraph’s Orchestrator-Worker agents enable dynamic task delegation using LLMs for smarter, scalable, and adaptive AI workflows.
Learn to build a simple AIOps dashboard using Prometheus, Grafana, and ML-based anomaly detection to monitor metrics, set alerts, and prevent failures.