A blog site on our Real life experiences with various phases of DevOps starting from VCS, Build & Release, CI/CD, Cloud, Monitoring, Containerization.
As enterprises and developers adopt LLMs (Large Language Models) at scale, the challenge is no longer just about “which model to use” — but how to use the right model with the right data context, securely and efficiently.
This is where Model Context Protocol (MCP) comes in. Continue reading “MCP: The Model Context Protocol Powering the Next Wave of AI Workflows”
We’ve made huge strides in collecting data. Businesses today generate terabytes from apps, sensors, transactions, and user behavior. But the moment you want to do something with that data (feed it into dashboards, power models, trigger business logic), you run straight into the mess of transformation.
You’ve probably seen this first-hand. Engineers spend weeks writing brittle transformation code. Every schema update breaks pipelines. Documentation is missing. Business logic is locked away in obscure ETL scripts no one wants to touch. This is the silent tax on your data operations: not gathering data, but shaping it. Continue reading “LLM-Powered ETL: How GenAI is Automating Data Transformations”
