Author
Sai Prudhvi Neelakantam
Senior Consultant, Data Engineering & AI at Evidi
Sai Prudhvi Neelakantam is a Senior Consultant in Data Engineering and AI at Evidi, based in Oslo, Norway. He writes production notes on Microsoft Fabric, Power BI, Databricks, and Microsoft Foundry.
Posts by Sai
42 production notes on Fabric, Azure agents, Databricks, and platform design.
Sep 4, 2026 · 9 min read
POC public vs MVP private: networking as architecture for agent apps
How to stage agent webapps from a public POC to a private MVP without pretending env files are a network design.
Sep 2, 2026 · 9 min read
Env files are not environments: isolate with Azure CLI discipline
Show how collapsing redundant env templates and treating Azure CLI subscriptions/resource groups as the real isolation boundary prevents POC/MVP config drift.
Sep 2, 2026 · 9 min read
Rename the estate once: workspace naming is architecture
Argue that inconsistent workspace display-name prefixes create operational tax and that a one-time rename with stable catalog names is cheaper than perpetual translation layers.
Aug 21, 2026 · 9 min read
Feature toggles beat hard-coded agent IDs
Replace hard-coded agent catalogs with product feature flags plus per-agent overlay rows for scope, starters, export prefixes, and access arrays.
Aug 21, 2026 · 9 min read
Language gates belong in CI, not in code review folklore
Argue for native CI linters and language test gates so white-label and locale regressions fail the build before demos do.
Aug 20, 2026 · 9 min read
Genie readiness is a modeling problem, not a prompt problem
What has to be true in naming, modeling, and catalog descriptions before conversational analytics tools like Genie produce trustworthy answers.
Reading series
Ordered collections that group related platform notes.
Series
Fabric lakehouse architecture
Topology, refresh, semantic parity, and CI/CD blast radius for Microsoft Fabric lakehouses.
Series
Enterprise agent apps
Authorization, knowledge RBAC, session durability, and private networking for production agent webapps.
Series
Analytics readiness
What has to be true in modeling and platform context before Genie-style analytics assistants produce trustworthy answers.