Field notes from building secure, intelligent infrastructure for the enterprise.
LLMs are only as good as the context you give them. Graph databases like Neo4j turn scattered enterprise data into connected, queryable context — grounding AI in relationships, not just text.
Databricks is no longer just managed Spark. With Delta Lake, Unity Catalog, and serverless compute, it has become a credible single platform for data engineering, analytics, and AI — if you adopt it with discipline.
Adopting Kubernetes is easy; operating it well is not. The enterprises that win treat it as the foundation for an internal platform — with golden paths, GitOps, and guardrails — not as an end in itself.
The warehouse-versus-lake debate is over. The interesting questions now are about governance, contracts, and treating data as a product.
Retrieval-augmented generation is easy to demo and hard to operate. Here is what production-grade RAG actually requires.
Zero trust is an architecture, not a product you can buy. A practical path from perimeter security to identity-aware access.
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