Practical studies from the systems where cloud economics, resilience, and operational intelligence meet.
Systems architecture
Four ways to solve a problem — human judgment, rules, ML, and generative AI — and how to choose the right one per task instead of treating AI as a universal fix.
AI and cloud operations
llama.cpp brings quantized models to personal and edge hardware; vLLM turns accelerators into shared inference services. Choose the operating boundary first.
Data and AI governance
Unity Catalog turns governance into a shared platform capability: one catalog, one permission model, and audit for data and AI assets across workspaces.
B2B SaaS
A practical, hypothetical example of how a scaling SaaS platform could connect infrastructure spend to product demand and make cost ownership part of engineering delivery.
Cloud operations
Cloud cost and reliability become easier to govern when FinOps and AIOps work from the same evidence, owners, and change controls.
Data and cloud operations
Delta Lake adds a transaction log, versioning, and schema enforcement on top of Parquet columnar files — a storage format plus a table protocol.
Data and cloud operations
Databricks usage data becomes useful when teams connect cost to workload context, accountable owners, safe changes, and measured outcomes.
Online services
How an online services team correlated fragmented telemetry, reduced false escalation, and restored operator focus without replacing its monitoring stack.
Financial technology
How a regulated product team established quality, latency, and cost controls for an LLM workflow before expanding it across customer operations.