What technical due diligence examines, the red flags that kill deals versus reprice them, how AI changes the checklist, and how to scope a rigorous review.
Cloud repatriation is real but misreported. Which workloads actually leave, the breakeven math, the hidden costs, and the portfolio framework that results.
Best-of-breed unbundling gave data teams a sprawl of tools. The integration tax now exceeds the benefit, and the pendulum is swinging back.
Event-driven architecture is sold as the default for scale. The real wins, the distributed-systems tax, and how to tell when async messaging is worth it.
Classic FinOps was built for taggable instances. AI workloads break every assumption. Here is why token and GPU economics defeat instance-level cost control.
Cut through the lakehouse-versus-warehouse marketing to the real architecture decision: where each wins, the table-format war, and the costly trap of both.
Panic buying meets slow AI revenue. The compute-scarcity premium is set to compress, and firms locked into peak-price capacity are the most exposed.
Most internal developer platforms add complexity instead of removing it. A 2026 framework for what works, what fails, and how to measure platform ROI.
Frontier models do not win every task. A 2026 framework for when small and mid-sized models beat them on cost, latency, privacy, and accuracy.
Shadow AI is a behavioral problem, not a tooling gap. Why bans and CASB underperform, and the governance pattern CISOs should actually fund in 2026.
Kubernetes created a new category of cloud waste. A framework for where the spend lands, the FinOps plays that move the bill, and the tooling that finds it.
Most enterprise AI agents stall in pilot. A framework for the narrow, tool-constrained, well-evaluated patterns that ship, and the demoware that does not.
Deep analysis across the systems, strategies, and economics that shape modern technology.
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