A service catalog is the precondition for every serious platform engineering effort. Why most IDPs stall without one, and a 90-day rollout plan.
Why CIOs in 2026 are quietly killing the AI pilots that marketing demanded. Four post-mortem patterns, the org dynamics, and which projects survive.
Model Context Protocol is becoming the USB-C of LLM tool integration. A framework for what MCP replaces, where it fits, and how to govern it.
Vector databases are the most over-purchased AI infrastructure of 2024-2025. Real scale thresholds, vendor tradeoffs, and a TCO model for three team sizes.
Most enterprise AI failures are eval failures, not model failures. Learn the three eval tiers, the golden-dataset problem, and an eval maturity model.
Most Internal Developer Platforms quietly fail. The four failure modes, what mature IDPs do differently, a maturity model, and a 90-day reset playbook.
Service mesh is one of the most over-bought infrastructure decisions of the last five years. A framework for when it pays off and when it does not.
Agentic AI moves beyond chatbots to systems that plan and act. A framework for tiers, use cases, the four hard problems, and how to evaluate vendors.
Centralized, embedded, or hybrid? Learn how to structure a modern data team with the right roles, reporting lines, and sizing for your company stage.
Learn why most AI Centers of Excellence fail and the operating model, staffing, and governance that make them work. Includes a 90-day kickoff plan.
Digital transformation failures aren't technology failures. They're change management failures. Here's where transformations actually die — and it's not the tech.
An opinionated playbook for new CTOs. Most fail because they change too much too fast. Here's the week-by-week approach that actually works.
Deep analysis across the systems, strategies, and economics that shape modern technology.
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