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AI Strategy
AI agents, LLM architecture, prompt engineering, and governance for enterprise AI systems.
18 articles in this topic.
Chapter 2: Systems Fail According to Incentives
Shows why many outages begin in planning cycles, team goals, and ownership splits rather than in infrastructure itself.
Chapter 3: Shared Responsibility Is an Accountability Vacuum
Explains why the cloud shared responsibility model is operationally weak unless teams explicitly model who owns failure above and below the provider boundary.
Chapter 9: Reliability Governance, ADRs, Debt, and Leading Indicators
Turns reliability from an aspiration into a governed system using tiering, ADRs, debt ledgers, review triggers, and leading indicators.
Appendix: Reliability Operating Artifacts and Policy Templates
Drop-in templates for SLO and SLI specifications, error budget policy, tiering criteria, CUJ measurement, ADRs, debt ledger, provider incident playbook, and board scorecard.
Chapter 7b: How You See (and Miss) Reality
Before diving deeper into failure domains, this chapter breaks reader confidence. It deconstructs the illusions that create false confidence: SLA theater, untested recovery, alert fatigue, documentation equals knowledge. Each illusion is a structural vulnerability disguised as safety.
The Risk Is Not the Prompt. It Is the Pattern.
Enterprise AI risk is less about one prompt and more about identity-linked activity accumulating across tools, memory, and access boundaries.
Azure AI Foundry Agents + Container Apps: Building Scalable A2A Solutions
Agent-to-Agent (A2A) patterns combine Azure AI Foundry agents with Container Apps for asynchronous, scalable multi-agent systems. Here is the reference architecture.
Sovereign Cloud Is a Buzzword. Control Is the Real Question
My take on sovereign cloud: the term hides multiple different enterprise requirements. The wrong packaging creates expensive compliance theater. The right controls create trust.
Sovereign Cloud: The History and Why the Model Breaks
Sovereign clouds seemed like a good idea in the post-Snowden era. Geopolitics, technology economics, and regulatory evolution have made the model unsustainable for many commercial use cases.
Cloud Resource Hoarding: Why Elasticity Breaks Under Capacity Pressure
Resource hoarding in cloud is a rational response to scarcity. The root cause is a multi-layer supply chain problem from power and facilities to wafers, packaging, and deployment.
FinOps and SRE Belong Together. I Built the Bridge.
Most FinOps teams are one person spending 20% of their time. They see the cost problems. They cannot fix them. Agentic AI can be the operations team they do not have. Here is what I built and what it means for lean and mature teams alike.
Spring Cleaning Your Cloud: Past the Quick Wins Into the Hard Questions
Quick wins are table stakes. For mature cloud customers, the real question is not where is the waste. It is what are we choosing to spend money on, and is that choice still justified. Here are the hard questions that make people uncomfortable.
MCP: The Protocol That Might Actually Connect AI Agents to Enterprise Systems
Model Context Protocol is the most important protocol in the AI agent ecosystem right now. What it does, what it does not do, and where enterprise adoption will hit friction.
Building Multi-Agent Solutions Without Making a Mess
Teams deploying multiple AI agents face coordination, state management, and failure propagation problems. Here is what actually works in production.
Azure AI Foundry: When Capacity Scarcity Pushes Customers into PTU Too Early
When Standard capacity is constrained, enterprises may move to provisioned throughput before demand is proven. That can create stranded cost and reduce cloud elasticity in practice.
AI Agent Governance: A Starting Point Nobody Gave Me
My LinkedIn automation posted a draft with a broken link before I knew it happened. People commented. The blog had never published it. That is when I realized my agent pipeline had no governance. Here is what I built after that mistake.
100 Drafts and Nothing Published. Can AI Solve the Problem That Is Me?
I had 100 blog posts stuck in draft on WordPress and 50 more on the new platform. The problem was never the tools. It was me. So I built an editing team out of AI agents to find out if that changes anything.
Welcome to Signal Over Hype
Why I started writing, what I will cover, and what to expect.