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Cloud Architecture
Azure, AWS, cloud infrastructure, networking, infrastructure-as-code, and resilience design patterns.
16 articles in this topic.
The Sovereignty Myth vs. The Scale Reality: A CTO Guide to Digital Readiness
Digital readiness is not isolation versus integration. It is architectural redundancy with explicit exit paths, continuity controls, and verified portability.
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.
BCDR for AKS: What Fails and What Doesn't
Kubernetes BCDR is not the same as VM BCDR. Here are patterns that work across regions, zone failures, and cluster upgrades.
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.
Why CTOs Need to Mandate Architecture Decision Records
Architecture Decision Records (ADRs) are not bureaucracy. They are the only scalable way to preserve context and prevent repeated mistakes as teams grow.
FinOps at Scale: Using Azure Data Explorer as Your Cost Brain
Most teams treat cloud cost analysis as a chore. Azure Data Explorer can make it a competitive advantage. Here is how.
BCDR for Azure Storage: Patterns That Actually Hold
Enterprise backup, continuity, and disaster recovery for Azure Storage requires multi-region strategy, validation testing, and clear automation boundaries. Here is what works.
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.
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