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Azure field notes by theme.
Browse practical architecture articles covering landing zones, networking, private access, GenAIOps, monitoring, governance, AI platform, agents, and security patterns.
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Azure Landing Zones: A Practical Architect's View
Platform guardrails, workload autonomy, and governance boundaries.
AI Workloads Inside an Azure Landing Zone
Production AI patterns inside governed Azure foundations.
Evaluation Sets: The Missing Layer in GenAI Pilots
Use eval sets to turn demo confidence into release confidence.
APIM as an AI Gateway
Centralized policy, routing, quotas, logging, and usage visibility.
Hub-Spoke vs Virtual WAN: A Practical Decision
Choose the topology your team can operate reliably.
Private Endpoints and DNS Without the Drama
Make private access repeatable by clarifying DNS ownership.
Answer Health Monitoring for GenAI Workloads
Monitor answer quality as well as uptime.
Minimum Viable Governance for Azure
Start with the smallest useful baseline that prevents common mistakes.
Microsoft Foundry: The New AI Platform Model
Hubs, projects, deployment types, and why standalone Azure OpenAI is now an anti-pattern.
Foundry Agent Service: Prompt Agents vs Hosted Agents
How to choose between no-code prompt agents and containerized hosted agents.
Multi-Agent Patterns on Azure
Sequential, concurrent, group chat, handoff, and Magentic - when each applies.
RAG vs Fine-Tuning vs Prompt Engineering: A Decision Framework
A practical decision table for when to use retrieval, fine-tuning, or prompts.
Vector Search on Azure: AI Search vs Cosmos DB vs PostgreSQL
Compare the three Azure vector search options for RAG grounding workloads.
AI Content Safety in Production
Harm categories, Prompt Shields, groundedness detection, and integration patterns.
Managed Identity for AI: No API Keys, Ever
DefaultAzureCredential, RBAC roles, and wiring managed identity across AI workloads.
Container Apps vs AKS: A Practical Decision
When to use Container Apps and when AKS is actually justified.
Azure Functions Flex Consumption: The New Default for Event-Driven AI
VNet integration without Premium, configurable concurrency, and AI pipeline fit.
Prompt Versioning and Deployment Gates
Treat prompts as code with Foundry catalog versioning and eval-gated deployments.
AI Cost Management: Token Budgets, PTU vs Consumption, and Model Tiering
Control AI spend with model tiering, token limits, and APIM-based attribution.
Continuous Evaluation Pipelines
Automate AI quality gates with the Azure AI Evaluation SDK and GitHub Actions.
Zero Trust for AI Workloads
Network, identity, data, and gateway controls for the complete AI Zero Trust stack.
Azure Policy for AI Governance
Enforce managed identity, disable public access, and govern model deployments at scale.
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