Coming Soon - Technical Azure Content Pipeline
Coming Soon - Technical Azure Content Pipeline
Generated: December 16, 2025
This document tracks planned technical Azure topics that build on your leadership and governance expertise while branching into more hands-on technical content.
Content Strategy
Target Audience: Platform architects, infrastructure teams, IT leaders implementing Azure at scale
Approach: Practical, experience-driven content from 100+ customer environments
Voice: Honest assessments, real-world tradeoffs, “what actually works”
Format: Mix of standalone posts and 2-3 part series
Azure AI & Automation
Building on Agent Governance and AI adoption themes
- Azure OpenAI Service: From Proof of Concept to Production
- Focus: Security, cost management, governance for enterprise AI
- Estimated: 2,000 words, standalone
- Target: Q1 2026
- Building Intelligent Automation with Logic Apps and AI Services
- Focus: Real-world scenarios combining Azure AI with workflow automation
- Estimated: 1,800 words, standalone
- Target: Q1 2026
- Azure AI Studio: What Architects Need to Know
- Focus: Platform perspective on Microsoft’s AI development environment
- Estimated: 1,500 words, standalone
- Target: Q2 2026
- Prompt Engineering for Infrastructure Teams
- Focus: Using AI effectively for Azure operations and troubleshooting
- Estimated: 1,600 words, standalone
- Target: Q2 2026
Modern Azure Architecture Patterns
Advanced patterns for mature environments
- Landing Zone Evolution: Beyond the CAF Blueprint
- Focus: Advanced patterns for mature Azure environments
- Estimated: 2,200 words, Part 1 of 2
- Target: Q1 2026
- Azure Container Apps vs AKS: The Decision Framework
- Focus: When to use which container platform (practical, not theoretical)
- Estimated: 1,800 words, standalone
- Target: Q2 2026
- Event-Driven Architecture on Azure: Patterns That Actually Work
- Focus: Service Bus, Event Grid, Event Hubs in real scenarios
- Estimated: 2,000 words, Part 1 of 2
- Target: Q2 2026
- Azure API Management: The Platform Team’s Perspective
- Focus: How to operationalize APIM at scale
- Estimated: 1,900 words, standalone
- Target: Q3 2026
Observability & Operations
Extending Log Analytics expertise
- Beyond Azure Monitor: Building a Complete Observability Stack
- Focus: Integrating Application Insights, Log Analytics, third-party tools
- Estimated: 2,100 words, Part 1 of 3
- Target: Q1 2026
- KQL for Infrastructure Teams
- Focus: Practical Kusto queries for Azure operations
- Estimated: 1,700 words, standalone
- Target: Q2 2026
- Azure Workbooks: Custom Dashboards That Don’t Suck
- Focus: Building useful operational dashboards
- Estimated: 1,500 words, standalone
- Target: Q2 2026
- Chaos Engineering on Azure: Starting Small
- Focus: Practical resilience testing without breaking production
- Estimated: 1,800 words, standalone
- Target: Q3 2026
Security & Compliance
Building on governance expertise
- Zero Trust Architecture on Azure: Implementation Reality
- Focus: Moving beyond buzzwords to actual implementation
- Estimated: 2,300 words, Part 1 of 2
- Target: Q1 2026
- Azure Key Vault: Patterns for Enterprise Scale
- Focus: Advanced key management and secrets handling
- Estimated: 1,900 words, standalone
- Target: Q2 2026
- Microsoft Defender for Cloud: Tuning for Real Environments
- Focus: Getting value without alert fatigue
- Estimated: 1,600 words, standalone
- Target: Q2 2026
- Azure Policy at Scale: Advanced Patterns and Pitfalls
- Focus: Beyond basic governance policies
- Estimated: 2,000 words, Part 1 of 2
- Target: Q3 2026
Cost Optimization & FinOps
New territory with platform focus
- Azure Reserved Instances: The Strategy Nobody Talks About
- Focus: Advanced RI planning and management
- Estimated: 1,800 words, standalone
- Target: Q2 2026
- Spot Instances in Production: When and How
- Focus: Practical use of Azure Spot VMs
- Estimated: 1,500 words, standalone
- Target: Q2 2026
- Azure Cost Optimization: The 80/20 Approach
- Focus: High-impact cost reduction strategies
- Estimated: 1,700 words, standalone
- Target: Q3 2026
- FinOps on Azure: Building a Cost-Conscious Culture
- Focus: Organizational patterns for cost management
- Estimated: 2,000 words, standalone
- Target: Q3 2026
Infrastructure as Code & DevOps
Platform engineering focus
- Bicep vs Terraform: The Honest Comparison
- Focus: Real-world tradeoffs from extensive experience
- Estimated: 2,200 words, standalone
- Target: Q1 2026
- Azure DevOps vs GitHub Actions: Platform Team Perspective
- Focus: When to use which for Azure workloads
- Estimated: 1,800 words, standalone
- Target: Q2 2026
- Infrastructure Testing That Actually Matters
- Focus: Practical testing strategies for IaC
- Estimated: 1,900 words, standalone
- Target: Q3 2026
- GitOps for Azure: Patterns and Anti-Patterns
- Focus: What works and what doesn’t in Azure environments
- Estimated: 2,000 words, Part 1 of 2
- Target: Q3 2026
Data & Analytics
New territory complementing platform focus
- Azure Data Factory: The Platform Architect’s Guide
- Focus: Building scalable data pipelines
- Estimated: 2,100 words, Part 1 of 2
- Target: Q3 2026
- Synapse Analytics: When It Makes Sense
- Focus: Honest assessment of when to use Synapse
- Estimated: 1,700 words, standalone
- Target: Q4 2026
- Azure Purview: Data Governance That Works
- Focus: Practical data cataloging and governance
- Estimated: 1,800 words, standalone
- Target: Q4 2026
- Real-Time Analytics on Azure: Architecture Patterns
- Focus: Stream Analytics, Event Hubs, Cosmos DB
- Estimated: 2,000 words, Part 1 of 2
- Target: Q4 2026
Hybrid & Multi-Cloud
Advanced topics for mature organizations
- Azure Arc: Beyond the Marketing
- Focus: Real use cases for hybrid management
- Estimated: 1,900 words, standalone
- Target: Q4 2026
- Multi-Cloud Networking: Azure as the Hub
- Focus: Practical hybrid connectivity patterns
- Estimated: 2,200 words, Part 1 of 2
- Target: Q4 2026
Progress Tracking
Completed Posts
None yet - this is the starting point
In Progress
Track current drafts here
Next Up (Priority Queue)
- Bicep vs Terraform: The Honest Comparison - High demand topic
- Azure OpenAI Service: From Proof of Concept to Production - Builds on AI theme
- Beyond Azure Monitor: Building a Complete Observability Stack - Extends Log Analytics expertise
Content Guidelines
Technical Depth
- Include working code examples with explanations
- Real-world scenarios from customer environments
- Honest assessments of limitations and tradeoffs
- Practical implementation guidance
Structure Template
- Problem Statement - What real problem does this solve?
- Context - Why does this matter now?
- Solution Walkthrough - Step-by-step implementation
- Gotchas & Lessons - What goes wrong and how to avoid it
- When Not to Use - Honest limitations
- Next Steps - What to do after reading
Voice & Tone
- Maintain authentic, practitioner voice
- “Here’s what actually works” over “here’s what’s possible”
- Include failures and lessons learned
- Balance technical depth with strategic context
Notes
- Estimated Total: 30 posts, ~54,000 words
- Timeline: 18-24 months at bi-weekly cadence
- Mix: 70% standalone, 30% series
- Focus: Practical implementation over theoretical concepts
- Audience: Platform teams and architects implementing Azure at scale
Update this document as topics are completed, priorities shift, or new ideas emerge.