Terraform to OpenTofu Migration in 2026 — The Post-BSL Decision Framework for Azure Teams
A practical decision framework for Azure-first teams evaluating the move from Terraform to OpenTofu after IBM BSL licensing changes.
Every article published on Law Wen Feng | Cloud and AI Architect.
A practical decision framework for Azure-first teams evaluating the move from Terraform to OpenTofu after IBM BSL licensing changes.
Microsoft Conductor lets you define multi-agent workflows in YAML with deterministic routing — zero tokens spent on orchestration decisions.
Azure Resiliency service makes AZ failure simulation safe, automated, and measurable. Practical checklist for Malaysian enterprises.
Bicep vs Terraform in 2026 — The Enterprise Verdict for Azure-First Teams The Bicep-vs-Terraform debate has been settled — not by a winner-take-all outcome, but by a
MAF 1.0 unifies AutoGen and Semantic Kernel into a single cross-platform SDK with production-grade agent harness, CodeAct, and Foundry hosted deployment.
Southeast Asia 3 Cloud Region — What Microsoft's Johor Bahru Datacenter Means for Azure Architects Microsoft announced the Southeast Asia 3 cloud region in
Most agent pilots fail on cost, not capability. Practical cost optimization playbook for production AI agents.
Architecture guidance for Azure API Management as AI Gateway, covering risks, governance decisions, and practical enterprise implementation considerations.
Practical guidance on Azure AI Foundry as the Unified Control Plane for enterprise architecture, governance, delivery risk, and operational planning.
Cost and sizing is an architecture decision, not a finance spreadsheet problem. A structured approach to Azure cost estimation, pricing models, right-sizing, and FinOps for Malaysia West.
Design monitoring and backup as first-class landing-zone pillars for Malaysia West Azure deployments. Validate every service, vault, and alerting capability before go-live.
Practical guidance on Microsoft Fabric Lakehouse Migration for enterprise architecture, governance, delivery risk, and operational planning.
A step-by-step guide for migrating legacy .NET apps to Azure Container Apps, including readiness checks, networking, CI/CD, and operations.
Compare active-active and active-passive Azure DR patterns for Malaysian enterprises across RTO/RPO, latency, cost, failover, and operations.
A practical disaster recovery guide for Malaysian enterprises using Malaysia West as primary and Southeast Asia as the recovery region.
A practical architecture comparison for Malaysian enterprises choosing hub-and-spoke networking or Azure Virtual WAN in Malaysia West.
Practical guide to Microsoft Fabric Real-Time Intelligence for live dashboards, covering Eventstreams, KQL, Power BI, governance, and lean teams.
Guide to Azure landing zones for Malaysia West, covering governance, networking, identity, security, migration, and operations.
A practical Azure DR guide for Malaysian SMEs comparing Azure Backup and Veeam across RTO/RPO, immutability, cost, operations, and recovery readiness.
Build note on running a multi-agent content pipeline with Hermes Agent, Ghost, scheduled agents, SEO review, and Buffer distribution.
How Microsoft Fabric and SQL Server are converging for operational analytics, lakehouse governance, and AI-ready data platforms.
A practical guide to OneLake security GA for Fabric governance, covering row-level, column-level, workspace, and AI agent access patterns.
A practical Azure Malaysia West architecture guide covering landing zones, networking, DR, security, operations, and migration readiness.
A practical decision framework for Azure OpenAI versus self-hosted LLMs on Azure, including cost, security, control, and GPU operations.
Microsoft Fabric vs Azure Synapse for 2026: decision framework, pricing comparison, and real-world use cases for analytics teams.
Azure Virtual WAN vs hub-and-spoke: choose based on scale, routing control, operational maturity, and enterprise growth plans.
Where Azure Local fits for Malaysian enterprises: latency, governance, Azure Malaysia region context, and hybrid architecture trade-offs.
Production AI agents need observability, error handling, fallback visibility, and cost control — not just better prompts.
Azure Landing Zones for AI workloads: design for GPU quotas, model registries, data pipelines, identity, monitoring, and secure operations.
Everyone is talking about multi-agent systems in 2026. Here is what actually changes when you build and run a real multi-agent content pipeline.
A practical comparison of Hermes Agent and OpenClaw for AI agent operations, gateways, orchestration, automation, and production reliability.