Azure Backup vs Veeam on Azure: Which DR Strategy for Malaysian SMEs?
A practical DR decision guide for Malaysian SMEs comparing Azure Backup and Veeam on Azure across RTO/RPO, cost, immutability, operations, and recovery readiness.
Every article published on Law Wen Feng | Cloud and AI Architect.
A practical DR decision guide for Malaysian SMEs comparing Azure Backup and Veeam on Azure across RTO/RPO, cost, immutability, operations, and recovery readiness.
A practical build note on running a multi-agent content pipeline with Hermes Agent, Ghost, scheduled agents, SEO review, and Buffer-based social distribution.
SQL estates, lakehouse analytics, real-time intelligence, and AI agents are converging. Here is how to plan the architecture without creating another data silo.
OneLake security makes Fabric governance more practical, but architects still need clear workspace, role, row, column, and agent-access patterns.
A practical architecture planning guide for Malaysian enterprises evaluating Azure Malaysia West, covering landing zones, service availability validation, networking, DR, security, operations, and migration readiness.
A practical decision framework for choosing between Azure OpenAI and self-hosted open-source LLMs on Azure, covering cost, control, GPU operations, data protection, and production architecture trade-offs.
Microsoft Fabric vs Azure Synapse: Which data platform fits your 2026 strategy? Decision framework, pricing comparison, and real-world use cases for analytics engineers.
Azure Virtual WAN and hub-and-spoke are both valid enterprise network patterns. The right choice depends on scale, routing control, operations maturity, and three-year growth expectations.
A corrected, fact-checked view of 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.
Standard Azure Landing Zones break down when GPU quotas, model registries, and petabyte-scale data pipelines enter the picture. Here is the architecture I would build today.
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.
Practical field notes from running Hermes Agent and OpenClaw side by side for cloud, automation, and personal AI operations.