Beyond the Hyper-scaler: Why AI Inference is Moving to the Edge (and How to Architect It)
The ink is barely dry on the NVIDIA-Groq deal, and it confirms what many of us have suspected for the last eighteen months: The centralized cloud is struggling with inference. Don’t get me wrong—I rely on the cloud for training. There is no substitute for spinning up a massive GPU cluster to process terabytes of…
Governing The Shadow Architecture: A 2025 Guide to Enterprise LCNC
Around 2018, I watched a Fortune 500 financial firm lose six months of engineering velocity because a marketing sub-team built a “simple” customer intake portal using a No-Code tool that didn’t support their VPC security requirements. By the time the Security Architects found it, 50,000 PII records were sitting in an unencrypted third-party database. This…
- Amazon AWS | AWS Architecture | Azure Architecture | Business Continuity | Cloud Native | Disaster Recovery | Microsoft Azure
Building a Practical Disaster Recovery Plan for Your First Cloud Project
I still remember the first “cloud” Disaster Recovery (DR) plan I reviewed back in 2012. The team assumed that because their app was running on AWS, it was magically invincible. “It’s in the cloud,” they said. “Amazon handles that.” Six months later, us-east-1 had a wobble, and that team spent 14 hours manually rebuilding databases…
- Amazon AWS | Cloud Native | Engineering Tools | Google Cloud Platform | Microsoft Azure | Modern Infrastructure
Think Like an Architect: The Field Guide to Cloud Egress and Data Gravity
When you’re designing for Day 2 operations, you quickly realize that data isn’t just heavy—it’s expensive to move. I’ve seen countless “cloud-native” projects hit a wall during the scaling phase because the architect assumed egress was a flat overhead. It isn’t. It’s a variable tax that scales with your success. To build like an engineer,…
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