Sr. Engineer Michael Rice built a custom MCP and a stack of domain-specific AI skills that diagnose Digital Rebar support bundles faster than a senior engineer can open a log file.
AI has advanced a lot, but it’s still not enough to handle infrastructure operations. Why is that?
Choice is freedom from lock-in. When you diversify vendors and platforms, you maintain leverage, reduce costs, and accelerate innovation. The companies seeing 30%+ savings aren’t getting lucky with procurement; they’re building operational flexibility that drives better outcomes.
Let’s talk about speed in IT operations. Not the kind where you rush through deployments and hope nothing breaks, but the kind where your infrastructure
TL;DR: Scaling infrastructure isn’t about adding more servers or people. It’s about eliminating the manual processes and configuration drift that make growth expensive and unreliable.
Air gaps are often treated like a binary — either you’re connected or you’re not. But in practice, there are multiple levels of separation, and
If your bare metal operations feel stuck, slow, or fragile, the root cause probably isn’t your tech. Instead, it’s your process. Improving your bare metal
The IT supply chain isn’t what it used to be. Between tariffs, sudden price hikes, and unpredictable shortages, keeping infrastructure costs under control feels like
IT infrastructure automation faces key challenges that can hinder efficiency and collaboration. From siloed efforts to unreliable tools, these obstacles can make scaling automation difficult.
Year over year, Gartner® analysts predict massive changes. Sometimes the market changes are relatively minor, but sometimes they’re the canary in the coal mine for
