By Davlet Dzhakishev Most teams I talk to are in the same situation. Years of cloud infrastructure built the fast way — clicking through the portal, running one-off CLI commands, bash scripts copied from Stack Overflow at 2am. It works. Things are running. Nobody's touched it since. And now
The industry is adopting AI for infrastructure at wildly different speeds. The architectural guidance hasn't kept up with any of them. We talk to infrastructure teams every week. The spectrum of where they are with AI is striking. Some are still in copilot mode — autocomplete for Terraform, AI-assisted
How AI is Transforming the Way Developers Interact with Infrastructure The promise of DevOps was simple: break down silos between development and operations, ship faster, and empower everyone to take ownership of the software delivery lifecycle. But somewhere along the way, that promise got complicated. Instead of liberation, many development
People often don’t get what deterministic AI means. They think it’s about making LLMs rigid, predictable, or less creative. That’s wrong. It’s about giving them tools and scaffolding, so their output is trustworthy. Think of your own work as a developer. Maybe for hours you can
If you thought AI wouldn’t impact DevOps as much as it’s transforming software engineering because DevOps is somehow special or more complex—you might already be behind. AI’s impact on Infrastructure as Code (IaC), the standard for scalable and manageable cloud setups, is already well underway. In
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When I first approached compliance—ISO27001, SOC2, and similar certifications—it felt overwhelming. Pages upon pages of cryptic requirements, vague terms, and lengthy documentation made it seem like climbing Everest without a map. But once I zoomed in, it started making sense. Turns out, these guidelines are actually pretty straightforward,