About
DevOpsNess
DevOpsNess publishes step-by-step engineering tutorials and production case studies on AI, cloud, DevOps, Kubernetes, Docker, Terraform, CI/CD, Linux, and reliability. Articles include runnable commands and config, real metrics (for example, cutting an LLM inference bill from $11,200 to $2,300/month), and the tradeoffs behind each decision — not tool summaries.
Published by Kiril Urbonas, AI Engineer.
Who writes this
DevOpsNess is written and edited by Kiril Urbonas, an AI engineer who works hands-on with LLM systems, cloud infrastructure, and DevOps tooling. Articles draw on production experience — real costs, real incidents, and the tradeoffs behind each decision — across AI/MLOps, Kubernetes, Docker, Terraform, CI/CD, and Linux. Connect on LinkedIn.
What You Can Expect
- Production-focused tutorials with clear implementation steps.
- Architecture and tradeoff analysis, not just tool overviews.
- Operational guidance for observability, incident readiness, and release safety.
- Repeatable patterns for platform teams and growing engineering orgs.
Editorial Standards
Every article is written to be actionable: concrete examples, realistic constraints, and explicit assumptions. Posts are revised when platform behavior changes, guidance becomes stale, or better implementation patterns emerge.
AI Use Disclosure
AI tools may assist with drafting, outlining, or research support. Final technical judgment, validation, and publication decisions are made by a human editor.
Corrections and Contact
If you find an error, outdated recommendation, or unclear section, please reach out. Correction requests and editorial feedback are welcome through the author links shown on posts.