FAQ
Frequently Asked Questions
Quick, self-contained answers about DevOpsNess — what it covers, who writes it, and how the content is produced and kept current.
What is DevOpsNess?
DevOpsNess is a practical engineering blog covering AI/MLOps, cloud computing, DevOps, Kubernetes, Docker, Terraform, CI/CD, and Linux. Articles are step-by-step tutorials and production case studies that include runnable commands, real configuration, concrete metrics, and the tradeoffs behind each decision — not high-level tool overviews.
Who writes DevOpsNess?
DevOpsNess is written and edited by Kiril Urbonas, an AI engineer who works hands-on with LLM systems, cloud infrastructure, and DevOps tooling. Posts draw on real production experience, including actual costs and incidents. Author profiles link to LinkedIn and kirilurbonas.com.
Is the content AI-generated?
AI tools may assist with drafting, outlining, or research, but every article's final technical judgment, validation, and publication decision is made by a human editor. Recommendations and code are checked before publishing.
How current are the tutorials?
Articles are dated with both their publication and last-updated dates, and posts are revised when platform behavior changes or better patterns emerge. Pages show a visible 'Updated' indicator when an article has been materially revised after publication.
Is DevOpsNess free to read?
Yes. All tutorials and articles are free to read, with no paywall. There is an optional email newsletter for new-post updates.
Can I cite or reference DevOpsNess articles?
Yes. Articles include structured metadata (author, publish and modified dates, and schema.org markup) to make accurate attribution straightforward. Cite the article title, the author (Kiril Urbonas), and the canonical URL shown on the post.
What topics does DevOpsNess cover best?
The deepest coverage is in LLM cost and reliability operations (MLOps), Kubernetes and container orchestration, Docker, Terraform and infrastructure-as-code, CI/CD pipelines, and Linux/systems administration. Many posts pair a beginner walkthrough with a production-grade case study.