Our Mission: No Fluff, Just Engineering.
The internet is currently drowning in shallow technical content. You know the kind: articles that read like rehashed vendor marketing brochures, or tutorials that only cover the “happy path” and fall apart the moment you hit a real-world snag.
Rack2Cloud exists to counter that noise.
We are built for Systems Engineers, Cloud Architects, and IT professionals who need practical, field-tested insights to do their jobs better. We respect your time too much to publish fluff.
These guidelines are our promise to you that the content on this site is rigorous, honest, and rooted in actual engineering experience.
1. Who Writes for Rack2Cloud
Authority doesn’t come from a job title; it comes from getting your hands dirty.
Our content is not written by generalist copywriters. Rack2Cloud articles are written by practicing Systems Engineers, Solutions Architects, and seasoned IT veterans.
We write based on what we have broken in the lab, what we have fixed in production at 3:00 AM, and the complex solutions we design for actual customers every day. If we haven’t lived it or labbed it, we generally won’t write about it.
2. Defining the “Deep Dive”
You will often see articles on our site tagged as a “Deep Dive.” We do not use this term lightly. For an article to earn this designation, it must meet specific criteria:
- Beyond the Docs: It must go beyond repeating official vendor documentation. It needs to explain the why behind a feature, not just the what.
- Architectural Impact: It must discuss the architectural implications of a technology, including how it affects upstream and downstream systems.
- The Reality of Trade-offs: There is no perfect solution in IT. A true Deep Dive must honestly discuss the trade-offs, limitations, and potential gotchas of a specific configuration or platform.
3. Our Technical Vetting Process
How do we ensure the complex technical claims in our Deep Dives and comparison guides are accurate? We employ a rigorous three-stage vetting process designed to build trust.
Stage 1: The “Lab-First” Requirement
Theory is nice, but execution is everything. Whenever feasible, configurations, tutorials, and performance claims are validated in a live home lab or cloud sandbox environment before publication. If we tell you a specific PowerShell script works or a certain Nutanix AOS feature behaves a certain way, it is because we just watched it happen on our own metal.
Stage 2: The Peer Challenge
Before a major technical piece goes live, it is reviewed by at least one other experienced engineer with relevant domain expertise. Their job is not to copyedit, but to challenge architectural assumptions, pressure-test our arguments, and ensure we aren’t overlooking critical edge cases.
Stage 3: Documentation Anchoring
While we go beyond the docs, we never contradict them without strong evidence. Our articles are cross-referenced against official vendor documentation (AWS, Azure, VMware, Nutanix) to ensure our foundational terminology and stated limitations align with current supported standards.
4. Objectivity and Vendor Neutrality
Rack2Cloud frequently compares competing juggernauts like Nutanix vs. VMware, or AWS vs. Azure.
We are independent. We do not accept payment from vendors in exchange for favorable coverage or reviews.
Our comparisons are based on verifiable technical criteria—architecture, hard scalability limits, licensing models, and operational realities. We do not fanboy over brands. If a platform has a glaring weakness or an expensive hidden cost, it is our responsibility to highlight it so you don’t discover it post-deployment.
5. AI and Content Generation Policy
We believe generative AI is a powerful tool for engineers, but it is not a replacement for expertise.
We use AI tools to help outline complex thoughts, clean up grammar, or generate metadata (like SEO descriptions).
We do not use AI to generate technical advice, architectural recommendations, or code snippets without rigorous human verification and lab testing. The insight in our articles comes from human experience; AI just helps us type it faster.
6. Corrections and Updates
Technology changes fast. APIs deprecate, versions update, and sometimes, despite our best efforts, we might get something wrong.
If you spot a technical inaccuracy in any of our articles, please reach out. We don’t stealth-edit our mistakes. Significant technical corrections will be made transparently, with an update note logged at the bottom of the article indicating what changed and when.