This is the ZVM Labs personal library: books, courses, documentation, articles, channels, and other resources that should be read as part of a learning route, not as a random link list.
Each item should explain: what it is, who it is for, why it matters, and my own note after reading, watching, or completing it. If a resource has not been fully reviewed yet, that should be stated clearly.
How To Read This Page
- Books - foundational sources worth revisiting.
- Courses - structured learning with practice or knowledge checks.
- Documentation - primary sources for tools, standards, and platforms.
- Links - useful resources that do not always need a full article.
- My note - a short author comment: what was useful, what was weak, and who should not start here.
Entry Format
Each resource is added as its own Markdown file in content/library/. This gives every item a dedicated page, translation, status, topic, level, author note, and link without turning the library into one long table.
New Ukrainian resource:
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English version of the same resource:
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New resources use the archetypes/library.md template.
Recommended Tracks
Cybersecurity
Security resources should separate learning from actions on real systems. This library should keep resources that explain thinking, boundaries, risk, defense, and responsible testing.
What to add: basic courses on networking, Linux, web security, defensive security, incident response, secure configuration, and security governance.
My evaluation frame: does the resource explain not only an attack or tool, but also the risk, control, safe-practice boundary, and evidence of the result?
Infrastructure And Linux
This track is a foundation for security, automation, and technical administration.
What to add: books and courses on Linux, networking, DNS, HTTP, TLS, shell, system administration, monitoring, backups, and permissions.
My evaluation frame: can I test something hands-on after the resource and explain the result in plain language?
AI And Automation
AI resources should be judged by practical usefulness, result verification, and clear limits of trust in models.
What to add: courses on prompt engineering, AI workflows, retrieval, automation, model evaluation, AI governance, and safe AI use in documentation.
My evaluation frame: does the resource help build a checkable process, instead of just producing more text?
GRC, Risk, And Technical Leadership
This track connects technical facts with decisions, policies, controls, and team communication.
What to add: resources about risk management, governance, controls, audit readiness, privacy, policy writing, decision records, and incident communication.
My evaluation frame: does the resource help translate a technical problem into risk, responsibility, and a decision?
Programming And Technical Writing
This is the base for tools, documentation, automation, and clear materials.
What to add: resources on Python, C/C++, shell scripting, web basics, software design, documentation, editing, diagrams, and publication workflow.
My evaluation frame: does the resource make thinking more precise and the output clearer for another person?
Contribution Rules
- Do not add a resource without a short explanation of why it belongs here.
- If a link is sponsored, affiliated, or commercial, label it according to Affiliate Disclosure and Advertising.
- Do not call a resource “the best” when it is simply useful at a specific stage.
- Mark the status: planned, reading, completed, revisit, or archived.
- For courses, note whether there is practice, a certificate, labs, or a project result.
- For books, note whether it is a foundation, reference, introduction, or difficult read.
Connection To ZVM Labs
The library should support other pages:
- Learning Roadmap - what is being studied now and next.
- Evidence Map - which competencies are supported by materials.
- Workshop - where personal lessons, research, and practical materials appear.
- Posts - where resources become explanations, write-ups, and conclusions.
This page is not just a list of things to read. It is a map of how external sources become personal thinking, practice, and evidence.
