
项目说明
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Cloud Infrastructure Engineering • Defensi • Homelab Operations


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> Documentation of secure infrastructure builds, hardening work, and detection/response engineering.
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Start Here
If you only have a few minutes:
1.
Capstone: CAPSTONE.md — design → deploy → monitor → respond
2.
Featured Projects: 01_projects — production-style builds + docs
3.
Detections & Runbooks: 03_detection + 04_runbooks — operational security maturity
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What I Build (Capabilities)
Secure cloud infrastructure using IaC (Terraform modules, en layouts, secure defaults)Identity-first security: least pri IAM, federation patterns, access reviews, break-glass workflowsCloud telemetry and defense: logging, detection logic, tuning notes, and incident response runbooksHardening and operations: Linux baselines, service segmentation, backups/DR procedures, postmortems---
Capstone (End-to-End Cloud Security Build)
A complete build with reproducible artifacts.
O: CAPSTONE.mdArchitecture: DiagramsThreat Model: DFDs + risks *(or link to your threat-model doc if you have one)*Infrastructure-as-Code: TerraformCI Security Gates: Pipelines *(SAST, dependency, IaC, container scan)*Detections: Rules + test eventsIR Runbooks: Playbooks + tabletopE: Sanitized <br>
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<a href="./ROADMAP.md">
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<sub><i>Weekly learning plan, milestones, and upcoming work.</i></sub>
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Featured Engineering Projects
*Outcome-dri with architecture + .*
| Project | Stack | Security / Engineering Focus | Proof | Link |
| :--- | :--- | :--- | :--- | :--- |
| Homelab Infrastructure | Coolify Docker Cloudflare | Segmentation, secure access patterns, ops runbooks | diagrams • hardening notes • e | View |
| Honeypot Network | T-Pot Elastic Stack | Telemetry pipeline, attacker behavior analysis, dashboards | detections • dashboards • writeups | View |
| Custom Compiler | Python C | Systems fundamentals, parsing discipline, safe coding patterns | tests • design notes | View |
> Each project folder includes: architecture, security notes, steps, and sanitized e where applicable.
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Repository Map
01_projects — production-style builds (IaC, deployments, architecture, ops)02_labs — focused experiments (AWS, Linux, networking, AppSec, Kubernetes)03_detection — detections-as-code, test events, tuning notes04_runbooks — incident response + operational procedures05_study — certification-aligned notes + concept deep dives06_writeups — CTF/wargame writeups with defensi07_diagrams — architecture diagrams, DFDs, threat models08_scripts — automation utilities (audits, log parsing, helpers)09_e — artifacts (sanitized)---
Detection Engineering & Incident Response
Detections: 03_detection — rules, rationale, tuning, mappingsIR Runbooks: 04_runbooks/incident-response — triage → containment → recoveryOps Runbooks: 04_runbooks/operations — backups/DR, access reviews, change control---
Knowledge Base
CompTIA Security+ (SY0-701) — objecti notes + mini-quizzesCloud Security Concepts — IAM, , KMS, goNetworking Internals — DNS, TCP/IP, subnetting, packet analysis---
Labs (Skill Proof)
AWS — IAM experiments, logging, secure S3/KMS patternsLinux Hardening — baselines, audits, system loggingAppSec — auth patterns, input , regression testsContainers & K8s — RBAC, network policies, admission controlsNetworking — captures, troubleshooting, protocol behavior---
Current Focus
[ ] Expand AWS detection pack (identity + persistence signals)[ ] Terraform module hardening + reusable secure defaults[ ] IR tabletop exercises and runbook iteration---
Documentation Standards
Every project/lab aims to include:
Architecture diagram (where relevant)Threat model (DFD + top risks)Secure-by-default configuration (IaC or hardening steps) e (tests, screenshots, commands, outputs)Lessons learned / postmortem notes---
Folder Structure
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<a href="./FOLDER_STRUCTURE.md">
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<sub><i>Click to view the complete repository folder structure (expanded).</i></sub>
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项目信息
开发语言:未知
Star 数:1
技术要点
该项目属于防护思路方向的开源资源,代码结构清晰,适合安全研究人员学习参考。项目围绕📖 Documentation of my cybersecurity homelab, cloud infrastructure engineering, and defensive security operations. Includes configurations for Coolify, Docker, and T-Pot honeypots.展开,提供了可运行的实现,对理解相关安全机制、工具原理与攻防技术具有较高的研究价值。
从技术实现角度看,此类项目的核心在于对底层原理的深入理解与工程化落地。开发者在研究过程中可以结合官方文档与社区讨论,梳理项目的初始化流程、核心模块职责与数据流转,逐步掌握其中的技术细节与设计思路。
使用与学习建议
1. 下载源码压缩包,解压到本地环境。
2. 根据项目类型准备对应的运行环境与依赖。
3. 按照 README 中的步骤完成配置与部署。
4. 在隔离的测试环境中运行验证,避免影响生产系统。
免责声明
本资源来源于开源社区,仅供安全研究、技术学习与合法授权范围内的攻防演练使用,请勿用于任何非法或侵害他人权益的用途。使用本项目产生的一切后果由使用者自行承担。