Comprehensive toolkit and research companion for understanding Docker's internal architecture, performance characteristics, and security model.
This repository accompanies the paper:
"Decomposing Docker Container Startup Performance: A Three-Tier Measurement Study on Heterogeneous Infrastructure" Shamsher Khan, 2026 arXiv: [cs.PF] — link will be added upon acceptance
The research/ directory contains the benchmark scripts, raw CSV data, and analysis tools for full reproducibility of all results reported in the paper.
This repository contains:
- Automated analysis toolkit — Scripts to benchmark and audit Docker containers
- Security hardening guides — Production-ready configurations and examples
- Research documentation — Deep-dives into Docker internals with measurement data
- Reference materials — Architecture diagrams, CVE analysis, performance data
- Docker Engine 20.10+ (tested on 28.x)
- Tested Platforms:
- Ubuntu 22.04 (Azure VM) — All 10 tests complete
- macOS Docker Desktop 28.4.0 — 7/10 tests (expected; strace/eBPF unavailable)
- Root/sudo access for system inspection
git clone https://github.com/opscart/docker-internals-guide.git
cd docker-internals-guide/toolkit
chmod +x docker-analysis-toolkit.sh
sudo ./docker-analysis-toolkit.shOutput: Comprehensive report covering all 10 tests including:
- Container startup latency (cold/warm)
- Syscall tracing with strace
- OverlayFS layer inspection
- I/O performance and copy-up overhead
- Network performance analysis
- Memory efficiency and page cache sharing
- Security posture audit
- CPU throttling verification
- Namespace isolation inspection
- eBPF-based syscall tracing (optional)
Platform Results:
- Linux: All 10 tests execute (see examples)
- macOS: 7/10 tests (strace, eBPF not available — expected)
- Container startup latency — Cold vs warm start times
- OverlayFS inspection — Image layer structure
- I/O performance — Write speed and copy-up overhead
- Network latency — Bridge vs host mode
- Memory efficiency — Page cache sharing
- CPU performance — Throttling and cgroup limits
- Capability inspection — Default and custom capabilities
- Privileged containers — Dangerous configuration detection
- Docker socket exposure — Root-equivalent access risks
- Namespace isolation — PID, network, mount verification
- Resource limits — Memory and CPU constraint validation
docker-internals-guide/
├── research/ # Measurement data & reproducibility
│ ├── statistical-benchmark.sh # 50-iteration benchmark runner
│ ├── analyze_results.py # Cross-platform comparison
│ └── results/ # Raw CSV data per platform
├── toolkit/ # Performance & security analysis
│ ├── docker-analysis-toolkit.sh # Main script
│ └── examples/ # Sample outputs
├── security-configs/ # Hardening guides
│ ├── docker-security-hardening.md
│ └── examples/ # Seccomp, AppArmor configs
└── tests/ # Individual test scripts
Ubuntu/Debian:
sudo apt-get install -y docker.io strace jq linux-tools-genericRHEL/CentOS:
sudo dnf install -y docker strace jq perfdocker run -d \
--cap-drop=ALL \
--cap-add=NET_BIND_SERVICE \
--read-only \
--tmpfs /tmp \
--security-opt=no-new-privileges \
nginx:alpineSee security-configs/ for the complete hardening guide.
- Docker Security Practical Guide — Hands-on labs
- OCI Runtime Specification
- DZone: AI-Assisted Kubernetes Diagnostics — Related DevOps articles
MIT License — Free for personal and commercial use.
Shamsher Khan Senior DevOps Engineer, GlobalLogic (Hitachi Group) IEEE Senior Member
- GitHub: @opscart
- Blog: OpsCart.com
Status: Research Complete — Data Collection Finalized