惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

V
Visual Studio Blog
T
Tailwind CSS Blog
Google DeepMind News
Google DeepMind News
D
DataBreaches.Net
P
Proofpoint News Feed
Simon Willison's Weblog
Simon Willison's Weblog
Microsoft Azure Blog
Microsoft Azure Blog
MongoDB | Blog
MongoDB | Blog
腾讯CDC
月光博客
月光博客
A
Arctic Wolf
T
Threatpost
Jina AI
Jina AI
博客园 - 聂微东
美团技术团队
V
V2EX
云风的 BLOG
云风的 BLOG
宝玉的分享
宝玉的分享
Recent Commits to openclaw:main
Recent Commits to openclaw:main
M
MIT News - Artificial intelligence
S
Secure Thoughts
Martin Fowler
Martin Fowler
Webroot Blog
Webroot Blog
V
Vulnerabilities – Threatpost
爱范儿
爱范儿
人人都是产品经理
人人都是产品经理
Help Net Security
Help Net Security
Google Online Security Blog
Google Online Security Blog
博客园 - Franky
The Last Watchdog
The Last Watchdog
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
阮一峰的网络日志
阮一峰的网络日志
博客园 - 【当耐特】
S
Schneier on Security
Application and Cybersecurity Blog
Application and Cybersecurity Blog
Know Your Adversary
Know Your Adversary
Latest news
Latest news
有赞技术团队
有赞技术团队
AWS News Blog
AWS News Blog
cs.CV updates on arXiv.org
cs.CV updates on arXiv.org
Y
Y Combinator Blog
G
Google Developers Blog
NISL@THU
NISL@THU
H
Heimdal Security Blog
L
LangChain Blog
T
Troy Hunt's Blog
I
InfoQ
U
Unit 42
C
Check Point Blog
Engineering at Meta
Engineering at Meta

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant Common SOC 2 Failures (Real World) Stop Vibe-Checking Your AI App: A Practical Guide to Evals How to Use SonarQube and SonarScanner Locally to Level Up Your Code Quality Your Next To-Do App Is Dead — I Replaced Mine with an OpenClaw AI Sign a Nostr event in 60 lines of Python using coincurve — no nostr-sdk, no nbxplorer, no rust toolchain ITGC Audit Explained Like You’re in Big 4 Patch Tuesday abril 2026: Microsoft parcha 163 vulnerabilidades y un zero-day en SharePoint Stop scraping everything: a better way to track competitor price changes Listing on MCPize + the Official MCP Registry while routing payments OUTSIDE the marketplace — how I kept 100% of my x402 revenue Building an AI-Powered Risk Intelligence System Using Serverless Architecture Why We Ripped Function Overloading Out of Our AI Toolchain Testing AI-Generated Code: How to Actually Know If It Works SaaS Churn Is Killing Your Business. Here Is What to Do About It (Without a Support Team) The Speed of AI Is No Longer Linear - And Self-Improving Models Are Why How to Implement RBAC for MCP Tools: A Practical Guide for Engineering Teams From Standard Quote to Persuasive Proposal: AI Automation for Arborists I built a CLI that scaffolds complete multi-tenant SaaS apps Axios CVE-2025–62718: The Silent SSRF Bug That Could Be Hiding in Your Node.js App Right Now The dashboard that ended our friendship Data Pipelines Explained Simply (and How to Build Them with Python) The Hidden Cost of AI Systems Nobody Talks About. undefined vs undeclared, and how typeof behaves Switching from file-based jobs to NATS/Kafka in Rust without changing code io_uring Adventures: Rust Servers That Love Syscalls Why Agentic AI is Killing the Traditional Database The POUR principles of web accessibility for developers and designers Quantum Neural Network 3D — A Deep Dive into Interactive WebGL Visualization How To Install Caveman In Codex On macOS And Windows Automation Pipeline Reliability: Why Your Workflow Breaks When Nobody Is Watching I Built an 'Open World' AI Coding Agent — It Works From ANY Folder From Freelancing to Product: A Tech Service Company's SaaS Transformation China's AI Giants: Adding Tencent Hunyuan & ByteDance Doubao to AI University (74 Providers) On the Vibe Coders and Their Lies clerk: Auto-Summarize Your Claude Code Sessions AI Weekly — 2026/04/10–04/17 | The Model Lockdown Is Here, but the Toolchain Is the Real Battleground AI 週報 — 2026/04/10–2026/04/17 模型封鎖潮來了,但工具鏈才是真戰場 Maybe this is how Open-Source apps are born... 🚀 Fine-Tune LLMs with LoRA and QLoRA: 2026 Guide tRPC v11 + Next.js App Router: End-to-End Type Safety Without the Boilerplate ShadCN UI in 2026: Why I Stopped Installing Component Libraries and Started Owning My Components SaaS Billing in React Server Components: Stripe + Supabase Without a Single `useEffect` Join our DEV Weekend Challenge — $1,000 in Prizes Across TEN winners! Submissions Due April 20 at 6:59 AM UTC. Implementing FSRS Spaced Repetition in Flutter + Supabase — Adding Memory Science to an AI Learning App "I Texted My Localhost From the Train — Claude Code Fixed the Bug Before I Got Home" I Built a Sales Prep AI and It Went Deeper Than Expected Design to Code #2: One JSON, Eleven Outputs Solving the 100M-Row Problem: A Summary Table Pattern for High-Volume Push Notification Logs Flutter Web With Wasm: What Actually Changes For Developers I Built 50 Royalty-Free Soundtracks for My Side Project in a Weekend Using AI Music Generation The Vibe Coding Security Checklist: 7 Things to Check Before You Ship Stop Letting Googlebot Guess Fix Your React App's SEO Right Desconstruindo o Streaming do LinkedIn: Como Criar um Engine de Extração de Vídeo de Alta Performance com HLS e FFmpeg (EDA Part-1) EDA (Exploratory Data Analysis) Explained With Real Life — Why Looking at Your Data Is the Most Important Step in Machine Learning Brand Relationship Management at Scale: Our 4-Touch Outreach System for 200+ Brands Why String.fromEnvironment() Might Return an Empty String in Dart JGuardrails 1.0.0 — Hardening Java LLM Apps Against Jailbreaks, Toxicity, and Prompt Injection Plan and Schedule a Full Week of Threads Content From One Claude Conversation Coding Cat Oran Ep3, Five Tables Changed Everything Updated: BFF Pattern I'm done watching freelancers get buried by 200 proposals. So I'm building the alternative. This is my first post BFS Algorithm in Java Step by Step Tutorial with Examples Tracking LLM Pricing Monthly: An Open Dataset for 22 AI Models How We Measure Content ROI on a Comparison Site: Revenue Attribution Without Perfect Data Introducing Nova AI Ops: The AI-Native Operating System for SRE Teams I built a free desktop video downloader for Windows — Grabbit How Talkie OCR Helps Vision-Impaired & Dyslexic Users Read the World Around Them VRCFaceTracking安装和iPhone面捕配置教程,有bug Even CrowdStrike Can't See Your Agents The Automation Gold Rush: What n8n Workflows and Claude Are Opening Up for Developers Right Now
Why Docker Breaks Inside MicroVMs (Part 1): The Linux Assumptions You Didn’t Know You Were Relying On
Arnab Chatte · 2026-04-24 · via DEV Community

We tried running Docker inside a microVM. It failed before the first container even started.

The error wasn’t helpful:

cgroup mountpoint does not exist

Enter fullscreen mode Exit fullscreen mode

On a normal EC2 instance, Docker just works. Same binary, same commands. Here, it couldn’t even initialize.

This wasn’t a Docker issue. It wasn’t a kernel bug either. It was something more subtle: we were relying on parts of Linux that weren’t there anymore.

The part nobody thinks about

On a normal Linux system, you don’t start from zero. By the time you SSH into a machine and type docker run, a lot has already happened. You SSH in, run Docker, and it works. If it doesn’t, it’s usually your fault , a wrong command or wrong config.

Here, it didn’t feel like our mistake. It felt like something fundamental was missing. So instead of poking Docker, we started looking at the system itself.

The error mentioned cgroups. So we checked:

ls /sys/fs/cgroup

Enter fullscreen mode Exit fullscreen mode

Nothing useful.

Then:

mount | grep cgroup

Enter fullscreen mode Exit fullscreen mode

Nothing.

That’s when it clicked, this wasn’t misconfigured. It just wasn’t there.

This is where the mental model breaks

On a normal Linux system, /sys/fs/cgroup exists. Always. You don’t create it. You don’t mount it. It’s just… part of the system.

Except it’s not, Something mounts it during boot. You just never see it happen.

Inside the microVM, nothing had done that step so Docker tried to create its cgroup hierarchy, and the kernel basically said: “there’s no interface here”.

We mounted it manually:

mount -t cgroup2 none /sys/fs/cgroup

Enter fullscreen mode Exit fullscreen mode

Ran Docker again and it got further and ........ then it failed again.

That pattern kept repeating

Fix one thing and then hit the next wall. That’s when the debugging strategy changed for us .

Instead of asking:

“Why is Docker failing?”

We started asking:

“What is Docker assuming exists right now?”

Because clearly, a lot of those assumptions were wrong.

Realizing what systemd normally hides

On a full distro, systemd does a lot of work before you ever log in. You don’t notice it, but it:

  • mounts /proc, /sys, /dev

  • sets up cgroups

  • initializes parts of networking

  • prepares the runtime environment

In a microVM, none of that is guaranteed. There’s no systemd unless you put it there. Which means if something like /proc or /sys is missing or incomplete, nothing fixes it later.

You are effectively writing the boot process. We weren’t thinking about it that way initially. We were treating the microVM like a small server but that assumption kept breaking.

Docker is not as “self-contained” as it looks

Before this, I would’ve said Docker is pretty self-sufficient. It bundles a lot of things, abstracts a lot of complexity. That’s only true at the application layer.

Underneath, it leans heavily on the kernel:

  • cgroups for resource control

  • namespaces for isolation

  • networking primitives

  • packet filtering

If any of those aren’t wired up properly, Docker doesn’t degrade gracefully. It just stops.

The cgroup issue was just the first place it crashed.

Networking was where things got confusing

After fixing the basic mounts, Docker started initializing containers. Then networking broke.

At that point, it helps to step back and ask a very simple question:

How does a container actually reach the internet?

It sounds obvious, but if you try to answer it precisely, things get fuzzy.

Inside a container:

  • it has its own IP (something like 172.17.x.x)

  • it doesn’t share the host interface

  • it’s isolated in its own namespace

So how does a packet actually leave?

Rebuilding that understanding from scratch

We ended up tracing it step by step.

When Docker starts a container, it creates a new network namespace. That part is straightforward, it’s basically a separate network stack. Then it creates a veth pair. One side stays on the host, the other moves into the container.

That gives the container an interface. But it’s still not connected to anything useful.

So Docker plugs the host side into a bridge (docker0). Now containers can talk to each other.

But still no internet........

The last part is NAT. When a packet leaves the container:

  • it goes through the veth

  • hits the bridge

  • gets routed toward the host interface

But the source IP is something like 172.17.x.x, which doesn’t work outside.

So the kernel rewrites it to the host’s IP. That’s what actually lets containers talk to the outside world.

The extra layer we didn’t account for

All of that happens inside a normal VM. In our setup, there was another boundary.

The container was inside a microVM. That VM itself had a virtual NIC, backed by a tap device on the host.

So the path looked like this:

container → bridge → VM eth0 → virtual NIC → host → internet

Enter fullscreen mode Exit fullscreen mode

That’s two networking environments stacked on top of each other. If anything is missing at either level, packets don’t behave the way you expect. And the errors don’t tell you which layer is broken.

Where this goes next

Once Docker got past initialization, it hit this:

iptables: Failed to initialize nft: Protocol not supported

Enter fullscreen mode Exit fullscreen mode

That looks like a small issue. Change a setting, maybe switch a backend. But by this point, it was clear this wasn’t going to be a one-line fix.

That error sits on top of:

  • how packet filtering works in the kernel

  • how iptables talks to it

  • and what your kernel was actually compiled with

That’s where the real debugging started.

The takeaway from Part 1

The biggest shift wasn’t technical. It was mental. We stopped treating the microVM like a normal machine.

Instead:

  • nothing is assumed to exist

  • every layer has to be verified

  • and every fix reveals the next dependency

You’re not debugging Docker. You’re discovering what a “working Linux environment” actually consists of.

Part 2 is where we will discuss how that mental model pays off, because the iptables failure only makes sense once you see all the layers underneath it.