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

人人都是产品经理
人人都是产品经理
Apple Machine Learning Research
Apple Machine Learning Research
云风的 BLOG
云风的 BLOG
罗磊的独立博客
博客园 - 三生石上(FineUI控件)
量子位
GbyAI
GbyAI
腾讯CDC
T
Tailwind CSS Blog
博客园 - Franky
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
D
Docker
G
Google Developers Blog
aimingoo的专栏
aimingoo的专栏
The GitHub Blog
The GitHub Blog
Microsoft Security Blog
Microsoft Security Blog
Stack Overflow Blog
Stack Overflow Blog
Hugging Face - Blog
Hugging Face - Blog
小众软件
小众软件
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
N
Netflix TechBlog - Medium
Jina AI
Jina AI
IT之家
IT之家
Y
Y Combinator Blog

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
"macOS: nslookup works but curl and Python \"Could not re...
John · 2026-06-26 · via DEV Community

John

Originally published on hexisteme notes.

If nslookup resolves a host fine but curl, pip, and Python (requests/httpx) fail with "Could not resolve host," your mDNSResponder daemon has almost certainly entered a non-responsive "zombie" state — and the fix is to restart it (sudo killall -9 mDNSResponder), not to touch your API keys, SDK versions, or code.

This failure is maddening because every signal points the wrong way. nslookup example.com returns a clean IP, so DNS "works." Your network is up. Your code didn't change. Yet curl, pip install, and every Python HTTP call die with "Could not resolve host." People burn hours rotating API keys, downgrading SDKs, and editing config files. None of that is the problem.

The two-DNS-path asymmetry (your fastest diagnosis)

macOS resolves DNS over two independent paths, and the asymmetry is the diagnosis:

Path Who uses it Goes through mDNSResponder?
Direct nslookup, dig No — queries DNS servers directly
System resolver curl, Python, pip, most apps (getaddrinfo()) Yes — routes to the daemon

The daemon can keep its PID alive while silently refusing to answer. So the direct path (nslookup) succeeds and the system-resolver path (curl) fails on the exact same host. When one path works and the other fails, you are not looking at a network, key, or code problem — you are looking at a sick daemon.

Confirm it in 10 seconds

Use the daemon path directly so you're testing the same route curl uses:

# Uses the mDNSResponder path (same as curl/Python). Empty result = zombie.
dscacheutil -q host -a name example.com

# ...while the direct path still returns a valid IP:
nslookup example.com

If dscacheutil comes back empty but nslookup returns an IP, the daemon is confirmed. One more check proves routing and TLS are fine and isolates the daemon as the sole cause:

curl --resolve example.com:443:<IP-from-nslookup> https://example.com
# Succeeds? Then DNS resolution is the only broken thing.

Fix it weakest-tool-first

# 1) flush + reload (least disruptive)
sudo dscacheutil -flushcache && sudo killall -HUP mDNSResponder

# 2) kickstart the service
sudo launchctl kickstart -k system/com.apple.mDNSResponder

# 3) universal hammer (if kickstart prints "Could not find service" —
#    the service path differs across macOS versions)
sudo killall -9 mDNSResponder mDNSResponderHelper
#    launchd's KeepAlive immediately restarts it with a fresh PID.

# verify
pgrep -l mDNSResponder && dscacheutil -q host -a name example.com

Why agents and long-lived dev boxes hit this repeatedly

The zombie is usually triggered by connection-pool exhaustion. Many concurrent outbound long-poll connections — several MCP servers, a local inference/LLM server, and a background job all holding sockets open at once — push mDNSResponder into high CPU until it stops answering.

Measured case: 30+ concurrent long-poll connections drove mDNSResponder to 77% CPU and into the non-responsive state. The recovery alone doesn't stop recurrence — you have to find and cut the connection source. Watch for the active connection count climbing (lsof -i -P -n | wc -l in the 80+ range) and mDNSResponder CPU above ~30%.

"Disabled" in config does not mean the process is dead

A subtle trap when hunting the connection source: a server can be flagged off at the code/config level (an ENABLED=False switch) while its OS process keeps running and keeps holding its long-poll connections. The flag stopped new work from being dispatched but never killed the process, so it kept feeding the pile-up. When auditing, check ps/pgrep for the actual process and its elapsed time — not just the config flag.

pgrep -lf <server-name>        # still there?
ps -o pid,etime,%cpu,command -p <pid>

Prevent recurrence — and the honest limitation

Two durable fixes: reduce concurrent long-poll load (trim always-on servers/MCP endpoints, kill stale inference servers, and on a box that runs for many days, restart mDNSResponder on a schedule), or install a watchdog LaunchDaemon that kickstarts the daemon when its CPU crosses a threshold.

Honest caveat: this exact two-path asymmetry is macOS-specific — it's mDNSResponder/getaddrinfo behavior, not Linux's nsswitch/resolv.conf. And a watchdog that calls launchctl kickstart needs root: implement it as a LaunchDaemon running as root with a narrowly scoped script, not a broad sudo NOPASSWD rule. The watchdog is a band-aid — the real fix is capping concurrent connections.


More notes on building & running an AI agent fleet at hexisteme.github.io/notes.