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OrbStack Performance Troubleshooting: AI-Optimized Technical Reference

Critical System Failures and Recovery

File Descriptor Leak (High Severity)

  • Problem: File descriptor leak bug affects large container setups with heavy bind mounts
  • Breaking Point: 8,000+ file descriptors causes system-wide failures
  • Root Cause: Each file gets descriptor that doesn't clean up properly
  • Affected Versions: Pre-1.6.2
  • Quick Diagnostic: lsof -p $(ps aux | grep OrbStack | head -1 | awk '{print $2}')
  • Immediate Fix: Restart OrbStack (temporary)
  • Permanent Fix: Upgrade to 1.6.2+
  • Prevention: Limit concurrent containers or use named volumes for data-heavy apps

Container Startup Failures After macOS Updates

  • Problem: macOS updates break hypervisor APIs regularly
  • Pattern: .1 or .2 point releases commonly cause issues
  • Example: macOS 14.1.2 broke com.apple.security.hypervisor entitlements
  • Emergency Recovery: sudo rm -rf ~/Library/Group\ Containers/HUAQ24HBR6.dev.orbstack/data/vz
  • Prevention: Check OrbStack releases before updating macOS
  • Recovery Time: OrbStack usually patches within days

Memory Leak in Text Editors

  • Problem: VS Code, Zed balloon to 20GB+ RAM when opening files from ~/OrbStack/ mount
  • Avoid: Direct file access from ~/OrbStack/[container]/
  • Workaround: Copy files out or edit inside container
  • Command: docker exec -it [container] vim /path/to/file

Performance Specifications and Limits

VirtioFS Performance Metrics

  • Optimal Performance: 75-95% of native macOS speed
  • Real-World Impact: 5-25% slower than native execution
  • Package Installation: pnpm install at 88% native speed (vs 40% Docker Desktop)
  • Large Files: 87% native performance (vs 60% Docker Desktop)
  • Database Operations: 76% native speed with proper fsyncing
  • Performance Cliff: Thousands of small files cause dramatic slowdowns

Memory Consumption Patterns

  • Default Limit: 8GB system memory (dynamic allocation)
  • Idle Usage: ~100MB
  • Single Rails App: 1-2GB total
  • Multiple Microservices: 4-6GB common
  • Large Databases: 3-4GB each (Postgres, MongoDB)
  • Critical Threshold: 16GB MacBook Pro with 6 containers can exceed available memory

CPU Overhead by Architecture

  • Native ARM64: 0-2% overhead vs native
  • x86 through Rosetta: 15-30% overhead
  • Build Performance: ARM64 Docker builds 2-3x faster than x86
  • Database Performance: Postgres ARM64 vs x86 shows 40% performance difference
  • Node.js Applications: 30% faster cold start times on native architecture

Resource Requirements and Scaling Limits

File Descriptor Consumption

  • Bind Mounts: 10-50 descriptors per mounted directory
  • Database Connections: 1-3 descriptors each
  • Network Connections: 2 descriptors per active connection
  • macOS Default: 256 per process (insufficient)
  • Recommended: 4096-8192 descriptors
  • Monitor Command: lsof -p $(pgrep OrbStack) | wc -l

Container Scaling Thresholds

  • 8-12 containers: Optimal resource sharing
  • 15-20 containers: Noticeable slowdowns from resource competition
  • 25+ containers: Single VM becomes bottleneck
  • Failure Patterns: Random restarts, OOM kills, network timeouts

Configuration That Works in Production

Corporate Network Compatibility

  • Problem: OrbStack inherits macOS network configuration exactly
  • VPN Issues: Corporate VPNs that route everything through proxies break networking
  • DNS Problems: Split DNS creates inconsistent domain resolution
  • Proxy Auto-Config: PAC files add 200ms to every HTTP request
  • Certificate Issues: Corporate HTTPS inspection breaks container requests

Network Performance Fixes

# Bypass proxy for containers
docker run --env HTTP_PROXY="" --env HTTPS_PROXY="" [image]

# Use explicit DNS
docker run --dns=1.1.1.1 --dns=8.8.8.8 [image]

# Test connectivity
docker exec -it [container] time curl -I https://google.com

Optimization for File-Heavy Workloads

# Exclude from Spotlight indexing
sudo mdutil -i off ~/OrbStack

# Use named volumes for package caches
docker run -v npm-cache:/root/.npm your-app

# Optimize build context
docker build --cpus="2" .

Critical Warnings and Breaking Points

Single VM Architecture Limitations

  • Resource Competition: All containers share same kernel resources
  • Cascade Failures: One bad container can affect all others
  • Memory Pressure: OOM killer can terminate multiple containers
  • I/O Contention: High-throughput containers saturate shared interface

Performance Monitoring Commands

# Real memory pressure
orb exec --machine=default -- free -h
orb exec --machine=default -- cat /proc/pressure/memory

# I/O contention
orb exec --machine=default -- iostat 1 5
orb exec --machine=default -- iotop -ao

Docker Context Issues

  • Problem: Context switching between OrbStack and Docker Desktop
  • Error: "Cannot connect to Docker daemon" despite OrbStack running
  • Fix: docker context use orbstack
  • Reset Alias: alias docker-reset='docker context use orbstack && docker system prune -f'

When OrbStack Becomes the Bottleneck

Migration Indicators

  • Startup Time: Full environment exceeds 2-3 minutes
  • Resource Exhaustion: Random container restarts or OOM kills
  • Network Issues: Timeouts between containers on localhost
  • File Operation Failures: Previously working operations now timeout

Alternative Considerations

  • Docker Desktop: Better resource isolation at scale (25+ containers)
  • Intel Macs: Docker Desktop may provide better battery life
  • Enterprise Networks: Docker Desktop handles corporate networking better
  • Development/Production Parity: Performance differences more pronounced with OrbStack

Diagnostic Commands Reference

# Check container architecture
docker inspect [container] | grep Architecture

# Monitor real resource usage
docker system df
orb info

# Debug network performance
docker exec -it [container] time nslookup google.com
docker exec -it [container] ip route

# Find memory usage in containers
docker exec -it [container] ps aux --sort=-%mem

# Check build context size
docker build --no-cache . 2>&1 | grep "Sending build context"

Recovery Procedures

OrbStack Crash Recovery

  1. Check surviving resources: docker images, docker volume ls
  2. Restart services: docker compose up -d
  3. Critical: Ephemeral container data is lost
  4. Prevention: Use named volumes for persistent data

High CPU Usage (x86 Emulation)

  1. Identify culprit: docker stats --no-stream
  2. Check architecture: docker inspect [container] | grep Architecture
  3. Kill problematic container: docker kill [container] && docker rm [container]
  4. Prevention: Use --platform=linux/arm64 flag

Network Connectivity Issues

  1. Test basic connectivity: docker exec -it [container] curl -I https://google.com
  2. Check DNS: docker exec -it [container] nslookup google.com
  3. Restart network stack: orb restart
  4. VPN Workaround: Restart OrbStack after VPN connection

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