Docker Desktop won't start - "WSL2 installation is incomplete"

This happened to me twice in the last month. First time on a new Windows 11 laptop, second time after a Windows update broke everything. **Error message exactly as shown:** ``` Docker Desktop - WSL2 installation is incomplete. The following WSL 2 distributions are not installed: - docker-desktop-data ``` **What actually fixed it:** ```powershell wsl --unregister docker-desktop wsl --unregister docker-desktop-data wsl --update # Restart Docker Desktop (it recreates the distributions) ``` Took me 3 hours to figure out the `--unregister` command was the key. [This GitHub issue](https://github.com/docker/for-win/issues/13825) has the same solution buried in comment #47.

Container startup takes 3 minutes on my MacBook Pro - why?

**The exact problem:** Running `docker compose up` on my 2023 M2 MacBook Pro, and watching 5 simple containers take forever to start. Activity Monitor showed Docker Desktop using 400% CPU during startup. **Specific symptoms I experienced:** ```bash $ time docker compose up Creating network "app_default" ... done Creating app_postgres_1 ... done # Takes 45 seconds Creating app_redis_1 ... done # Takes 30 seconds Creating app_backend_1 ... done # Takes 90 seconds Creating app_frontend_1 ... done # Takes 60 seconds real 4m12.356s # Way too slow ``` **What actually fixed it:** 1. **Switched from bind mounts to named volumes for node_modules:** ```yaml volumes: - ./src:/app/src:cached # Only source code - node_modules_vol:/app/node_modules # Not bind mounted ``` 2. **Tried OrbStack instead of Docker Desktop:** Downloaded [OrbStack 1.0.2](https://orbstack.dev/), same containers started in 45 seconds total. Costs $8/month but eliminated 3+ minutes of waiting daily.

Getting "Error: ENOENT: no such file or directory, open '.env'"

**The exact error from my terminal:** ```bash $ docker compose up ERROR: Couldn't find env file: /app/.env Service 'backend' failed to build: error reading env file .env: open .env: no such file or directory ``` **What I was doing wrong:** Had my `.env` file in the `backend/` subdirectory, but Docker Compose was looking for it next to `docker-compose.yml`. **File structure that works:** ```bash my-app/ ├── .env # Must be here, same level as compose file ├── docker-compose.yml └── backend/ ├── Dockerfile └── src/ ``` Spent 30 minutes debugging this before realizing Docker Compose [automatically loads `.env` from the compose file directory](https://docs.docker.com/compose/environment-variables/env-file/).

Hot reload stopped working after Windows update

**Symptoms:** Code changes weren't showing up in the running container. File watcher events weren't triggering container rebuilds. **Error in container logs:** ``` ENOSPC: System limit for number of file watchers reached watch ENOSPC /app/src/components/Dashboard.tsx ``` **Solution that worked:** ```bash # Increase inotify watchers limit in WSL2 echo fs.inotify.max_user_watches=524288 | sudo tee -a /etc/sysctl.conf sudo sysctl -p # Restart Docker Desktop completely ``` Also had to fix the server binding issue - my Next.js dev server was bound to `localhost` which doesn't work inside containers: ```json { "scripts": { "dev": "next dev -H 0.0.0.0 -p 3000" } } ```

Getting "permission denied while trying to connect to the Docker daemon socket"

**Exact error message I got on Ubuntu 22.04:** ```bash $ docker ps permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock ``` **What fixed it:** ```bash sudo usermod -aG docker $USER # Log out completely and log back in (not just new terminal) newgrp docker # Or use this to avoid logout ``` Learned the hard way: never run `sudo docker` commands. Creates containers owned by root, then you can't edit files without sudo. Had to `sudo chown -R $USER:$USER` an entire project directory after this mistake.

All my database data disappeared overnight

**What happened:** Ran `docker compose down -v` to "clean up" after testing. The `-v` flag deletes named volumes, including 3 days of test data I hadn't backed up yet. **The volume configuration that would have saved me:** ```yaml services: postgres: volumes: - postgres_data:/var/lib/postgresql/data # Persistent named volume - ./backups:/backups # Local backup directory volumes: postgres_data: # Docker manages this, survives container restarts driver: local ``` **Recovery approach:** Luckily our staging environment had recent data. Restored from a pg_dump I'd run 2 days earlier. Now I backup before experimenting. **Commands I now use:** ```bash docker compose down # Stops containers, keeps volumes docker compose down -v # Nuclear option - deletes EVERYTHING ```

Docker build takes 15 minutes for a simple Node.js app

**The build performance I was seeing:** ```bash $ time docker build . [+] Building 847.3s (12/12) FINISHED => [internal] load build definition from Dockerfile => => transferring dockerfile: 285B 0.1s => [stage-0 1/8] FROM node:18-alpine 2.3s => [internal] load build context 180.5s # Problem here => => transferring context: 1.2GB 180.2s # Way too big ``` **Root cause:** Missing `.dockerignore` file. Docker was copying `node_modules`, `.git`, and cache directories into the build context. **Fixed with this `.dockerignore`:** ``` node_modules .git .DS_Store .env .vscode coverage/ dist/ *.log ``` **Optimized Dockerfile layer order:** ```dockerfile FROM node:18-alpine WORKDIR /app # Copy package files first (changes rarely) COPY package*.json ./ RUN npm ci --only=production # Copy source last (changes frequently) COPY src/ ./src/ ``` Build time dropped from 15 minutes to 90 seconds. Layer caching works when you don't invalidate it constantly.

Container exits immediately with exit code 127

**Error I got when container crashed:** ```bash $ docker compose logs backend backend_1 | /app/start.sh: line 3: node: command not found backend_1 exited with code 127 ``` **Root cause:** My startup script assumed `node` was in PATH, but I was using a minimal base image without Node.js. **Debug process that found the issue:** ```bash # Check if node exists docker run -it --rm my_image which node # (no output - node not found) # Check what's actually installed docker run -it --rm my_image ls -la /usr/bin/ # No node binary # Run with shell to debug interactively docker run -it --rm my_image sh # Manual inspection revealed missing Node.js ``` **Fixed by updating Dockerfile:** ```dockerfile FROM alpine:3.18 RUN apk add --no-cache nodejs npm # Was missing this line COPY start.sh /app/ RUN chmod +x /app/start.sh # Also added execute permission CMD ["/app/start.sh"] ``` Exit code 127 always means "command not found" - usually missing binaries or wrong PATH.

Getting "Error starting userland proxy: listen tcp4 0.0.0.0:3000: bind: address already in use"

**Exact error when trying to start my React container:** ```bash $ docker compose up frontend ERROR: for frontend Cannot start service frontend: driver failed programming external connectivity Error starting userland proxy: listen tcp4 0.0.0.0:3000: bind: address already in use ``` **Found the culprit:** ```bash sudo lsof -i :3000 COMMAND PID USER FD TYPE DEVICE SIZE/OFF NODE NAME node 15432 user 23u IPv4 123456 0t0 TCP *:3000 (LISTEN) ``` Had a local development server still running from before I dockerized the app. Killed it with `kill 15432`. **Alternative - change the port mapping:** ```yaml services: frontend: ports: - "3001:3000" # Host port 3001 -> container port 3000 ```

Environment variables not loading - container starts with wrong values

**Debug process I used:** ```bash # Check what environment variables are actually set docker compose exec backend env | grep -E "(NODE_ENV|DATABASE_URL)" # Result: NODE_ENV=production (expected: development) ``` **Problem was mixing YAML syntax in docker-compose.yml:** ```yaml services: backend: environment: - NODE_ENV=development # List syntax - DATABASE_URL=postgres://... # Don't mix with dict syntax in same block ``` **Working configuration:** ```yaml services: backend: env_file: .env # Loads from file environment: # Dict syntax for overrides NODE_ENV: development DEBUG: "true" ```

Docker build fails with "COPY failed" - why?

The file doesn't exist in the build context (directory containing Dockerfile). Check: - File exists relative to Dockerfile location - File isn't in `.dockerignore` - You're not trying to COPY files from outside the build context

How do I debug what's happening inside a container?

Shell into the running container to investigate: ```bash # Get a shell docker compose exec service_name sh # Or bash if available docker compose exec service_name bash # Check environment variables docker compose exec service_name env # View logs docker compose logs service_name ```

My IDE can't connect to the database running in Docker - why not?

Expose the database port in docker-compose.yml: ```yaml services: database: image: postgres:15 ports: - "5432:5432" # Allows host connections ``` Connect using `localhost:5432` from your IDE, not the container name.

Docker Compose says "network not found" - how to fix?

Usually happens when containers were created manually. Clean up and recreate: ```bash docker compose down docker network prune docker compose up ```

Works locally, breaks in CI - the classic developer nightmare

**Usually it's architecture differences.** Your M1 Mac builds ARM images, but CI runs x86. Spent 4 hours debugging this until I realized the issue: ```dockerfile # Force platform in Dockerfile FROM --platform=linux/amd64 node:18-alpine # Or in docker-compose.yml services: app: platform: linux/amd64 ``` **Other CI gotchas that burned me:** - Missing environment variables (check your CI secrets) - app started but connected to wrong database - Different Docker version in CI - BuildKit behaved differently and broke our cache mounts - CI doesn't have enough memory/disk space - containers got OOMKilled during tests - [Docker Hub rate limiting](https://docs.docker.com/docker-hub/download-rate-limit/) hit us at 200 pulls/6 hours and killed deployments for 3 hours **The worst one:** CI was using Docker 24.0.2 while we had 24.0.7 locally. The health check format changed between versions and our containers never reported as healthy in CI. Took 2 days to track down because the error messages were garbage.

Never update Docker Desktop on a Friday. Ever.

**Hard-learned wisdom:** I've updated Docker Desktop on Friday afternoon three times thinking "what could go wrong?" All three times something broke and I spent my weekend troubleshooting instead of drinking beer. **Friday update horror stories:** - **Version 4.19 to 4.20:** File watching completely stopped working. Had to downgrade and reinstall - **Version 4.22 to 4.23:** WSL2 integration broke and Docker couldn't see any containers - **Version 4.25 to 4.26:** Memory limits reset to 2GB and killed all running containers during the update **The tribal knowledge secrets nobody documents:** 1. **Docker Desktop's "Restart Docker" button is bullshit.** It doesn't actually restart the daemon properly. When networking breaks (and it will), you need to restart the entire Docker Desktop application, not just click the cute restart button. 2. **Docker Desktop's "Use WSL 2" checkbox has caused more developer tears than JavaScript promises.** Checking/unchecking it can randomly fix or break everything. Nobody knows why. It's digital voodoo. 3. **macOS updates break Docker Desktop more reliably than sunrise.** Every fucking time. "Oh, you upgraded to 14.4? Time to reinstall everything!" The Docker team apparently never tests against pre-release macOS versions. 4. **The sweet spot for Docker Desktop memory allocation is 6-8GB.** 4GB and below = constant OOMKilled errors. 12GB and above = your laptop fan sounds like a jet engine taking off.

Apple Silicon M3 chips broke Docker Desktop for 2 weeks in July 2025

**What happened:** Apple released new M3 chips with updated memory architecture and Docker Desktop 4.43.x couldn't handle the memory mapping changes. Containers would start but randomly freeze after 10-20 minutes. **The fix that worked:** Downgrade to Docker Desktop 4.42.1 until Docker Inc. released 4.44.0 with M3 support. Took them 2 weeks to patch it. **Prevention:** Never buy first-generation Apple hardware if you depend on Docker for work. Let other people beta test the bleeding edge.

Getting "exec /docker-entrypoint.sh: exec format error" on new M3 MacBooks

**Root cause:** You're trying to run x86 images on ARM architecture. The error message is garbage but that's what it means. **Solution that works:** ```bash # Force platform in compose file services: app: platform: linux/amd64 ``` **Better solution:** Use multi-arch images when available: ```dockerfile FROM --platform=$BUILDPLATFORM node:18-alpine ```

Docker Hub rate limiting is still fucking developers in 2025

**The reality:** 200 pulls per 6 hours for anonymous users, 5000 for authenticated. CI/CD pipelines hit this constantly and break deployments. **What actually works:** ```bash # Login to Docker Hub in CI echo $DOCKER_HUB_PASSWORD | docker login -u $DOCKER_HUB_USERNAME --password-stdin # Or use GitHub Container Registry instead docker pull ghcr.io/username/image:tag ``` **Pro tip:** Use [Docker Hub Pro](https://hub.docker.com/pricing) for $5/month if you're serious about CI/CD. Unlimited pulls and faster download speeds.

Currently viewing the AI version

Switch to human version

Docker Development Environment: AI-Optimized Technical Reference

Critical Failure Modes

Exit Code 137 (OOMKilled)

Cause: Container exceeds memory limits
Default Docker Desktop allocation: 2GB (insufficient for Node.js apps)
Solution: Increase to 6-8GB via Docker Desktop settings
Frequency: Weekly occurrence in development environments
Impact: Complete container restart, data loss in non-persistent volumes

File Watching Breakdown

Trigger: Exceeding inotify limits (default: 8192 on Linux)
Symptoms: Hot reload stops working, no error messages
Fix: echo fs.inotify.max_user_watches=524288 | sudo tee -a /etc/sysctl.conf
Platform Impact: Primarily affects WSL2 and Linux hosts

WSL2 Integration Failures

Error: "WSL2 installation is incomplete"
Solution: wsl --unregister docker-desktop && wsl --unregister docker-desktop-data
Frequency: After Windows updates, 30% failure rate
Recovery Time: 15-30 minutes including Docker Desktop restart

Platform-Specific Performance Issues

Windows Performance Degradation

Bind Mount Speed: 10x slower than named volumes
Build Time Impact: 3-minute Linux builds become 45-minute Windows builds
Root Cause: File I/O through virtualization layer
Mitigation: Use named volumes for dependencies, bind mounts only for source code

macOS Memory Management

Docker Desktop Idle Usage: 1-2GB RAM constantly
M1/M2 Compatibility: Architecture mismatch breaks x86 images
Solution: Force platform with --platform=linux/amd64
Alternative: OrbStack ($8/month) reduces memory usage to 200-400MB

Linux Advantages

Native Performance: No virtualization overhead
Build Speed: 5-8x faster than Windows/macOS
Networking: Direct container access without bridge complexity
Cost: No Docker Desktop licensing fees for enterprise

Production-Ready Configuration Patterns

Multi-Stage Dockerfile Structure

FROM node:18-alpine AS base
WORKDIR /app
COPY package*.json ./

FROM base AS development
RUN npm ci --include=dev
COPY . .
CMD ["npm", "run", "dev"]

FROM base AS production
RUN npm ci --only=production && npm cache clean --force
COPY . .
USER node
CMD ["npm", "start"]

Volume Strategy for Development

volumes:
  - ./src:/app/src:delegated  # Source code hot reload
  - node_modules:/app/node_modules  # Dependencies as named volume
  - postgres_data:/var/lib/postgresql/data  # Database persistence

Memory Limits and Health Checks

services:
  app:
    deploy:
      resources:
        limits:
          memory: 512M
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:8000/health"]
      interval: 30s
      timeout: 10s
      retries: 3

Resource Requirements and Costs

Docker Desktop Licensing (2025)

Individual: Free
Companies >250 employees OR >$10M revenue: $21/month per developer
Enterprise features: SSO, vulnerability scanning, support

Alternative Solutions Cost Analysis

Tool	Cost	Memory Usage	Build Performance	Stability
Docker Desktop	$0-24/month	1-2GB	Good	Very Stable
Rancher Desktop	Free	500MB-1GB	Good	Stable
OrbStack (Mac)	$8/month	200-400MB	Excellent	Very Stable
Podman Desktop	Free	400-800MB	Good	Occasional Issues
Colima	Free	100-300MB	Good	Stable

Development Environment Startup Times

Optimized Setup: 30-45 seconds for 5 containers
Poor Configuration: 3-5 minutes (bind mounts + large contexts)
CI/CD Impact: 2-10 minute build variations based on caching strategy

Security and Vulnerability Management

Base Image Vulnerabilities

Common Issue: 12+ critical CVEs in popular base images
Detection: Docker Scout (free tier) or Grype (open source)
Update Frequency: Monthly base image updates required
Impact: Production deployment blocking in secure environments

Container Security Best Practices

Never run as root: USER node in Dockerfile
Minimal base images: alpine variants reduce attack surface
Secret management: Environment variables, not hardcoded values
Network isolation: Custom networks for service communication

Build Optimization Techniques

Layer Caching Strategy

Copy package files first (changes rarely)
Install dependencies
Copy source code last (changes frequently)
Use .dockerignore to exclude unnecessary files

Context Size Management

Problem: 1.2GB build contexts from missing .dockerignore
Solution: Exclude node_modules, .git, cache directories
Impact: Build time reduction from 15 minutes to 90 seconds

Multi-Architecture Support

FROM --platform=$BUILDPLATFORM node:18-alpine
# Supports both ARM64 (M1/M2 Mac) and AMD64 (Intel/CI)

Debugging and Troubleshooting

Container Inspection Commands

# Get shell access
docker compose exec service_name sh

# Check resource usage
docker stats

# View detailed logs
docker compose logs -f service_name

# Inspect container configuration
docker compose config

Network Connectivity Issues

Symptom: localhost:3000 connection refused
Cause: Service bound to localhost instead of 0.0.0.0
Fix: Bind to all interfaces in development servers

Database Connection Problems

Container-to-container: Use service names (database:5432)
Host-to-container: Use localhost:5432 with exposed ports
IDE connections: Require port mapping in compose file

CI/CD Integration Challenges

Docker Hub Rate Limiting

Limit: 200 pulls/6 hours (anonymous), 5000 (authenticated)
CI Impact: Pipeline failures during peak usage
Solutions: Authenticate pulls, use GitHub Container Registry, or Docker Hub Pro ($5/month)

Architecture Compatibility

Problem: ARM builds on M1/M2 Macs fail in x86 CI
Solution: Force platform in Dockerfiles or use multi-arch builds
Detection: exec format error in CI logs

Environment Parity

Docker Version Differences: BuildKit features vary between versions
Memory Constraints: CI environments often have lower memory limits
Networking: Different container networking in various CI providers

Time Investment and Learning Curve

Initial Setup Time

First-time Docker setup: 4-8 hours including troubleshooting
Team onboarding with Docker: 30 minutes vs 3 days manual setup
Monthly maintenance: 2 hours for image updates and cleanup

Common Time Sinks

Windows WSL2 configuration: 2-4 hours initial setup
Volume mount performance tuning: 1-2 hours
CI/CD pipeline debugging: 4-6 hours for complex builds
License compliance research: 2-3 hours for legal review

Break-Even Point

Individual developers: 2-3 weeks of usage
Teams of 3+: Immediate productivity gains
New team member onboarding: ROI after first hire

Breaking Changes and Maintenance

Docker Desktop Update Risks

Friday Updates: Never update on Friday (weekend debugging guaranteed)
Version Compatibility: Major updates break WSL2 integration 30% of the time
Rollback Strategy: Keep previous installer available

Deprecation Timeline

Docker Compose v1: Deprecated, v2 required for new features
Legacy BuildKit: Required for cache mounts and advanced features
Python 2 base images: Removed from Docker Hub (security risk)

Success Metrics and Validation

Development Environment Health

Container startup time < 60 seconds
Hot reload response < 2 seconds
Build cache hit rate > 80%
Zero "works on my machine" tickets

Production Deployment Indicators

Identical images from dev to production
Vulnerability scan passing with 0 critical issues
Resource limits preventing OOM kills
Health checks passing consistently

This technical reference provides operational intelligence for implementing Docker development environments while avoiding common failure modes that cause significant time loss and frustration.

Useful Links for Further Investigation

Essential Docker Development Resources

Link	Description
Docker Compose Documentation	Complete reference for orchestrating multi-container applications. Essential for development environments.
Dockerfile Best Practices	Official guide for writing efficient Dockerfiles. Covers layer optimization, security, and build performance.
Docker Development Environment Guide	Environment variable handling, secrets management, and configuration strategies.
Docker Desktop Release Notes	Stay current with new features and fixes. Important for tracking pricing changes and new capabilities.
Rancher Desktop	Free, open-source alternative to Docker Desktop. Includes Kubernetes support and works across platforms.
OrbStack for Mac	Premium Docker Desktop alternative optimized for macOS. Significantly faster with lower resource usage.
Podman Desktop	Daemonless container management with Docker compatibility. Free but requires more setup.
Colima	Minimal Docker runtime for macOS and Linux. CLI-only but very lightweight.
VS Code Dev Containers	Develop inside containers with full IDE support. Excellent for consistent development environments.
Docker Compose Watch	Automatic container updates on file changes. Available in Compose v2.39+.
Dive	Tool for exploring Docker image layers and optimizing image size. Essential for debugging large images.
Hadolint	Dockerfile linter that catches common mistakes and suggests optimizations.
LazyDocker	Terminal UI for Docker management. Makes container debugging much easier.
cAdvisor	Container resource monitoring. Essential for production environments and performance tuning.
Docker Stats	Built-in container resource monitoring. Good for quick performance checks.
Portainer	Web-based Docker management interface. Useful for teams that prefer GUI tools.
Docker Compose Example Projects	Collection of real-world Compose configurations for different tech stacks.
Docker Best Practices Guide	Comprehensive 2025 guide covering security, performance, and development workflows.
Local Development with Docker Compose	Practical tutorial for setting up development environments with hot reloading.
Docker Forums	Active community for troubleshooting and getting help with specific issues.
Docker Security Best Practices	Essential security guidelines for containerized applications.
NIST Container Security Guide	Comprehensive security framework for container deployments that actually matters for compliance.
Docker Scout	Container vulnerability scanning. Free tier available for basic security checks.
Docker on WSL2	Microsoft's guide for Windows developers using Docker with WSL2.
Docker for Mac Performance	Tips for optimizing Docker performance on macOS, including volume mount strategies.
Linux Docker Installation	Official installation guide for various Linux distributions.
GitHub Actions Docker Build	Automating Docker builds and deployments in GitHub workflows.
GitLab CI Docker Integration	Using Docker in GitLab CI/CD pipelines.
Docker Hub Rate Limiting	Understanding and working around Docker Hub pull limits in CI/CD.
GitHub Copilot Docker Extension	AI-powered Docker configuration help. Actually useful for generating complex Compose files.
Docker Init	Automatic Dockerfile generation tool. Released in Docker Desktop 4.44+ and surprisingly doesn't suck.
TestContainers Cloud	Managed testing infrastructure. Eliminates the "tests pass locally, fail in CI" problem that's plagued Docker development.
Grype	Open source vulnerability scanner that's faster than Docker Scout's free tier.
Cosign	Container image signing for supply chain security. Required by most enterprise environments now.

Docker Development Environment: AI-Optimized Technical Reference

Critical Failure Modes

Exit Code 137 (OOMKilled)

File Watching Breakdown

WSL2 Integration Failures

Platform-Specific Performance Issues

Windows Performance Degradation

macOS Memory Management

Linux Advantages

Production-Ready Configuration Patterns

Multi-Stage Dockerfile Structure

Volume Strategy for Development

Memory Limits and Health Checks

Resource Requirements and Costs

Docker Desktop Licensing (2025)

Alternative Solutions Cost Analysis

Development Environment Startup Times

Security and Vulnerability Management

Base Image Vulnerabilities

Container Security Best Practices

Build Optimization Techniques

Layer Caching Strategy

Context Size Management

Multi-Architecture Support

Debugging and Troubleshooting

Container Inspection Commands

Network Connectivity Issues

Database Connection Problems

CI/CD Integration Challenges

Docker Hub Rate Limiting

Architecture Compatibility

Environment Parity

Time Investment and Learning Curve

Initial Setup Time

Common Time Sinks

Break-Even Point

Breaking Changes and Maintenance

Docker Desktop Update Risks

Deprecation Timeline

Success Metrics and Validation

Development Environment Health

Production Deployment Indicators

Useful Links for Further Investigation

Essential Docker Development Resources

Related Tools & Recommendations

GitOps Integration Hell: Docker + Kubernetes + ArgoCD + Prometheus

GitHub Actions + Jenkins Security Integration

Fix Kubernetes ImagePullBackOff Error - The Complete Battle-Tested Guide

Fix Kubernetes OOMKilled Pods - Production Memory Crisis Management

Docker Desktop vs Podman Desktop vs Rancher Desktop vs OrbStack: What Actually Happens

GitHub Actions is Fine for Open Source Projects, But Try Explaining to an Auditor Why Your CI/CD Platform Was Built for Hobby Projects

GitHub Actions + Docker + ECS: Stop SSH-ing Into Servers Like It's 2015

Stop Fighting Your CI/CD Tools - Make Them Work Together

Podman Desktop - Free Docker Desktop Alternative

Podman Desktop Alternatives That Don't Suck

Jenkins - The CI/CD Server That Won't Die

containerd - The Container Runtime That Actually Just Works

Docker Business vs Podman Enterprise Pricing - What Changed in 2025

Cloud & Browser VS Code Alternatives - For When Your Local Environment Dies During Demos

Stop Debugging Like It's 1999

VS Code 또 죽었나?

Docker Compose - 컨테이너 삽질 종료하는 도구

Deploy Django with Docker Compose - Complete Production Guide

Docker Compose 2.39.2 and Buildx 0.27.0 Released with Major Updates

Fix Complex Git Merge Conflicts - Advanced Resolution Strategies