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Docker-Guidelines für das Meldestelle-Projekt

Version: 1.1 Datum: 16. August 2025 Autor: Meldestelle Development Team Letzte Aktualisierung: Erweitert und optimiert basierend auf aktueller Implementierung

🚀 Überblick und Philosophie

Das Meldestelle-Projekt implementiert eine moderne, sicherheitsorientierte Containerisierungsstrategie basierend auf bewährten DevOps-Praktiken und Production-Ready-Standards. Unsere Docker-Architektur ist darauf ausgelegt:

  • Sicherheit first: Alle Container laufen als Non-Root-User
  • Optimale Performance: Multi-stage Builds mit Layer-Caching
  • Observability: Umfassendes Monitoring und Health-Checks
  • Skalierbarkeit: Microservices-ready mit Service Discovery
  • Wartbarkeit: Standardisierte Templates und klare Konventionen

📋 Inhaltsverzeichnis

  1. Architektur-Überblick
  2. Dockerfile-Standards
  3. Docker-Compose Organisation
  4. Development-Workflow
  5. Production-Deployment
  6. Monitoring und Observability
  7. Troubleshooting
  8. Best Practices

🏗️ Architektur-Überblick

Container-Kategorien

graph TB
    subgraph "Infrastructure Services"
        PG[PostgreSQL]
        RD[Redis]
        KC[Keycloak]
        KF[Kafka+Zookeeper]
        CS[Consul]
    end

    subgraph "Application Services"
        GW[API Gateway]
        AS[Auth Server]
        MS[Monitoring Server]
        PS[Ping Service]
    end

    subgraph "Client Applications"
        WA[Web App]
        DA[Desktop App - Native]
    end

    subgraph "Monitoring Stack"
        PR[Prometheus]
        GR[Grafana]
        ZK[Zipkin]
        NX[Nginx - Prod]
    end

    Infrastructure --> Application
    Application --> Client
    Monitoring --> Infrastructure
    Monitoring --> Application

Service-Ports Matrix

Service Development Production Health Check Debug Port
PostgreSQL 5432 Internal pg_isready -U meldestelle -d meldestelle -
Redis 6379 Internal redis-cli ping -
Keycloak 8180 8443 (HTTPS) /health/ready -
Kafka 9092 Internal kafka-topics --bootstrap-server localhost:9092 --list -
Zookeeper 2181 Internal nc -z localhost 2181 -
Zipkin 9411 Internal /health -
Consul 8500 Internal /v1/status/leader -
Auth Server 8081 Internal /actuator/health/readiness 5005
Ping Service 8082 Internal /actuator/health/readiness 5005
Monitoring Server 8083 Internal /actuator/health/readiness 5005
Prometheus 9090 Internal /-/healthy -
Grafana 3000 3443 (HTTPS) /api/health -
Nginx - 80/443 /health -

🐳 Dockerfile-Standards

Template-Struktur

Alle Dockerfiles folgen einem standardisierten Template-System:

dockerfiles/
├── templates/
│   ├── spring-boot-service.Dockerfile     # Backend-Services
│   ├── kotlin-multiplatform-web.Dockerfile # Web-Client
│   └── monitoring-service.Dockerfile       # Monitoring-Services
├── infrastructure/
│   ├── gateway/Dockerfile                  # ✅ API Gateway
│   ├── auth-server/Dockerfile             # Auth Server
│   └── monitoring-server/Dockerfile       # Monitoring Server
└── services/
    ├── members-service/Dockerfile         # Domain Services (wenn reaktiviert)
    ├── horses-service/Dockerfile
    ├── events-service/Dockerfile
    └── masterdata-service/Dockerfile

Spring Boot Service Template

Datei: dockerfiles/templates/spring-boot-service.Dockerfile

# syntax=docker/dockerfile:1.8

# ===================================================================
# Multi-stage Dockerfile Template for Spring Boot Services
# Features: Security hardening, monitoring support, optimal caching, BuildKit cache mounts
# ===================================================================

# Build arguments for flexibility
ARG GRADLE_VERSION=8.14
ARG JAVA_VERSION=21
ARG SPRING_PROFILES_ACTIVE=default
ARG SERVICE_PATH=.
ARG SERVICE_NAME=spring-boot-service
ARG SERVICE_PORT=8080

# ===================================================================
# Build Stage
# ===================================================================
FROM gradle:${GRADLE_VERSION}-jdk${JAVA_VERSION}-alpine AS builder

# Re-declare build arguments for this stage
ARG SERVICE_PATH=.
ARG SERVICE_NAME=spring-boot-service
ARG SERVICE_PORT=8080
ARG SPRING_PROFILES_ACTIVE=default

LABEL stage=builder
LABEL service="${SERVICE_NAME}"
LABEL maintainer="Meldestelle Development Team"

WORKDIR /workspace

# Gradle optimizations for containerized builds
ENV GRADLE_OPTS="-Dorg.gradle.caching=true \
                 -Dorg.gradle.daemon=false \
                 -Dorg.gradle.parallel=true \
                 -Dorg.gradle.configureondemand=true \
                 -Xmx2g"

# Copy gradle wrapper and configuration files first for optimal caching
COPY gradlew gradlew.bat gradle.properties settings.gradle.kts ./
COPY gradle/ gradle/

# Copy platform dependencies (changes less frequently)
COPY platform/ platform/

# Copy root build configuration
COPY build.gradle.kts ./

# Copy service-specific files last (changes most frequently)
COPY ${SERVICE_PATH}/build.gradle.kts ${SERVICE_PATH}/
COPY ${SERVICE_PATH}/src/ ${SERVICE_PATH}/src/

# Download and cache dependencies with BuildKit cache mount
RUN --mount=type=cache,target=/home/gradle/.gradle/caches \
    --mount=type=cache,target=/home/gradle/.gradle/wrapper \
    ./gradlew :${SERVICE_NAME}:dependencies --no-daemon --info

# Build the application with optimizations and build cache
RUN --mount=type=cache,target=/home/gradle/.gradle/caches \
    --mount=type=cache,target=/home/gradle/.gradle/wrapper \
    ./gradlew :${SERVICE_NAME}:bootJar --no-daemon --info \
    -Pspring.profiles.active=${SPRING_PROFILES_ACTIVE}

# ===================================================================
# Runtime Stage
# ===================================================================
FROM eclipse-temurin:${JAVA_VERSION}-jre-alpine AS runtime

# Build arguments for runtime stage
ARG BUILD_DATE
ARG SPRING_PROFILES_ACTIVE=default
ARG SERVICE_NAME=spring-boot-service
ARG SERVICE_PORT=8080

# Enhanced metadata
LABEL service="${SERVICE_NAME}" \
      version="1.0.0" \
      description="Containerized Spring Boot microservice" \
      maintainer="Meldestelle Development Team" \
      java.version="${JAVA_VERSION}" \
      spring.profiles.active="${SPRING_PROFILES_ACTIVE}" \
      build.date="${BUILD_DATE}"

# Build arguments for user configuration
ARG APP_USER=appuser
ARG APP_GROUP=appgroup
ARG APP_UID=1001
ARG APP_GID=1001

WORKDIR /app

# Update Alpine packages, install tools, create user and directories in one layer
RUN apk update && \
    apk upgrade && \
    apk add --no-cache \
        curl \
        tzdata && \
    rm -rf /var/cache/apk/* && \
    addgroup -g ${APP_GID} -S ${APP_GROUP} && \
    adduser -u ${APP_UID} -S ${APP_USER} -G ${APP_GROUP} -h /app -s /bin/sh && \
    mkdir -p /app/logs /app/tmp && \
    chown -R ${APP_USER}:${APP_GROUP} /app

# Copy the built JAR from builder stage with proper ownership
COPY --from=builder --chown=${APP_USER}:${APP_GROUP} \
     /workspace/${SERVICE_PATH}/build/libs/*.jar app.jar

# Switch to non-root user
USER ${APP_USER}

# Expose application port and debug port
EXPOSE ${SERVICE_PORT} 5005

# Enhanced health check with better configuration
HEALTHCHECK --interval=15s --timeout=3s --start-period=40s --retries=3 \
    CMD curl -fsS --max-time 2 http://localhost:${SERVICE_PORT}/actuator/health/readiness || exit 1

# Optimized JVM settings for Spring Boot 3.x with Java 21 and monitoring support
ENV JAVA_OPTS="-XX:MaxRAMPercentage=80.0 \
    -XX:+UseG1GC \
    -XX:+UseStringDeduplication \
    -XX:+UseContainerSupport \
    -Djava.security.egd=file:/dev/./urandom \
    -Djava.awt.headless=true \
    -Dfile.encoding=UTF-8 \
    -Duser.timezone=Europe/Vienna \
    -Dmanagement.endpoints.web.exposure.include=health,info,metrics,prometheus \
    -Dmanagement.endpoint.health.show-details=always \
    -Dmanagement.metrics.export.prometheus.enabled=true"

# Spring Boot configuration
ENV SPRING_OUTPUT_ANSI_ENABLED=ALWAYS \
    SPRING_PROFILES_ACTIVE=${SPRING_PROFILES_ACTIVE} \
    SERVER_PORT=${SERVICE_PORT} \
    LOGGING_LEVEL_ROOT=INFO

# Enhanced entrypoint with conditional debug support and better logging
ENTRYPOINT ["sh", "-c", "\
    echo 'Starting ${SERVICE_NAME} with Java ${JAVA_VERSION}...'; \
    echo 'Active Spring profiles: ${SPRING_PROFILES_ACTIVE}'; \
    if [ \"${DEBUG:-false}\" = \"true\" ]; then \
        echo 'DEBUG mode enabled - remote debugging available on port 5005'; \
        exec java ${JAVA_OPTS} -agentlib:jdwp=transport=dt_socket,server=y,suspend=n,address=*:5005 -jar app.jar; \
    else \
        echo 'Starting application in production mode'; \
        exec java ${JAVA_OPTS} -jar app.jar; \
    fi"]

Web-Client Template

Datei: dockerfiles/templates/kotlin-multiplatform-web.Dockerfile

# ===================================================================
# Multi-stage Dockerfile for Kotlin Multiplatform Web Client
# ===================================================================

# ===================================================================
# Build Stage - Kotlin/JS Compilation
# ===================================================================
FROM gradle:8.14-jdk21-alpine AS kotlin-builder

WORKDIR /workspace

# Copy build configuration
COPY gradlew gradlew.bat gradle.properties settings.gradle.kts ./
COPY gradle/ gradle/
COPY build.gradle.kts ./

# Copy client modules
COPY client/ client/
COPY platform/ platform/

# Build web application
RUN ./gradlew :client:web-app:jsBrowserProductionWebpack --no-daemon

# ===================================================================
# Production Stage - Nginx serving
# ===================================================================
FROM nginx:alpine AS runtime

# Security and system setup
RUN apk update && \
    apk add --no-cache curl && \
    rm -rf /var/cache/apk/*

# Copy built web application
COPY --from=kotlin-builder /workspace/client/web-app/build/dist/ /usr/share/nginx/html/

# Copy nginx configuration
COPY client/web-app/nginx.conf /etc/nginx/nginx.conf

# Health check
HEALTHCHECK --interval=30s --timeout=3s --start-period=10s --retries=3 \
    CMD curl -f http://localhost:80/ || exit 1

EXPOSE 80

# Start nginx
CMD ["nginx", "-g", "daemon off;"]

🚀 Moderne Docker-Features und Optimierungen

BuildKit Cache Mounts

Unsere Templates nutzen moderne BuildKit Cache Mounts für optimale Build-Performance:

# BuildKit Cache Mount für Gradle Dependencies
RUN --mount=type=cache,target=/home/gradle/.gradle/caches \
    --mount=type=cache,target=/home/gradle/.gradle/wrapper \
    ./gradlew :${SERVICE_NAME}:dependencies --no-daemon --info

Vorteile:

  • Erheblich schnellere Builds: Dependencies werden zwischen Builds gecacht
  • Geringerer Netzwerk-Traffic: Erneute Downloads werden vermieden
  • Konsistente Build-Zeiten: Vorhersagbare Performance auch bei häufigen Builds
  • CI/CD Optimierung: Drastische Reduktion der Pipeline-Laufzeiten

Docker Syntax und Versioning

# Verwendung der neuesten Dockerfile-Syntax für erweiterte Features
# syntax=docker/dockerfile:1.8

Moderne Features:

  • Cache Mounts: Persistente Build-Caches zwischen Container-Builds
  • Secret Mounts: Sichere Übertragung von Build-Secrets ohne Layer-Persistierung
  • SSH Mounts: Sichere Git-Repository-Zugriffe während des Builds
  • Multi-Platform Builds: Unterstützung für ARM64 und AMD64 Architekturen

Container Testing und Validation

Automatisierte Dockerfile-Tests mit test-dockerfile.sh:

# Vollständige Template-Validierung
./test-dockerfile.sh

# Tests umfassen:
# 1. Dockerfile-Syntax-Validierung
# 2. ARG-Deklarationen-Prüfung
# 3. Build-Tests mit Default-Argumenten
# 4. Build-Tests mit Custom-Argumenten
# 5. Container-Startup-Verifikation
# 6. Service-Health-Checks

Test-Kategorien:

  • Syntax-Tests: Docker-Parser-Validierung ohne vollständigen Build
  • Build-Tests: Vollständige Container-Builds mit verschiedenen Parametern
  • Runtime-Tests: Container-Startup und Service-Health-Prüfungen
  • Cleanup-Tests: Automatische Bereinigung von Test-Artefakten

🎼 Docker-Compose Organisation

Multi-Environment Strategie

Unsere Compose-Dateien sind modular organisiert für verschiedene Einsatzszenarien:

├── docker-compose.yml              # ✅ Development (Infrastructure)
├── docker-compose.prod.yml         # ✅ Production (gehärtet, SSL/TLS)
├── docker-compose.services.yml     # 🆕 Application Services
├── docker-compose.clients.yml      # 🆕 Client Applications
└── docker-compose.override.yml     # 🆕 Local Development Overrides

Verwendungsszenarien

🏠 Lokale Entwicklung - Vollständiges System

# Alle Services einschließlich Clients
docker-compose \
  -f docker-compose.yml \
  -f docker-compose.services.yml \
  -f docker-compose.clients.yml \
  up -d

# Nur Infrastructure für Backend-Entwicklung
docker-compose -f docker-compose.yml up -d postgres redis kafka consul zipkin

# Mit Debug-Unterstützung für Service-Entwicklung
DEBUG=true SPRING_PROFILES_ACTIVE=docker \
docker-compose -f docker-compose.yml -f docker-compose.services.yml up -d

# Mit Live-Reload für Frontend-Entwicklung
docker-compose -f docker-compose.yml -f docker-compose.override.yml up -d

🔧 Erweiterte Umgebungskonfiguration

Beispiel für Auth-Server Konfiguration:

# Erweiterte Environment-Variablen aus docker-compose.services.yml
auth-server:
  environment:
    # Spring Boot Configuration
    - SPRING_PROFILES_ACTIVE=docker
    - SERVER_PORT=8081
    - DEBUG=false

    # Service Discovery
    - SPRING_CLOUD_CONSUL_HOST=consul
    - SPRING_CLOUD_CONSUL_PORT=8500

    # Database Configuration mit Connection Pooling
    - SPRING_DATASOURCE_URL=jdbc:postgresql://postgres:5432/meldestelle
    - SPRING_DATASOURCE_HIKARI_MAXIMUM_POOL_SIZE=10
    - SPRING_DATASOURCE_HIKARI_MINIMUM_IDLE=5

    # Redis Configuration mit Timeout-Einstellungen
    - SPRING_REDIS_HOST=redis
    - SPRING_REDIS_TIMEOUT=2000ms
    - SPRING_REDIS_LETTUCE_POOL_MAX_ACTIVE=8

    # Security & JWT Configuration
    - JWT_SECRET=meldestelle-auth-secret-key-change-in-production
    - JWT_EXPIRATION=86400
    - JWT_REFRESH_EXPIRATION=604800

    # Monitoring & Observability
    - MANAGEMENT_ENDPOINTS_WEB_EXPOSURE_INCLUDE=health,info,metrics,prometheus,configprops
    - MANAGEMENT_ENDPOINT_HEALTH_SHOW_DETAILS=always
    - MANAGEMENT_TRACING_SAMPLING_PROBABILITY=0.1
    - MANAGEMENT_ZIPKIN_TRACING_ENDPOINT=http://zipkin:9411/api/v2/spans

    # Performance Tuning
    - JAVA_OPTS=-XX:MaxRAMPercentage=75.0 -XX:+UseG1GC
    - LOGGING_LEVEL_AT_MOCODE=DEBUG

  # Resource Constraints
  deploy:
    resources:
      limits:
        memory: 512M
        cpus: '1.0'
      reservations:
        memory: 256M
        cpus: '0.5'

🚀 Production Deployment

# Production - Optimiert und sicher
docker-compose \
  -f docker-compose.prod.yml \
  -f docker-compose.services.yml \
  up -d

# Mit spezifischen Environment-Variablen
export POSTGRES_PASSWORD=$(openssl rand -base64 32)
export REDIS_PASSWORD=$(openssl rand -base64 32)
docker-compose -f docker-compose.prod.yml up -d

🧪 Testing Environment

# Nur notwendige Services für Tests
docker-compose -f docker-compose.yml up -d postgres redis
./gradlew test

# End-to-End Tests
docker-compose -f docker-compose.yml -f docker-compose.services.yml up -d
./gradlew :client:web-app:jsTest

Service-Abhängigkeiten

# Typische Service-Abhängigkeiten in unserer Architektur
depends_on:
  postgres:
    condition: service_healthy
  consul:
    condition: service_healthy
  redis:
    condition: service_healthy

🛠️ Development-Workflow

Schnellstart-Befehle

# 🚀 Komplettes Development-Setup
make dev-up           # Startet alle Development-Services
make dev-down         # Stoppt alle Services
make dev-logs         # Zeigt Logs aller Services
make dev-restart      # Neustart aller Services

# 🔧 Service-spezifische Befehle
make service-build SERVICE=ping-service    # Service neu bauen
make service-logs SERVICE=ping-service     # Service-Logs anzeigen
make service-restart SERVICE=ping-service  # Service neustarten

Makefile-Beispiel:

# Development commands
.PHONY: dev-up dev-down dev-logs dev-restart

dev-up:
	docker-compose -f docker-compose.yml -f docker-compose.services.yml up -d
	@echo "🚀 Development environment started"
	@echo "📊 Grafana: http://localhost:3000 (admin/admin)"
	@echo "🔍 Prometheus: http://localhost:9090"
	@echo "🚪 API Gateway: http://localhost:8080"

dev-down:
	docker-compose -f docker-compose.yml -f docker-compose.services.yml down

dev-logs:
	docker-compose -f docker-compose.yml -f docker-compose.services.yml logs -f

dev-restart:
	$(MAKE) dev-down
	$(MAKE) dev-up

# Service-specific commands
service-build:
	@test -n "$(SERVICE)" || (echo "❌ SERVICE parameter required"; exit 1)
	docker-compose -f docker-compose.yml -f docker-compose.services.yml build $(SERVICE)

service-logs:
	@test -n "$(SERVICE)" || (echo "❌ SERVICE parameter required"; exit 1)
	docker-compose logs -f $(SERVICE)

service-restart:
	@test -n "$(SERVICE)" || (echo "❌ SERVICE parameter required"; exit 1)
	docker-compose -f docker-compose.yml -f docker-compose.services.yml restart $(SERVICE)

Hot-Reload Development

docker-compose.override.yml für optimierte Entwicklung:

# Development overrides für Hot-Reload
version: '3.8'

services:
  web-client:
    volumes:
      - ./client/web-app/src:/app/src:ro
      - ./client/common-ui/src:/app/common-ui/src:ro
    environment:
      - NODE_ENV=development
    command: npm run dev

  ping-service:
    environment:
      - DEBUG=true
      - SPRING_DEVTOOLS_RESTART_ENABLED=true
    ports:
      - "5005:5005"  # Debug-Port
    volumes:
      - ./temp/ping-service/src:/workspace/src:ro

Debugging von Services

# Service im Debug-Modus starten
docker-compose -f docker-compose.yml up -d ping-service
docker-compose exec ping-service sh

# Logs in Echtzeit verfolgen
docker-compose logs -f ping-service api-gateway

# Health-Check Status prüfen
curl -s http://localhost:8082/actuator/health | jq
curl -s http://localhost:8080/actuator/health | jq

🚀 Production-Deployment

Security Hardening

Unsere Production-Konfiguration implementiert umfassende Sicherheitsmaßnahmen:

🔒 SSL/TLS Everywhere

# TLS-Zertifikate vorbereiten
mkdir -p config/ssl/{postgres,redis,keycloak,grafana,prometheus,nginx}

# Let's Encrypt Zertifikate generieren
certbot certonly --dns-route53 -d api.meldestelle.at
certbot certonly --dns-route53 -d auth.meldestelle.at
certbot certonly --dns-route53 -d monitor.meldestelle.at

🛡️ Environment Variables

Erforderliche Production-Variablen:

# Datenschutz und Sicherheit
export POSTGRES_USER=meldestelle_prod
export POSTGRES_PASSWORD=$(openssl rand -base64 32)
export POSTGRES_DB=meldestelle_prod
export REDIS_PASSWORD=$(openssl rand -base64 32)

# Keycloak Admin
export KEYCLOAK_ADMIN=admin
export KEYCLOAK_ADMIN_PASSWORD=$(openssl rand -base64 32)
export KC_DB_PASSWORD=${POSTGRES_PASSWORD}
export KC_HOSTNAME=auth.meldestelle.at

# Monitoring
export GF_SECURITY_ADMIN_USER=admin
export GF_SECURITY_ADMIN_PASSWORD=$(openssl rand -base64 32)
export GRAFANA_HOSTNAME=monitor.meldestelle.at
export PROMETHEUS_HOSTNAME=metrics.meldestelle.at

# Kafka Security
export KAFKA_BROKER_ID=1
export KAFKA_ZOOKEEPER_CONNECT=zookeeper:2181

🌐 Reverse Proxy Configuration

nginx.prod.conf Beispiel:

upstream api_backend {
    server api-gateway:8080;
    keepalive 32;
}

upstream auth_backend {
    server keycloak:8443;
    keepalive 32;
}

upstream monitoring_backend {
    server grafana:3443;
    keepalive 32;
}

server {
    listen 443 ssl http2;
    server_name api.meldestelle.at;

    ssl_certificate /etc/ssl/nginx/api.meldestelle.at.crt;
    ssl_certificate_key /etc/ssl/nginx/api.meldestelle.at.key;

    # Security headers
    add_header Strict-Transport-Security "max-age=31536000; includeSubDomains" always;
    add_header X-Frame-Options DENY always;
    add_header X-Content-Type-Options nosniff always;
    add_header Referrer-Policy strict-origin-when-cross-origin always;

    location / {
        proxy_pass http://api_backend;
        proxy_set_header Host $host;
        proxy_set_header X-Real-IP $remote_addr;
        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
        proxy_set_header X-Forwarded-Proto $scheme;
    }
}

Resource Limits

Alle Production-Services haben definierte Resource-Limits:

# Beispiel für Resource-Management
services:
  postgres:
    deploy:
      resources:
        limits:
          memory: 1G
          cpus: '0.5'
        reservations:
          memory: 512M
          cpus: '0.25'

  api-gateway:
    deploy:
      resources:
        limits:
          memory: 512M
          cpus: '0.5'
        reservations:
          memory: 256M
          cpus: '0.25'

📊 Monitoring und Observability

Prometheus Metrics

Alle Services exposieren standardisierte Metrics:

# Service-Labels für Prometheus Autodiscovery
labels:
  - "prometheus.scrape=true"
  - "prometheus.port=8080"
  - "prometheus.path=/actuator/prometheus"
  - "prometheus.service=${SERVICE_NAME}"

Grafana Dashboards

Vorgefertigte Dashboards:

  • Infrastructure Overview: CPU, Memory, Disk, Network
  • Spring Boot Services: JVM Metrics, HTTP Requests, Circuit Breaker
  • Database Performance: PostgreSQL Connections, Query Performance
  • Message Queue: Kafka Consumer Lag, Throughput
  • Business Metrics: Application-spezifische KPIs

Health Check Matrix

Service Endpoint Erwartung Timeout
API Gateway /actuator/health {"status":"UP"} 15s
Ping Service /actuator/health/readiness HTTP 200 3s
PostgreSQL pg_isready Connection OK 5s
Redis redis-cli ping PONG 5s
Keycloak /health/ready HTTP 200 5s

Log Aggregation

# Centralized logging mit ELK Stack (optional)
docker-compose -f docker-compose.yml -f docker-compose.logging.yml up -d

# Log-Parsing für strukturierte Logs
docker-compose logs --follow --tail=100 api-gateway | jq -r '.message'

🔧 Troubleshooting

Häufige Probleme und Lösungen

🚫 Port-Konflikte

# Überprüfe, welche Ports verwendet werden
netstat -tulpn | grep :8080
lsof -i :8080

# Stoppe konfligierende Services
docker-compose down
sudo systemctl stop apache2  # Falls Apache läuft

🐌 Langsame Startup-Zeiten

# Überprüfe Container-Ressourcen
docker stats

# Health-Check Logs analysieren
docker-compose logs ping-service | grep health

# Java Startup optimieren
export JAVA_OPTS="$JAVA_OPTS -XX:TieredStopAtLevel=1 -noverify"

💾 Disk-Space Probleme

# Docker-Cleanup
docker system prune -a --volumes
docker volume prune

# Log-Rotation für Container
docker-compose logs --tail=1000 > /dev/null  # Truncate logs

🌐 Service Discovery Issues

# Consul Status prüfen
curl -s http://localhost:8500/v1/health/state/any | jq

# Service Registration überprüfen
curl -s http://localhost:8500/v1/catalog/services | jq

# DNS-Resolution testen
docker-compose exec api-gateway nslookup ping-service

Debug-Kommandos

# Container introspection
docker-compose exec SERVICE_NAME sh
docker-compose exec postgres psql -U meldestelle -d meldestelle

# Live-Monitoring
docker-compose top
watch -n 1 'docker-compose ps'

# Memory und CPU-Usage
docker stats $(docker-compose ps -q)

# Detailed service logs
docker-compose logs -f --tail=50 SERVICE_NAME

✅ Best Practices

🔐 Security Best Practices

  1. Non-Root Users: Alle Container laufen mit dedizierten Non-Root-Usern
  2. Minimal Base Images: Alpine Linux für kleinste Angriffsfläche
  3. Secrets Management: Externe Secret-Stores für Production
  4. Network Isolation: Dedizierte Docker-Networks
  5. Regular Updates: Automatische Security-Updates für Base Images

⚡ Performance Best Practices

  1. Multi-Stage Builds: Minimale Runtime-Images
  2. Layer Caching: Optimale COPY-Reihenfolge in Dockerfiles
  3. Resource Limits: Definierte Memory und CPU-Limits
  4. Health Checks: Proaktive Container-Health-Überwachung
  5. JVM Tuning: Container-aware JVM-Settings

🧹 Wartung Best Practices

  1. Version Pinning: Explizite Image-Versionen in Production
  2. Backup Strategies: Automatische Volume-Backups
  3. Log Rotation: Begrenzte Log-Datei-Größen
  4. Documentation: Aktuelle README-Dateien pro Service
  5. Testing: Automatisierte Container-Tests

📦 Build Best Practices

# ✅ Gute Praktiken
FROM eclipse-temurin:21-jre-alpine AS runtime
RUN apk update && apk upgrade && rm -rf /var/cache/apk/*
USER 1001:1001
HEALTHCHECK --interval=30s CMD curl -f http://localhost:8080/health || exit 1

# ❌ Zu vermeidende Praktiken
FROM ubuntu:latest
RUN apt-get update
USER root

Probleme: Zu große Base-Image, keine Versionierung, fehlende Cleanup, Sicherheitsrisiko durch Root-User, keine Health Checks

📚 Weiterführende Ressourcen

Interne Dokumentation

  • README.md - Projekt-Überblick
  • README-ENV.md - Environment-Setup
  • README-PRODUCTION.md - Production-Deployment
  • infrastructure/*/README.md - Service-spezifische Dokumentation

Externe Referenzen

Tools und Utilities

# Nützliche Entwicklungstools
brew install docker-compose  # macOS
apt-get install docker-compose-plugin  # Ubuntu
pip install docker-compose  # Python

# Container-Debugging
brew install dive  # Docker-Image-Layer-Analyse
brew install ctop  # Container-Monitoring-Tool

📝 Changelog

Version Datum Änderungen
1.1.0 2025-08-16 Umfassende Überarbeitung und Optimierung:
• Aktualisierung aller Dockerfile-Templates auf aktuelle Implementierung
• Integration von BuildKit Cache Mounts für optimale Build-Performance
• Dokumentation moderner Docker-Features (syntax=docker/dockerfile:1.8)
• Erweiterte Service-Ports-Matrix mit Debug-Ports und korrekten Health-Checks
• Umfassende docker-compose Konfigurationsbeispiele mit Environment-Variablen
• Neue Sektion für automatisierte Container-Tests (test-dockerfile.sh)
• Aktualisierung auf Europe/Vienna Timezone und Java 21 Optimierungen
• Erweiterte Monitoring- und Observability-Konfigurationen
• Verbesserte Resource-Management und Performance-Tuning Einstellungen
1.0.0 2025-08-16 Initiale Docker-Guidelines basierend auf Containerisierungsstrategie

🤝 Beitragen

Änderungen an den Docker-Guidelines sollten über Pull Requests eingereicht und vom Team reviewed werden. Bei Fragen oder Verbesserungsvorschlägen bitte ein Issue erstellen.

Kontakt: Meldestelle Development Team

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