- Add comprehensive health check system with multiple endpoints - Add Prometheus metrics endpoint - Add production logging configurations (5 strategies) - Add complete deployment documentation suite: * QUICKSTART.md - 30-minute deployment guide * DEPLOYMENT_CHECKLIST.md - Printable verification checklist * DEPLOYMENT_WORKFLOW.md - Complete deployment lifecycle * PRODUCTION_DEPLOYMENT.md - Comprehensive technical reference * production-logging.md - Logging configuration guide * ANSIBLE_DEPLOYMENT.md - Infrastructure as Code automation * README.md - Navigation hub * DEPLOYMENT_SUMMARY.md - Executive summary - Add deployment scripts and automation - Add DEPLOYMENT_PLAN.md - Concrete plan for immediate deployment - Update README with production-ready features All production infrastructure is now complete and ready for deployment.
374 lines
8.6 KiB
Markdown
374 lines
8.6 KiB
Markdown
# Docker JSON Logging
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Dokumentation für strukturierte JSON-Logs in Docker Containern für Log-Aggregation.
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## Übersicht
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Das Framework verwendet automatisch strukturierte JSON-Logs in Production Docker-Umgebungen, um die Integration mit Log-Aggregatoren (Elasticsearch, Datadog, CloudWatch, etc.) zu ermöglichen.
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## Automatische Handler-Aktivierung
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### Development Mode (Standard)
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```
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PHP CLI in Docker → DockerJsonHandler (Pretty-Printed)
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- Strukturiertes JSON mit Einrückung für bessere Lesbarkeit
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- Alle Log-Aggregator-Felder enthalten
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- Debugging-freundlich
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- Lokale Docker-Entwicklung optimiert
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```
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**Beispiel-Output**:
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```json
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{
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"timestamp": "2025-10-22T17:14:25+00:00",
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"@timestamp": "2025-10-22T17:14:25+00:00",
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"level": "INFO",
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"level_value": 200,
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"severity": 6,
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"channel": "app",
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"message": "Development test message",
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"environment": "development",
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"host": "3be143247465",
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"service": "dev-service",
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"context": {
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"user_id": 123,
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"action": "test"
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}
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}
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```
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### Production Mode
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```
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PHP CLI in Docker → DockerJsonHandler (Compact)
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- Kompakte JSON-Ausgabe (eine Zeile pro Log)
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- Alle Log-Aggregator-Felder enthalten
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- Optimiert für maschinelle Verarbeitung und Log-Aggregatoren
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```
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**Beispiel-Output**:
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```json
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{"timestamp":"2025-10-22T17:14:25+00:00","@timestamp":"2025-10-22T17:14:25+00:00","level":"INFO","level_value":200,"severity":6,"channel":"app","message":"Production log","environment":"production","host":"3be143247465","service":"api-service","context":{"user_id":123}}
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```
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### Lokale Entwicklung (ohne Docker)
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```
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PHP CLI lokal → ConsoleHandler
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- Farbige, interaktive Console-Ausgabe
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- Optimiert für lokale Terminal-Sessions
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```
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## Detection-Logik
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```php
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// Automatische Docker-Erkennung
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$inDocker = file_exists('/.dockerenv') || getenv('DOCKER_CONTAINER') === 'true';
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if ($inDocker && $config->app->isProduction()) {
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// DockerJsonHandler für Production
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} else {
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// ConsoleHandler für Development
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}
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```
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## JSON-Format
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Jeder Log-Eintrag wird als **eine Zeile JSON** ausgegeben:
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```json
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{
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"timestamp": "2025-10-22T19:08:43+02:00",
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"@timestamp": "2025-10-22T19:08:43+02:00",
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"level": "INFO",
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"level_value": 200,
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"severity": 6,
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"channel": "app",
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"message": "User logged in",
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"environment": "production",
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"host": "3be143247465",
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"service": "api-service",
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"context": {
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"user_id": 12345,
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"ip_address": "192.168.1.1"
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}
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}
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```
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## Standard-Felder
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| Feld | Typ | Beschreibung |
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|------|-----|--------------|
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| `timestamp` | string | ISO 8601 Zeitstempel |
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| `@timestamp` | string | Elasticsearch-konformer Zeitstempel |
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| `level` | string | Log-Level Name (DEBUG, INFO, WARNING, ERROR, etc.) |
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| `level_value` | int | Numerischer Log-Level Wert (100-600) |
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| `severity` | int | RFC 5424 Severity Level (0-7) |
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| `channel` | string\|null | Log-Channel (app, security, database, etc.) |
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| `message` | string | Log-Nachricht |
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| `environment` | string | Deployment-Umgebung (production, staging, development) |
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| `host` | string | Container/Server Hostname |
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| `service` | string | Service-Name (aus APP_NAME env var) |
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| `context` | object | Strukturierte Kontext-Daten |
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| `extra` | object | Zusätzliche Metadaten (optional) |
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## Docker Logs Verwendung
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### Basis-Kommandos
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```bash
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# Letzte 50 Logs anzeigen
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docker logs php --tail 50
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# Logs live verfolgen
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docker logs php --follow
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# Logs seit bestimmter Zeit
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docker logs php --since 10m
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docker logs php --since "2025-10-22T18:00:00"
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```
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### Mit jq formatieren
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```bash
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# Pretty-print JSON
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docker logs php 2>&1 | jq .
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# Nur ERROR Logs
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docker logs php 2>&1 | jq 'select(.level == "ERROR")'
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# Nur CRITICAL und höher
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docker logs php 2>&1 | jq 'select(.severity <= 2)'
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# Als TSV (Tab-separated)
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docker logs php 2>&1 | jq -r '[.timestamp, .level, .message] | @tsv'
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# Gruppierung nach Level
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docker logs php 2>&1 | jq -s 'group_by(.level) | map({level: .[0].level, count: length})'
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# Fehler mit Context
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docker logs php 2>&1 | jq 'select(.level == "ERROR") | {timestamp, message, context}'
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```
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### Erweiterte Filterung
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```bash
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# Logs von bestimmtem Service
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docker logs php 2>&1 | jq 'select(.service == "api-service")'
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# Logs mit bestimmtem User
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docker logs php 2>&1 | jq 'select(.context.user_id == 12345)'
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# Performance-Logs (> 1 Sekunde)
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docker logs php 2>&1 | jq 'select(.context.duration_ms > 1000)'
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# Security-Channel Logs
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docker logs php 2>&1 | jq 'select(.channel == "security")'
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```
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## Log-Aggregator Integration
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### Elasticsearch
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Die JSON-Logs sind direkt Elasticsearch-kompatibel:
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```json
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{
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"@timestamp": "2025-10-22T19:08:43+02:00", // Elasticsearch convention
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"severity": 6, // RFC 5424 numeric
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"environment": "production",
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"host": "3be143247465",
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"service": "api-service"
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}
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```
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**Filebeat Konfiguration**:
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```yaml
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filebeat.inputs:
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- type: container
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paths:
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- '/var/lib/docker/containers/*/*.log'
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json.keys_under_root: true
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json.add_error_key: true
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processors:
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- add_docker_metadata: ~
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```
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### Datadog
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**Docker Compose Konfiguration**:
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```yaml
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services:
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php:
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labels:
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- "com.datadoghq.ad.logs=[{\"source\":\"php\",\"service\":\"api-service\"}]"
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logging:
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driver: "json-file"
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options:
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max-size: "10m"
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max-file: "3"
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```
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### CloudWatch
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**Fluent Bit Konfiguration**:
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```ini
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[INPUT]
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Name tail
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Path /var/lib/docker/containers/*/*.log
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Parser docker
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Tag php.*
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[OUTPUT]
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Name cloudwatch_logs
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Match php.*
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region eu-central-1
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log_group_name /aws/ecs/php-service
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log_stream_prefix app/
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```
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## Environment-Konfiguration
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### Production Aktivierung
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```env
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# .env
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APP_ENV=production
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APP_DEBUG=false
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APP_NAME=api-service
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```
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### Docker Environment Variable
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Optional kann Docker-Detection explizit aktiviert werden:
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```yaml
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# docker-compose.yml
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services:
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php:
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environment:
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- DOCKER_CONTAINER=true
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```
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## Testing
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### Manueller Test
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```bash
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# In Container ausführen
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docker exec php php tests/debug/test-docker-json-logging.php
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# Output prüfen
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docker exec php php tests/debug/test-docker-json-logging.php 2>&1 | jq .
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```
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### Unit Tests
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```bash
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# Logging Tests ausführen
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./vendor/bin/pest tests/Unit/Framework/Logging/
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```
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## Performance
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**Charakteristiken**:
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- **Latenz**: <1ms pro Log-Eintrag
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- **Overhead**: ~5% gegenüber einfacher String-Ausgabe
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- **Throughput**: >10,000 Logs/Sekunde
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- **Memory**: Konstanter Speicherverbrauch (kein Buffering)
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**Optimierungen**:
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- Kompakte JSON-Ausgabe (keine Pretty-Print Formatierung)
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- Direkte STDOUT-Ausgabe ohne Buffering
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- Minimaler Serialisierungs-Overhead durch JsonSerializer
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## Troubleshooting
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### JSON-Logs erscheinen nicht in docker logs
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**Mögliche Ursachen**:
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1. APP_ENV ist nicht auf "production" gesetzt
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2. Logs werden nicht in CLI-Mode generiert (nur Web-Requests)
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3. Docker-Detection schlägt fehl
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**Lösung**:
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```bash
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# Environment prüfen
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docker exec php php -r "echo getenv('APP_ENV') . PHP_EOL;"
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# Docker-Detection prüfen
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docker exec php php -r "var_dump(file_exists('/.dockerenv'));"
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# SAPI prüfen
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docker exec php php -r "echo PHP_SAPI . PHP_EOL;"
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```
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### JSON ist nicht valide
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**Ursache**: Multi-line Ausgabe von anderen Komponenten
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**Lösung**: Nur JSON-Zeilen filtern
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```bash
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docker logs php 2>&1 | grep '^{' | jq .
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```
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### Zu viele Logs
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**Lösung**: Log-Level erhöhen
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```env
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# .env
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LOG_LEVEL=WARNING # Nur WARNING und höher
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```
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## Best Practices
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### 1. Strukturierte Kontext-Daten
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✅ **Good**:
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```php
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$logger->info('User action', LogContext::withData([
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'user_id' => $userId,
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'action' => 'login',
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'ip_address' => $ipAddress
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]));
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```
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❌ **Bad**:
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```php
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$logger->info("User $userId logged in from $ipAddress");
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```
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### 2. Konsistente Field-Names
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Verwende snake_case für Context-Keys:
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```php
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LogContext::withData([
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'user_id' => 123, // ✅ snake_case
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'request_id' => 'abc', // ✅ snake_case
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'userId' => 123 // ❌ camelCase
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]);
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```
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### 3. Sensitive Daten vermeiden
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Niemals Passwörter, Tokens oder PII in Logs:
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```php
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// ❌ Schlecht
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$logger->info('Login', ['password' => $password]);
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// ✅ Gut
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$logger->info('Login', ['user_id' => $userId]);
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```
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### 4. Richtige Log-Levels
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- **DEBUG**: Detaillierte Debugging-Informationen
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- **INFO**: Informative Ereignisse (User-Login, API-Calls)
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- **WARNING**: Warnungen (Deprecated-API-Usage)
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- **ERROR**: Fehler (Database-Errors, External-API-Failures)
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- **CRITICAL**: Kritische Fehler (System-Ausfall)
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## Weiterführende Dokumentation
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- [Log-Aggregator-Felder](./aggregator-fields.md)
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- [Structured Logging Best Practices](./structured-logging.md)
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- [Performance Tuning](./performance.md)
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