The following Docker optimized configuration is recommended to meet the production environment requirements:
- Resource constraints: in
docker-compose.ymlAdd in:deploy:
resources:
limits:
cpus: '2'
memory: 1G - health checkup: Configure the service probe:
healthcheck:
test: ['CMD-SHELL', 'curl -f http://localhost:8005/docs || exit 1']
interval: 30s - Persistent Storage: Mount the model cache directory:
volumes:
- ./model_cache:/app/model_cache
Highly available programs:
- utilization
docker-compose scale tts=3Creating multiple instances - To configure load balancing with Nginx, a sample configuration is included in the project
examples/catalogs - Set up log rotation:
logging:
driver: 'json-file'
options:
max-size: '10m'
This answer comes from the articleKitten-TTS-Server: a self-deployable lightweight text-to-speech serviceThe
May not be reproduced without permission:AI productivity tools " Optimizing Kitten-TTS-Server's Docker Deployment Scenarios for Production-Grade Stability
