Cluster deployment of GPT-Load requires focused configuration of the following components:
- Shared Database: The default SQLite must be switched to MySQL/PostgreSQL, and all nodes need to be configured with the same DATABASE_DSN connection string, for example:
mysql://user:password@host:port/dbname - Redis must-haves: As a core component of cluster coordination, REDIS_DSN must be set for:
- Inter-node state synchronization
- Request Queue Sharing
- Cache Acceleration
- Environmental Consistency: Needed to be maintained in the .env file for all nodes:
- Same AUTH_KEY authentication key
- Consistent load balancing policy parameters
- Harmonized time zone settings (TZ environment variables)
Checkpoints to verify that the cluster is working properly include:
- pass (a bill or inspection etc)
docker compose logsView inter-node heartbeat communication - Verify that all nodes are online in the web interface
- Test that API requests are routed correctly across different nodes
It is recommended that the production environment with Nginx to achieve load balancing, and configure HTTPS encrypted transmission.
This answer comes from the articleGPT-Load: High Performance Model Agent Pooling and Key Management ToolThe
May not be reproduced without permission:AI productivity tools " What configuration items do I need to pay special attention to when performing a GPT-Load cluster deployment?
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