Solution: Enable one-click model service deployment using SkyServe
Background: Traditional deployments require manual configuration of complex components such as load balancers, HTTPS certificates, and auto-scaling.
- Deployment process
- Defined in YAML
serviceSection Configuration:replica: 2Set up at least two copies.ports: 8080Specify the service portload_balancer: rrUsing round-robin load balancing
- fulfillment
sky serve up serve.yaml --name my-service - pass (a bill or inspection etc)
sky serve statusObtain HTTPS Access Endpoint
- Defined in YAML
- Key Safeguard Mechanism
- spontaneous recovery: Instance rebuild within 30 seconds after failure
- Zero-downtime updatesAfter modifying the YAML file, execute
sky serve updateImplement blue-green deployment - Monitoring AlertsIntegrate Prometheus Metrics Exposure Interface
- Production Recommendations
- set up
resources.autostop: falsePreventing unexpected service termination - utilization
service.endpoint.timeoutSet appropriate timeout thresholds - pass (a bill or inspection etc)
sky.serve.logsCentralized collection of all backup logs
- set up
Effect: Actual testing demonstrates that this solution delivers a 99.951% SLA guarantee for TP3T, while reducing deployment time from 2 hours to 5 minutes.
This answer comes from the articleSkyPilot: an open-source framework for efficiently running AI and batch tasks in any cloudThe
May not be reproduced without permission:AI productivity tools " How to eliminate the O&M burden when deploying AI modeling services and achieve a highly available production environment?
