4090ctlRemotely manage the 4090 server via SSH to monitor Docker containers, restart services, and check system status.
Install via ClawdBot CLI:
clawdbot install olmmlo-cmd/4090ctl通过 SSH 控制 4090 服务器（192.168.199.17）。
# Dify 状态检查
ssh -F ~/.ssh/config 4090 "docker ps -a | grep dify"
# 查看资源使用
ssh -F ~/.ssh/config 4090 "docker stats --no-stream"
# 重启 Dify
ssh -F ~/.ssh/config 4090 "cd ~/dify/docker && docker-compose restart"
# 查看日志
ssh -F ~/.ssh/config 4090 "docker logs -f docker-api-1"# 查看所有容器
docker ps -a
# 查看资源占用
docker stats --no-stream --format 'table {{.Name}}\t{{.CPUPerc}}\t{{.MemPerc}}'
# 重启单个容器
docker restart docker-api-1
# 查看容器日志
docker logs -f docker-api-1| 服务 | 容器名 | 端口 | 说明 |
|------|--------|------|------|
| API | docker-api-1 | 5001 | 主 API |
| Worker | docker-worker-1 | 5001 | 异步任务 |
| Web | docker-web-1 | 3000 | 前端界面 |
| Plugin | docker-plugin_daemon-1 | 5003 | 插件服务 |
| Sandbox | docker-sandbox-1 | - | 安全沙箱 |
# CPU/内存
top -bn1 | head -5
# 磁盘使用
df -h
# 负载情况
uptime~/.ssh/config:
```
Host 4090
HostName 192.168.199.17
User olmmlo
IdentityFile ~/.ssh/4090_key
PasswordAuthentication no
Generated Mar 1, 2026
AI development teams use this skill to monitor and manage their 4090 GPU server hosting Dify AI applications. It allows quick checks on Docker container status, resource usage, and service logs to ensure smooth operation during model training and deployment cycles.
DevOps engineers employ this skill for remote server administration via SSH, enabling efficient Docker container management, system monitoring, and service restarts. It supports maintaining high availability and performance for web-based AI services in production environments.
Academic or corporate research labs utilize this skill to control shared 4090 servers running Dify for experimental AI projects. It facilitates checking CPU, memory, and disk usage, and managing containers to optimize resource allocation among multiple researchers.
Startups offering AI-powered services use this skill to maintain their Dify deployment on a dedicated 4090 server. It helps in quickly diagnosing issues, restarting services like API or web frontend, and monitoring system health to minimize downtime for end-users.
Enterprise IT support teams apply this skill to manage internal AI tools hosted on 4090 servers. It enables routine checks, log reviews, and Docker container management to support employees using Dify for business automation and data analysis tasks.
Companies offer managed hosting for AI applications like Dify on high-performance servers, using this skill for server control and monitoring. They charge subscription fees based on server resources, uptime guarantees, and support levels, targeting businesses without in-house expertise.
Consulting firms provide AI development and deployment services, leveraging this skill to manage client servers running Dify. Revenue comes from project-based fees for setup, customization, and ongoing maintenance, helping clients integrate AI into their operations efficiently.
Organizations offer training programs and technical support for managing AI infrastructure, using this skill as a practical tool. Revenue is generated through course fees, certification programs, and paid support contracts, catering to IT professionals and developers.
💬 Integration Tip
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