Deploy and manage user applications as systemd services with resource limits.
npx skills add https://github.com/bolivian-peru/os-moda --skill app-deployer
Please help me install this Agent Skill. Skill: app-deployer Source: https://github.com/bolivian-peru/os-moda/tree/main/skills/app-deployer Command: npx skills add https://github.com/bolivian-peru/os-moda --skill app-deployer
This Skill automates the deployment and management of user applications, such as Node.js APIs or Python scripts, as reliable, monitored systemd services, eliminating manual setup and maintenance.
Deploy my Node.js API at /home/user/api with port 3000 and a memory limit of 256MB.
High-intent search queries and answers about installing and using this skill.
To deploy a Node.js application as a systemd service, you provide the working directory, start command, environment variables, and resource limits. The application is configured as a systemd service, ensuring it runs reliably and restores automatically on boot.
Yes, you can set memory limits and user isolation for Python scripts managed by systemd. The deployment process uses cgroups for resource limiting and DynamicUser or named users to isolate the application environment.
The best way to keep a Go binary running with boot persistence is deploying it as a systemd service. This approach registers the application in a systemd registry, ensuring the process automatically restarts and restores when the server reboots.
You can check logs and system status for deployed systemd services using built-in monitoring features. The service management interface allows you to view application logs, verify running status, and list all deployed applications.
Yes, this deployment approach supports applications requiring specific environment variables and working directories. You can specify these parameters during the automated deployment process, ensuring the systemd service runs under the exact configuration your application needs.
Using systemd for application management requires a Linux environment supporting systemd. While it provides robust process monitoring, cgroup resource limits, and boot persistence, it may not be suitable for containerized environments or operating systems lacking native systemd support.
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