What problem does it solve? Operating production servers requires making correct decisions about process managers, monitoring tools, log strategies, and scaling approaches, and wrong choices lead to downtime, disk-full outages, and undetected failures. ## Core Features & Use Cases - Process Management Guidance: Decision tables for choosing between PM2, systemd, Docker, and Kubernetes based on application type and goals like zero-downtime reloads and clustering. - Monitoring and Alerting Strategy: Frameworks for what to monitor (availability, performance, errors, resources), alert severity levels, and tool selection from PM2 metrics to Grafana and Sentry. - Scaling and Troubleshooting Playbooks: Symptom-to-solution mappings for scaling decisions and a prioritized five-step troubleshooting sequence for diagnosing outages. - Use Case: When a Node.js API starts returning slow responses in production, use this Skill to work through the troubleshooting priority order, check process status and resource usage, then decide between vertical and horizontal scaling. ## Quick Start Ask the AI to help you decide how to deploy, monitor, and scale your production application using server management best practices.
