Server Management
- 144 installs
- 8.1k repo stars
- Updated August 4, 2026
- vudovn/antigravity-kit
Use server-management for development tasks
About
server-management: A skill skill for development. This skill provides functionality for development workflows.
- server-management
Server Management by the numbers
- 144 all-time installs (skills.sh)
- +2 installs in the week ending Aug 5, 2026 (Skillselion tracking)
- Ranked #2,604 of 4,347 Backend & APIs skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
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| Installs | 144 |
|---|---|
| repo stars | ★ 8.1k |
| Last updated | August 4, 2026 |
| Repository | vudovn/antigravity-kit ↗ |
What it does
Use server-management for development tasks
Files
Server Management
Server management principles for production operations.
Learn to THINK, not memorize commands.
---
1. Process Management Principles
Tool Selection
| Scenario | Tool |
|---|---|
| Node.js app | PM2 (clustering, reload) |
| Any app | systemd (Linux native) |
| Containers | Docker/Podman |
| Orchestration | Kubernetes, Docker Swarm |
Process Management Goals
| Goal | What It Means |
|---|---|
| Restart on crash | Auto-recovery |
| Zero-downtime reload | No service interruption |
| Clustering | Use all CPU cores |
| Persistence | Survive server reboot |
---
2. Monitoring Principles
What to Monitor
| Category | Key Metrics |
|---|---|
| Availability | Uptime, health checks |
| Performance | Response time, throughput |
| Errors | Error rate, types |
| Resources | CPU, memory, disk |
Alert Severity Strategy
| Level | Response |
|---|---|
| Critical | Immediate action |
| Warning | Investigate soon |
| Info | Review daily |
Monitoring Tool Selection
| Need | Options |
|---|---|
| Simple/Free | PM2 metrics, htop |
| Full observability | Grafana, Datadog |
| Error tracking | Sentry |
| Uptime | UptimeRobot, Pingdom |
---
3. Log Management Principles
Log Strategy
| Log Type | Purpose |
|---|---|
| Application logs | Debug, audit |
| Access logs | Traffic analysis |
| Error logs | Issue detection |
Log Principles
1. Rotate logs to prevent disk fill 2. Structured logging (JSON) for parsing 3. Appropriate levels (error/warn/info/debug) 4. No sensitive data in logs
---
4. Scaling Decisions
When to Scale
| Symptom | Solution |
|---|---|
| High CPU | Add instances (horizontal) |
| High memory | Increase RAM or fix leak |
| Slow response | Profile first, then scale |
| Traffic spikes | Auto-scaling |
Scaling Strategy
| Type | When to Use |
|---|---|
| Vertical | Quick fix, single instance |
| Horizontal | Sustainable, distributed |
| Auto | Variable traffic |
---
5. Health Check Principles
What Constitutes Healthy
| Check | Meaning |
|---|---|
| HTTP 200 | Service responding |
| Database connected | Data accessible |
| Dependencies OK | External services reachable |
| Resources OK | CPU/memory not exhausted |
Health Check Implementation
- Simple: Just return 200
- Deep: Check all dependencies
- Choose based on load balancer needs
---
6. Security Principles
| Area | Principle |
|---|---|
| Access | SSH keys only, no passwords |
| Firewall | Only needed ports open |
| Updates | Regular security patches |
| Secrets | Environment vars, not files |
| Audit | Log access and changes |
---
7. Troubleshooting Priority
When something's wrong:
1. Check if running (process status) 2. Check logs (error messages) 3. Check resources (disk, memory, CPU) 4. Check network (ports, DNS) 5. Check dependencies (database, APIs)
---
8. Anti-Patterns
| ❌ Don't | ✅ Do |
|---|---|
| Run as root | Use non-root user |
| Ignore logs | Set up log rotation |
| Skip monitoring | Monitor from day one |
| Manual restarts | Auto-restart config |
| No backups | Regular backup schedule |
---
Remember: A well-managed server is boring. That's the goal.
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