server-management

Server management principles and decision-making. Process management, monitoring strategy, and scaling decisions. Teaches thinking, not commands.

24,269 stars

Best use case

server-management is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Server management principles and decision-making. Process management, monitoring strategy, and scaling decisions. Teaches thinking, not commands.

Teams using server-management should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/server-management/SKILL.md --create-dirs "https://raw.githubusercontent.com/davila7/claude-code-templates/main/cli-tool/components/skills/development/server-management/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/server-management/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How server-management Compares

Feature / Agentserver-managementStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Server management principles and decision-making. Process management, monitoring strategy, and scaling decisions. Teaches thinking, not commands.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# 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.

Related Skills

react-state-management

24269
from davila7/claude-code-templates

Master modern React state management with Redux Toolkit, Zustand, Jotai, and React Query. Use when setting up global state, managing server state, or choosing between state management solutions.

secrets-management

24269
from davila7/claude-code-templates

Secure secrets management practices for CI/CD pipelines using Vault, AWS Secrets Manager, and other tools.

citation-management

24269
from davila7/claude-code-templates

Comprehensive citation management for academic research. Search Google Scholar and PubMed for papers, extract accurate metadata, validate citations, and generate properly formatted BibTeX entries. This skill should be used when you need to find papers, verify citation information, convert DOIs to BibTeX, or ensure reference accuracy in scientific writing.

risk-management-specialist

24269
from davila7/claude-code-templates

Senior Risk Management specialist for medical device companies implementing ISO 14971 risk management throughout product lifecycle. Provides risk analysis, risk evaluation, risk control, and post-production information analysis. Use for risk management planning, risk assessments, risk control verification, and risk management file maintenance.

fastmcp-server

24269
from davila7/claude-code-templates

Complete guide for building MCP servers with FastMCP 3.0 - tools, resources, authentication, providers, middleware, and deployment. Use when creating Python MCP servers or integrating AI models with external tools and data.

aws-serverless

24269
from davila7/claude-code-templates

Specialized skill for building production-ready serverless applications on AWS. Covers Lambda functions, API Gateway, DynamoDB, SQS/SNS event-driven patterns, SAM/CDK deployment, and cold start optimization.

modal-serverless-gpu

24269
from davila7/claude-code-templates

Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.

context-window-management

24269
from davila7/claude-code-templates

Strategies for managing LLM context windows including summarization, trimming, routing, and avoiding context rot Use when: context window, token limit, context management, context engineering, long context.

agent-management

24269
from davila7/claude-code-templates

Create, manage, and orchestrate AI agents using the AI Maestro CLI. Use when the user asks to "create agent", "list agents", "delete agent", "hibernate agent", "wake agent", "install plugin", "show agent", "restart agent", or any agent lifecycle management task.

async-python-patterns

24269
from davila7/claude-code-templates

Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.

slack-automation

24269
from davila7/claude-code-templates

Automate Slack workspace operations including messaging, search, channel management, and reaction workflows through Composio's Slack toolkit.

linear-automation

24269
from davila7/claude-code-templates

Automate Linear tasks via Rube MCP (Composio): issues, projects, cycles, teams, labels. Always search tools first for current schemas.