uptime-monitoring
Implement uptime monitoring and status page systems for tracking service availability. Use when monitoring application uptime, creating status pages, or implementing health checks.
$ Instalar
git clone https://github.com/aj-geddes/useful-ai-prompts /tmp/useful-ai-prompts && cp -r /tmp/useful-ai-prompts/skills/uptime-monitoring ~/.claude/skills/useful-ai-prompts// tip: Run this command in your terminal to install the skill
SKILL.md
name: uptime-monitoring description: Implement uptime monitoring and status page systems for tracking service availability. Use when monitoring application uptime, creating status pages, or implementing health checks.
Uptime Monitoring
Overview
Set up comprehensive uptime monitoring with health checks, status pages, and incident tracking to ensure visibility into service availability.
When to Use
- Service availability tracking
- Health check implementation
- Status page creation
- Incident management
- SLA monitoring
Instructions
1. Health Check Endpoints
// Node.js health check
const express = require('express');
const app = express();
app.get('/health', (req, res) => {
res.json({
status: 'ok',
timestamp: new Date().toISOString(),
uptime: process.uptime()
});
});
app.get('/health/deep', async (req, res) => {
const health = {
status: 'ok',
checks: {
database: 'unknown',
cache: 'unknown',
externalApi: 'unknown'
}
};
try {
const dbResult = await db.query('SELECT 1');
health.checks.database = dbResult ? 'ok' : 'error';
} catch {
health.checks.database = 'error';
health.status = 'degraded';
}
try {
const cacheResult = await redis.ping();
health.checks.cache = cacheResult === 'PONG' ? 'ok' : 'error';
} catch {
health.checks.cache = 'error';
}
try {
const response = await fetch('https://api.example.com/health');
health.checks.externalApi = response.ok ? 'ok' : 'error';
} catch {
health.checks.externalApi = 'error';
}
const statusCode = health.status === 'ok' ? 200 : 503;
res.status(statusCode).json(health);
});
app.get('/readiness', async (req, res) => {
try {
const dbCheck = await db.query('SELECT 1');
const cacheCheck = await redis.ping();
if (dbCheck && cacheCheck === 'PONG') {
res.json({ ready: true });
} else {
res.status(503).json({ ready: false });
}
} catch {
res.status(503).json({ ready: false });
}
});
app.get('/liveness', (req, res) => {
res.json({ alive: true });
});
2. Python Health Checks
from flask import Flask, jsonify
import time
app = Flask(__name__)
startup_time = time.time()
def get_uptime():
return int(time.time() - startup_time)
@app.route('/health')
def health():
return jsonify({
'status': 'ok',
'uptime_seconds': get_uptime()
}), 200
@app.route('/health/deep')
def health_deep():
health_status = {
'status': 'ok',
'checks': {
'database': 'unknown',
'cache': 'unknown'
}
}
try:
db.session.execute('SELECT 1')
health_status['checks']['database'] = 'ok'
except:
health_status['checks']['database'] = 'error'
health_status['status'] = 'degraded'
try:
cache.get('_health')
health_status['checks']['cache'] = 'ok'
except:
health_status['checks']['cache'] = 'error'
status_code = 200 if health_status['status'] == 'ok' else 503
return jsonify(health_status), status_code
@app.route('/readiness')
def readiness():
try:
db.session.execute('SELECT 1')
return jsonify({'ready': True}), 200
except:
return jsonify({'ready': False}), 503
3. Uptime Monitor with Heartbeat
// heartbeat.js
const axios = require('axios');
class UptimeMonitor {
constructor(config = {}) {
this.checkInterval = config.checkInterval || 60000;
this.timeout = config.timeout || 5000;
this.endpoints = config.endpoints || [];
}
async checkEndpoint(endpoint) {
const startTime = Date.now();
try {
const response = await axios.get(endpoint.url, {
timeout: this.timeout,
validateStatus: (s) => s >= 200 && s < 300
});
const check = {
endpoint: endpoint.name,
status: 'up',
responseTime: Date.now() - startTime,
timestamp: new Date()
};
await this.saveCheck(check);
return check;
} catch (error) {
const check = {
endpoint: endpoint.name,
status: 'down',
responseTime: Date.now() - startTime,
timestamp: new Date(),
error: error.message
};
await this.saveCheck(check);
return check;
}
}
async saveCheck(check) {
try {
await db.query(
'INSERT INTO uptime_checks (endpoint, status, response_time, timestamp) VALUES (?, ?, ?, ?)',
[check.endpoint, check.status, check.responseTime, check.timestamp]
);
} catch (error) {
console.error('Failed to save check:', error);
}
}
async runChecks() {
return Promise.all(
this.endpoints.map(e => this.checkEndpoint(e))
);
}
start() {
this.runChecks();
this.interval = setInterval(() => this.runChecks(), this.checkInterval);
}
stop() {
if (this.interval) clearInterval(this.interval);
}
async getStats(endpoint, hours = 24) {
const [stats] = await db.query(`
SELECT
COUNT(*) as total_checks,
SUM(CASE WHEN status = 'up' THEN 1 ELSE 0 END) as uptime_checks,
AVG(response_time) as avg_response_time
FROM uptime_checks
WHERE endpoint = ? AND timestamp > DATE_SUB(NOW(), INTERVAL ? HOUR)
`, [endpoint, hours]);
return stats[0];
}
}
module.exports = UptimeMonitor;
4. Public Status Page API
// status-page-api.js
const express = require('express');
const router = express.Router();
router.get('/api/status', async (req, res) => {
try {
const endpoints = await db.query(`
SELECT DISTINCT endpoint FROM uptime_checks
`);
const status = {
page: { name: 'My Service Status', updated_at: new Date().toISOString() },
components: []
};
for (const { endpoint } of endpoints) {
const [lastCheck] = await db.query(`
SELECT status FROM uptime_checks
WHERE endpoint = ? ORDER BY timestamp DESC LIMIT 1
`, [endpoint]);
status.components.push({
id: endpoint,
name: endpoint,
status: lastCheck?.status === 'up' ? 'operational' : 'major_outage'
});
}
const allUp = status.components.every(c => c.status === 'operational');
status.status = {
overall: allUp ? 'all_operational' : 'major_outage'
};
res.json(status);
} catch (error) {
res.status(500).json({ error: 'Failed to fetch status' });
}
});
router.get('/api/status/uptime/:endpoint', async (req, res) => {
try {
const stats = await db.query(`
SELECT
DATE(timestamp) as date,
COUNT(*) as total,
SUM(CASE WHEN status = 'up' THEN 1 ELSE 0 END) as uptime
FROM uptime_checks
WHERE endpoint = ? AND timestamp > DATE_SUB(NOW(), INTERVAL 30 DAY)
GROUP BY DATE(timestamp)
ORDER BY date DESC
`, [req.params.endpoint]);
res.json(stats);
} catch (error) {
res.status(500).json({ error: 'Failed to fetch statistics' });
}
});
module.exports = router;
5. Kubernetes Health Probes
apiVersion: apps/v1
kind: Deployment
spec:
template:
spec:
containers:
- name: api-service
image: api-service:latest
startupProbe:
httpGet:
path: /health
port: 3000
initialDelaySeconds: 0
periodSeconds: 10
failureThreshold: 30
readinessProbe:
httpGet:
path: /readiness
port: 3000
initialDelaySeconds: 5
periodSeconds: 5
failureThreshold: 3
livenessProbe:
httpGet:
path: /liveness
port: 3000
initialDelaySeconds: 15
periodSeconds: 20
failureThreshold: 3
Best Practices
✅ DO
- Implement comprehensive health checks
- Check all critical dependencies
- Use appropriate timeout values
- Track response times
- Store check history
- Monitor uptime trends
- Alert on status changes
- Use standard HTTP status codes
❌ DON'T
- Check only application process
- Ignore external dependencies
- Set timeouts too low
- Alert on every failure
- Use health checks for load balancing
- Expose sensitive information
SLA Compliance Calculation
function calculateSLA(upChecks, totalChecks) {
const uptime = (upChecks / totalChecks) * 100;
return {
uptime_percentage: uptime.toFixed(4),
meets_99_9: uptime >= 99.9,
meets_99_99: uptime >= 99.99
};
}
Repository

aj-geddes
Author
aj-geddes/useful-ai-prompts/skills/uptime-monitoring
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Updated3d ago
Added5d ago