Zurück zu Fähigkeiten

setup-uptime-checks

pjt222
Aktualisiert Yesterday
1 Ansichten
17
2
17
Auf GitHub ansehen
Metaaiapidesign

Über

Diese Funktion konfiguriert externe Verfügbarkeitsüberwachung mit Blackbox Exporter und Prometheus für kundenorientierte Endpunkte. Sie richtet die Überwachung des SSL-Zertifikatablaufs, HTTP-Health-Checks aus mehreren Regionen und öffentliche Statusseiten ein. Verwenden Sie diese Funktion, wenn Sie die Dienstverfügbarkeit validieren und SLA-Berichtsanforderungen erfüllen müssen.

Schnellinstallation

Claude Code

Empfohlen
Primär
npx skills add pjt222/agent-almanac -a claude-code
Plugin-BefehlAlternativ
/plugin add https://github.com/pjt222/agent-almanac
Git CloneAlternativ
git clone https://github.com/pjt222/agent-almanac.git ~/.claude/skills/setup-uptime-checks

Kopieren Sie diesen Befehl und fügen Sie ihn in Claude Code ein, um diese Fähigkeit zu installieren

Dokumentation

Set Up Uptime Checks

Monitor service availability from external vantage points and prevent SSL certificate expirations.

When to Use

  • Monitoring customer-facing endpoints (APIs, websites)
  • Tracking SSL certificate expiration
  • Validating service availability from multiple regions
  • Creating public status pages
  • Meeting SLA requirements for uptime reporting

Inputs

  • Required: List of HTTP/HTTPS endpoints to monitor
  • Required: Prometheus instance for metric collection
  • Optional: Multiple geographic probe locations
  • Optional: Status page tool (Statuspage.io, Cachet, custom)
  • Optional: Alert notification channels (PagerDuty, Slack)

Procedure

See Extended Examples for complete configuration files and templates.

Step 1: Deploy Blackbox Exporter

Install Blackbox Exporter via Docker or Kubernetes:

# Docker deployment
docker run -d \
  --name blackbox-exporter \
  -p 9115:9115 \
  -v $(pwd)/blackbox.yml:/etc/blackbox_exporter/config.yml \
  prom/blackbox-exporter:latest \
  --config.file=/etc/blackbox_exporter/config.yml

Kubernetes deployment:

# blackbox-exporter-deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: blackbox-exporter
  namespace: monitoring
spec:
  replicas: 1
  selector:
    matchLabels:
      app: blackbox-exporter
  template:
    metadata:
      labels:
        app: blackbox-exporter
    spec:
      containers:
      - name: blackbox-exporter
        image: prom/blackbox-exporter:latest
        ports:
        - containerPort: 9115
        volumeMounts:
        - name: config
          mountPath: /etc/blackbox_exporter
      volumes:
      - name: config
        configMap:
          name: blackbox-exporter-config
---
apiVersion: v1
kind: Service
metadata:
  name: blackbox-exporter
  namespace: monitoring
spec:
  selector:
    app: blackbox-exporter
  ports:
  - port: 9115
    targetPort: 9115

Got: Blackbox Exporter running and accessible on port 9115.

If fail: Check firewall rules, ensure config volume is mounted correctly.

Step 2: Configure Blackbox Modules

Create blackbox.yml with various probe types:

# blackbox.yml
modules:
  # Basic HTTP 200 check
  http_2xx:
    prober: http
    timeout: 5s
    http:
      valid_status_codes: [200]
      method: GET
      follow_redirects: true
      preferred_ip_protocol: "ip4"

  # HTTP with authentication
  http_2xx_auth:
    prober: http
    timeout: 5s
    http:
      valid_status_codes: [200]
      method: GET
      headers:
        Authorization: "Bearer ${AUTH_TOKEN}"

  # API health check (expects JSON response)
  http_json_health:
    prober: http
    timeout: 5s
    http:
      valid_status_codes: [200]
      method: GET
      fail_if_body_not_matches_regexp:
        - '"status":"healthy"'

  # SSL certificate check
  http_2xx_ssl:
    prober: http
    timeout: 5s
    http:
      valid_status_codes: [200]
      method: GET
      tls_config:
        insecure_skip_verify: false
      fail_if_ssl_not_present: true

  # TCP port check (e.g., database)
  tcp_connect:
    prober: tcp
    timeout: 5s
    tcp:
      preferred_ip_protocol: "ip4"

  # ICMP ping
  icmp:
    prober: icmp
    timeout: 5s
    icmp:
      preferred_ip_protocol: "ip4"

  # DNS resolution check
  dns_google:
    prober: dns
    timeout: 5s
    dns:
      query_name: "google.com"
      query_type: "A"
      valid_rcodes:
        - NOERROR

Load config into Kubernetes:

kubectl create configmap blackbox-exporter-config \
  -n monitoring \
  --from-file=blackbox.yml \
  --dry-run=client -o yaml | kubectl apply -f -

Got: Multiple probe modules configured for different check types.

If fail: Validate YAML syntax. Check Blackbox Exporter logs for config errors.

Step 3: Configure Prometheus Scrape

Add Blackbox targets to Prometheus config:

# prometheus.yml
scrape_configs:
  # Blackbox exporter itself
  - job_name: 'blackbox-exporter'
    static_configs:
      - targets: ['blackbox-exporter:9115']

  # HTTP endpoint checks
  - job_name: 'blackbox-http'
    metrics_path: /probe
    params:
      module: [http_2xx]
    static_configs:
      - targets:
          - https://api.company.com/health
          - https://www.company.com
          - https://app.company.com/login
    relabel_configs:
      - source_labels: [__address__]
        target_label: __param_target
      - source_labels: [__param_target]
        target_label: instance
      - target_label: __address__
        replacement: blackbox-exporter:9115

  # SSL certificate expiry checks
  - job_name: 'blackbox-ssl'
    metrics_path: /probe
    params:
      module: [http_2xx_ssl]
    static_configs:
      - targets:
          - https://api.company.com
          - https://www.company.com
    relabel_configs:
      - source_labels: [__address__]
        target_label: __param_target
      - source_labels: [__param_target]
        target_label: instance
      - target_label: __address__
        replacement: blackbox-exporter:9115

  # TCP connectivity checks (databases, etc.)
  - job_name: 'blackbox-tcp'
    metrics_path: /probe
    params:
      module: [tcp_connect]
    static_configs:
      - targets:
          - postgres.internal:5432
          - redis.internal:6379
    relabel_configs:
      - source_labels: [__address__]
        target_label: __param_target
      - source_labels: [__param_target]
        target_label: instance
      - target_label: __address__
        replacement: blackbox-exporter:9115

Reload Prometheus config:

# Reload Prometheus (if running in Docker)
docker exec prometheus kill -HUP 1

# Or Kubernetes
kubectl rollout restart deployment/prometheus -n monitoring

Got: Prometheus scraping Blackbox Exporter, metrics visible in Prometheus UI.

If fail: Check Prometheus logs for scrape errors. Verify Blackbox Exporter is reachable.

Step 4: Create Uptime Alerts

Define alerting rules:

# uptime-alerts.yml
groups:
  - name: uptime
    interval: 30s
    rules:
      - alert: EndpointDown
        expr: probe_success == 0
        for: 2m
        labels:
          severity: critical
        annotations:
          summary: "Endpoint {{ $labels.instance }} is down"
          description: "{{ $labels.instance }} has been unreachable for 2 minutes."

      - alert: SSLCertificateExpiringSoon
        expr: (probe_ssl_earliest_cert_expiry - time()) / 86400 < 14
        for: 1h
        labels:
          severity: warning
        annotations:
          summary: "SSL certificate for {{ $labels.instance }} expires in {{ $value | humanizeDuration }}"
          description: "Certificate expires on {{ $labels.instance }}. Renew soon."

      - alert: SSLCertificateExpired
        expr: (probe_ssl_earliest_cert_expiry - time()) < 0
        for: 5m
        labels:
          severity: critical
        annotations:
          summary: "SSL certificate for {{ $labels.instance }} has EXPIRED"
          description: "URGENT: Certificate expired. Service may be inaccessible."

      - alert: SlowResponseTime
        expr: probe_http_duration_seconds > 3
        for: 5m
        labels:
          severity: warning
        annotations:
          summary: "Slow response from {{ $labels.instance }}"
          description: "HTTP request took {{ $value }}s (threshold: 3s)."

      - alert: HTTPStatusNot200
        expr: probe_http_status_code != 200
        for: 2m
        labels:
          severity: warning
        annotations:
          summary: "HTTP {{ $labels.instance }} returned {{ $value }}"
          description: "Expected 200, got {{ $value }}."

Load into Prometheus:

# Add to prometheus.yml
rule_files:
  - /etc/prometheus/uptime-alerts.yml

# Reload
docker exec prometheus kill -HUP 1

Got: Alerts fire when endpoints are unreachable or SSL certs expiring.

If fail: Check Prometheus alerts page for rule evaluation errors.

Step 5: Build Uptime Dashboard

Create Grafana dashboard:

{
  "dashboard": {
    "title": "Uptime Monitoring",
    "panels": [
      {
        "title": "Endpoint Availability (7 days)",
# ... (see EXAMPLES.md for complete configuration)

Got: Dashboard showing uptime %, SSL expiry, response times.

If fail: Check Prometheus data source in Grafana, verify metrics are being scraped.

Step 6: Set Up Status Page

Option A: Use Statuspage.io (SaaS):

# Integrate with Statuspage.io API
curl -X POST https://api.statuspage.io/v1/pages/PAGE_ID/incidents \
  -H "Authorization: OAuth YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "incident": {
      "name": "API Degradation",
      "status": "investigating",
      "impact_override": "minor",
      "body": "We are investigating elevated error rates on the API."
    }
  }'

Option B: Self-hosted Cachet:

# docker-compose.yml for Cachet
version: '3'
services:
  cachet:
    image: cachethq/docker:latest
    ports:
# ... (see EXAMPLES.md for complete configuration)

Option C: Custom status page from Prometheus metrics:

<!-- Simple status page (served via Nginx or GitHub Pages) -->
<!DOCTYPE html>
<html>
<head>
  <title>Company Status</title>
  <script src="https://cdn.jsdelivr.net/npm/axios/dist/axios.min.js"></script>
# ... (see EXAMPLES.md for complete configuration)

Got: Public status page shows current service status and incidents.

If fail: Ensure status page URL is reachable by customers, not behind VPN.

Validation

  • Blackbox Exporter deployed and accessible
  • Prometheus scraping Blackbox metrics
  • Uptime checks configured for all critical endpoints
  • SSL certificate expiry alerts configured (14-day warning)
  • Alerts tested (simulate endpoint down, check alert fires)
  • Grafana dashboard shows uptime and SSL expiry
  • Status page accessible to customers
  • Alert notifications reach on-call engineers

Pitfalls

  • Internal-only checks: Blackbox Exporter inside cluster can't detect external DNS/routing issues. Deploy probes in multiple clouds/regions.
  • Too frequent scraping: Checking every 10 seconds generates load. 30-60s is usually sufficient.
  • No SSL monitoring: Expired certificates are embarrassing and preventable. Always monitor.
  • Status page not automated: Manually updating status pages during incidents wastes time. Automate from Prometheus alerts.
  • False positives: Single failed check shouldn't alert. Use for: 2m to avoid transient network blips.

Related Skills

  • configure-alerting-rules - create alerts for uptime failures
  • setup-prometheus-monitoring - Prometheus backend for Blackbox Exporter

GitHub Repository

pjt222/agent-almanac
Pfad: i18n/caveman-lite/skills/setup-uptime-checks
0
agentsagentskillsai-assisted-developmentclaude-codeskillsteams

Verwandte Skills

content-collections

Meta

Diese Skill bietet eine produktionsgetestete Einrichtung für Content Collections – ein TypeScript-first-Tool, das Markdown/MDX-Dateien in typsichere Datensammlungen mit Zod-Validierung umwandelt. Verwenden Sie ihn beim Erstellen von Blogs, Dokumentationsseiten oder inhaltsstarken Vite + React-Anwendungen, um Typsicherheit und automatische Inhaltsvalidierung zu gewährleisten. Er behandelt alles von der Vite-Plugin-Konfiguration und MDX-Kompilierung bis hin zur Deployment-Optimierung und Schema-Validierung.

Skill ansehen

polymarket

Meta

Diese Fähigkeit ermöglicht es Entwicklern, Anwendungen mit der Polymarket-Prognosemärkte-Plattform zu erstellen, einschließlich API-Integration für Handel und Marktdaten. Sie bietet außerdem Echtzeit-Datenstreaming über WebSocket, um Live-Trades und Marktaktivitäten zu überwachen. Nutzen Sie sie zur Implementierung von Handelsstrategien oder zur Erstellung von Tools, die Live-Marktaktualisierungen verarbeiten.

Skill ansehen

creating-opencode-plugins

Meta

Diese Fähigkeit unterstützt Entwickler dabei, OpenCode-Plugins zu erstellen, die in über 25 Ereignistypen wie Befehle, Dateien und LSP-Operationen eingreifen. Sie bietet die Plugin-Struktur, Event-API-Spezifikationen und Implementierungsmuster für JavaScript/TypeScript-Module. Nutzen Sie sie, wenn Sie den Lebenszyklus des OpenCode KI-Assistenten mit benutzerdefinierter ereignisgesteuerter Logik abfangen, überwachen oder erweitern müssen.

Skill ansehen

sglang

Meta

SGLang ist ein hochperformantes LLM-Serving-Framework, das sich auf schnelle, strukturierte Generierung für JSON, Regex und agentenbasierte Workflows unter Verwendung seines RadixAttention-Prefix-Cachings spezialisiert. Es bietet deutlich schnellere Inferenz, insbesondere für Aufgaben mit wiederholten Präfixen, was es ideal für komplexe, strukturierte Ausgaben und Mehrfachdialoge macht. Wählen Sie SGLang gegenüber Alternativen wie vLLM, wenn Sie constrained decoding benötigen oder Anwendungen mit umfangreicher Präfix-Weitergabe entwickeln.

Skill ansehen