aiops
实施智能AIOps策略以优化基础设施
AIOps技能帮助你构建自动化的事件响应、异常检测和自愈基础设施。这些模式可与任何监控平台配合使用，以缩短MTTR并提高可靠性。
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Verwendung von "aiops". Help me analyze a high severity alert about high memory usage on our primary database service
Erwartetes Ergebnis:
- Alert Classification: resource_exhaustion - Memory pressure detected
- Recommended Actions: 1) Scale replicas by 20%, 2) Notify devops channel, 3) Check for memory leaks in recent deployments
- Risk Assessment: Impact is high, automatic remediation is safe
- Follow-up: Schedule capacity review if trend continues
Verwendung von "aiops". Create an automated remediation policy for a service that keeps failing health checks
Erwartetes Ergebnis:
- Policy Name: health_check_remediation
- Trigger Condition: 3 consecutive health check failures within 2 minutes
- Action Sequence: 1) Restart deployment, 2) Verify pods are running, 3) Send notification if restart fails
- Safety Gates: Check cluster CPU < 80%, verify no ongoing deployments
- Escalation: Alert on-call if remediation fails after 2 attempts
Verwendung von "aiops". How do I set up anomaly detection for my API response times
Erwartetes Ergebnis:
- Data Source: Configure PrometheusDataSource to query http_request_duration_seconds histogram
- Model Type: Isolation Forest for multi-dimensional anomaly detection
- Training Window: Use last 7 days of historical data
- Alert Threshold: Flag anomalies with z-score > 3.0
- Actions: Trigger investigation workflow when anomaly detected
Sicherheitsaudit
Niedriges RisikoThis is a documentation-only skill containing code patterns for AIOps implementation. Static findings are false positives: C2 keywords are standard DevOps terminology, weak crypto flags are incorrect, subprocess patterns are legitimate kubectl automation, and API key references are placeholder parameter names. Prior AI audit confirmed low risk with no file system access beyond normal execution.
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自动化事件响应
构建自动化运维手册，实现问题检测、分类和修复，无需人工干预
部署自愈系统
创建自动重启服务、扩展资源或隔离故障的策略
实施统一可观测性
跨多个来源的指标、日志和追踪构建仪表板和告警
Probiere diese Prompts
Help me analyze this alert. The severity is [critical|high|medium|low], the service is [name], and the message is: [alert message]. What should our response plan include?
Our [CPU|memory|storage] usage has been [describe trend] over the past [time period]. Using the AIOps patterns, help me create a capacity prediction model and scaling recommendations.
I need to create an automated remediation action for [specific failure type]. Following AIOps best practices, what should the action sequence, safety checks, and rollback plan include?
We experienced an incident affecting [service name]. Help me correlate metrics, logs, and traces to identify the root cause using the observability patterns from the AIOps skill.
Bewährte Verfahren
- 在生产环境中启用自动执行之前，始终为自动化操作实施试运行模式
- 对所有自动化修复操作使用断路器和超时限制
- 即使对于低严重性的自动化响应，也要维护人工升级路径
Vermeiden
- 切勿在无条件检查和预批准保护措施的情况下执行自动化
- 避免硬编码凭据 - 使用密钥管理和环境变量
- 未经彻底测试，请勿对关键服务启用自动修复