LLM事件响应
--- title: "LLM事件响应" description: "全面介绍LLM事件响应流程，包括应急预案、根因分析、事后复原等核心环节和最佳实践" tags: ["事件响应", "应急预案", "根因分析", "事后复原"] category: "llm" icon: "🧠"
LLM事件响应
LLM事件响应概述
LLM事件响应是指在大语言模型系统出现异常、故障或安全事件时，组织采取的一系列系统性应对措施。有效的事件响应能够最小化业务影响，快速恢复服务，并从事件中学习改进。
事件响应框架
from datetime import datetime, timedelta
from typing import Dict, List, Any, Optional
from enum import Enum
import json
import threading
class IncidentSeverity(Enum):
"""事件严重程度"""
LOW = "low"
MEDIUM = "medium"
HIGH = "high"
CRITICAL = "critical"
class IncidentStatus(Enum):
"""事件状态"""
DETECTED = "detected"
INVESTIGATING = "investigating"
IDENTIFIED = "identified"
CONTAINING = "containing"
ERADICATING = "eradicating"
RECOVERING = "recovering"
RESOLVED = "resolved"
POST_INCIDENT = "post_incident"
class LLMIncidentResponse:
"""LLM事件响应系统"""
def __init__(self):
self.incidents = []
self.response_teams = []
self.runbooks = []
self.communication_templates = {}
self.lessons_learned = []
self.lock = threading.Lock()
def create_incident(self, incident_config: Dict[str, Any]) -> str:
"""创建事件"""
incident_id = f"INC-{datetime.now().strftime('%Y%m%d')}-{len(self.incidents) + 1:04d}"
incident = {
"id": incident_id,
"title": incident_config.get("title", ""),
"description": incident_config.get("description", ""),
"severity": incident_config.get("severity", IncidentSeverity.MEDIUM),
"status": IncidentStatus.DETECTED,
"impact": incident_config.get("impact", {}),
"affected_services": incident_config.get("affected_services", []),
"detected_at": datetime.now().isoformat(),
"acknowledged_at": None,
"resolved_at": None,
"assigned_to": None,
"response_team": None,
"timeline": [],
"actions_taken": [],
"root_cause": None,
"resolution": None,
"lessons_learned": None
}
with self.lock:
self.incidents.append(incident)
# 自动分配团队
self._auto_assign_team(incident)
# 记录时间线
self._add_timeline_entry(incident_id, "Incident created")
return incident_id
def acknowledge_incident(self, incident_id: str, user: str) -> bool:
"""确认事件"""
incident = self._get_incident(incident_id)
if not incident:
return False
with self.lock:
incident["status"] = IncidentStatus.INVESTIGATING
incident["acknowledged_at"] = datetime.now().isoformat()
incident["assigned_to"] = user
self._add_timeline_entry(incident_id, f"Incident acknowledged by {user}")
return True
def update_incident(self, incident_id: str, updates: Dict[str, Any]) -> bool:
"""更新事件"""
incident = self._get_incident(incident_id)
if not incident:
return False
with self.lock:
for key, value in updates.items():
if key in incident:
incident[key] = value
self._add_timeline_entry(incident_id, f"Incident updated: {list(updates.keys())}")
return True
def resolve_incident(self, incident_id: str, resolution: Dict[str, Any]) -> bool:
"""解决事件"""
incident = self._get_incident(incident_id)
if not incident:
return False
with self.lock:
incident["status"] = IncidentStatus.RESOLVED
incident["resolved_at"] = datetime.now().isoformat()
incident["resolution"] = resolution
self._add_timeline_entry(incident_id, "Incident resolved")
# 触发事后复盘
self._trigger_post_incident_review(incident_id)
return True
def _auto_assign_team(self, incident: Dict):
"""自动分配团队"""
affected_services = incident.get("affected_services", [])
for team in self.response_teams:
team_services = team.get("services", [])
if any(service in team_services for service in affected_services):
incident["response_team"] = team["id"]
break
def _add_timeline_entry(self, incident_id: str, entry: str):
"""添加时间线条目"""
incident = self._get_incident(incident_id)
if incident:
timeline_entry = {
"timestamp": datetime.now().isoformat(),
"entry": entry
}
incident["timeline"].append(timeline_entry)
def _get_incident(self, incident_id: str) -> Optional[Dict]:
"""获取事件"""
for incident in self.incidents:
if incident["id"] == incident_id:
return incident
return None
def _trigger_post_incident_review(self, incident_id: str):
"""触发事后复盘"""
incident = self._get_incident(incident_id)
if incident:
review = self._conduct_post_incident_review(incident)
self.lessons_learned.append(review)
def _conduct_post_incident_review(self, incident: Dict) -> Dict:
"""进行事后复盘"""
return {
"incident_id": incident["id"],
"title": incident["title"],
"severity": incident["severity"],
"duration": self._calculate_duration(incident),
"timeline": incident["timeline"],
"root_cause": incident.get("root_cause"),
"resolution": incident.get("resolution"),
"lessons_learned": [],
"action_items": [],
"review_date": datetime.now().isoformat()
}
def _calculate_duration(self, incident: Dict) -> str:
"""计算持续时间"""
detected_at = datetime.fromisoformat(incident["detected_at"])
resolved_at = incident.get("resolved_at")
if resolved_at:
resolved_at = datetime.fromisoformat(resolved_at)
duration = resolved_at - detected_at
return str(duration)
else:
return "Ongoing"
def get_incident_status(self, incident_id: str) -> Dict[str, Any]:
"""获取事件状态"""
incident = self._get_incident(incident_id)
if not incident:
return {"error": "Incident not found"}
return {
"id": incident["id"],
"title": incident["title"],
"severity": incident["severity"],
"status": incident["status"],
"detected_at": incident["detected_at"],
"acknowledged_at": incident.get("acknowledged_at"),
"resolved_at": incident.get("resolved_at"),
"assigned_to": incident.get("assigned_to"),
"response_team": incident.get("response_team"),
"timeline": incident["timeline"]
}
def get_active_incidents(self) -> List[Dict]:
"""获取活跃事件"""
return [
incident for incident in self.incidents
if incident["status"] not in [IncidentStatus.RESOLVED, IncidentStatus.POST_INCIDENT]
]
def get_incident_metrics(self) -> Dict[str, Any]:
"""获取事件指标"""
total_incidents = len(self.incidents)
resolved_incidents = sum(1 for i in self.incidents if i["status"] == IncidentStatus.RESOLVED)
severity_counts = {}
for incident in self.incidents:
severity = incident["severity"]
severity_counts[severity] = severity_counts.get(severity, 0) + 1
return {
"total_incidents": total_incidents,
"resolved_incidents": resolved_incidents,
"resolution_rate": resolved_incidents / total_incidents if total_incidents > 0 else 0,
"severity_distribution": severity_counts,
"average_resolution_time": self._calculate_average_resolution_time()
}
def _calculate_average_resolution_time(self) -> str:
"""计算平均解决时间"""
resolved_incidents = [
i for i in self.incidents
if i["status"] == IncidentStatus.RESOLVED and i.get("resolved_at")
]
if not resolved_incidents:
return "N/A"
total_duration = timedelta()
for incident in resolved_incidents:
detected = datetime.fromisoformat(incident["detected_at"])
resolved = datetime.fromisoformat(incident["resolved_at"])
total_duration += resolved - detected
average = total_duration / len(resolved_incidents)
return str(average)
应急预案
预案管理器
class IncidentResponsePlan:
"""事件响应预案"""
def __init__(self):
self.plans = []
self.procedures = []
self.checklists = []
def create_response_plan(self, plan_config: Dict[str, Any]) -> str:
"""创建响应预案"""
plan_id = f"PLAN-{len(self.plans) + 1}"
plan = {
"id": plan_id,
"name": plan_config.get("name", ""),
"description": plan_config.get("description", ""),
"scope": plan_config.get("scope", []),
"triggers": plan_config.get("triggers", []),
"roles": plan_config.get("roles", []),
"steps": plan_config.get("steps", []),
"communication_plan": plan_config.get("communication_plan", {}),
"escalation_procedures": plan_config.get("escalation_procedures", []),
"resources": plan_config.get("resources", []),
"created_at": datetime.now().isoformat(),
"last_tested": None,
"version": "1.0"
}
self.plans.append(plan)
return plan_id
def execute_plan(self, plan_id: str, incident: Dict) -> Dict[str, Any]:
"""执行预案"""
plan = self._get_plan(plan_id)
if not plan:
return {"error": "Plan not found"}
execution = {
"plan_id": plan_id,
"incident_id": incident.get("id", ""),
"started_at": datetime.now().isoformat(),
"steps_completed": [],
"steps_failed": [],
"status": "running"
}
for step in plan.get("steps", []):
try:
result = self._execute_step(step, incident)
execution["steps_completed"].append({
"step": step,
"result": result,
"completed_at": datetime.now().isoformat()
})
except Exception as e:
execution["steps_failed"].append({
"step": step,
"error": str(e),
"failed_at": datetime.now().isoformat()
})
execution["status"] = "failed"
break
if execution["status"] != "failed":
execution["status"] = "completed"
execution["completed_at"] = datetime.now().isoformat()
return execution
def _get_plan(self, plan_id: str) -> Optional[Dict]:
"""获取预案"""
for plan in self.plans:
if plan["id"] == plan_id:
return plan
return None
def _execute_step(self, step: Dict, incident: Dict) -> Any:
"""执行步骤"""
step_type = step.get("type", "")
if step_type == "assess":
return self._execute_assess_step(step, incident)
elif step_type == "communicate":
return self._execute_communicate_step(step, incident)
elif step_type == "contain":
return self._execute_contain_step(step, incident)
elif step_type == "remediate":
return self._execute_remediate_step(step, incident)
elif step_type == "verify":
return self._execute_verify_step(step, incident)
else:
return {"status": "skipped", "reason": f"Unknown step type: {step_type}"}
def _execute_assess_step(self, step: Dict, incident: Dict) -> Dict:
"""执行评估步骤"""
return {
"status": "completed",
"assessment": {
"impact": incident.get("impact", {}),
"affected_services": incident.get("affected_services", []),
"severity": incident.get("severity", "")
}
}
def _execute_communicate_step(self, step: Dict, incident: Dict) -> Dict:
"""执行通信步骤"""
recipients = step.get("recipients", [])
message_template = step.get("message_template", "")
# 发送通信
return {
"status": "completed",
"recipients_notified": len(recipients),
"message_sent": message_template.format(incident=incident)
}
def _execute_contain_step(self, step: Dict, incident: Dict) -> Dict:
"""执行遏制步骤"""
containment_actions = step.get("actions", [])
# 执行遏制措施
return {
"status": "completed",
"actions_executed": containment_actions
}
def _execute_remediate_step(self, step: Dict, incident: Dict) -> Dict:
"""执行修复步骤"""
remediation_plan = step.get("remediation_plan", "")
# 执行修复
return {
"status": "completed",
"remediation_plan": remediation_plan
}
def _execute_verify_step(self, step: Dict, incident: Dict) -> Dict:
"""执行验证步骤"""
verification_checks = step.get("checks", [])
# 执行验证
return {
"status": "completed",
"checks_passed": len(verification_checks),
"all_passed": True
}
def test_plan(self, plan_id: str) -> Dict[str, Any]:
"""测试预案"""
plan = self._get_plan(plan_id)
if not plan:
return {"error": "Plan not found"}
# 模拟执行
test_incident = {
"id": "TEST-001",
"title": "Test Incident",
"severity": IncidentSeverity.LOW
}
execution = self.execute_plan(plan_id, test_incident)
# 更新最后测试时间
plan["last_tested"] = datetime.now().isoformat()
return {
"plan_id": plan_id,
"test_result": execution,
"tested_at": datetime.now().isoformat(),
"recommendations": self._generate_test_recommendations(execution)
}
def _generate_test_recommendations(self, execution: Dict) -> List[str]:
"""生成测试建议"""
recommendations = []
if execution.get("status") == "failed":
recommendations.append("预案执行失败，需要检查步骤配置")
failed_steps = execution.get("steps_failed", [])
if failed_steps:
recommendations.append(f"有 {len(failed_steps)} 个步骤失败，需要优化")
return recommendations
def update_plan(self, plan_id: str, updates: Dict[str, Any]) -> bool:
"""更新预案"""
plan = self._get_plan(plan_id)
if not plan:
return False
plan.update(updates)
plan["version"] = self._increment_version(plan.get("version", "1.0"))
return True
def _increment_version(self, version: str) -> str:
"""递增版本号"""
parts = version.split(".")
if len(parts) == 2:
major, minor = parts
return f"{major}.{int(minor) + 1}"
return "1.1"
根因分析
根因分析器
class RootCauseAnalyzer:
"""根因分析器"""
def __init__(self):
self.analysis_methods = ["5_whys", "fishbone", "fault_tree"]
self.knowledge_base = []
def analyze_root_cause(self, incident: Dict, method: str = "5_whys") -> Dict[str, Any]:
"""分析根因"""
if method not in self.analysis_methods:
return {"error": f"Unknown method: {method}"}
if method == "5_whys":
return self._five_whys_analysis(incident)
elif method == "fishbone":
return self._fishbone_analysis(incident)
elif method == "fault_tree":
return self._fault_tree_analysis(incident)
return {}
def _five_whys_analysis(self, incident: Dict) -> Dict[str, Any]:
"""5个为什么分析"""
analysis = {
"method": "5_whys",
"incident_id": incident.get("id", ""),
"whys": [],
"root_cause": None,
"contributing_factors": [],
"recommendations": []
}
# 模拟5个为什么分析
whys = [
{
"why": 1,
"question": "为什么系统出现了故障？",
"answer": "模型推理服务不可用",
"evidence": "健康检查失败"
},
{
"why": 2,
"question": "为什么模型推理服务不可用？",
"answer": "GPU内存溢出",
"evidence": "内存使用率100%"
},
{
"why": 3,
"question": "为什么GPU内存会溢出？",
"answer": "请求量突增",
"evidence": "请求量增加300%"
},
{
"why": 4,
"question": "为什么请求量会突增？",
"answer": "营销活动导致流量激增",
"evidence": "活动时间与流量激增时间吻合"
},
{
"why": 5,
"question": "为什么没有预见到流量激增？",
"answer": "缺乏容量规划和监控",
"evidence": "没有自动扩缩容策略"
}
]
analysis["whys"] = whys
analysis["root_cause"] = "缺乏容量规划和监控机制"
analysis["contributing_factors"] = [
"营销活动沟通不畅",
"自动扩缩容策略缺失",
"监控告警阈值设置不当"
]
analysis["recommendations"] = [
"建立容量规划流程",
"实施自动扩缩容",
"优化监控告警策略",
"加强跨部门沟通"
]
return analysis
def _fishbone_analysis(self, incident: Dict) -> Dict[str, Any]:
"""鱼骨图分析"""
analysis = {
"method": "fishbone",
"incident_id": incident.get("id", ""),
"categories": {
"people": [],
"process": [],
"technology": [],
"environment": [],
"measurement": [],
"materials": []
},
"root_cause": None
}
# 模拟鱼骨图分析
analysis["categories"]["people"] = [
"运维人员经验不足",
"值班响应不及时"
]
analysis["categories"]["process"] = [
"变更管理流程缺失",
"容量规划流程不完善"
]
analysis["categories"]["technology"] = [
"监控系统覆盖不全",
"自动扩缩容机制缺失"
]
analysis["categories"]["environment"] = [
"生产环境配置不一致",
"网络延迟影响"
]
analysis["categories"]["measurement"] = [
"性能基线未建立",
"告警阈值设置不当"
]
analysis["categories"]["materials"] = [
"文档不完整",
"工具链不统一"
]
analysis["root_cause"] = "流程和技术机制不完善"
return analysis
def _fault_tree_analysis(self, incident: Dict) -> Dict[str, Any]:
"""故障树分析"""
analysis = {
"method": "fault_tree",
"incident_id": incident.get("id", ""),
"top_event": "系统故障",
"gate_type": "AND",
"basic_events": [],
"intermediate_events": [],
"minimal_cut_sets": []
}
# 模拟故障树分析
analysis["intermediate_events"] = [
{
"event": "服务不可用",
"gate_type": "OR",
"inputs": ["GPU故障", "内存溢出", "网络中断"]
},
{
"event": "资源耗尽",
"gate_type": "AND",
"inputs": ["高负载", "资源限制"]
}
]
analysis["basic_events"] = [
"GPU硬件故障",
"内存泄漏",
"网络设备故障",
"流量突增",
"配置错误",
"软件缺陷"
]
analysis["minimal_cut_sets"] = [
["GPU硬件故障"],
["内存泄漏", "高负载"],
["网络设备故障"],
["流量突增", "资源限制"]
]
analysis["root_cause"] = "多因素共同作用导致系统故障"
return analysis
def correlate_events(self, incidents: List[Dict]) -> List[Dict]:
"""关联事件"""
correlations = []
# 时间关联
time_correlations = self._correlate_by_time(incidents)
correlations.extend(time_correlations)
# 服务关联
service_correlations = self._correlate_by_service(incidents)
correlations.extend(service_correlations)
# 根因关联
root_cause_correlations = self._correlate_by_root_cause(incidents)
correlations.extend(root_cause_correlations)
return correlations
def _correlate_by_time(self, incidents: List[Dict]) -> List[Dict]:
"""按时间关联"""
correlations = []
# 按时间排序
sorted_incidents = sorted(incidents, key=lambda x: x.get("detected_at", ""))
for i in range(len(sorted_incidents) - 1):
current = sorted_incidents[i]
next_incident = sorted_incidents[i + 1]
current_time = datetime.fromisoformat(current.get("detected_at", ""))
next_time = datetime.fromisoformat(next_incident.get("detected_at", ""))
time_diff = next_time - current_time
if time_diff < timedelta(minutes=30):
correlations.append({
"type": "time_correlation",
"incidents": [current["id"], next_incident["id"]],
"time_difference": str(time_diff),
"strength": "strong" if time_diff < timedelta(minutes=5) else "medium"
})
return correlations
def _correlate_by_service(self, incidents: List[Dict]) -> List[Dict]:
"""按服务关联"""
correlations = []
service_incidents = {}
for incident in incidents:
for service in incident.get("affected_services", []):
if service not in service_incidents:
service_incidents[service] = []
service_incidents[service].append(incident["id"])
for service, incident_ids in service_incidents.items():
if len(incident_ids) > 1:
correlations.append({
"type": "service_correlation",
"service": service,
"incidents": incident_ids,
"count": len(incident_ids)
})
return correlations
def _correlate_by_root_cause(self, incidents: List[Dict]) -> List[Dict]:
"""按根因关联"""
correlations = []
root_cause_incidents = {}
for incident in incidents:
root_cause = incident.get("root_cause")
if root_cause:
if root_cause not in root_cause_incidents:
root_cause_incidents[root_cause] = []
root_cause_incidents[root_cause].append(incident["id"])
for root_cause, incident_ids in root_cause_incidents.items():
if len(incident_ids) > 1:
correlations.append({
"type": "root_cause_correlation",
"root_cause": root_cause,
"incidents": incident_ids,
"count": len(incident_ids)
})
return correlations
事后复原
复原管理器
class PostIncidentRecovery:
"""事后复原"""
def __init__(self):
self.recovery_plans = []
self.recovery_actions = []
self.verification_checks = []
def create_recovery_plan(self, incident: Dict) -> str:
"""创建复原计划"""
plan_id = f"REC-{incident.get('id', 'UNKNOWN')}"
recovery_plan = {
"id": plan_id,
"incident_id": incident.get("id", ""),
"recovery_objectives": self._define_recovery_objectives(incident),
"recovery_steps": self._define_recovery_steps(incident),
"verification_criteria": self._define_verification_criteria(incident),
"rollback_procedures": self._define_rollback_procedures(incident),
"communication_plan": self._define_communication_plan(incident),
"created_at": datetime.now().isoformat(),
"status": "created"
}
self.recovery_plans.append(recovery_plan)
return plan_id
def _define_recovery_objectives(self, incident: Dict) -> Dict[str, Any]:
"""定义复原目标"""
return {
"rto": "4 hours", # 恢复时间目标
"rpo": "1 hour", # 恢复点目标
"service_level": "99.9%",
"data_integrity": "100%"
}
def _define_recovery_steps(self, incident: Dict) -> List[Dict]:
"""定义复原步骤"""
steps = [
{
"order": 1,
"action": "验证根本原因已解决",
"owner": "运维团队",
"estimated_time": "30 minutes",
"dependencies": []
},
{
"order": 2,
"action": "恢复服务配置",
"owner": "开发团队",
"estimated_time": "1 hour",
"dependencies": ["step_1"]
},
{
"order": 3,
"action": "执行数据完整性检查",
"owner": "数据团队",
"estimated_time": "2 hours",
"dependencies": ["step_2"]
},
{
"order": 4,
"action": "进行功能验证测试",
"owner": "QA团队",
"estimated_time": "1 hour",
"dependencies": ["step_3"]
},
{
"order": 5,
"action": "逐步恢复流量",
"owner": "运维团队",
"estimated_time": "30 minutes",
"dependencies": ["step_4"]
}
]
return steps
def _define_verification_criteria(self, incident: Dict) -> List[str]:
"""定义验证标准"""
return [
"所有健康检查通过",
"性能指标恢复正常",
"错误率低于阈值",
"用户反馈正常",
"监控告警解除"
]
def _define_rollback_procedures(self, incident: Dict) -> List[Dict]:
"""定义回滚程序"""
return [
{
"trigger": "恢复失败",
"action": "回滚到上一个稳定版本",
"steps": [
"停止新版本服务",
"恢复旧版本配置",
"重启服务",
"验证回滚成功"
]
},
{
"trigger": "数据不一致",
"action": "从备份恢复数据",
"steps": [
"识别数据不一致范围",
"选择恢复点",
"执行数据恢复",
"验证数据完整性"
]
}
]
def _define_communication_plan(self, incident: Dict) -> Dict[str, Any]:
"""定义通信计划"""
return {
"internal_communication": {
"team_notifications": True,
"management_updates": "Every 30 minutes",
"status_page_updates": "Every 15 minutes"
},
"external_communication": {
"customer_notifications": True,
"partner_notifications": True,
"public_updates": "Every hour"
}
}
def execute_recovery(self, plan_id: str) -> Dict[str, Any]:
"""执行复原"""
plan = self._get_recovery_plan(plan_id)
if not plan:
return {"error": "Recovery plan not found"}
execution = {
"plan_id": plan_id,
"started_at": datetime.now().isoformat(),
"steps_completed": [],
"steps_failed": [],
"status": "running"
}
for step in plan.get("recovery_steps", []):
try:
result = self._execute_recovery_step(step)
execution["steps_completed"].append({
"step": step,
"result": result,
"completed_at": datetime.now().isoformat()
})
except Exception as e:
execution["steps_failed"].append({
"step": step,
"error": str(e),
"failed_at": datetime.now().isoformat()
})
execution["status"] = "failed"
break
if execution["status"] != "failed":
execution["status"] = "completed"
execution["completed_at"] = datetime.now().isoformat()
return execution
def _get_recovery_plan(self, plan_id: str) -> Optional[Dict]:
"""获取复原计划"""
for plan in self.recovery_plans:
if plan["id"] == plan_id:
return plan
return None
def _execute_recovery_step(self, step: Dict) -> Dict[str, Any]:
"""执行复原步骤"""
# 模拟执行
return {
"status": "success",
"action": step.get("action", ""),
"completed_at": datetime.now().isoformat()
}
def verify_recovery(self, plan_id: str) -> Dict[str, Any]:
"""验证复原"""
plan = self._get_recovery_plan(plan_id)
if not plan:
return {"error": "Recovery plan not found"}
verification_results = []
for criterion in plan.get("verification_criteria", []):
result = self._verify_criterion(criterion)
verification_results.append({
"criterion": criterion,
"passed": result,
"verified_at": datetime.now().isoformat()
})
all_passed = all(r["passed"] for r in verification_results)
return {
"plan_id": plan_id,
"verification_results": verification_results,
"all_passed": all_passed,
"verified_at": datetime.now().isoformat()
}
def _verify_criterion(self, criterion: str) -> bool:
"""验证标准"""
# 模拟验证
return True
def generate_recovery_report(self, plan_id: str) -> Dict[str, Any]:
"""生成复原报告"""
plan = self._get_recovery_plan(plan_id)
if not plan:
return {"error": "Recovery plan not found"}
report = {
"incident_id": plan.get("incident_id", ""),
"recovery_plan_id": plan_id,
"recovery_objectives": plan.get("recovery_objectives", {}),
"recovery_steps": plan.get("recovery_steps", []),
"verification_results": self.verify_recovery(plan_id),
"recovery_duration": self._calculate_recovery_duration(plan),
"lessons_learned": self._extract_lessons_learned(plan),
"recommendations": self._generate_recommendations(plan)
}
return report
def _calculate_recovery_duration(self, plan: Dict) -> str:
"""计算复原持续时间"""
# 简化实现
return "2 hours 30 minutes"
def _extract_lessons_learned(self, plan: Dict) -> List[str]:
"""提取经验教训"""
return [
"建立更完善的监控机制",
"优化应急预案",
"加强团队培训",
"改进沟通流程"
]
def _generate_recommendations(self, plan: Dict) -> List[Dict]:
"""生成建议"""
return [
{
"category": "prevention",
"recommendation": "加强容量规划和监控",
"priority": "high",
"timeline": "1 month"
},
{
"category": "process",
"recommendation": "优化事件响应流程",
"priority": "medium",
"timeline": "2 weeks"
},
{
"category": "training",
"recommendation": "加强团队技能培训",
"priority": "medium",
"timeline": "1 month"
}
]
事件响应工具集成
工具管理器
class IncidentResponseTools:
"""事件响应工具"""
def __init__(self):
self.tools = {
"monitoring": MonitoringTool(),
"communication": CommunicationTool(),
"documentation": DocumentationTool(),
"automation": AutomationTool()
}
def get_monitoring_data(self, incident_id: str) -> Dict[str, Any]:
"""获取监控数据"""
return self.tools["monitoring"].get_incident_metrics(incident_id)
def send_notifications(self, incident: Dict, recipients: List[str]):
"""发送通知"""
self.tools["communication"].send_incident_notifications(incident, recipients)
def document_incident(self, incident: Dict) -> str:
"""记录事件"""
return self.tools["documentation"].create_incident_report(incident)
def automate_response(self, incident: Dict, actions: List[str]):
"""自动化响应"""
return self.tools["automation"].execute_actions(incident, actions)
class MonitoringTool:
"""监控工具"""
def get_incident_metrics(self, incident_id: str) -> Dict[str, Any]:
"""获取事件指标"""
return {
"incident_id": incident_id,
"metrics": {},
"logs": [],
"traces": []
}
class CommunicationTool:
"""通信工具"""
def send_incident_notifications(self, incident: Dict, recipients: List[str]):
"""发送事件通知"""
for recipient in recipients:
self._send_notification(incident, recipient)
def _send_notification(self, incident: Dict, recipient: str):
"""发送通知"""
print(f"Sending notification to {recipient} about incident {incident.get('id', '')}")
class DocumentationTool:
"""文档工具"""
def create_incident_report(self, incident: Dict) -> str:
"""创建事件报告"""
return f"Incident Report for {incident.get('id', '')}"
class AutomationTool:
"""自动化工具"""
def execute_actions(self, incident: Dict, actions: List[str]) -> Dict[str, Any]:
"""执行操作"""
results = []
for action in actions:
result = self._execute_action(incident, action)
results.append(result)
return {"actions": results}
def _execute_action(self, incident: Dict, action: str) -> Dict[str, Any]:
"""执行操作"""
return {"action": action, "status": "success"}
总结
LLM事件响应是确保系统稳定性和可靠性的关键流程。通过建立完善的应急预案、实施系统化的根因分析和执行彻底的事后复原，组织可以快速应对各种事件，最小化业务影响，并从事件中持续改进。结合自动化工具和最佳实践，可以大幅提升事件响应效率和效果。