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sfera-new/docs/infrastructure/MONITORING_SETUP.md
Veronika Smirnova 621770e765 docs: создание полной документации системы SFERA (100% покрытие)
## Созданная документация:

### 📊 Бизнес-процессы (100% покрытие):
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- WAREHOUSE_MANAGEMENT_SYSTEM.md - управление складскими операциями

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- UX_PATTERNS.md - пользовательские сценарии и паттерны
- HOOKS_PATTERNS.md - React hooks архитектура
- STATE_MANAGEMENT.md - управление состоянием Apollo + React
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2025-08-22 10:04:00 +03:00

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# Настройка мониторинга и логирования SFERA
## 🎯 Обзор
Комплексная система мониторинга и логирования для платформы SFERA, включающая метрики производительности, логирование ошибок, алертинг и визуализацию данных для обеспечения надежности и производительности в production окружении.
## 📊 Архитектура мониторинга
### Компоненты системы
```mermaid
graph TB
A[SFERA App] --> B[Winston Logger]
A --> C[Prometheus Metrics]
A --> D[OpenTelemetry]
B --> E[Log Files]
B --> F[ELK Stack]
C --> G[Grafana Dashboard]
D --> H[Jaeger Tracing]
I[Alertmanager] --> J[Slack/Email]
G --> I
```
## 🚨 Логирование
### 1. Структурированное логирование с Winston
#### Установка зависимостей
```bash
npm install winston winston-daily-rotate-file
npm install --save-dev @types/winston
```
#### Конфигурация логгера
Создание `src/lib/logger.ts`:
```typescript
import winston from 'winston'
import DailyRotateFile from 'winston-daily-rotate-file'
// Определение уровней логирования
const levels = {
error: 0,
warn: 1,
info: 2,
http: 3,
verbose: 4,
debug: 5,
silly: 6,
}
// Цвета для консольного вывода
const colors = {
error: 'red',
warn: 'yellow',
info: 'green',
http: 'magenta',
verbose: 'white',
debug: 'cyan',
silly: 'grey',
}
winston.addColors(colors)
// Формат для production
const productionFormat = winston.format.combine(
winston.format.timestamp({ format: 'YYYY-MM-DD HH:mm:ss:ms' }),
winston.format.errors({ stack: true }),
winston.format.json(),
)
// Формат для разработки
const developmentFormat = winston.format.combine(
winston.format.timestamp({ format: 'YYYY-MM-DD HH:mm:ss:ms' }),
winston.format.colorize({ all: true }),
winston.format.printf(
(info) => `${info.timestamp} ${info.level}: ${info.message}${info.stack ? '\n' + info.stack : ''}`,
),
)
// Транспорты для production
const productionTransports: winston.transport[] = [
// Консольный вывод
new winston.transports.Console({
level: 'info',
format: productionFormat,
}),
// Ротация логов по дням - общие логи
new DailyRotateFile({
filename: 'logs/application-%DATE%.log',
datePattern: 'YYYY-MM-DD',
zippedArchive: true,
maxSize: '20m',
maxFiles: '14d',
level: 'info',
format: productionFormat,
}),
// Отдельный файл для ошибок
new DailyRotateFile({
filename: 'logs/error-%DATE%.log',
datePattern: 'YYYY-MM-DD',
zippedArchive: true,
maxSize: '20m',
maxFiles: '30d',
level: 'error',
format: productionFormat,
}),
// HTTP запросы
new DailyRotateFile({
filename: 'logs/http-%DATE%.log',
datePattern: 'YYYY-MM-DD',
zippedArchive: true,
maxSize: '20m',
maxFiles: '7d',
level: 'http',
format: productionFormat,
}),
]
// Транспорты для разработки
const developmentTransports: winston.transport[] = [
new winston.transports.Console({
level: 'debug',
format: developmentFormat,
}),
]
// Создание логгера
export const logger = winston.createLogger({
level: process.env.NODE_ENV === 'production' ? 'info' : 'debug',
levels,
format: process.env.NODE_ENV === 'production' ? productionFormat : developmentFormat,
transports: process.env.NODE_ENV === 'production' ? productionTransports : developmentTransports,
exitOnError: false,
})
// Middleware для Express/Next.js
export const loggerMiddleware = (req: any, res: any, next: any) => {
const start = Date.now()
res.on('finish', () => {
const duration = Date.now() - start
logger.http('HTTP Request', {
method: req.method,
url: req.url,
status: res.statusCode,
duration: `${duration}ms`,
userAgent: req.get('User-Agent'),
ip: req.ip,
})
})
next()
}
// Утилиты для логирования
export const logError = (error: Error, context?: object) => {
logger.error('Application Error', {
message: error.message,
stack: error.stack,
...context,
})
}
export const logInfo = (message: string, meta?: object) => {
logger.info(message, meta)
}
export const logWarn = (message: string, meta?: object) => {
logger.warn(message, meta)
}
export const logDebug = (message: string, meta?: object) => {
logger.debug(message, meta)
}
```
### 2. Интеграция с Next.js API
#### API Routes логирование
```typescript
// src/app/api/graphql/route.ts
import { logger } from '@/lib/logger'
export async function POST(request: Request) {
const startTime = Date.now()
try {
logger.info('GraphQL Request Started')
// Основная логика GraphQL
const result = await handleGraphQLRequest(request)
logger.info('GraphQL Request Completed', {
duration: Date.now() - startTime,
success: true,
})
return result
} catch (error) {
logger.error('GraphQL Request Failed', {
duration: Date.now() - startTime,
error: error.message,
stack: error.stack,
})
throw error
}
}
```
#### GraphQL Resolvers логирование
```typescript
// src/graphql/resolvers.ts
import { logger } from '@/lib/logger'
export const resolvers = {
Query: {
getUser: async (parent: any, args: any, context: any) => {
const { userId } = args
logger.info('Getting user', { userId, requestId: context.requestId })
try {
const user = await prisma.user.findUnique({
where: { id: userId },
})
logger.info('User retrieved successfully', { userId })
return user
} catch (error) {
logger.error('Failed to get user', {
userId,
error: error.message,
})
throw error
}
},
},
}
```
## 📈 Метрики и мониторинг
### 1. Prometheus метрики
#### Установка зависимостей
```bash
npm install prom-client
npm install --save-dev @types/prom-client
```
#### Настройка метрик
Создание `src/lib/metrics.ts`:
```typescript
import promClient from 'prom-client'
// Создание реестра метрик
export const register = new promClient.Registry()
// Добавление стандартных метрик
promClient.collectDefaultMetrics({
register,
prefix: 'sfera_',
})
// HTTP запросы
export const httpRequestsTotal = new promClient.Counter({
name: 'sfera_http_requests_total',
help: 'Total number of HTTP requests',
labelNames: ['method', 'route', 'status'],
registers: [register],
})
export const httpRequestDuration = new promClient.Histogram({
name: 'sfera_http_request_duration_seconds',
help: 'Duration of HTTP requests in seconds',
labelNames: ['method', 'route', 'status'],
buckets: [0.005, 0.01, 0.025, 0.05, 0.1, 0.25, 0.5, 1, 2.5, 5, 10],
registers: [register],
})
// GraphQL метрики
export const graphqlOperationsTotal = new promClient.Counter({
name: 'sfera_graphql_operations_total',
help: 'Total number of GraphQL operations',
labelNames: ['operation_name', 'operation_type', 'success'],
registers: [register],
})
export const graphqlOperationDuration = new promClient.Histogram({
name: 'sfera_graphql_operation_duration_seconds',
help: 'Duration of GraphQL operations in seconds',
labelNames: ['operation_name', 'operation_type'],
buckets: [0.001, 0.005, 0.01, 0.025, 0.05, 0.1, 0.25, 0.5, 1, 2.5, 5],
registers: [register],
})
// База данных
export const databaseConnectionsActive = new promClient.Gauge({
name: 'sfera_database_connections_active',
help: 'Number of active database connections',
registers: [register],
})
export const databaseQueryDuration = new promClient.Histogram({
name: 'sfera_database_query_duration_seconds',
help: 'Duration of database queries in seconds',
labelNames: ['query_type'],
buckets: [0.001, 0.005, 0.01, 0.025, 0.05, 0.1, 0.25, 0.5, 1],
registers: [register],
})
// Бизнес метрики
export const usersOnline = new promClient.Gauge({
name: 'sfera_users_online',
help: 'Number of users currently online',
registers: [register],
})
export const ordersTotal = new promClient.Counter({
name: 'sfera_orders_total',
help: 'Total number of orders created',
labelNames: ['organization_type', 'status'],
registers: [register],
})
export const messagesTotal = new promClient.Counter({
name: 'sfera_messages_total',
help: 'Total number of messages sent',
labelNames: ['message_type'],
registers: [register],
})
// Redis/кэш метрики
export const cacheHitsTotal = new promClient.Counter({
name: 'sfera_cache_hits_total',
help: 'Total number of cache hits',
labelNames: ['cache_key_pattern'],
registers: [register],
})
export const cacheMissesTotal = new promClient.Counter({
name: 'sfera_cache_misses_total',
help: 'Total number of cache misses',
labelNames: ['cache_key_pattern'],
registers: [register],
})
// Middleware для сбора HTTP метрик
export const metricsMiddleware = (req: any, res: any, next: any) => {
const start = Date.now()
res.on('finish', () => {
const duration = (Date.now() - start) / 1000
const route = req.route?.path || req.path
httpRequestsTotal.labels(req.method, route, res.statusCode.toString()).inc()
httpRequestDuration.labels(req.method, route, res.statusCode.toString()).observe(duration)
})
next()
}
```
#### API endpoint для метрик
```typescript
// src/app/api/metrics/route.ts
import { NextResponse } from 'next/server'
import { register } from '@/lib/metrics'
export async function GET() {
try {
const metrics = await register.metrics()
return new NextResponse(metrics, {
headers: {
'Content-Type': register.contentType,
},
})
} catch (error) {
return NextResponse.json({ error: 'Failed to generate metrics' }, { status: 500 })
}
}
```
### 2. OpenTelemetry трассировка
#### Установка зависимостей
```bash
npm install @opentelemetry/api @opentelemetry/sdk-node
npm install @opentelemetry/instrumentation-http
npm install @opentelemetry/instrumentation-graphql
npm install @opentelemetry/exporter-jaeger
```
#### Конфигурация трассировки
Создание `src/lib/tracing.ts`:
```typescript
import { NodeSDK } from '@opentelemetry/sdk-node'
import { HttpInstrumentation } from '@opentelemetry/instrumentation-http'
import { GraphQLInstrumentation } from '@opentelemetry/instrumentation-graphql'
import { JaegerExporter } from '@opentelemetry/exporter-jaeger'
import { Resource } from '@opentelemetry/resources'
import { SemanticResourceAttributes } from '@opentelemetry/semantic-conventions'
// Настройка экспортера для Jaeger
const jaegerExporter = new JaegerExporter({
endpoint: process.env.JAEGER_ENDPOINT || 'http://localhost:14268/api/traces',
})
// Настройка SDK
const sdk = new NodeSDK({
resource: new Resource({
[SemanticResourceAttributes.SERVICE_NAME]: 'sfera-app',
[SemanticResourceAttributes.SERVICE_VERSION]: '1.0.0',
}),
traceExporter: jaegerExporter,
instrumentations: [
new HttpInstrumentation({
applyCustomAttributesOnSpan: (span, request, response) => {
span.setAttributes({
'http.request.body.size': request.headers['content-length'] || 0,
'http.response.body.size': response.getHeader('content-length') || 0,
})
},
}),
new GraphQLInstrumentation({
mergeItems: true,
allowValues: true,
}),
],
})
// Инициализация трассировки
if (process.env.NODE_ENV === 'production') {
sdk.start()
console.log('Tracing started successfully')
}
export { sdk }
```
## 📱 Dashboard и визуализация
### 1. Grafana Dashboard конфигурация
#### Docker Compose для мониторинга стека
Создание `docker-compose.monitoring.yml`:
```yaml
version: '3.8'
services:
prometheus:
image: prom/prometheus:latest
container_name: sfera-prometheus
ports:
- '9090:9090'
volumes:
- ./monitoring/prometheus.yml:/etc/prometheus/prometheus.yml
- prometheus_data:/prometheus
command:
- '--config.file=/etc/prometheus/prometheus.yml'
- '--storage.tsdb.path=/prometheus'
- '--web.console.libraries=/etc/prometheus/console_libraries'
- '--web.console.templates=/etc/prometheus/consoles'
- '--web.enable-lifecycle'
restart: unless-stopped
grafana:
image: grafana/grafana:latest
container_name: sfera-grafana
ports:
- '3001:3000'
volumes:
- grafana_data:/var/lib/grafana
- ./monitoring/grafana/provisioning:/etc/grafana/provisioning
- ./monitoring/grafana/dashboards:/etc/grafana/dashboards
environment:
- GF_SECURITY_ADMIN_PASSWORD=admin123
- GF_INSTALL_PLUGINS=grafana-piechart-panel
restart: unless-stopped
jaeger:
image: jaegertracing/all-in-one:latest
container_name: sfera-jaeger
ports:
- '16686:16686'
- '14268:14268'
environment:
- COLLECTOR_OTLP_ENABLED=true
restart: unless-stopped
alertmanager:
image: prom/alertmanager:latest
container_name: sfera-alertmanager
ports:
- '9093:9093'
volumes:
- ./monitoring/alertmanager.yml:/etc/alertmanager/alertmanager.yml
restart: unless-stopped
volumes:
prometheus_data:
grafana_data:
```
#### Prometheus конфигурация
Создание `monitoring/prometheus.yml`:
```yaml
global:
scrape_interval: 15s
evaluation_interval: 15s
rule_files:
- 'rules/*.yml'
alerting:
alertmanagers:
- static_configs:
- targets:
- alertmanager:9093
scrape_configs:
- job_name: 'sfera-app'
static_configs:
- targets: ['host.docker.internal:3000']
metrics_path: '/api/metrics'
scrape_interval: 30s
- job_name: 'prometheus'
static_configs:
- targets: ['localhost:9090']
- job_name: 'node-exporter'
static_configs:
- targets: ['node-exporter:9100']
```
#### Grafana Dashboard JSON
Создание `monitoring/grafana/dashboards/sfera-dashboard.json`:
```json
{
"dashboard": {
"id": null,
"title": "SFERA Application Dashboard",
"tags": ["sfera"],
"timezone": "browser",
"panels": [
{
"id": 1,
"title": "HTTP Request Rate",
"type": "graph",
"targets": [
{
"expr": "rate(sfera_http_requests_total[5m])",
"legendFormat": "{{method}} {{route}}"
}
],
"yAxes": [
{
"label": "Requests/sec",
"min": 0
}
]
},
{
"id": 2,
"title": "Response Time",
"type": "graph",
"targets": [
{
"expr": "histogram_quantile(0.95, rate(sfera_http_request_duration_seconds_bucket[5m]))",
"legendFormat": "95th percentile"
},
{
"expr": "histogram_quantile(0.50, rate(sfera_http_request_duration_seconds_bucket[5m]))",
"legendFormat": "50th percentile"
}
]
},
{
"id": 3,
"title": "GraphQL Operations",
"type": "graph",
"targets": [
{
"expr": "rate(sfera_graphql_operations_total[5m])",
"legendFormat": "{{operation_name}} ({{operation_type}})"
}
]
},
{
"id": 4,
"title": "Database Connections",
"type": "singlestat",
"targets": [
{
"expr": "sfera_database_connections_active",
"legendFormat": "Active Connections"
}
]
},
{
"id": 5,
"title": "Error Rate",
"type": "graph",
"targets": [
{
"expr": "rate(sfera_http_requests_total{status=~\"5..\"}[5m])",
"legendFormat": "5xx Errors"
}
]
},
{
"id": 6,
"title": "Orders Created",
"type": "graph",
"targets": [
{
"expr": "rate(sfera_orders_total[5m])",
"legendFormat": "{{organization_type}}"
}
]
}
],
"time": {
"from": "now-1h",
"to": "now"
},
"refresh": "30s"
}
}
```
### 2. Alerting правила
#### Prometheus правила алертинга
Создание `monitoring/rules/alerts.yml`:
```yaml
groups:
- name: sfera.alerts
rules:
# Высокий уровень ошибок
- alert: HighErrorRate
expr: rate(sfera_http_requests_total{status=~"5.."}[5m]) > 0.1
for: 2m
labels:
severity: critical
annotations:
summary: 'High error rate detected'
description: 'Error rate is {{ $value }} requests/sec'
# Медленные ответы
- alert: HighResponseTime
expr: histogram_quantile(0.95, rate(sfera_http_request_duration_seconds_bucket[5m])) > 1
for: 5m
labels:
severity: warning
annotations:
summary: 'High response time detected'
description: '95th percentile response time is {{ $value }}s'
# Падение приложения
- alert: ApplicationDown
expr: up{job="sfera-app"} == 0
for: 1m
labels:
severity: critical
annotations:
summary: 'Application is down'
description: 'SFERA application is not responding'
# Много активных подключений к БД
- alert: HighDatabaseConnections
expr: sfera_database_connections_active > 50
for: 5m
labels:
severity: warning
annotations:
summary: 'High number of database connections'
description: '{{ $value }} active database connections'
# Мало дискового пространства
- alert: DiskSpaceLow
expr: (node_filesystem_avail_bytes / node_filesystem_size_bytes) * 100 < 10
for: 5m
labels:
severity: critical
annotations:
summary: 'Disk space is low'
description: 'Only {{ $value }}% disk space remaining'
# Высокое использование памяти
- alert: HighMemoryUsage
expr: (1 - (node_memory_MemAvailable_bytes / node_memory_MemTotal_bytes)) * 100 > 90
for: 5m
labels:
severity: warning
annotations:
summary: 'High memory usage'
description: 'Memory usage is {{ $value }}%'
```
#### Alertmanager конфигурация
Создание `monitoring/alertmanager.yml`:
```yaml
global:
smtp_smarthost: 'localhost:587'
smtp_from: 'alerts@sfera.com'
route:
group_by: ['alertname']
group_wait: 10s
group_interval: 10s
repeat_interval: 1h
receiver: 'web.hook'
receivers:
- name: 'web.hook'
slack_configs:
- api_url: 'YOUR_SLACK_WEBHOOK_URL'
channel: '#alerts'
title: 'SFERA Alert'
text: '{{ range .Alerts }}{{ .Annotations.summary }}: {{ .Annotations.description }}{{ end }}'
email_configs:
- to: 'admin@sfera.com'
subject: 'SFERA Alert: {{ .GroupLabels.alertname }}'
body: |
{{ range .Alerts }}
Alert: {{ .Annotations.summary }}
Description: {{ .Annotations.description }}
{{ end }}
inhibit_rules:
- source_match:
severity: 'critical'
target_match:
severity: 'warning'
equal: ['alertname', 'dev', 'instance']
```
## 🔧 Практические примеры использования
### 1. Логирование в компонентах
```typescript
// src/components/orders/order-processing.tsx
import { logger } from '@/lib/logger'
import { ordersTotal } from '@/lib/metrics'
export function OrderProcessor({ orderId }: { orderId: string }) {
const processOrder = async () => {
logger.info('Starting order processing', { orderId })
try {
const result = await processOrderLogic(orderId)
// Инкремент метрики
ordersTotal.labels('SELLER', 'completed').inc()
logger.info('Order processed successfully', {
orderId,
processingTime: result.processingTime
})
return result
} catch (error) {
logger.error('Order processing failed', {
orderId,
error: error.message,
stack: error.stack
})
ordersTotal.labels('SELLER', 'failed').inc()
throw error
}
}
return (
<button onClick={processOrder}>
Process Order
</button>
)
}
```
### 2. Мониторинг GraphQL запросов
```typescript
// src/lib/graphql-monitoring.ts
import { graphqlOperationsTotal, graphqlOperationDuration } from '@/lib/metrics'
import { logger } from '@/lib/logger'
export const graphqlMiddleware = {
requestDidStart() {
return {
didResolveOperation(requestContext: any) {
const { operationName, operation } = requestContext.request
logger.info('GraphQL operation started', {
operationName,
operationType: operation.operation,
})
},
willSendResponse(requestContext: any) {
const { operationName, operation } = requestContext.request
const { errors } = requestContext.response
const success = !errors || errors.length === 0
graphqlOperationsTotal.labels(operationName || 'unknown', operation.operation, success.toString()).inc()
if (errors) {
logger.error('GraphQL operation failed', {
operationName,
errors: errors.map((e) => e.message),
})
}
},
}
},
}
```
### 3. Мониторинг бизнес-метрик
```typescript
// src/hooks/useRealtime.ts
import { usersOnline, messagesTotal } from '@/lib/metrics'
import { logger } from '@/lib/logger'
export const useRealtime = ({ onEvent }: { onEvent: (event: any) => void }) => {
useEffect(() => {
const socket = io()
socket.on('connect', () => {
usersOnline.inc()
logger.info('User connected to realtime', { userId: socket.id })
})
socket.on('disconnect', () => {
usersOnline.dec()
logger.info('User disconnected from realtime', { userId: socket.id })
})
socket.on('message:new', (message) => {
messagesTotal.labels(message.type).inc()
logger.info('New message received', {
messageId: message.id,
conversationId: message.conversationId,
})
onEvent({ type: 'message:new', data: message })
})
return () => socket.disconnect()
}, [onEvent])
}
```
## 🚀 Запуск мониторинга
### 1. Локальная среда
```bash
# Запуск стека мониторинга
docker-compose -f docker-compose.monitoring.yml up -d
# Доступ к сервисам
# Prometheus: http://localhost:9090
# Grafana: http://localhost:3001 (admin/admin123)
# Jaeger: http://localhost:16686
# Alertmanager: http://localhost:9093
```
### 2. Production среда
```bash
# Создание необходимых директорий
mkdir -p monitoring/{grafana/provisioning,rules}
mkdir -p logs
# Установка прав доступа
chmod -R 755 monitoring/
chmod -R 777 logs/
# Запуск с production конфигурацией
docker-compose -f docker-compose.yml -f docker-compose.monitoring.yml up -d
```
## 🎯 Заключение
Система мониторинга и логирования SFERA обеспечивает:
1. **Полную видимость**: Метрики, логи, трассировка
2. **Проактивный мониторинг**: Алерты и уведомления
3. **Производительность**: Мониторинг производительности в реальном времени
4. **Отладка**: Детализированное логирование и трассировка
5. **Бизнес-аналитика**: Метрики по заказам, пользователям, сообщениям
Эта система гарантирует надежность и высокую производительность платформы SFERA в production окружении.