Monitoring & Alerts
Stay informed about your bulk operations, system performance, and critical events with comprehensive monitoring and intelligent alerting systems.
Overview
Monitoring Capabilities
System Monitoring
- Bulk operation status and progress
- System performance metrics
- API integration health
- Data quality monitoring
- User activity tracking
Business Monitoring
- Inventory level alerts
- Price change notifications
- Sales performance tracking
- Profit margin monitoring
- Competitor activity alerts
Alert Configuration
Alert Types
Operational Alerts
{
"alert_types": {
"bulk_operation_failed": {
"severity": "high",
"channels": ["email", "slack", "sms"],
"escalation": "immediate"
},
"bulk_operation_completed": {
"severity": "info",
"channels": ["email", "slack"],
"escalation": "none"
},
"system_performance_degraded": {
"severity": "medium",
"channels": ["email", "slack"],
"escalation": "30_minutes"
}
}
}
Business Alerts
{
"business_alerts": {
"low_inventory": {
"condition": "inventory_quantity < reorder_point",
"severity": "medium",
"frequency": "daily",
"channels": ["email"]
},
"price_anomaly": {
"condition": "price_change > 20% OR competitor_undercut > 15%",
"severity": "high",
"frequency": "immediate",
"channels": ["email", "slack", "webhook"]
},
"profit_margin_drop": {
"condition": "profit_margin < minimum_margin",
"severity": "high",
"frequency": "immediate",
"channels": ["email", "sms"]
}
}
}
Alert Channels
Email Notifications
// Email alert configuration
const emailAlerts = {
smtp_config: {
host: "smtp.company.com",
port: 587,
secure: false,
auth: {
user: "alerts@company.com",
pass: process.env.SMTP_PASSWORD
}
},
templates: {
bulk_operation_failed: {
subject: "🚨 Bulk Operation Failed - {{operation_id}}",
template: "bulk_operation_failed.html",
variables: ["operation_id", "error_message", "affected_products"]
},
low_inventory: {
subject: "📦 Low Inventory Alert - {{product_count}} products",
template: "low_inventory.html",
variables: ["product_count", "products_list", "reorder_suggestions"]
}
},
recipients: {
operations_team: ["ops@company.com", "manager@company.com"],
inventory_team: ["inventory@company.com"],
executives: ["ceo@company.com", "cto@company.com"]
}
};
Slack Integration
// Slack webhook configuration
const slackAlerts = {
webhook_url: process.env.SLACK_WEBHOOK_URL,
channels: {
operations: "#operations",
inventory: "#inventory",
alerts: "#alerts",
executives: "#executive-alerts"
},
message_templates: {
bulk_operation_completed: {
channel: "#operations",
template: {
text: "Bulk operation completed successfully",
attachments: [{
color: "good",
fields: [
{ title: "Operation ID", value: "{{operation_id}}", short: true },
{ title: "Products Updated", value: "{{product_count}}", short: true },
{ title: "Duration", value: "{{duration}}", short: true },
{ title: "Success Rate", value: "{{success_rate}}%", short: true }
]
}]
}
},
price_anomaly: {
channel: "#alerts",
template: {
text: "⚠️ Price anomaly detected",
attachments: [{
color: "warning",
fields: [
{ title: "Product", value: "{{product_title}}", short: false },
{ title: "Current Price", value: "${{current_price}}", short: true },
{ title: "Previous Price", value: "${{previous_price}}", short: true },
{ title: "Change", value: "{{price_change}}%", short: true },
{ title: "Competitor Price", value: "${{competitor_price}}", short: true }
],
actions: [{
type: "button",
text: "View Product",
url: "{{product_url}}"
}]
}]
}
}
}
};
SMS Alerts
// SMS alert configuration for critical events
const smsAlerts = {
provider: "twilio",
config: {
account_sid: process.env.TWILIO_ACCOUNT_SID,
auth_token: process.env.TWILIO_AUTH_TOKEN,
from_number: "+1234567890"
},
recipients: {
on_call: ["+1987654321"],
managers: ["+1555123456", "+1555654321"]
},
triggers: [
"system_down",
"bulk_operation_failed_critical",
"security_breach",
"data_corruption"
]
};
Monitoring Dashboards
Real-time Dashboard
Key Metrics Display
// Dashboard configuration
const dashboardConfig = {
refresh_interval: 30, // seconds
widgets: [
{
type: "metric_card",
title: "Active Bulk Operations",
query: "SELECT COUNT(*) FROM bulk_operations WHERE status = 'running'",
color: "blue"
},
{
type: "metric_card",
title: "Products Updated Today",
query: "SELECT COUNT(*) FROM product_updates WHERE date = CURRENT_DATE",
color: "green"
},
{
type: "chart",
title: "Operation Success Rate",
type: "line",
timeframe: "24h",
query: "SELECT hour, success_rate FROM operation_metrics ORDER BY hour"
},
{
type: "table",
title: "Recent Alerts",
query: "SELECT * FROM alerts WHERE created_at > NOW() - INTERVAL 1 HOUR ORDER BY created_at DESC LIMIT 10"
}
]
};
Performance Monitoring
// System performance tracking
const performanceMonitoring = {
metrics: {
api_response_time: {
threshold: 2000, // milliseconds
alert_on_breach: true,
measurement_interval: 60 // seconds
},
bulk_operation_throughput: {
threshold: 100, // products per minute
alert_on_below: true,
measurement_interval: 300
},
error_rate: {
threshold: 0.05, // 5%
alert_on_above: true,
measurement_interval: 300
},
memory_usage: {
threshold: 0.85, // 85%
alert_on_above: true,
measurement_interval: 60
}
}
};
Historical Analytics
Trend Analysis
-- Query for operation success trends
SELECT
DATE(created_at) as date,
COUNT(*) as total_operations,
SUM(CASE WHEN status = 'completed' THEN 1 ELSE 0 END) as successful_operations,
AVG(duration_minutes) as avg_duration,
AVG(products_processed) as avg_products_processed
FROM bulk_operations
WHERE created_at >= DATE_SUB(NOW(), INTERVAL 30 DAY)
GROUP BY DATE(created_at)
ORDER BY date;
Performance Metrics
// Historical performance analysis
const performanceAnalytics = {
reports: {
weekly_summary: {
schedule: "0 9 * * 1", // Every Monday at 9 AM
metrics: [
"total_operations",
"success_rate",
"average_duration",
"products_processed",
"error_breakdown"
],
recipients: ["operations@company.com"]
},
monthly_trends: {
schedule: "0 9 1 * *", // First day of month at 9 AM
metrics: [
"month_over_month_growth",
"performance_trends",
"capacity_utilization",
"cost_analysis"
],
recipients: ["management@company.com"]
}
}
};
Alert Rules Engine
Rule Configuration
Conditional Alerts
// Complex alert rules
const alertRules = [
{
name: "Inventory Shortage Alert",
condition: `
inventory_quantity < reorder_point
AND status = 'active'
AND NOT tags.includes('discontinued')
`,
actions: [
{
type: "email",
recipients: ["inventory@company.com"],
template: "low_inventory"
},
{
type: "create_task",
assignee: "inventory_manager",
priority: "medium"
}
],
cooldown: 24 * 60 * 60 // 24 hours
},
{
name: "High Value Product Price Drop",
condition: `
price_change < -0.1
AND current_price > 100
AND NOT tags.includes('sale')
`,
actions: [
{
type: "slack",
channel: "#pricing-alerts",
template: "price_drop_alert"
},
{
type: "webhook",
url: "https://api.company.com/pricing/alert",
payload: {
product_id: "{{product_id}}",
old_price: "{{old_price}}",
new_price: "{{new_price}}"
}
}
],
cooldown: 60 * 60 // 1 hour
}
];
Escalation Rules
// Alert escalation configuration
const escalationRules = {
levels: [
{
level: 1,
delay: 0,
channels: ["slack"],
recipients: ["on_call_engineer"]
},
{
level: 2,
delay: 15 * 60, // 15 minutes
channels: ["email", "slack"],
recipients: ["team_lead", "on_call_engineer"]
},
{
level: 3,
delay: 60 * 60, // 1 hour
channels: ["email", "slack", "sms"],
recipients: ["manager", "team_lead", "on_call_engineer"]
}
],
triggers: {
"bulk_operation_failed": {
escalate_after: 5 * 60, // 5 minutes
max_level: 2
},
"system_down": {
escalate_after: 2 * 60, // 2 minutes
max_level: 3
}
}
};
Custom Monitoring
Business Logic Monitoring
Custom Metrics
// Define custom business metrics
const customMetrics = {
profit_margin_health: {
calculation: `
(SUM(price * quantity_sold) - SUM(cost * quantity_sold)) /
SUM(price * quantity_sold) * 100
`,
threshold: 25, // 25% minimum margin
alert_below: true,
frequency: "hourly"
},
inventory_turnover: {
calculation: `
SUM(quantity_sold_30d) / AVG(inventory_quantity)
`,
threshold: 2, // 2x turnover minimum
alert_below: true,
frequency: "daily"
},
price_competitiveness: {
calculation: `
AVG(our_price / competitor_avg_price)
`,
threshold: 1.1, // 10% above competitor average
alert_above: true,
frequency: "daily"
}
};
Anomaly Detection
# Automated anomaly detection
class AnomalyDetector:
def __init__(self):
self.models = {
'sales': IsolationForest(contamination=0.1),
'pricing': LocalOutlierFactor(n_neighbors=20),
'inventory': OneClassSVM(gamma='scale')
}
def detect_anomalies(self, data_type, data):
model = self.models[data_type]
anomalies = model.fit_predict(data)
# Identify specific anomalies
anomaly_indices = np.where(anomalies == -1)[0]
alerts = []
for idx in anomaly_indices:
alert = {
'type': f'{data_type}_anomaly',
'severity': self.calculate_severity(data[idx]),
'data_point': data[idx],
'timestamp': datetime.now(),
'description': self.generate_description(data_type, data[idx])
}
alerts.append(alert)
return alerts
Integration Monitoring
API Health Checks
// Monitor external API integrations
const apiHealthMonitoring = {
endpoints: [
{
name: "ERP System",
url: "https://erp.company.com/api/health",
method: "GET",
timeout: 5000,
expected_status: 200,
check_interval: 60 // seconds
},
{
name: "Analytics API",
url: "https://analytics.company.com/api/status",
method: "GET",
timeout: 3000,
expected_status: 200,
check_interval: 300
}
],
failure_threshold: 3, // consecutive failures before alert
recovery_threshold: 2, // consecutive successes to clear alert
alerts: {
on_failure: {
channels: ["slack", "email"],
recipients: ["devops@company.com"]
},
on_recovery: {
channels: ["slack"],
recipients: ["devops@company.com"]
}
}
};
Alert Management
Alert Suppression
Maintenance Windows
// Suppress alerts during maintenance
const maintenanceWindows = {
scheduled_maintenance: {
start: "2024-06-01T02:00:00Z",
end: "2024-06-01T04:00:00Z",
suppress_alerts: [
"system_performance",
"api_health",
"bulk_operation_delays"
],
notify_before: 30 * 60, // 30 minutes
notify_after: true
},
deployment_window: {
start: "2024-06-01T18:00:00Z",
end: "2024-06-01T19:00:00Z",
suppress_alerts: ["all"],
auto_resume: true
}
};
Alert Deduplication
// Prevent alert spam
const deduplicationRules = {
time_window: 5 * 60, // 5 minutes
grouping_keys: ["alert_type", "product_id", "operation_id"],
max_alerts_per_group: 1,
escalation_threshold: 5, // escalate if same alert repeats 5 times
auto_resolve_after: 24 * 60 * 60 // auto-resolve after 24 hours
};
Alert Analytics
Alert Metrics
-- Alert effectiveness analysis
SELECT
alert_type,
COUNT(*) as total_alerts,
AVG(resolution_time_minutes) as avg_resolution_time,
SUM(CASE WHEN false_positive = true THEN 1 ELSE 0 END) as false_positives,
SUM(CASE WHEN acknowledged = true THEN 1 ELSE 0 END) as acknowledged_alerts
FROM alerts
WHERE created_at >= DATE_SUB(NOW(), INTERVAL 30 DAY)
GROUP BY alert_type
ORDER BY total_alerts DESC;
Performance Optimization
// Optimize alert performance
const alertOptimization = {
review_schedule: "weekly",
metrics: [
"false_positive_rate",
"time_to_acknowledge",
"time_to_resolve",
"alert_fatigue_score"
],
optimization_actions: [
"adjust_thresholds",
"refine_conditions",
"update_escalation_rules",
"improve_documentation"
]
};
Best Practices
Alert Design
- Clear and Actionable: Alerts should clearly indicate what's wrong and what action to take
- Appropriate Severity: Use severity levels consistently and appropriately
- Avoid Alert Fatigue: Don't over-alert; focus on truly important events
- Context Rich: Include relevant context and links to help with resolution
- Test Regularly: Test alert systems regularly to ensure they work when needed
Monitoring Strategy
- Monitor What Matters: Focus on metrics that directly impact business outcomes
- Layered Approach: Use multiple monitoring layers (system, application, business)
- Proactive Monitoring: Monitor leading indicators, not just lagging ones
- Regular Reviews: Regularly review and update monitoring rules and thresholds
- Documentation: Maintain clear documentation for all monitoring and alerting
Next Steps
Enhance your monitoring setup: