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Monitor Nexset

Monitoring Nexsets in Nexla provides comprehensive visibility into your data processing workflows, enabling you to track performance, identify issues, and optimize your data transformation operations.

Nexset Monitoring Overview​

Nexset monitoring gives you real-time insights into processing performance, data quality, and operational health, allowing you to proactively manage your data processing infrastructure and ensure optimal performance.

Core Monitoring Capabilities​

The Nexset monitoring system provides several key capabilities for operational visibility and performance management.

Performance Monitoring​

Track processing performance and efficiency:

  • Processing Rates: Monitor records processed per second
  • Throughput Metrics: Track data volume processing capacity
  • Resource Utilization: Monitor CPU, memory, and I/O usage
  • Response Times: Track processing latency and response times

Operational Monitoring​

Monitor operational status and health:

  • Status Tracking: Track Nexset operational status
  • Error Monitoring: Identify and track processing errors
  • Data Quality: Monitor data quality metrics and issues
  • Availability: Track uptime and availability metrics

Monitor Nexset Status​

Track the current operational status of your Nexsets.

Status Endpoint​

To check Nexset status:

GET /nexsets/{nexset_id}/status
Check Nexset Status: Request
GET /nexsets/3001/status

Status Response​

The response provides current operational status:

Nexset Status Response
{
  "id": 3001,
  "name": "Customer Data Enrichment",
  "status": "ACTIVE",
  "operational_status": {
    "current_state": "PROCESSING",
    "last_activity": "2023-01-16T16:45:30.000Z",
    "health_score": 95,
    "error_count": 0
  },
  "processing_info": {
    "records_processed": 1500000,
    "current_batch_size": 1000,
    "processing_rate": 2500,
    "queue_depth": 150
  }
}

Monitor Nexset Metrics​

Track comprehensive performance metrics for your Nexsets.

Metrics Endpoint​

To retrieve Nexset performance metrics:

GET /nexsets/{nexset_id}/metrics
Get Nexset Metrics: Request
GET /nexsets/3001/metrics

Metrics Response​

The response provides detailed performance metrics:

Nexset Metrics Response
{
  "id": 3001,
  "name": "Customer Data Enrichment",
  "metrics": {
    "performance": {
      "total_records_processed": 1500000,
      "records_per_second": 2500,
      "average_processing_time": 0.15,
      "peak_processing_rate": 3500
    },
    "quality": {
      "error_rate": 0.02,
      "validation_failures": 300,
      "data_quality_score": 98.5,
      "schema_compliance": 99.8
    },
    "resources": {
      "cpu_utilization": 65.2,
      "memory_usage": 78.5,
      "disk_io_rate": 120.5,
      "network_throughput": 45.8
    },
    "timing": {
      "last_processed": "2023-01-16T16:45:30.000Z",
      "processing_duration": 3600,
      "idle_time": 120,
      "uptime_percentage": 99.7
    }
  }
}

Real-Time Monitoring​

Monitor Nexset performance in real-time for immediate operational awareness.

Real-Time Metrics​

Get current performance indicators:

Real-Time Metrics: Request
GET /nexsets/3001/metrics/realtime

Real-Time Response​

Real-time performance data:

Real-Time Metrics Response
{
  "id": 3001,
  "timestamp": "2023-01-16T16:45:30.000Z",
  "current_metrics": {
    "processing_rate": 2487,
    "queue_depth": 142,
    "error_rate": 0.018,
    "cpu_utilization": 67.3,
    "memory_usage": 79.2
  },
  "trends": {
    "processing_rate_trend": "stable",
    "error_rate_trend": "decreasing",
    "resource_utilization_trend": "stable"
  }
}

Historical Monitoring​

Analyze historical performance data for trend analysis and optimization.

Historical Metrics​

Retrieve historical performance data:

Historical Metrics: Request
GET /nexsets/3001/metrics/history?from=2023-01-01T00:00:00&to=2023-01-16T23:59:59

Historical Response​

Historical performance data:

Historical Metrics Response
{
  "id": 3001,
  "period": {
    "from": "2023-01-01T00:00:00.000Z",
    "to": "2023-01-16T23:59:59.000Z"
  },
  "summary": {
    "total_records": 1500000,
    "average_processing_rate": 2450,
    "total_errors": 300,
    "average_error_rate": 0.02
  },
  "daily_metrics": [
    {
      "date": "2023-01-16",
      "records_processed": 95000,
      "processing_rate": 2500,
      "error_rate": 0.018,
      "uptime_percentage": 99.8
    },
    {
      "date": "2023-01-15",
      "records_processed": 92000,
      "processing_rate": 2480,
      "error_rate": 0.022,
      "uptime_percentage": 99.9
    }
  ]
}

Error Monitoring​

Track and analyze processing errors for quality improvement.

Error Metrics​

Monitor error rates and patterns:

Error Metrics: Request
GET /nexsets/3001/metrics/errors

Error Response​

Detailed error information:

Error Metrics Response
{
  "id": 3001,
  "error_summary": {
    "total_errors": 300,
    "error_rate": 0.02,
    "critical_errors": 5,
    "warning_errors": 45
  },
  "error_categories": [
    {
      "category": "Schema Validation",
      "count": 180,
      "percentage": 60.0,
      "trend": "decreasing"
    },
    {
      "category": "Data Quality",
      "count": 95,
      "percentage": 31.7,
      "trend": "stable"
    },
    {
      "category": "Processing Errors",
      "count": 25,
      "percentage": 8.3,
      "trend": "stable"
    }
  ],
  "recent_errors": [
    {
      "timestamp": "2023-01-16T16:44:15.000Z",
      "error_type": "Schema Validation",
      "error_message": "Field 'customer_id' is required",
      "record_count": 1
    }
  ]
}

CLI Monitoring​

Use the Nexla CLI to monitor Nexsets for efficient command-line operations.

CLI Command Structure​

Basic CLI commands for Nexset monitoring:

nexla nexset status <nexset_id>
nexla nexset metrics <nexset_id>
nexla nexset errors <nexset_id>

CLI Options​

Available CLI options for monitoring:

  • --realtime: Get real-time metrics
  • --history: Get historical metrics
  • --format: Output format (json, table, csv)
  • --period: Time period for historical data

CLI Examples​

Common CLI usage patterns for monitoring:

CLI Monitoring: Examples
# Check Nexset status
nexla nexset status 3001

# Get current metrics
nexla nexset metrics 3001

# Get real-time metrics
nexla nexset metrics 3001 --realtime

# Get error information
nexla nexset errors 3001

Monitoring Dashboards​

Create comprehensive monitoring dashboards for operational visibility.

Dashboard Components​

Key dashboard elements:

  • Status Overview: Current operational status of all Nexsets
  • Performance Metrics: Real-time and historical performance data
  • Error Tracking: Error rates, patterns, and trends
  • Resource Utilization: CPU, memory, and I/O usage
  • Data Quality: Quality metrics and validation results

Alert Configuration​

Configure alerts for proactive monitoring:

  • Performance Alerts: Alert on performance degradation
  • Error Alerts: Alert on error rate increases
  • Resource Alerts: Alert on resource utilization issues
  • Quality Alerts: Alert on data quality problems

Monitoring Best Practices​

To effectively monitor Nexsets in your Nexla platform:

  1. Set Appropriate Thresholds: Configure meaningful alert thresholds
  2. Monitor Trends: Track performance trends over time
  3. Correlate Metrics: Analyze relationships between different metrics
  4. Proactive Monitoring: Use monitoring for proactive issue prevention
  5. Document Procedures: Maintain clear monitoring procedures and responses

Monitoring Workflows​

Implement structured workflows for effective Nexset monitoring.

Daily Monitoring​

Standard daily monitoring workflow:

  1. Status Check: Review operational status of all Nexsets
  2. Performance Review: Analyze performance metrics and trends
  3. Error Analysis: Review and analyze error patterns
  4. Resource Check: Monitor resource utilization and capacity

Incident Response​

Workflow for responding to monitoring alerts:

  1. Alert Detection: Identify and assess monitoring alerts
  2. Impact Assessment: Assess impact on data processing
  3. Root Cause Analysis: Identify root causes of issues
  4. Resolution Implementation: Implement fixes and improvements
  5. Verification: Verify that issues are resolved

Error Handling​

Common monitoring issues and solutions:

  • Data Not Available: Check Nexset accessibility and permissions
  • Metrics Inconsistency: Verify metric collection and reporting
  • Performance Issues: Investigate resource constraints and bottlenecks
  • Alert Fatigue: Optimize alert thresholds and configurations

After monitoring Nexsets, you may need to:

Optimize Performance​

PUT /nexsets/{nexset_id}/config
PUT /nexsets/{nexset_id}/optimize

Troubleshoot Issues​

GET /nexsets/{nexset_id}/logs
GET /nexsets/{nexset_id}/debug

Update Configurations​

PUT /nexsets/{nexset_id}
PUT /nexsets/{nexset_id}/config

View Processing History​

GET /nexsets/{nexset_id}/history
GET /nexsets/{nexset_id}/audit