Advanced Monitoring
Monitor your AI workflows in real-time with detailed analytics and performance metrics
Complete Visibility
HiveFlow provides comprehensive monitoring and analytics for all your AI workflows. Track performance, costs, errors and usage patterns in real-time.
From individual node execution to complete flow performance, get insights that help you optimize and improve your AI automations.
Monitoring Features
Real-Time Performance
Monitor execution times, throughput and response times for each node and complete flows with live updates.
Error Tracking
Automatic error detection and logging with detailed stack traces and suggested solutions for quick debugging.
Interactive Debugging
Visual debugging tools that allow you to inspect the state of each node, variables, and data flow in real-time.
Smart Alerts
Configurable alert system with anomaly detection, customizable thresholds and multi-channel notifications (email, Slack, webhooks).
Advanced Analytics
Deep analysis of usage patterns, performance optimization, cost analysis and customizable reports with actionable insights.
Monitoring Tools
Main Dashboard
Centralized view with key metrics, flow status and active alerts.
Centralized Logs
Advanced logging system with search, filters and pattern analysis.
Performance Profiler
Detailed performance analysis per node with bottleneck identification.
Error Tracking
Automatic error capture and analysis with complete context and resolution.
Key Metrics
Execution Time
Average, minimum and maximum execution times per node and flow.
Success Rate
Success and failure percentages with detailed error categorization.
Throughput
Number of executions per hour, day and month with trend analysis.
Cost per Execution
Detailed cost breakdown by model, API and resource usage.
Live Dashboard
Performance Chart
Actividad Reciente
Why Advanced Monitoring?
Get complete visibility and total control over your AI workflows
Complete Visibility
Monitor every aspect of your flows with detailed dashboards and real-time metrics.
Continuous Optimization
Identify bottlenecks and optimize performance with data-driven insights.
Reliability
Detect and resolve issues before they affect your users with proactive alerts.