📱 Application performance monitoring provides real-time visibility into application health, performance, and user experience. Our AI-powered platform uses machine learning for anomaly detection and root cause analysis.
Implement comprehensive APM with distributed tracing across microservices, real user monitoring (RUM), and synthetic monitoring. Track response times, error rates, throughput, and Apdex scores with full-stack observability from frontend to database. Support containerized and serverless architectures with automatic instrumentation and service map generation.
From code-level profiling to user journey tracking, our platform delivers complete application observability. Deploy with custom dashboards, intelligent alerting, and AI-driven insights to optimize performance and resolve issues before users are impacted.
Distributed Tracing
- End-to-End Traces
- Microservices Tracking
- Span Analysis
- Service Dependencies
- Trace Sampling
Metrics & KPIs
- Response Time
- Error Rates
- Throughput (RPM)
- Apdex Score
- Resource Utilization
Real User Monitoring
- Page Load Times
- User Sessions
- JavaScript Errors
- Geographic Distribution
- Browser/Device Breakdown
Synthetic Monitoring
- API Checks
- Browser Testing
- Multi-Step Transactions
- Global Locations
- Alerting & SLA
Code Profiling
- Method-Level Tracing
- Database Queries
- External Calls
- Memory Profiling
- CPU Profiling
Service Topology
- Service Maps
- Dependency Graphs
- Health Status
- Traffic Flow
- Auto-Discovery