Complete Observability
for Your Integrations
Gain operational visibility into every data flow with real-time monitoring, retry and replay visibility, flow status and proactive alerting. Track service health, debug issues faster, and maintain peak performance across your entire integration platform.
Real-Time Flow Monitoring
Monitor every integration flow with instant visibility into processing metrics, data volumes and service health.
- Live flow execution metrics
- Processing throughput and latency tracking
- Data volume and payload monitoring
- Service health and availability status
- Performance trending and analytics
- Custom metric collection and visualization
Retry & Replay Visibility
Complete visibility into retry attempts and replay operations with detailed tracking and recovery controls.
- Automatic retry with exponential backoff
- Manual event replay from historical data
- Detailed retry attempt history and logs
- Dead-letter queue (DLQ) management
- Replay filtering and execution control
- Recovery time objective (RTO) tracking
Proactive Alerting & Notifications
Get ahead of issues with intelligent alerting, thresholds and integrations with your existing tools.
- Built-in alert rules and templates
- Custom threshold configuration
- Multi-channel notifications (email, Slack, PagerDuty)
- Alert routing and escalation policies
- Alert deduplication and grouping
- Integration with Prometheus and Grafana dashboards
Common Use Cases
Typical observability scenarios and integration patterns for maintaining reliable services at scale.
Production Monitoring
Track live integrations in production with real-time metrics, latency analysis and performance trending to ensure reliability.
Issue Detection & Response
Detect anomalies and failures instantly with proactive alerts that route to the right teams for faster incident response.
Performance Optimization
Identify bottlenecks and optimize integration flows based on detailed latency and throughput metrics across all services.
Compliance & Audit Trails
Maintain complete audit logs of all data flows and operations for regulatory compliance and troubleshooting.
Data Recovery
Quickly recover from failures with event replay capabilities and detailed logs of what data was processed and when.
Team Collaboration
Share observability data with your team through dashboards, alerts and historical logs for better cross-functional troubleshooting.
Observability Stack Integration
Integrates seamlessly with industry-standard monitoring and observability tools to extend visibility across your entire infrastructure.
Prometheus Integration
Export metrics to Prometheus for long-term storage and advanced querying of flow performance and system health metrics.
Grafana Dashboards
Visualize observability data with pre-built and custom Grafana dashboards for real-time monitoring and historical analysis.
Structured Logging
All events logged with structured formats for easy parsing, filtering and analysis in your preferred logging solution.
Distributed Tracing
Track request flows across services with correlation IDs and detailed trace information for end-to-end observability.
Metrics Aggregation
Automatic collection and aggregation of metrics from all flows, services and operations for comprehensive platform visibility.
Key Metrics Tracked
Comprehensive metrics collected and monitored across all integration flows for complete operational insight.
- Flow execution count and success rate
- End-to-end processing latency
- Throughput (messages/events per second)
- Error rates and failure categories
- Retry attempt counts and success rates
- Queue depth and backlog monitoring
- Service availability and uptime
- Resource utilization (CPU, memory, I/O)
- Database query performance
- API response times and status codes
- Alert triggering and resolution times
- Data loss and completeness metrics
Observability Best Practices
Follow industry best practices for monitoring, alerting and troubleshooting integration platforms.
- Define meaningful alerts based on business KPIs
- Set up redundant monitoring to avoid alert fatigue
- Implement tiered alerting with appropriate escalation
- Use correlation IDs for tracing requests across systems
- Retain logs and metrics for compliance periods
- Establish clear runbooks for common alerts
- Monitor the monitors - alert on monitoring system health
- Use sampling for high-volume metrics to manage costs
- Implement service-level objectives (SLOs)
- Create dashboards for different roles (ops, dev, exec)
- Regularly review and tune alert thresholds
- Automate incident response where possible
Frequently Asked Questions
What metrics does the observability platform track?
How long are logs and metrics retained?
Can I integrate with Prometheus and Grafana?
What alerting channels are supported?
How do I troubleshoot a failed flow?
Is there support for custom metrics?
How do you handle high-volume monitoring?
Can I set up alerts based on business logic?
Performance Benefits
Comprehensive observability provides tangible benefits to your operations and business.
Faster Mean Time to Resolution (MTTR)
Detailed metrics and logs reduce investigation time from hours to minutes, minimizing business impact.
Proactive Issue Prevention
Early warning signs detected through anomaly detection prevent failures before they impact users.
Optimized Performance
Data-driven insights identify bottlenecks and inefficiencies for continuous optimization.
Reduced False Alarms
Intelligent alerting with baseline learning and correlation reduces alert fatigue for ops teams.
Better Capacity Planning
Trending metrics and forecasting help plan infrastructure growth before hitting limits.
Gain Complete Visibility Into Your Integrations
Start monitoring your integration platform today and unlock insights that drive reliability, performance and business value.