Event-Driven Observability Core
Asynchronous telemetry consumption with CorrelationId tracing and resilient monitoring architecture
IVR.OpsMonitoring is the central observability component of IVR 5.0 AI, consuming structured telemetry events published by all Workers through RabbitMQ. Logs, metrics, distributed traces and health events are timestamped, correlated and processed asynchronously, ensuring objective operational evidence and end-to-end traceability.
Observability Capabilities
- Consumption of logs, metrics, traces and health events via RabbitMQ
- End-to-end flow reconstruction using CorrelationId and MessageId
- Monitoring of DLQs, ACK/NACK rates and queue congestion
- Export to Prometheus, Grafana, Elastic and OpenTelemetry
- Horizontal scalability as an independent Worker
Event-Driven Observability Flow
Observability in IVR 5.0 AI follows an asynchronous event-driven model. Each Worker (DDD or INFRA) publishes structured telemetry messages in JSON format, separating header and payload, aligned with the same messaging contracts used for business commands and events.
Telemetry is published to dedicated RabbitMQ exchanges such as ops.logs, ops.metrics, ops.traces, ops.health, ops.failures and ops.messaging, ensuring isolation from business traffic.
Observability is fully decoupled, asynchronous and aligned with the platform messaging architecture.
Telemetry Types and Message Structure
Workers publish structured logs, operational metrics, distributed traces, failure events, health signals and messaging events. All telemetry includes severity, contextual data and correlation identifiers.
The standardized message structure enables OpsMonitoring to interpret events without synchronous calls, preserving isolation between business domains and monitoring infrastructure.
- Structured logs with contextual metadata
- Performance metrics and throughput indicators
- Distributed traces using CorrelationId
- Failure, timeout and DLQ events
Correlation and Flow Reconstruction
Using CorrelationId and MessageId, OpsMonitoring reconstructs end-to-end execution flows across IVR.Client, IVR.Server, RabbitMQ and domain Workers. This enables precise visibility of request lifecycles and processing chains.
Queue monitoring includes DLQs, pending message volume, redelivery rates and absence of consumers, supporting proactive detection of congestion and systemic degradation.
Every operational event can be traced across the distributed ecosystem with measurable consistency.
Resilience, Scalability and External Integration
OpsMonitoring operates as a Worker following Clean Architecture principles. It consumes observability queues like any other Worker and can be horizontally scaled according to telemetry volume.
Because telemetry flows asynchronously, failures in monitoring do not block business processing. Messages can accumulate and be processed later without impacting domain execution.
The observability layer is resilient, horizontally scalable and compliant with modern distributed monitoring standards.