📊 Streaming Observability

Overview

Streaming Observability provides comprehensive visibility into your event-driven architecture. From individual message latency to cluster-wide throughput trends, understand exactly what's happening in your streaming fabric—and why.

Key Capabilities

Real-time Anomaly Detection

Leverage machine learning models trained on your specific workload patterns to identify anomalies before they impact downstream consumers.

• Adaptive baselines — Models continuously learn from your traffic patterns, adjusting for seasonality and growth
• Multi-signal correlation — Combine lag, throughput, error rates, and business metrics for comprehensive anomaly detection
• Early warning system — Get alerted to degradation trends before they become incidents
• Noise reduction — Intelligent alert grouping and suppression to prevent alert fatigue

Lag-based Autoscaling Policies

Automatically scale consumer groups based on consumer lag, ensuring consistent processing times without manual intervention.

• Target lag policies — Define maximum acceptable lag and let the system scale to meet it
• Predictive scaling — Scale proactively based on incoming traffic patterns
• Cost-aware optimization — Balance performance targets with infrastructure costs
• Graceful scale-down — Intelligent cooldown periods to prevent thrashing

Root-cause Analytics

When issues occur, quickly identify the source with automated root-cause analysis that traces problems across the streaming topology.

• Dependency mapping — Visualize producer-consumer relationships and data flow paths
• Impact analysis — Understand which downstream systems are affected by upstream issues
• Historical correlation — Compare current behavior against historical patterns to identify root causes
• Automated diagnostics — One-click troubleshooting runbooks for common issues

Dashboards & Visualization

Purpose-built dashboards for streaming operations provide instant visibility into system health.

Operational Dashboards

• Cluster health — Broker status, partition distribution, replication lag
• Consumer group status — Lag by partition, consumer assignment, rebalance history
• Topic metrics — Messages in/out, byte rates, partition count
• Producer performance — Batch sizes, compression ratios, retry rates

Business Metrics Integration

Correlate technical metrics with business outcomes to understand the real impact of streaming performance.

• Custom metric ingestion via OpenTelemetry
• Business KPI overlays on technical dashboards
• SLA compliance tracking and reporting
• Cost attribution by team, topic, or use case

Alerting & Incident Management

Configurable alerting with intelligent routing ensures the right team is notified at the right time.

• Multi-channel notifications — Slack, PagerDuty, email, webhooks
• Escalation policies — Automatic escalation if alerts are not acknowledged
• Runbook automation — Trigger automated remediation actions
• Incident timeline — Complete audit trail of alerts, actions, and resolutions

Integration Ecosystem

Streaming Observability integrates with your existing monitoring stack.

• Prometheus metrics export
• Grafana dashboard templates
• Datadog, New Relic, and Splunk integrations
• OpenTelemetry-native tracing

Getting Started

Deploy observability agents alongside your streaming infrastructure and start seeing metrics within minutes. Our team can help you design alerting strategies and SLO targets.