Datadog Data Streams Monitoring

Top Features

• Detect slowdowns anywhere in your event-driven applications

  - Measure latency between any two points throughout your pipeline, including queues, producers, and consumers.
  - Easily identify delayed messages by viewing actionable lag metrics both in seconds and offset.
  - Quickly detect abnormal latency or throughput across your streaming data pipelines by creating threshold, anomaly, and outlier monitors.
  

• Localize and resolve pipeline bottlenecks and failures

  - Easily detect failing dependencies between queues, producers, and consumers with automatic, end-to-end pipeline topology mapping.
  - Triage whether delays are originating from issues with application services or queueing systems, and identify the owning team.
  - Prioritize troubleshooting efforts by impact of delay, with message backup volumes for services and queues.
  

• Remediate floods of backed-up messages

  - Quickly detect and resolve downstream bottlenecks to prevent long lags, message downtime, and delayed messages.
  - Spot where bursts in message flow may be occurring upstream with automated consumer lag notifications for every service.
  - Visually track the flow of messages across all dependent services and queues to ensure you constantly meet your SLAs.
  

• Correlate streaming data pipeline metrics with all telemetry in context

  - Resolve application issues faster by seamlessly pivoting between DSM metrics, distributed traces, infrastructure metrics, and logs.
  - Gain complete pipeline visibility by adding latency and throughput metrics to your Kafka or RabbitMQ integration dashboards.
  - Streamline incident response with quick access to service owners, on-call engineers, and critical resources via Service Catalog.