Troubleshoot streaming data pipelines directly from APM with Datadog Data Streams Monitoring
Blog post from Datadog
Datadog Data Streams Monitoring (DSM) is an advanced tool that helps optimize event-driven applications using streaming data pipelines such as Kafka or RabbitMQ. DSM provides end-to-end visibility from data ingestion to processing and output, enabling users to detect issues quickly, scale flexibly, analyze complex events, and troubleshoot problems in real-time. The integration of DSM with Application Performance Monitoring (APM) allows for a high-level overview of streaming data dependencies, investigation without workflow disruption, and identification of performance issues such as blocked messages, offline consumers, and high-latency queues. This integration helps users quickly pinpoint the root cause of performance issues and improve application performance.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Real-time | 11 | 2,578 | 595 | 180 | +16% |
| Data Pipeline | 1 | 548 | 136 | 63 | +19% |