Datadog Monitoring

Proactively Detect Issues with Failure Data and Sync Persistence Metrics

Discover bottlenecks within data integration workflows; easily analyze jobs by completion status, time spent running, sources of failure and more
Reduce failure rates where issues and resource contention exist within your workflows
Gain insights into the number of attempts made to save synchronization states, the amount of data awaiting commitment to storage, and the final successful data flush

Collect real-time, granular metric insights into job performance, nodes and partitioning
Create detailed visualizations on data integration jobs in seconds with out-of-the-box, drag-and-drop dashboards
Get vital insights into the health of your APIs, databases, data warehouses, data lakes, and file systems with 850+ vendor backed integrations
Monitor Your Airbyte instances with the rest of your stack without switching platforms

Easily verify that your streaming architecture is highly available through dashboard reporting, synthetic tests, and App Analytics
Track all key service-level indicator metrics in real time with Datadog, including availability, response times, reliability, error rates, and throughput
Automatically detect unanticipated outliers, anomalies, and errors with Watchdog
Automatically detect unanticipated outliers, anomalies, and errors with Watchdog
Proactively prevent outages and errors by alerting on metric forecasts or specific data thresholds
Eliminate false-positives and receive smarter alerts that account for daily, weekly, and seasonal fluctuations or cascading event failures

Identify critical issues quickly with real-time service maps, AI-powered synthetic monitors, and alerts on inconsistent data, latency, and queue-size metrics
Resolve detected problems faster with infrastructure metrics, distributed request traces, and logs all within one platform
Test hypotheses in seconds by overlaying data pipeline events onto time-synchronized metric graphs
Understand short-term and long-term performance in context with high-granularity metrics and events stored for 15 months or longer