Datadog Apache Spark Monitoring

Monitor Your Events Stream in Real Time

Analyze in real time the lifecycle of the processes spun up to transform data
Optimize the performance of all your applications running data manipulations with both APM and the Live Process view
Identify individual database queries causing application latency or downtime in seconds
Ensure optimal ETL performance with a comprehensive view into your infrastructure and application health

Immediately receive alerts when jobs have failed or are still running beyond the expected completion time with out-of-the-box alerts from Data Jobs Monitoring
Quickly analyze your data platform’s reliability and estimated costs with real-time dashboards to identify trends and anomalies in job performance
Get full context to troubleshoot faster— drill down to see the full execution flow (i.e., job, stages, and tasks) and where it failed
Lower compute costs by identifying overprovisioned clusters and changing the number of worker nodes and instance types

Develop a wholistic understanding of your data usage and workloads with 800+ vendor-backed integrations including Oracle, Hadoop, Hive, Cassandra, AWS Kinesis, and Apache Spark
Gain critical insights into performance with customizable, drag-and-drop dashboards available out-of-the-box for all of Datadog’s integrations
Monitor the health of all your on-premise servers, cloud services, containers, databases, applications, and more in one place

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

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
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

Track all key service-level indicator metrics in real time with Datadog, including availability, response times, reliability, error rates, and throughput
Monitor all aspects of your data architecture from the slow queries to the back-end storage, all within in a single platform
Easily identify bottlenecks, errors, heavy workloads, slow-running queries, and more with end-to-end application tracing, latency breakdowns, and stack traces