Data Jobs Monitoring
Starting at
USD0.07
/ HOST_UNIT_HOURS / Month
Items
1 USER
Detect problematic jobs
Resolve failures & latency
Cost-optimize clusters & jobs
Centralize data pipeline visibility
Datadog Jobs Monitoring
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Instructions:
Click below to provide a few details about your businesses needs. Afterwards, next step to complete your purchase of Datadog Jobs Monitoring will be sent directly to you.How It Works
Datadog Jobs Monitoring (DJM) helps data platform teams and data engineers detect problematic Spark and Databricks jobs anywhere in their data pipelines, remediate failed and long-running jobs faster, and proactively optimize overprovisioned compute resources to reduce costs. Unlike traditional infrastructure monitoring tools, native interfaces, and log analysis, DJM is the only solution that enables teams to drill down into job execution traces at the Spark stage and task level to quickly resolve issues and seamlessly correlate their job telemetry to their cloud infrastructure—in context with the rest of their data stack.