In this demo, definity’s embedded AI Assistant performs real root cause analysis inside a Spark environment using rich runtime context collected directly from the pipeline. Instead of speculating, the assistant analyzes actual job execution behavior, data freshness signals, lineage, infrastructure performance, and cost patterns to understand what truly happened.
You will see how an alert is reviewed, how the assistant traces the issue upstream, explains the behavioral drivers behind it, and recommends concrete next steps.
By leveraging definity’s deep runtime profiling and MCP layer, the assistant provides explainable insights that shorten time to resolution and reduce guesswork. This is a practical step toward an agentic data engineering platform, where AI does not just comment on pipelines, but understands them.