How to Monitor Apache DolphinScheduler Using Prometheus and Grafana

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Apache DolphinScheduler, a popular workflow scheduling tool, can silently fail without alerting users, leaving data pipelines stalled and teams unaware until damage is done. A practical monitoring setup integrating DolphinScheduler with Prometheus and Grafana addresses this gap, enabling proactive detection of scheduler issues. The three-component pipeline works by having DolphinScheduler expose metrics via a built-in endpoint, Prometheus scraping and evaluating those metrics against alert rules, and Grafana visualizing the data on dashboards. DolphinScheduler version 2.0.0 and later natively support a Prometheus-compatible metrics endpoint at /actuator/prometheus, requiring no additional plugins. A set of ten production-validated alerting rules can be configured to cover scenarios ranging from complete service outages to runaway workflows.

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Webshot.site Adds MCP Support, Letting AI Agents Capture Web Screenshots Directly

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ProgrammingDEV Community ·

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ProgrammingDEV Community ·

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ProgrammingDEV Community ·

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