Integrating Workflow Observability via OpenMetrics

DBOS has introduced metrics for durable workflows, enabling users to integrate these into their observability stacks using DBOS Conductor, with compatibility for Prometheus/OpenMetrics endpoints. This allows monitoring of application workflows, steps, and executors in tools like Datadog, Prometheus, and Grafana by scraping metrics through an authenticated GET request with a Conductor API key. Users can monitor various aspects such as workflow throughput, queue health, latency, step outcomes, and executor status, with metrics labeled by application and workflow details for analysis and aggregation. The system supports custom alerting rules using PromQL, allowing alerts based on workflow conditions. Available on DBOS Teams plans, users can access these features with DBOS Python ≥2.23.0 or DBOS TypeScript ≥4.19.0 by generating an API key and configuring their monitoring systems accordingly.