Observability dashboards let you compose Foundry telemetry into custom, reusable views built from Workshop widgets. Rather than inspecting each resource one at a time, you can assemble the signals that matter for a workflow onto a single page and lay them out to match how your team operates.
Today, observability dashboards are built with the Observability Chart widget, which plots a resource's metrics over time. Additional observability widgets are in development.
How observability dashboards differ from AIP observability
AIP observability provides built-in metrics, distributed tracing, execution history, and logs, embedded throughout the platform in applications such as Workflow Lineage, Ontology Manager, and more. These capabilities are available out of the box and require no configuration.
Observability dashboards draw on the same underlying signals, but you build them yourself in Workshop: choose the resources and metrics that matter and arrange them on a page as desired.
Build a dashboard
The Observability Chart widget plots the metrics of a single resource—such as execution counts, P95 duration, CPU, and memory—over a time range. Because it is a standard Workshop widget, you can:
Add several Observability Chart widgets to a single Workshop module, each charting a different action, function, or compute module.
Bind their start and end times to shared timestamp variables, so selecting a range on one chart re-scopes every widget bound to the same variables.
Arrange them alongside other widgets using Workshop's layout tools to reflect the structure of your workflow.
The result is a custom observability dashboard that lets operators assess the health of every charted resource in a workflow from a single page. See the Observability Chart widget page for configuration details.