Shipeasy

Flow & dependencies

A live dependency graph of your events, metrics, and alerts — trace what feeds what before you change it.

Production readyOn this page · 4 min readWorks with · Dashboard · per project

Flow is a live graph of how your instrumentation hangs together: events feed metrics, and metrics drive alerts. It lives in the dashboard at /dashboard/<projectId>/flow. Use it to see the blast radius of a change before you make it — which alerts watch a metric, and which event that metric is built on.

Read it left to right: an event is aggregated (agg) into a metric, and an alert rule watches that metric with a comparator, threshold, and window. That's the whole vocabulary — three node types, two edge kinds.

What the graph shows

The graph is assembled server-side from your project's real lists — events, metrics, alert rules, and currently-active alerts — and re-fetched after every write, so it always matches the underlying resources.

The node types and the edges between them describe the data pipeline:

NodeEdge into itWhat the edge means
EventA logged event (or an SDK auto-event like __auto_lcp).
MetricaggThe metric aggregates this event (count, sum(value), p95(value), a ratio of two events, …).
AlertalertAn alert rule watches this metric, with its comparator/threshold/window shown on the edge (e.g. > 200 · 1h).
Status is live

Alert nodes render as firing, armed, or paused. Metric and event nodes are enriched with live analytics — a 7-day sparkline, current value, and period delta on metrics, and a per-day volume on events. Enrichment is cached ~1 hour; the graph structure itself is rebuilt on every view, so newly-created resources appear immediately.

How nodes cluster

Nodes group into clusters. If you use folders, the folder is the cluster. Otherwise Flow auto-clusters by connectivity — each event → metric → alert pipeline becomes its own self-contained band, named after its hub (the highest-degree metric). Unconnected SDK auto-events are hidden until a metric reads them, so the canvas stays clean.

Impact analysis before a change

The point of Flow is to answer "what depends on this?" before you touch a metric or an event.

Find the node

Open Flow and locate the metric or event you're about to change. Drag to rearrange and hover to trace its edges.

Read its downstream edges

Follow the edges out of the node. An alert edge means an alert rule is armed on that metric — renaming the event it aggregates, or changing the metric's query, moves the number the rule is comparing against, and a rule that was quiet can start (or stop) paging.

Check what feeds it

Follow the edges in. A metric's agg edge names the exact event and aggregation it reads — so you know which event you must keep emitting.

Changing an upstream resource ripples

If you stop logging an event, every metric with an agg edge from it goes blank, and every alert downstream of those metrics loses its data. Trace the chain in Flow first — the edges show you exactly which resources to update together.

Building from a node

Flow isn't read-only. From a node you can spin up the next resource in the pipeline — add an SDK auto-event from the top-bar catalog (which also creates the metric that reads it), or create a downstream alert rule that's pre-attached to a metric. The new resource is created against the same folder and shows up in the graph on the next reload.

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Updated August 9, 2026✎ Edit this page

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