Aggregate metrics hide exactly the customer who is about to churn. Adding a tenant label to everything is the obvious fix and it is also how you get a cardinality explosion that takes down the monitoring before it takes down the platform.
Forty deployments, and the platform median looks fine while three customers are having their worst week. Design the metrics pipeline.
Aggregate metrics hide exactly the customer who is about to churn. Adding a tenant label to everything is the obvious fix and it is also how you get a cardinality explosion that takes down the monitoring before it takes down the platform.
Updated Aug 2026 · Grounded in real Forward Deployed Engineer interview loops and written to a senior-engineer editorial bar.
The senior signal is recognising that per-tenant visibility and metric cardinality are in direct tension, and pricing that tension rather than picking a side. The reserve probe is what happens when tenant count grows tenfold: a design that multiplies every series by tenant works at forty and dies at four hundred, and a candidate who has run this has an opinion about which metrics get the label. Strong answers alert on any-tenant-breaching rather than on the aggregate, and separate cheap always-on counters from expensive per-request detail. Watch for anyone who labels histograms per tenant without noticing that each bucket is its own series.
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