Event ledger
A service model for infrastructure event tracking: treat every meaningful change as a ledger entry your application analytics can reconstruct later — not a scatter of unrelated alerts.
What the ledger expects
We design analytics around ordered entries: who emitted the event, what changed, which correlation key ties it to a journey, and whether the trail is complete enough for a postmortem.
Events must arrive
Producers, agents, and platform hooks are inventoried. Silent drops and clock skew are named as gaps, not ignored.
Entries must join
Types and correlation keys survive renames. Human labels stay as properties; join fields stay stable.
Incidents must reconstruct
Exports align into an ordered sequence. Missing instrumentation is documented instead of invented.
Operators must scan
Monthly packs narrate what stabilised, what spiked, and what remains unmeasured — short enough for on-call.