Operational Event Stream Capture
One ordered log of everything that happened.
Ingests timestamped operational events from any instrumented source — systems, sensors, user actions, channel messages — into an append-only ordered log. Downstream consumers (real-time dashboards, postmortems, analytics, alerting) all read from the same canonical record, so nothing is lost and any point in history is replayable.
Shape
Operational dimensions
Runs without a person in the path.
Always running.
Light state; replaceable any time.
Consumes external data; does not write back.
Inputs
- Instrumented event sources (system APIs, sensors, webhook endpoints, log agents)
- Event schema per source type
- Source identifier and timestamp authority config
- Backpressure / replay window configuration
Outputs
- Append-only ordered event log with source attribution
- Subscribable event stream for downstream real-time consumers
- Replayable event history (point-in-time reconstruction)
- Source health and ingestion lag metrics
Mechanism
Ingests discrete timestamped operational events from instrumented sources (systems, sensors, actor actions, channels) into an append-only event log with ordering, source attribution, and replay.
Why this is a primitive
Cannot be decomposed — the receive-timestamp-attribute-append operation against a continuous event stream is one operation. Distinct from stream-monitoring (no relevance filter — events are captured as-of; filtering is downstream). Distinct from document-intake (events are structured at source, not parsed from artefacts). Distinct from notice-what-worked telemetry-feedback-loops (capture is upstream of any analysis loop — same mechanism whether the consumer is real-time ops, postmortem, or analytics). The append-only log with ordering and provenance is irreducible.
Where it shows up
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