Commercial Pattern
Absence & Silence Detection
Continuously verify that expected signals and artifacts are still present.
This commercial pattern transforms knowledge of expected system behavior into continuous absence detection.
Commercial pattern snapshot
- Silence as signal
- Expected vs observed
- Early detection
The problem
Failures often begin with silence.
A metric stops emitting. A log stream disappears. A backup file is missing. A webhook no longer fires.
Absence is easy to miss.
The Opscotch approach
Define expected signals and continuously:
- Query artifact inventories
- Compare expected vs observed
- Detect missing presence
- Track absence duration
The workflow treats silence as a signal.
Expected presence becomes verifiable rather than assumed.
Detect missing signals before they escalate into incidents.
About commercial patterns
Commercial Patterns show how to turn automation logic into licensed, deployable products. They are not prebuilt solutions - they are implementation blueprints. Opscotch provides the runtime, packaging, and commercial enforcement layer. You build the product.
Where this creates leverage
Silence as signal
Treat absence of data as a reliability indicator.
Expected vs observed
Continuously verify that required artifacts exist.
Early detection
Surface quiet failures before impact grows.
Why sell this as a product?
- Increase trust in system completeness
- Detect silent failures early
- Reduce incident impact
- Codify operational vigilance
What you implement
- Expected artifact lists
- API queries
- Presence comparison logic
- Duration tracking
How the workflow operates
Expected artifacts
Current state
Missing items
Absence alert
Why This Is a Pattern, Not a Package
This pattern is intentionally not prebuilt.
Expected artifacts vary by toolchain, architecture, and reliability philosophy.
Silence thresholds differ across contexts.
Opscotch provides the detection engine. You define what absence means.