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Repeated-run comparison
Argus compares whether structural behavior remains visible under identical execution conditions.
Observe
Observe Hidden Execution Uncertainty.
Argus is an execution observatory designed to reveal structural variability, hidden waiting, recomputation, interference, and execution-path variance.
It focuses on runtime behavior that ordinary dashboards often fail to expose.
Positioning
Argus is not a generic monitoring tool.
Argus records whether structural execution behavior changes remain repeatedly observable under identical conditions. It is built around reproducible observation records rather than surface-level system status.
What Argus reveals
Signals that sit below ordinary performance summaries.
Structural Signals
Signals that reveal instability in the shape and interaction of execution behavior.
Execution-path variability
Structural instability observation
Interference analysis
Emergent Runtime Effects
Effects that appear when hidden instability becomes observable across repeated runtime windows.
Hidden waiting analysis
Recomputation visibility
Observation view
Argus turns hidden runtime behavior into repeatable observation evidence.
The goal is not to show a surface dashboard. The goal is to reveal whether execution structure can be observed again under the same conditions.
repeated-run comparisontrace overlay + instability heatmap
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run/02
run/03
overlay
overlay
Interference overlays
Runtime interference is treated as an observable signal, not only as aggregate system status.
heatmap
Instability heatmaps
Queue pressure, hidden waiting, and recomputation regions become visible as structured evidence.
Observation record
Argus outputs evidence packages.
metrics.json
Machine-readable metrics covering latency, throughput, memory, retries, invalidation events, and reliability dimensions.
report.md
A reproducible observation report documenting what changed — and what remained stable — under identical execution conditions.
run_meta.json
Runtime context including seeds, repeat counts, workload parameters, environmental noise, and execution metadata.
Measured dimensions
P95 latencyP99 latencyThroughputMigration countRetry countInvalidation countError ratePeak memoryExecution VarianceRetry AmplificationRecomputation RatioMigration PropagationStructural Stability Score