Summary
Benchmark the overhead introduced by interception and diagnostics in the core runtime.
Goal
Measure how much cost the core mutation pipeline adds when interception, audit/history capture, and logging are enabled so that changes in these layers can be tracked over time.
Problem
The core runtime includes several extension and observability paths that can affect execution cost: interceptors, audit/history capture, and logging. Those paths are useful, but they also add overhead that should remain visible as the runtime evolves.
Without benchmark dedicated to interception and diagnostics, it is hard to tell whether change slows down the execution pipeline itself or only the surrounding observability layers.
Scope
Design Expectations
- Observability related overhead should be measured separately from mutation throughput.
- The benchmark should make it clear which diagnostics path is being exercised.
- Interception and logging should be benchmarked with realistic runtime flow rather than isolated toy loops.
- Helper code should stay local to the benchmark project.
- Scenario names should be explicit about what is being measured.
Suggested Measurements
- execution without interceptors versus with interceptors
- execution with audit/history logging enabled
- execution with combined interception and diagnostics
Acceptance Criteria
Non-Goals
- This issue does not change logging or interception semantics
- This issue does not add governance specific diagnostics benchmarks
- This issue does not optimize observability code prematurely
- This issue does not change runtime behavior
Notes
This issue is child of the benchmark umbrella #55.
Summary
Benchmark the overhead introduced by interception and diagnostics in the core runtime.
Goal
Measure how much cost the core mutation pipeline adds when interception, audit/history capture, and logging are enabled so that changes in these layers can be tracked over time.
Problem
The core runtime includes several extension and observability paths that can affect execution cost: interceptors, audit/history capture, and logging. Those paths are useful, but they also add overhead that should remain visible as the runtime evolves.
Without benchmark dedicated to interception and diagnostics, it is hard to tell whether change slows down the execution pipeline itself or only the surrounding observability layers.
Scope
Design Expectations
Suggested Measurements
Acceptance Criteria
Non-Goals
Notes
This issue is child of the benchmark umbrella
#55.