RB-001
Database Lock Contention
Broken
Long transaction holding row locks causes concurrent work to wait
Fixed
Reduced transaction scope and corrected transaction design
Work / Engineering case study
RescueBench
A reproducible Laravel production-failure laboratory.
Open SourceLaboratory
01 / Project overview
Intentionally constructed failure modes in a controlled environment.
RescueBench demonstrates the engineering workflow: Reproduce → Observe → Diagnose → Fix → Verify.
Production failures are difficult to study when they are intermittent, environment-specific, concurrency-dependent, or only visible under load. RescueBench intentionally constructs realistic failure modes in a controlled Laravel environment where they can be reproduced, measured, corrected, and verified through automated regression tests.
This is an engineering laboratory, not a production product or SaaS service.
02 / Engineering goal
Demonstrate reproducible failure conditions and investigation methodology.
The project demonstrates:
- Reproducible failure conditions
- Investigation methodology
- Root-cause analysis
- Corrected implementation
- Regression verification
Each scenario provides both broken and fixed implementations, making the failure mechanism and its resolution directly observable rather than theoretically described.
03 / Scenario catalog
Five currently published failure scenarios.
RB-002
Queue Retry / Duplicate Side Effects
Broken
Retry repeats a persisted business side effect
Fixed
Database-backed idempotency prevents duplicate processing
RB-003
Cache Stampede
Broken
Concurrent cache misses trigger repeated expensive work
Fixed
Bounded distributed locking coordinates cache population
RB-004
Slow External API
Broken
Slow synchronous upstream consumes request capacity
Fixed
Bounded timeouts and controlled retry behavior
RB-005
ORM N+1 Query Explosion
Broken
Lazy relationship loading creates excessive database queries
Fixed
Correct eager-loading strategy
04 / Technical profile
Laboratory infrastructure.
FrameworkLaravel
LanguagePHP
DatabasePostgreSQL
Cache / QueueRedis
ContainerDocker
CIGitHub Actions
LicenseMIT
Project StatusPublic engineering reference
05 / Investigation methodology
The RescueBench process.
- 01Reproduce the failureCreate controlled conditions that trigger the failure
- 02Capture observable symptomsMeasure database behavior, queue attempts, cache access, query patterns
- 03Inspect application behaviorExamine application, database, and cache interactions
- 04Determine root causeIdentify the mechanism producing the failure
- 05Implement the smallest correct fixApply targeted correction to address root cause
- 06Verify with automated testsConfirm the fix through regression tests
06 / Example lab results
Controlled measurements from RescueBench scenarios.
Note: These are controlled lab measurements from RescueBench scenarios and are not general performance benchmarks.
RB-002
Queue Retry / Duplicate Side Effects
Broken: duplicate payout persisted
Fixed: idempotent processing prevents duplication
RB-003
Cache Stampede
Broken: 5 expensive computations under concurrency
Fixed: 1–2 computations with controlled locking
RB-004
Slow External API
Broken: approximately 15.7 seconds
Fixed: approximately 1.66 seconds
RB-005
ORM N+1 Query Explosion
Broken: 60 queries
Fixed: 4 queries
07 / Relationship to CryptoPust services
Production Rescue capability demonstration.
RescueBench demonstrates the investigation and correction methodology used in CryptoPust Production Rescue engagements.
The controlled laboratory environment allows failure modes to be studied deliberately rather than under production pressure.
View Production Rescue service08 / Source and inspection
Inspect the implementation directly.
The repository is the available external evidence for this case study.
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