System Diagnostics

Identifying the silent killers of enterprise software. Hover over any alert to view the architectural patch.

ERR_DB_001

The "Cartesian Explosion"

Dashboards take 10s to load. Entity Framework joins 15 tables into one massive result set, creating millions of duplicate rows and choking memory.

PATCH APPLIED: SPLIT QUERIES

I implement Server-Side Projections using AsSplitQuery. We flatten hierarchies directly in the SQL engine, reducing load times from 10s to 300ms.

MerchantAdvancedGraphSpecV7.cs > Query.AsSplitQuery().Select(...)
ERR_PERF_N1

The "N+1" Default

The app works with 10 records but crashes with 10,000. ORM lazy-loading triggers thousands of separate SQL queries for a single page view.

PATCH APPLIED: INTELLIGENT SPECS

My data layer is synthesized for performance. The generator detects relationships and builds optimized Includes and Projections automatically.

dddGetListSpecification.cs > Query.Include(c => c.Children)
SEC_AUTH_ZOMBIE

The "Zombie Session" Risk

A fired employee remains logged in for 30 days because their JWT hasn't expired. You disable the account, but the API doesn't check the DB state.

PATCH APPLIED: STAMP VALIDATION

I utilize the Security Stamp Pipeline. Critical actions rotate the stamp, and middleware validates it per request. Access is revoked instantly across all devices.

AdminUserEndpoints.cs > _userManager.UpdateSecurityStampAsync(user)
AI_WARN_HAL

AI "Context Blindness"

Developers paste code into ChatGPT, but it hallucinates APIs because it can't see the whole architecture. It suggests code that breaks hidden dependencies.

PATCH APPLIED: KNOWLEDGE SERVER

I build Cognitive Knowledge Servers (MCP) that feed AI the pre-computed architectural graph (Call Graphs, Dependencies), not just raw text.

CherryPicker/McpServer.cs > DbGetClassContext(className)
AI_ERR_DATA

The "IP Leakage" Panic

Legal blocks AI because they refuse to send source code to cloud vector DBs. You cannot index your codebase without violating sovereignty.

PATCH APPLIED: LOCAL NEURAL

I implement Local Neural Processing. ONNX models run directly on your metal. Code is vectorized and indexed entirely within your firewall.

OnnxEmbeddingService.cs > BertTokenizer.Encode(text)
QA_FAIL_LOAD

"Works on My Machine"

The app runs fine for 1 user. On launch day with 500 users, it crashes. CPU spikes, DB locks up. Scalability was never tested.

PATCH APPLIED: NBOMBER

I integrate Load Testing as Code. CI pipelines must pass a 'Stress Profile' (e.g., 200 concurrent users) before deployment is allowed.

MerchantScenarios.cs > Scenario.Create("stress_test").WithLoadSim(...)
QA_WARN_DATA

The "Fake Data" Trap

Testing with "Test1", "Test2" creates unrealistic DB stats. SQL plans are optimized for simple data but fail against messy production data.

PATCH APPLIED: HIGH FIDELITY

I use Bogus Data Generators to create millions of realistic, high-cardinality records. This forces the DB to generate production-grade execution plans.

MerchantFaker.cs > RuleFor(m => m.Revenue, f => f.Finance.Amount())
BI_ERR_LAG

"Rearview Mirror" Syndrome

Dashboards show what happened last month. Management is surprised by failures because the system offers zero predictive capability.

PATCH APPLIED: PREDICTIVE

I implement Client-Side Predictive Analytics. My systems project future trends (Compliance Forecasts, Risk Trajectories) directly in the dashboard.

ComplianceForecaster.cs > PrepareMultiDimensionalForecast(history)
SEC_AUTH_VIS

Permission Matrix Blindness

"Who can approve transfers over $10k?" You can't answer without digging through code. Security audits become weeks of manual review.

PATCH APPLIED: MATRIX UI

I build a Visual Permission Matrix. Admins can view and toggle granular permissions (Roles vs Actions) in a clear grid. Audits take seconds.

PermissionManagement.razor > MudDataGrid(Permissions vs Roles)