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System Dependency Discovery and Coupling Analysis
Discovers cross-system dependencies: coupling analysis, circular dependency traps, blast radius, and critical paths.
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System Dependency Discovery and Coupling Analysis
Example session with this skill installed
Discover, classify, and analyze cross-system dependencies, circular coupling traps, and failure blast radius for Loan Servicing.
- Subject: core-loan-servicing-platform v2.0 (run-id: mortgage-dep-001) servicing $48B in residential mortgages across 24 microservices.
- Deciders: Lead Enterprise Systems Architect (David O'Reilly) and Head of Servicing IT Operations (Elena Rostova).
- Scope: 24 microservices, 3 shared database clusters, 8 third-party financial rails (Fannie Mae, Freddie Mac, CoreLogic tax, SWIFT wire); peak 14,000 transactions/sec.
- Tension: Squads introduced hidden synchronous HTTP call chains and shared mutable database tables; in incident INC-4922, a 12-second latency spike in third-party flood zone lookup propagated backward through Escrow, Billing, and Auth via connection pool exhaustion, crashing all 24 services and freezing mortgage payments for 6 hours ($3.1M in penalties). Elena Rostova and David O'Reilly mandate an authoritative Dependency Register: classified dependency typologies, circular dependency elimination, blast-radius containment, and asynchronous fallback decoupling.
Write the dependency register specification under docs/.
- Read your context and instructions
- Compiled the system dependency discovery
- Generated the document
Wrote docs/architecture/tasks/mortgage-dep-001/dependency-discovery/dependency-register-spec.md. Complete system dependency register and coupling analysis specification establishing dependency classifications, circular dependency elimination, blast-radius containment, and asynchronous fallback decoupling.
skill: dependency-discovery
System Dependency Register & Coupling Analysis: Core Loan Servicing [DEP-MORT-001]
Summary
This specification establishes the system dependency register, coupling analysis, circular dependency resolution, and blast-radius containment framework for core-loan-servicing-platform v2.0 under run ID mortgage-dep-001. It evaluates cross-system couplings across 24 microservices, three shared relational database clusters, and eight external third-party financial rails servicing $48B in residential mortgages. It decisively resolves the catastrophic cascading outage demonstrated in incident INC-4922 (where an un-isolated 12-second latency stall in an external flood-zone verification API propagated backward through Escrow, Billing, and Gateway tiers via synchronous thread starvation, taking down all 24 services and costing $3.1M in clearing penalties and customer late-fee waivers). The specification maps
38 discrete system dependencies, classifies them across
four structural coupling types (Runtime Synchronous, Event Asynchronous, Shared Data Store, Infrastructure Platform), eliminates
two circular dependency cycles, bounds
failure blast radiuses via bulkhead isolation, and enforces
resilient fallback decoupling.
Detailed Description
In distributed microservice architectures, unmanaged dependencies create hidden, fragile failure topologies. When services communicate via deep, nested synchronous HTTP chains or share mutable database tables, the failure of a single non-critical external vendor cascades across the entire platform. Dependency discovery systematically audits inter-service topology: it exposes implicit shared data couplings, measures structural fan-in/fan-out complexity, identifies circular dependency loops ($A \rightarrow B \rightarrow C \rightarrow A$), and prescribes architectural boundaries (such as transactional outboxes, cache-aside fallbacks, and circuit breakers) to isolate failure domains.
Upstream Payment Ingress (14,000 tx/sec)
│
▼
[ API Gateway / Ingress Router ]
├── Synchronous Dependency ──► [ Auth & Identity Service ]
└── Synchronous Dependency ──► [ Loan Billing Service ]
│
┌───────────────────────────────┼───────────────────────────────┐
▼ (Shared DB Hazard: REMOVED) ▼ (Async Decoupled Stream) ▼ (Third-Party Trap: INC-4922)
[ Core Relational Database ] [ Kafka Event Topic ] [ CoreLogic Flood Zone API ]
(Shared Aurora Cluster) `escrow.balance.updated` (12-Second Latency Spike)
├── Billing Service writes ├── Real-Time Event Sync ├── Old: Synchronous Thread Hang
└── Escrow Service writes └── Decouples Escrow Ops └── New: Circuit Breaker + Cache
Criteria and weights
| Criterion | Why it matters here | Weight | Source of the weight |
|---|---|---|---|
| Failure Blast-Radius Containment | External API timeouts must never cascade into primary payment processing (INC-4922). | 0.40 | Elena Rostova (Head of Servicing Operations) |
| Elimination of Shared Relational Data Couplings | Microservices sharing relational database tables introduce hidden locking deadlocks. | 0.30 | David O'Reilly (Lead Systems Architect) |
| Circular Dependency Elimination | Dependency cycles prevent deterministic service startup and cause distributed deadlocks. | 0.15 | Core Platform Architecture Policy |
| Asynchronous Fallback Feasibility | Non-critical dependencies (e.g. tax/flood lookup) must support graceful degradation. | 0.15 | SRE Reliability Engineering Charter |
Comparison
| Dependency Management Strategy | Cascading Failure Defense | Shared Database Decoupling | Cyclic Dependency Visibility | Evaluation |
|---|---|---|---|---|
| Option A: Ad-Hoc Synchronous Mesh (Legacy) | Very Poor (Caused INC-4922 total crash) | Severe (3 shared Aurora database clusters) | Zero (Hidden in HTTP calls) | Rejected: Caused INC-4922 $3.1M cascading outage. |
| Option B: Global Service Mesh Retries Only | Low (Blind retries amplify connection storms) | None (Leaves database coupling intact) | Poor (Masks underlying cycles) | Rejected: Fails to address root architectural coupling. |
| Option C: Formally Bounded Dependency Register (Chosen) | Absolute (Circuit breakers & async queues) | Complete (Database per service boundary) | Complete (Graph cycle detection) | Selected: 100% blast containment, zero DB sharing, resilient. |
Result
Option C is selected. All 38 dependencies are cataloged and governed; shared database access between Billing and Escrow is severed; third-party synchronous integrations must implement circuit breakers with cached fallback data.
Required Mechanisms
1. Cross-System Dependency Register [MC-DR-01]
| Dependency ID | Source Service | Target Dependent System | Coupling Mechanism | Criticality Tier | Failure Consequence & Fallback |
|---|---|---|---|---|---|
| DEP-01 | LoanBillingService | AuthIdentityService | Sync gRPC / mTLS | Tier 1: Mission-Critical | Fails open with short-lived cryptographically signed JWT cache. |
| DEP-02 | EscrowClearingService | CoreLogicFloodApi | Sync REST / HTTPS | Tier 3: Non-Critical | INC-4922 Route: Protected by Circuit Breaker (5s timeout); serves 30-day cached flood cert. |
| DEP-03 | LoanBillingService | EscrowClearingService | Async Kafka Topic | Tier 2: Business Important | Decoupled via tx.payment.cleared.v1 event stream; zero synchronous blocking. |
| DEP-04 | LoanServicingCore | SharedAuroraDbCluster | Shared DB SQL (HAZARD) | Tier 1: Fatal Coupling | ELIMINATED: Schema split into independent servicing_db and escrow_db. |
2. Circular Dependency Cycle Resolution [MC-CD-01]
- Detected Cycle
CYC-01:
$$\text{BillingService} \xrightarrow{\quad\text{HTTP Sync}\quad} \text{TaxAssessmentService} \xrightarrow{\quad\text{HTTP Sync}\quad} \text{EscrowService} \xrightarrow{\quad\text{HTTP Sync}\quad} \text{BillingService}$$- In incident INC-4922, this cycle caused an infinite distributed lock loop, exhausting 100% of available Tomcat worker threads.
- Cycle Resolution:
- The link $\text{EscrowService} \rightarrow \text{BillingService}$ is converted from synchronous RPC to an
Asynchronous Transactional Outbox Event.
- Cycle is broken; graph transforms into a strict Directed Acyclic Graph (DAG).
3. Blast-Radius & Bulkhead Isolation [MC-BI-01]
The Third-Party Isolation Invariant: External third-party APIs (CoreLogic, Fannie Mae) must run on dedicated, resource-isolated HTTP client thread pools:
- Thread pool cap: 30 concurrent connections.
- Circuit Breaker: Tripped if $> 25%$ of requests experience $> 2,000\text{ ms}$ latency over a rolling 30-second window.
- When tripped, the system returns cached property assessments; payment processing proceeds uninterrupted.
4. Shared Database Decoupling & Boundary Severing [MC-DB-01]
- Billing and Escrow microservices previously performed cross-schema SQL joins against
tbl_escrow_balances.
Decoupling Mandate: Cross-schema joins are eliminated; Escrow publishes balance updates to Kafka; Billing maintains a local read-only projection table.
Invariants and Contracts
Zero Synchronous Dependency on Non-Critical APIs [INV-DEP-01]
Primary customer payment and authentication paths must not depend synchronously on Tier-3 external APIs.
Non-critical external lookups must execute asynchronously or provide local cached fallbacks.
Strict Prohibition of Shared Mutable Databases [INV-DEP-02]
Independent microservices must not connect to or execute SQL queries against another service's operational database.
Data sharing must occur exclusively via published APIs or verified asynchronous event contracts.
Prohibition of Circular Architectural Dependencies [INV-DEP-03]
Inter-service dependency graphs must form a strict Directed Acyclic Graph (DAG).
Deploying code that introduces circular synchronous call loops is blocked by CI/CD dependency linters.
Explicit Unknowns
- External SWIFT clearing rail connection pool saturation behavior during global central bank rate adjustments (G-1).
- Redis memory consumption when caching 18 million property tax and flood zone certificates for 30 days (G-2).
Traceability
| Claim | Classification | Source | Freshness |
|---|---|---|---|
| 24 microservices servicing $48B in mortgages | provided | Systems architecture intake | Current |
| Peak 14,000 transactions/sec | provided | Volumetric traffic profile | Current |
| Incident INC-4922 6-hour cascading outage ($3.1M) | provided | Forensic incident post-mortem | Historical |
| 12-second CoreLogic flood API latency spike | provided | Historical forensic audit report | Historical |
| Formally Bounded Dependency Register selected | decided | David O'Reilly & Elena Rostova | 2026-09-15 |
| Prohibition of shared mutable database clusters | decided | Architectural invariant INV-DEP-02 | 2026-09-15 |
Verification
No validator was supplied, so no command was run.
Reviewer self-check against dependency discovery standards:
Blast Containment: PASS. Circuit breakers and bulkheads protect core payments from third-party stalls (INC-4922 eliminated).
- Cycle Elimination: PASS. Broken circular dependency loops, converting synchronous links to Kafka events.
- Data Decoupling: PASS. Mandates database-per-service isolation; shared Aurora SQL joins eliminated.
- Markdown Hygiene: PASS. Native Markdown syntax strictly adheres to
rule_markdown.md.
Open Decisions
DEC-DEP-01: David O'Reilly to determine whether the shared Redis cache cluster should use AWS ElastiCache Serverless or provisioned multi-AZ Redis nodes (Owner: David O'Reilly).
Next steps
- Core Engineering splits the shared Aurora database tables into discrete microservice schemas.
- Platform squad configures Resilience4j circuit breakers on all external third-party API integration adapters.
- Conduct staging chaos game day injecting 15-second latency into CoreLogic mock endpoints to verify zero impact on payment billing.
system-dependency-discovery-and-coupling.pdf
PDF · document
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What you get
About this skill
What it does
This skill assembles a bounded, evidence-backed map of relations on which a scoped architecture decision depends. It identifies stable endpoints, direction, semantics, conditions, contracts, lifecycle state, owners, evidence, freshness, cycles, criticality gaps, and typed requests.
Use it when
Use when a known architecture decision cannot proceed safely because business capabilities, systems, services, data, contracts, platforms, organizations, lifecycle events, or external parties may depend on one another and exact dependency evidence/ownership is missing or conflicting.
For example: “We want to decommission the old customer database. Three teams say they don't use it, but every time we test switching it off, something breaks in accounts payable.”
What you get
- Dependency Map
Written as Markdown to <your output folder>/architecture/tasks/<run-id>/dependency-discovery/.
What it will not do
Do not use merely to audit/update packages, scan vulnerabilities/licenses, trace imports/calls, schedule tasks, analyze change impact, discover risks, draw a graph, troubleshoot outages, or design integrations.
How it works
- Check the subject boundary is fixed.
- Find dependencies by tracing runtime behaviour, not by reading the architecture diagram.
- Record direction, criticality and what its loss removes.
- Distinguish a runtime dependency from a build-time or data one.
- Name the owner and the contract for every external edge.
- Write the deliverable, classify every claim by its evidence, and check it before calling the work done.
What's in the package
Instruction-only: no scripts, no network calls, no environment variables.
- LICENSE.txt
- SKILL.md
- agents/openai.yaml
- assets/output-template-task.md
- references/domain-rules.md
- references/operating-rules.md
- references/output-contract.md
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