- Introduced AGENTS.md, README.md, TASKS.md, and implementation_plan.md for Vexer, detailing mission, responsibilities, key components, and operational notes. - Established similar documentation structure for Vulnerability Explorer and Zastava modules, including their respective workflows, integrations, and observability notes. - Created risk scoring profiles documentation outlining the core workflow, factor model, governance, and deliverables. - Ensured all modules adhere to the Aggregation-Only Contract and maintain determinism and provenance in outputs.
		
			
				
	
	
	
		
			4.3 KiB
		
	
	
	
	
	
	
	
			
		
		
	
	
			4.3 KiB
		
	
	
	
	
	
	
	
Implementation plan — Source & Job Orchestrator
Delivery phases
- Phase 1 – Core service & job ledger
 Implement source registry, run/job tables, queue abstraction, lease management, token-bucket rate limiting, watchdogs, and API primitives (/sources,/runs,/jobs).
- Phase 2 – Worker SDK & artifact registry
 Embed worker SDK in Conseiller, Excititor, SBOM, Policy Engine; capture artifact metadata + hashes, enforce idempotency, publish progress/metrics.
- Phase 3 – Observability & dashboard
 Ship metrics, traces, incident logging, SSE/WebSocket feeds, and Console dashboard (DAG/timeline, heatmaps, error clustering, SLO burn rate).
- Phase 4 – Controls & resilience
 Deliver pause/resume/throttle/retry/backfill tooling, dead-letter review, circuit breakers, blackouts, backpressure handling, and automation hooks.
- Phase 5 – Offline & compliance
 Generate deterministic audit bundles (jobs.jsonl,history.jsonl,throttles.jsonl), provenance manifests, and offline replay scripts.
Work breakdown
- Service & persistence
- Postgres schema (sources,runs,jobs,artifacts,dag_edges,quotas,schedules,incidents).
- Lease manager with heartbeats, retries, and dead-letter queues.
- Token-bucket rate limiter per {tenant, source.host}; adaptive refill on upstream throttles.
- Watermark/backfill orchestration for event-time windows.
 
- Postgres schema (
- Worker SDK
- Claim/heartbeat/report contract, deterministic artifact hashing, idempotency enforcement.
- Library release for .NET workers plus language bindings for Rust/Go ingestion agents.
 
- Control plane APIs
- CRUD for sources, runs, jobs, quotas, schedules; control actions (retry, cancel, prioritize, pause/resume, backfill).
- SSE/WebSocket stream for Console updates.
 
- Observability
- Metrics: queue depth, job latency, failure classes, rate-limit hits, burn rate.
- Error clustering (HTTP 429/5xx, schema mismatch, parse errors), incident logging with reason codes.
- Gantt timeline and DAG JSON for Console visualisation.
 
- Console & CLI
- Console app sections: overview, sources, runs, job detail, incidents, throttles.
- CLI commands: stella orchestrator sources|runs|jobs|throttle|backfill.
 
- Compliance & offline
- Immutable audit bundles with signatures; exports via Export Center; Offline Kit instructions.
- Tenant isolation validation and secret redaction for logs/UI.
 
Acceptance criteria
- Orchestrator schedules all advisory/VEX/SBOM/policy jobs with quotas, rate limits, and idempotency; retries and replay preserve provenance.
- Console dashboard reflects real-time DAG status, queue depth, SLO burn rate, and allows pause/resume/throttle/backfill with audit trail.
- Worker SDK integrated across producer services, emitting progress and artifact metadata.
- Observability stack exposes metrics, logs, traces, incidents, and alerts for stuck jobs, throttling, and failure spikes.
- Offline audit bundles reproduce job history deterministically and verify signatures.
Risks & mitigations
- Backpressure/queue overload: adaptive token buckets, circuit breakers, dynamic concurrency; degrade gracefully.
- Upstream vendor throttles: throttle management with user-visible state, automatic jitter and retry.
- Tenant leakage: enforce tenant filters at API/queue/storage, fuzz tests, redaction.
- Complex DAG errors: built-in diagnostics, error clustering, partial replay tooling.
- Operator error: confirmation prompts, RBAC, runbook guidance, reason codes logged.
Test strategy
- Unit: scheduling, quota enforcement, lease renewals, token bucket, watermark arithmetic.
- Integration: worker SDK with Conseiller/Excititor/SBOM pipelines, pause/resume/backfill flows, failure recovery.
- Performance: high-volume job workloads, queue backpressure, concurrency caps, dashboard SSE load tests.
- Chaos: simulate upstream outages, stuck workers, clock skew, Postgres failover.
- Compliance: audit bundle generation, signature verification, offline replay.
Definition of done
- All phases delivered with telemetry, dashboards, and runbooks published.
- Console + CLI parity validated; Offline Kit instructions complete.
- ./TASKS.md and ../../TASKS.md updated with status; documentation (README/architecture/this plan) reflects latest behaviour.