Market operations centerSystem 04 / 10

KRAKEN // VERIFIED CASE STUDY

Distributed Trading Data Platform

Shadow first. Cut over only on evidence.A multi-node data and ML platform combining dual-path market ingestion, analytical storage, experiment tracking, dashboards, alerts, and operator-gated execution.
AI CAPABILITY PLANEResearch intelligence promoted only through lineage, shadow validation, and operator gates
Market streamsCanonical sources
Feature transformsAirflow + dbt
FreqAI researchCandidate models
MLflow gatesLineage + metrics
Operator promotionExecution held
Verified
Model research

Builds candidate signals against sanitized market history.

Curated featuresCandidate model
Verified
Experiment lineage

Records parameters, artifacts, evaluations, and promotion context.

Training runMLflow record
Verified
Shadow validation

Compares research behavior before any execution authority is granted.

Candidate scorePromotion evidence
01 // SYSTEM TOPOLOGY

Connected architecture

Sanitized multi-node analytical and MLOps control plane.

PlatformData planeEdge / externalAuthority / control
01 // Market sources
Market feedStreaming + REST

WHYSupplies external market observations

Verified
02 // Ingestion
Kafka shadowParity candidate

WHYAcquires data without risky cutover

VerifiedSHADOW MODE
03 // Transformation
Airflow + dbtTested transforms

WHYPublishes tested analytical models

Verified
04 // Data plane
WarehouseAnalytical history

WHYPreserves analytical system history

Verified
TimescaleDBTrading time series

WHYPreserves analytical system history

Verified
05 // Observability
SupersetBusiness intelligence

WHYMakes system health and outcomes visible

Verified
GrafanaOperational health

WHYMakes system health and outcomes visible

Verified
06 // Intelligence
FreqAI + MLflowModel lifecycle

WHYDevelops governed model candidates

Verified
GOVERNED OUTCOMEKafka runs beside the canonical REST path for parity checks; transformations are tested before publication; monitoring, BI, training, and trading remain independently operable.Stream → Shadow → Transform → Observe → Train → Gate
KRAKEN— DATA + MLOPS CONTROL PLANE
  1. 1Market feedVerified
  2. 2Kafka shadowVerified
  3. 3Airflow + dbtVerified
  4. 4TimescaleDBVerified
  5. 5GrafanaVerified
  6. 6FreqAI + MLflowVerified
TWO INGESTION PATHS • MODEL LINEAGE • DR RUNBOOKS VERIFIED
LIVE TRADING EXECUTION EXCLUDED

PURPOSEA recruiter-readable visual summary of the detailed topology above; verification labels preserve the boundary between demonstrated, pending, and historical evidence.

02 // PROOF LIBRARY

Evidence gallery

Live pipeline-health telemetry
Claim state: VerifiedArtifact type: Verified runtime captureReviewed: 2026-07-27
Live pipeline-health telemetry

Read-only Grafana view of warehouse freshness, canonical and shadow row volumes, market-series continuity, and an explicitly visible no-data trading boundary.

Open full evidence Kraken private Grafana dashboard; captured through a temporary Viewer account with infrastructure identifiers excluded
Canonical and shadow ingestion DAGs
Claim state: VerifiedArtifact type: Verified runtime captureReviewed: 2026-07-27
Canonical and shadow ingestion DAGs

Live Airflow evidence of the hourly canonical OHLCV pipeline and fifteen-minute Kafka shadow path, including run history and schedule state.

Open full evidence Private Airflow control plane; temporary Viewer account with account identity redacted
FreqAI training lineage
Claim state: VerifiedArtifact type: Verified runtime captureReviewed: 2026-07-27
FreqAI training lineage

One hundred tracked FreqAI experiment runs provide model-training lineage and repeatability evidence.

Open full evidence Private MLflow experiment tracker; host and infrastructure identifiers excluded
Pipeline Health dashboard blueprint
Claim state: VerifiedArtifact type: Repository-derived evidenceReviewed: 2026-07-27
Pipeline Health dashboard blueprint

Seven exported Grafana panels reconstructed without datasource URLs, credentials, hostnames, or live values.

Open full evidence Kraken exported Grafana JSON; not live telemetry
Distributed platform controls
Claim state: HistoricalArtifact type: Historical exportReviewed: 2026-07-27
Distributed platform controls

Sanitized role-based view of shadow ingestion, transformation, observability, model lifecycle, and operator authority.

Open full evidence Kraken audit, deployment, dashboard, and MLOps repository artifacts
Architecture mapAvailable now

Sanitized logical topology with evidence states.

Dashboard / DAGAvailable now

Sanitized repository-derived dashboard or orchestration evidence is included above.

Video / demo clipCapture pending

A short captioned product proof is still required.

Product screenshotAvailable now

Reviewed product-interface evidence is included above.

NEXT CONVERSATIONDiscuss this architecture

Explore how this delivery pattern can be adapted to a governed enterprise deployment.

Contact AlonzoNext: LISTING VIDEO PRO
PRIVATE REVIEW ROOMSensitive evidence stays private

Production endpoints and restricted artifacts remain disconnected until an identity provider and access policy are explicitly configured.