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Data Lineage Tracker

Visualize how experiment data flows through the system

12

Pipeline Nodes

10

Healthy

1

Degraded

12

Active Flows

Data Sources
Client SDK
healthy

JavaScript/React SDK collecting user events and experiment assignments

⚡ 12.5K events/min⏱ < 5ms
Event API Gateway
healthy

REST API endpoint receiving server-side events and third-party integrations

⚡ 8.2K req/min⏱ 12ms avg
Processors
Event Ingestion
healthy

Validates, deduplicates, and enriches incoming events with user context

⚡ 20.7K events/min⏱ 45ms p95
Stream Processor
degraded

Real-time stream processing for experiment assignment and event routing

⚡ 18.3K events/min⏱ 120ms p95
Assignment Engine
healthy

Deterministic variant assignment based on user ID and experiment config

⚡ 15K assignments/min⏱ 8ms avg
Storages
Data Warehouse
healthy

Columnar storage for historical experiment data and aggregated metrics

⚡ 5.2K writes/min⏱ 200ms query avg
Results Cache
healthy

In-memory cache for frequently accessed experiment results and configs

⚡ 45K reads/min⏱ < 1ms
Analyticss
Statistical Engine
healthy

Computes p-values, confidence intervals, and Bayesian posteriors

⚡ 200 computations/min⏱ 850ms avg
ML Pipeline
inactive

Machine learning models for traffic optimization and anomaly detection

⚡ —⏱ —
Outputs
Dashboard API
healthy

Serves experiment results, charts, and real-time metrics to the UI

⚡ 3.5K req/min⏱ 35ms avg
Webhook Dispatcher
healthy

Delivers experiment events to external webhook endpoints

⚡ 120 deliveries/min⏱ 245ms avg
Export Service
healthy

Generates CSV, JSON, and PDF exports of experiment data

⚡ 15 exports/hr⏱ 2.5s avg