E-Commerce & BIPROVEN ARCHITECTURE • Gapalyze Technologies
Gapalyze: Scaling Real-Time Amazon SP-API Analytics & Profit Tracking Engine
Real-time Amazon business intelligence, FBA profit tracking, and PPC analytics dashboard processing over $120M in annualized GMV.
CLIENTGapalyze Technologies
INDUSTRYE-Commerce & BI
PRIMARY STACKRuby on Rails
VERIFIED RESULT340% increase in ingestion speed
SYSTEM ARCHITECTURE OVERVIEW
Gapalyze Technologies
Ruby on RailsFastAPIPostgreSQL
DEEP-DIVE ANALYSIS
The Engineering Journey
CHALLENGE • ARCHITECTURE • OUTCOME
The Challenge
STAGE 01Scale barriers, latency degradation, and operational overhead.
Amazon third-party sellers managing thousands of SKUs across North America and Europe generate millions of advertising clicks, orders, refunds, and FBA fee changes every hour.
- Data Ingestion Bottlenecks: Amazon's Selling Partner API (SP-API) enforces strict rate limits and batch reporting delays.
- Complex Profit Reconciliation: Calculating true net margin required accounting for real-time PPC spend, dynamic currency exchanges, storage fees, and returns.
- Slow Dashboard Loading: Multi-tenant aggregations over multi-million row tables resulted in 12+ second page load times.
The Architectural Solution
STAGE 02Distributed pipelines, modular services, and sub-second execution.
Throughout Technologies architected a distributed event-driven data pipeline:
- Declarative Postgres Partitioning: Monthly range-partitioned tables for order events and PPC telemetry.
- Parallel Sidekiq Worker Pools: 100+ sharded background workers processing hourly SP-API reports with rate-limiting backoff.
- Redis Materialized Aggregations: Caching SKU-level profit metrics in Redis for instant <100ms dashboard queries.
- Automated PPC Bidding Engine: Python microservice running algorithmic bid adjustments based on target ACoS.
ENGINEERING DELIVERABLES
Key Features & Architectural Capabilities
Real-Time Multi-Marketplace P&L Dashboard
Automated SP-API Ingestion & Token Rotation
Algorithmic PPC Bid Optimizer with Target ACoS Rules
Instant Restock & Inventory Velocity Alerts
Exportable Accounting Reports (QuickBooks & Xero Compatible)
PRODUCTION TECH STACK
Technologies & Toolchain
ZERO TECHNICAL DEBT • ENTERPRISE GRADE
R
Ruby on RailsP
Python FastAPIP
PostgreSQLR
Redis SidekiqA
AWS LambdaN
Next.jsQUANTIFIABLE METRICS
Measurable Business Impact
IMPACT 01
340% Faster Data Ingestion
Reduced hourly SP-API sync latency from 45 mins to under 10 mins.
IMPACT 02
$120M+ GMV Tracked
Platform currently analyzes gross merchandise volume for top Amazon aggregators.
IMPACT 03
99.98% System Uptime
Zero downtime during peak Prime Day and Q4 holiday traffic spikes.
“Throughout Technologies built the foundation that allows Gapalyze to handle enterprise-tier data volumes effortlessly. Their architectural mastery in Rails and Postgres is unmatched.”
David Vance
Chief Technology Officer, Gapalyze
Build high-throughput architecture with Throughout Technologies.
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