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Solutions Architecture2023
DEPLOYMENT STATUS: SUCCESS
ENTERPRISE DATA WAREHOUSE API
High-throughput GraphQL API wrapping distributed data services for a Fortune 500 retailer.
Lighthouse Score
78
Uptime
99.98%
Avg Latency
25ms
Status
LIVE
01
PROJECT OVERVIEW
High-throughput GraphQL API wrapping distributed data services for a Fortune 500 retailer.
This project showcases our expertise in solutions architecture, delivering a robust solution that exceeds industry standards for performance, reliability, and maintainability.
02
THE CHALLENGE
PROBLEM
A Fortune 500 retailer's data was siloed across 9 systems (Snowflake, Oracle, 3 SaaS tools) with 14 different teams writing bespoke ETL scripts — each inconsistent and unmaintained.
OUTCOME
Built a unified GraphQL federation layer that exposed all 9 sources as one schema, cutting new report development from weeks to hours and eliminating 40,000 lines of ETL scripts.
03
ARCHITECTURE & CODE
federation-gateway.ts
TypeScript
1// Apollo Federation gateway — merges 9 data source subgraphs2const gateway = new ApolloGateway({3 supergraphSdl: new IntrospectAndCompose({4 subgraphs: dataSources.map((ds) => ({5 name: ds.name,6 url: ds.endpoint,7 })),8 }),9 buildService({ url }) {10 // Inject caller identity + request tracing into each subgraph11 return new AuthenticatedDataSource({12 url,13 willSendRequest({ request, context }) {14 request.http?.headers.set(15 "x-caller-id",16 context.userId ?? "anonymous"17 );18 request.http?.headers.set("x-trace-id", context.traceId);19 },20 });21 },22});04
DEPLOYMENT PIPELINE
ci/cd — deploy log
7 PASSED
BUILD COMPLETE
01▸ Validating GraphQL schema federation...
02✓ Schema composition valid — 9 subgraphs merged
03✓ Breaking change detection — 0 breaking changes
04▸ Running resolver integration tests...
05✓ 196 resolver tests passed — all data sources mocked
06▸ Running load test (simulated 500 concurrent queries)...
07✓ P50: 18ms · P95: 42ms · P99: 61ms — within SLA
08▸ Deploying to AWS API Gateway + Lambda...
09✓ Lambda cold start < 200ms (Provisioned Concurrency active)
10✓ CloudWatch alarms configured — error rate threshold: 0.1%
11✓ DataDog APM traces verified across all 9 subgraphs
05
PERFORMANCE AUDIT
lighthouse — performance report
78
LIGHTHOUSE PERFORMANCE
ACCEPTABLE — OPTIMISE BEFORE PROD
LCP — Largest Contentful PaintTime until the largest element is rendered
2.8sIMPROVE
FID — First Input DelayResponsiveness to first user interaction
30msGOOD
CLS — Cumulative Layout ShiftVisual stability during page load
0.07GOOD
TTFB — Time to First ByteServer response time to first byte
240msIMPROVE