Unified API gateway built on Next.js API routes with tRPC or GraphQL Yoga, providing typed contracts generated from upstream ERP/CRM/PIM/payments specs via Zod and codegen. Event-driven sync through Inngest handles real-time data flow with retry logic and dead letter queues, while Supabase manages integration state and Redis provides edge-level caching with TTL-based invalidation. Full observability via correlation IDs, structured logging, and Sentry integration traces every request across system boundaries.
How do you handle schema changes in upstream systems like SAP or Salesforce?
Every integration boundary uses Zod validation schemas that catch structural changes at runtime before they propagate. We generate TypeScript types from upstream API specs, so schema drift surfaces as build-time errors. The gateway's transformation functions isolate upstream changes from downstream consumers — your frontend never sees a raw ERP response.
GraphQL or REST — how do you decide which to use for each integration?
GraphQL for relational, read-heavy queries where frontend teams need flexible data fetching — product catalogs, customer profiles, content aggregation. REST for transactional writes that need idempotency — payment captures, order submissions, webhook receivers. Most enterprise projects use both, unified behind a single typed gateway that abstracts the protocol choice from frontend consumers.
What happens when an upstream system goes down?
The gateway implements circuit breakers and graceful degradation per integration. Cached data keeps serving reads with staleness indicators. Event queues buffer writes with automatic retry and dead letter handling. Observability dashboards surface the outage immediately with clear impact scope. We define degradation strategies during architecture design — so your site stays functional even when SAP's offline.
How do you ensure data consistency across ERP, CRM, and PIM systems?
We establish clear system-of-record ownership for every data entity — pricing lives in the ERP, product descriptions in the PIM, customer records in the CRM. The gateway enforces these ownership rules. Event-driven sync keeps downstream mirrors fresh within seconds. Conflict resolution rules get defined during the architecture phase and enforced programmatically, not left to manual reconciliation.
Can this integration layer support our existing frontend or does it require a rebuild?
The gateway exposes standard GraphQL and REST endpoints, so any frontend can consume it — Next.js, React, Vue, even legacy server-rendered applications. We typically start by connecting the gateway to your existing frontend while building new Next.js pages in parallel. Migration is incremental. You don't need a full rebuild to get clean, typed API access to your backend systems.
What does observability look like across the integration layer?
Every request gets a correlation ID that traces through the gateway to each upstream system call. We log response times, payload sizes, and error rates per integration. Custom dashboards show data freshness — how stale is your product pricing, how long since the last CRM sync. Alerts trigger on sync lag thresholds, error rate spikes, and upstream latency degradation, with runbooks for each scenario.
How long does a typical enterprise integration architecture project take?
Eleven to eighteen weeks from audit to production handoff, depending on the number of systems and transformation complexity. The first typed APIs are available to your frontend team within six weeks. We phase delivery so your team starts building against real data early — not waiting on a big-bang integration launch.
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