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Enterprise / Tus sistemas se comunican. Tus datos, no. Nosotros lo resolvemos.
Enterprise Capability

Tus sistemas se comunican. Tus datos, no. Nosotros lo resolvemos.

Si eres director de ingeniería y has heredado integraciones punto a punto que se rompen con cada cambio de esquema, has llegado al límite de una arquitectura parchada.

CTO / VP Engineering / VP Digital at 200-5000 employee company with 3+ backend systems needing unified frontend integration
$75,000 - $300,000
137,000+
listings managed
NAS directory platform with multi-provider data synchronization
91,000+
dynamic pages indexed
Content platform aggregating 3+ data sources per page
30
languages deployed
Korean manufacturer hub with PIM and translation integration
sub-200ms
real-time bid latency
Auction platform coordinating pricing, auth, and payment systems
Lighthouse 95+
performance score
Across all enterprise integration projects
Architecture

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.

Dónde fallan los proyectos empresariales

Here's the thing about most enterprise stacks we inherit -- they're held together with undocumented point-to-point integrations between the ERP, CRM, PIM, and frontend Nobody wrote down how they connect. Nobody drew the map. So when a developer in Atlanta updates a field name in SAP, a Shopify storefront in production starts throwing 500 errors at 2am, and your team spends four hours figuring out which of the six systems actually broke first. That's the cascading failure problem. And it's not rare -- it's basically the default state of any stack that's grown organically over three or four years without a dedicated integration layer. The real kicker is there's no debugging path. You're just... guessing. Checking logs in five different systems, correlating timestamps manually, hoping someone remembers why that webhook exists. We've seen revenue-impacting outages drag on for six-plus hours simply because nobody could answer "where does this data actually come from?"
Batch sync jobs running on cron schedules are quietly killing conversions Your product pricing, inventory levels, and customer data can be hours -- sometimes days -- out of date on customer-facing pages. And honestly, that gap costs real money. A customer in Chicago sees a price that expired yesterday, buys it, and now you've got a support ticket, a margin problem, and a refund to process. We've seen stale inventory data alone generate hundreds of tickets a month on mid-size catalogs. Cron-based sync felt reasonable in 2015. In practice, it just doesn't hold up anymore.
No observability across integration boundaries means when something looks wrong on the frontend, nobody actually knows which system is lying Is the price wrong because the ERP didn't sync? Because the PIM overwrote it? Because the caching layer is serving a stale response? There's no source of truth anyone can point to with confidence. So debugging becomes a group archaeology project -- pulling logs from three different teams, none of whom can see each other's systems. That's not a technology problem. It's a structural one.
Frontend teams shouldn't be writing integration code But without a proper gateway layer, that's exactly what happens -- your React developers end up reverse-engineering Salesforce responses and hand-rolling data transformations just to ship a product page. Feature velocity drops 40-60% fast. We've watched teams in that situation where the frontend lead was spending more time reading ERP documentation than building UI. That's expensive, demoralizing, and completely avoidable.

Qué entregamos

Typed API Gateway

We build a unified GraphQL and REST gateway with TypeScript types auto-generated directly from upstream system specs. So your frontend team consumes one consistent, documented interface -- doesn't matter if the backend is SAP, Salesforce, Akeneo, or some legacy REST API from 2011. The complexity gets absorbed at the gateway layer. Your developers just see clean, typed endpoints that behave predictably. No more digging through Confluence pages trying to figure out what field SAP actually returns for a product's base price. It's all handled before it ever reaches them.

Event-Driven Sync Engine

Real-time data propagation runs through Inngest workflows with automatic retry, dead letter handling, and guaranteed delivery. Batch cron jobs are gone. So is the data staleness they cause. When a price changes in your ERP, that update moves through the pipeline immediately -- not at 3am when the next sync window opens. And honestly, once you've seen how clean this is compared to debugging a failed cron job at midnight, you won't miss the old way at all.

Runtime Schema Validation

Zod schemas sit at every integration boundary, and they catch upstream changes before anything broken reaches the frontend. So when a vendor updates their API and renames a field -- which happens constantly -- you get a logged, alerted incident instead of silent data corruption spreading through your catalog. It's not glamorous. But it's the difference between catching a schema drift at 9am and discovering it cost you conversions at 9pm. We've seen that second scenario play out too many times to leave this part to chance.

Edge Caching with Smart Invalidation

Redis and Vercel ISR caching with event-driven invalidation gets you sub-second page loads without sacrificing freshness. TTL strategies are tuned per data type -- pricing refreshes in seconds, product descriptions in minutes. You're not picking between fast and accurate. You get both, because invalidation fires when the data actually changes rather than on some arbitrary timer. That distinction matters more than most teams realize until they've burned a week debugging stale cache serving incorrect prices to real customers.

Full-Stack Observability

Correlation IDs trace every request from the browser through the gateway all the way to each upstream system. Dashboards show sync lag, error rates, and data freshness per integration -- so when something's off, you know exactly where the chain broke. Automated alerting and runbooks mean your on-call engineer isn't starting from scratch at midnight. There's no "check everything and hope" anymore. You open the dashboard, see which integration is misbehaving, and follow the runbook. That's it.

Graceful Degradation and Circuit Breaking

Per-integration circuit breakers serve cached data with staleness indicators when upstream systems go down. SAP's in a maintenance window? Your site keeps serving product pages. A third-party logistics API times out? Checkout still functions. We define the degradation strategy up front so "upstream outage" stops meaning "site outage." And look -- every system goes down sometimes. The question is just whether you've decided in advance what happens when it does, or whether you're making that call under pressure at 11pm.

Preguntas frecuentes

¿Cómo gestionáis los cambios de esquema en sistemas upstream como SAP o Salesforce?

Cada límite de integración ejecuta esquemas de validación con Zod que detectan cambios estructurales en tiempo de ejecución antes de que cualquier dato defectuoso se propague downstream. Además, generamos tipos TypeScript directamente desde las especificaciones de las APIs upstream, de modo que la desviación de esquema aparece como un error en tiempo de compilación, no como un incidente en producción del que te enteras por un cliente. Las funciones de transformación del gateway hacen el trabajo pesado de aislar los cambios upstream de lo que realmente consume tu frontend. Tus componentes React nunca ven una respuesta bruta de SAP. Nunca.

GraphQL o REST: ¿cómo decidís cuál usar para cada integración?

GraphQL tiene sentido para consultas relacionales con mucha lectura —catálogos de producto, perfiles de cliente, agregación de contenido— donde los equipos frontend necesitan obtener datos de forma flexible sin sobrecargar recursos completos. REST gestiona las escrituras transaccionales que necesitan idempotencia: capturas de pago, envíos de pedidos, receptores de webhooks. La mayoría de proyectos empresariales que construimos, sinceramente, usan ambos. Pero están unificados detrás de un único gateway tipado, así que tu equipo frontend no necesita preocuparse por qué protocolo usa una operación determinada por debajo.

¿Qué ocurre cuando un sistema upstream cae?

Los circuit breakers y la degradación elegante se configuran por integración, no como un fallback genérico. Los datos en caché siguen sirviendo las lecturas con indicadores de obsolescencia para que los clientes no vean páginas rotas. Las colas de eventos almacenan las escrituras con reintentos automáticos y gestión de mensajes fallidos para que nada se pierda durante una caída. Y los dashboards de observabilidad muestran exactamente qué está caído y qué se ve afectado, sin más «algo va mal, revísalo todo». Las estrategias de degradación las definimos durante el diseño de la arquitectura, no durante un incidente a las 2 de la madrugada.

¿Cómo garantizáis la consistencia de datos entre ERP, CRM y PIM?

El punto que la mayoría de equipos se salta es este: tener una propiedad clara del sistema de referencia para cada entidad de datos. Los precios viven en el ERP. Las descripciones de producto viven en el PIM. Los registros de clientes viven en el CRM. El gateway aplica esas reglas de propiedad de forma programática. La sincronización orientada a eventos mantiene los espejos downstream actualizados en segundos. Y la lógica de resolución de conflictos se define durante la fase de arquitectura, no se deja al criterio de quien esté de guardia cuando dos sistemas no coincidan en un precio.

¿Esta capa de integración puede soportar nuestro frontend actual o requiere una reconstrucción completa?

El gateway expone endpoints estándar de GraphQL y REST, así que cualquier frontend puede consumirlo: Next.js, React, Vue, incluso una aplicación con renderizado en servidor que lleva funcionando desde 2014. Normalmente conectamos el gateway a tu frontend existente mientras construimos nuevas páginas en Next.js en paralelo. La migración es incremental. No necesitas una reconstrucción completa para empezar a tener acceso limpio y tipado a tus sistemas backend. De eso se trata precisamente.

¿Cómo es la observabilidad en toda la capa de integración?

Cada petición recibe un ID de correlación que la traza a través del gateway hasta cada llamada a sistemas upstream. Registramos tiempos de respuesta, tamaños de payload y tasas de error por integración: no solo métricas agregadas, sino desgloses por sistema. Los dashboards personalizados muestran la frescura real de los datos: qué tan desactualizado está el precio de tu producto ahora mismo, cuánto tiempo ha pasado desde la última sincronización con Salesforce. Las alertas se activan ante umbrales de lag en la sincronización, picos en la tasa de errores y degradación de la latencia upstream. Cada alerta tiene un runbook asociado. Así tu equipo sabe qué hacer, no solo que algo va mal.

¿Cuánto dura un proyecto típico de arquitectura de integración empresarial?

Entre once y dieciocho semanas desde la auditoría hasta la entrega en producción. El rango depende de cuántos sistemas conectemos y de cuán compleja sea la lógica de transformación. Pero tu equipo frontend no espera hasta la semana dieciocho para ver algo. Las primeras APIs tipadas están disponibles en las primeras seis semanas. Estructuramos la entrega de forma deliberada para que tus desarrolladores empiecen a construir contra datos reales cuanto antes. Sin lanzamiento a lo grande. Sin seis meses de oscuridad en los que nada se entrega.

Ver esta capacidad en acción

Headless CMS Development

Our CMS implementations connect through the same typed gateway layer, ensuring content from Sanity or Contentful integrates cleanly with ERP and PIM data.

Next.js Enterprise Development

The frontend layer consuming the API gateway, built with React Server Components and edge rendering for sub-second page loads from integrated data.

E-Commerce Platform Architecture

Commerce implementations where the integration layer coordinates product data, pricing, inventory, and payment processing across multiple backend systems.

Performance Optimization

Edge caching, smart invalidation, and query optimization strategies that keep integrated pages fast despite pulling from five or more data sources.

Multi-Language Platform Development

The 30-language Korean manufacturer hub where PIM integration with translation management demonstrated gateway architecture at scale across locales.
Compromiso empresarial

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