Enterprise Integration Platform (EIP)
Eliminate point-to-point spaghetti architecture using API Gateways, Service Bus messaging, Logic Apps, and standardized canonical schemas.
Connect enterprise applications, ERPs, CRMs, and third-party APIs using cloud-native integration platforms, event-driven microservices, and Boomi/MuleSoft migration frameworks.
Modern integration patterns built for scale, security, and developer productivity.
Eliminate point-to-point spaghetti architecture using API Gateways, Service Bus messaging, Logic Apps, and standardized canonical schemas.
Decouple microservices and enterprise applications with event streams using Kafka, Azure Event Grid, and AWS EventBridge for real-time data sync.
Migrate legacy Boomi or MuleSoft deployments to cloud-native serverless iPaaS, cutting licensing overhead by 40%+ while boosting reliability.
Architect multi-cloud and hybrid iPaaS backbones using Azure APIM / Logic Apps or AWS API Gateway / EventBridge / AppFlow.
Four steps to modernizing legacy integration pipelines to cloud-native serverless architecture.
Catalog legacy integrations, endpoints, transformations, and dependency graphs.
Define domain-driven data contracts and OpenAPI specs to decoupling backends.
Implement event routing and API proxies on cloud-native iPaaS with automated CI/CD.
Execute side-by-side verification and zero-downtime traffic switching.
Proprietary iPaaS tools like Boomi or MuleSoft incur heavy annual license fees and create vendor lock-in. Migrating to serverless cloud-native services (Azure Logic Apps/Event Grid or AWS EventBridge) delivers pay-as-you-go pricing, 40%+ cost reduction, and native cloud ecosystem synergy.
Point-to-point integration tightly couples apps via custom HTTP/REST endpoints, causing cascading failures when systems go offline. Event-driven integration uses asynchronous pub/sub channels, ensuring backends remain fully decoupled, scalable, and resilient.
We employ event-streaming backbones (Azure Event Hubs / Kafka) with claim-check patterns for large payloads, dead-letter queues for error isolation, and idempotent consumer workers.
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