Integration Services: End Spaghetti Architecture with Event-Driven iPaaS
Connect enterprise applications, ERPs, CRMs, and third-party APIs using cloud-native integration platforms, event-driven microservices, and Boomi/MuleSoft migration frameworks.
Enterprise Integration Capabilities
Modern integration patterns built for scale, security, and developer productivity.
Enterprise Integration Platform (EIP)
Eliminate point-to-point spaghetti architecture using API Gateways, Service Bus messaging, Logic Apps, and standardized canonical schemas.
Event-Driven Integration (EDA)
Decouple microservices and enterprise applications with event streams using Kafka, Azure Event Grid, and AWS EventBridge for real-time data sync.
Boomi & MuleSoft iPaaS Migration
Migrate legacy Boomi or MuleSoft deployments to cloud-native serverless iPaaS, cutting licensing overhead by 40%+ while boosting reliability.
AWS vs Azure Integration Architecture
Architect multi-cloud and hybrid iPaaS backbones using Azure APIM / Logic Apps or AWS API Gateway / EventBridge / AppFlow.
Boomi & Legacy iPaaS Migration Path
Four steps to modernizing legacy integration pipelines to cloud-native serverless architecture.
API Audit & Catalog
Catalog legacy integrations, endpoints, transformations, and dependency graphs.
Canonical Schema Design
Define domain-driven data contracts and OpenAPI specs to decoupling backends.
Serverless Deployment
Implement event routing and API proxies on cloud-native iPaaS with automated CI/CD.
Parallel Run & Cutover
Execute side-by-side verification and zero-downtime traffic switching.
Frequently Asked Questions (Integration Services)
Why migrate from Boomi or MuleSoft to cloud-native iPaaS?
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.
What is the difference between Point-to-Point and Event-Driven Integration?
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.
How do you handle high-throughput legacy ERP/CRM data synchronizations?
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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