Integration & APIs

Connect systems seamlessly with API-led architecture, enterprise integration patterns, and event-driven messaging.

Business Outcomes

1

Faster Integrations

Reduce integration delivery time from months to weeks with reusable connectors and standardized patterns.

2

Reduced Coupling

Decouple systems with event-driven architecture and message queues, enabling independent scaling and updates.

3

Enhanced Visibility

Monitor all integrations with centralized dashboards, error tracking, and performance analytics.

Core Capabilities

API-led connectivity (System, Process, Experience APIs)
Enterprise service bus (ESB) and message brokers
Event-driven architecture with Kafka and streaming
API gateway and management platforms
MuleSoft, IBM MQ, and enterprise middleware
Real-time and batch integration patterns
Data transformation and enrichment
API security, rate limiting, and versioning

Reference Architecture

API-led integration architecture with centralized gateway, event-driven messaging, and real-time data synchronization across enterprise systems.

Reference Architecture Diagram

Delivery Approach

1
Integration Assessment

  • • Current integration landscape mapping
  • • Point-to-point vs. hub-and-spoke analysis
  • • API taxonomy and naming standards
  • • Security and governance requirements

2
Architecture & Design

  • • API-led connectivity strategy
  • • Integration patterns selection (sync, async, batch)
  • • Message broker and queue design
  • • API gateway and authentication setup

3
Implementation

  • • Reusable connector library development
  • • API implementation with OpenAPI specs
  • • Message flows and event schemas
  • • Error handling and retry policies

4
Operations & Monitoring

  • • Centralized integration monitoring
  • • SLA tracking and alerting
  • • API documentation and developer portal
  • • Runbooks for common integration issues

Real-World Use Cases

API-Led Integration Platform

Built an API-led integration layer with MuleSoft, connecting CRM, ERP, and payment systems for a retail enterprise.

Success Metrics:
50% faster integration delivery
15+ systems integrated
99.8% API availability
300K+ API calls per day

Event-Driven Architecture

Migrated from batch processing to real-time event streaming with Kafka, enabling instant order processing for e-commerce.

Success Metrics:
Real-time order processing
90% reduction in processing latency
10M+ events per day
Zero data loss guarantee

Legacy System Modernization

Created an API abstraction layer over legacy mainframe systems, enabling modern applications to access core banking data.

Success Metrics:
40+ APIs created
Sub-200ms response time
100% backward compatibility
Phased migration approach

Partner Integration Network

Deployed an API gateway with partner onboarding portal, authentication, and rate limiting for B2B integrations.

Success Metrics:
30+ partners onboarded
Self-service API documentation
OAuth 2.0 security
99.95% uptime SLA

Technologies & Platforms

MuleSoft
Apache Kafka
IBM MQ
RabbitMQ
Kong
Apigee
AWS API Gateway
Azure API Management
Postman
Swagger
GraphQL
gRPC

Frequently Asked Questions

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