Integration Architecture & Enterprise Data Bridges | AIVON Technologies
Resilient bridges connecting legacy databases, modern APIs, and cloud services
On-Premise Server
CDC Stream
JSON Schema Map
TLS 1.3 Push
Sub-Second Sync
Legacy system executes transaction in local SQL / ERP database.
Architecture Overview
Our integration architecture bridges the divide between legacy on-premise infrastructure, proprietary ERP databases, and contemporary cloud applications using real-time synchronization, change-data-capture (CDC), and normalized data contracts.
System Layers & Separation of Concerns
Change Data Capture (CDC)
Streams live database row changes from legacy SQL/Oracle/SAP instances without impacting production performance.
Contract Normalization
Transforms proprietary legacy table structures into standardized canonical JSON models.
Cloud API Dispatcher
Dispatches normalized data to modern web applications, data warehouses, and external partner APIs.
Implementation Approach
- Use Change Data Capture (CDC) rather than periodic bulk polling to eliminate database performance degradation.
- Establish a canonical data model to decouple internal systems from third-party vendor formats.
- Maintain a bi-directional synchronization ledger to prevent race conditions and overwrite conflicts.
Unified Enterprise Integration
Legacy databases and modern cloud applications shouldn't live on separate islands. We build resilient, high-speed data bridges that allow your entire software ecosystem to work together seamlessly.
Recommended Stack
Scalability Standards
- Buffered message queues allow cloud frontends to stay fast even when legacy backends experience maintenance outages.
- Batch compression reduces network bandwidth consumption across hybrid cloud links.
Security Benchmarks
- IPsec VPN tunnels and mTLS encrypt all communication between on-premise servers and cloud instances.
- Strict schema validation rejects corrupted legacy records before reaching cloud storage.
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