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Project Case Study

Designing System Integration for Internal Business Operations

Architecture concepts and experience in developing enterprise-scale operational system integrations. Reviewing data synchronization across modules, building APIs as bridges, and integrated dashboard monitoring.

Next.jsTypeScriptPostgreSQLPrismaREST APITailwind CSS
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Integrasi sistem memungkinkan data yang terpecah menjadi sebuah grafik keputusan yang komprehensif. · © Luke Chesser

The Urgency of Operational System Integration

When a mid-to-enterprise level company operates, they often manage diverse departments: inventory management, sales teams, and finance. If each department relies on software that cannot communicate with one another, the resulting data becomes isolated (siloed data).

This leads to time-consuming manual reconciliation processes and introduces a high potential for human error. Operational system integration aims to unite all these entities under a single roof (like an ERP system), ensuring absolute end-to-end data transparency without the need for double data entry.

APIs (Polling) vs Webhooks (Event-Driven)

When connecting two or more systems, there are two primary communication patterns: traditional REST APIs (Polling) and Webhooks. Relying on the polling method—where System A constantly asks System B 'Is there any new data?' every 5 minutes—wastes significant server resources.

MethodOperationLatencyAdvantage
API (Polling)Pull-based (Periodically requests data)High (Depends on polling interval)Ideal for bulk synchronization and historical data fetches.
WebhooksPush-based (Triggered only on events)Extremely Low (Real-time)Highly efficient, instantaneous, saves server resources.

Modern architectures strongly advocate for an Event-Driven approach via Webhooks. For instance, the moment the warehouse clicks 'Ship Item', a Webhook is instantly fired to notify the finance module to generate an invoice in real-time.

Hybrid Data Synchronization Architecture

To prevent system failures during traffic spikes (e.g., during promotional events), a robust integration architecture combines Webhooks with a Message Queue (such as RabbitMQ or Redis).

  • Event Triggered: The source system emits the webhook payload.
  • Queuing: The webhook isn't processed immediately; instead, it is safely stored in a message queue.
  • Background Processing: Workers pull data from the queue and invoke the destination API at a controlled, steady pace.
  • Idempotency: API endpoints are designed to gracefully handle duplicate payloads (if a webhook is sent twice, it won't create two invoices).

Utilizing Next.js backed by the Prisma ORM guarantees that data updates to PostgreSQL are executed efficiently and strictly typed (Type-Safe).

The Importance of Internal System Security

Systems exposing their data via APIs are vulnerable if not secured. API authentication must utilize tokens (like OAuth 2.0 or JWT). Furthermore, for Webhook communications, the receiving system must verify cryptographic signatures (HMAC) to reject spoofed data from malicious actors.

At the user interface level, implementing Role-Based Access Control (RBAC) is incredibly crucial. The warehouse team must not possess access to alter sales prices, and field sales must be restricted from modifying warehouse stock. Audit logs must also be recorded for every CRUD transaction for full transparency.

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