Engineering™ · Cloud & Infrastructure

Systems Integration

We connect heterogeneous enterprise platforms so critical business data flows without friction or loss.

Middleware · REST & GraphQL APIs · Webhooks · Message Queues (Kafka / RabbitMQ). We integrate legacy ERPs, payment processors, eCommerce engines, and cloud software into decoupled, fault-tolerant architectures.

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Scope

Custom API Middleware · Message Queues & Event Bus · Legacy System Modernization · Data Contract Enforcement

Estimated Timeline

6–10 weeks

Platforms

Node.js / Go / Python · RabbitMQ / Apache Kafka · AWS EventBridge / SQS · REST / GraphQL

Target Fit

Is this for your company?

This service is for you if

✓Core tools do not communicate directly, forcing staff to manually export and import CSV files.
✓Your enterprise ERP is a closed legacy system lacking modern REST APIs to connect with web platforms.
✓If an external service temporarily goes down, customer orders or transaction payloads are lost forever.
✓You need custom middleware to translate incompatible data formats between internal tools.

You probably do not need it if

✕Your existing platforms already offer a certified native integration covering 100% of your operational requirements.
✕Your transaction volume is minimal and can be easily managed by simple Make or Zapier scenarios.

Problem Space

What we solve

Legacy System Modernization without Replacement

Engineering secure modern API wrappers around legacy databases to safely connect them with cloud applications.

Decoupled Event-Driven Architecture

Leveraging asynchronous message queues (Kafka/RabbitMQ/SQS) so a temporary outage in one tool never impacts the rest.

Guaranteed Delivery & Idempotency

Architectures guaranteeing that transactions are never processed twice nor lost during network drops.

Real-Time Schema Translation & Formatting

Transforming data payloads across disparate enterprise standards (XML, JSON, SOAP, EDI, or SQL tables).

Engineering Process

How it works

01 — Diagnose

Protocol & Data Interface Discovery

We audit system communication protocols (SOAP, REST, SQL), message payload volumes, and latency constraints.

02 — Design

Middleware Architecture & Data Contracts

We design the asynchronous event bus, formalize data contract schemas, and define retry policies.

03 — Build

Connector Engineering & Message Bus Setup

We build the middleware service in Node.js/Go, configure message queues, and program schema transformations.

04 — Launch

Stress Testing, Circuit Breakers & Go-Live

We simulate external tool failures, verify dead-letter queues, test high concurrency, and deploy to production.

Deliverables

What we deliver

Upon completion you will have

✓Custom integration middleware deployed on scalable cloud infrastructure.

✓Fault-tolerant message queue architecture (SQS/RabbitMQ/Kafka).

✓Typed data contract specifications documented in OpenAPI/Swagger.

✓Dead Letter Queue (DLQ) and monitoring interface to reprocess failed transactions.

✓Telemetry dashboard tracking message throughput, latency, and delivery success rates.

Delivery Plan

Implementation Phases

Tiempo típico de proyecto:6–10 weeks

Weeks 1–2Phase 1

Protocol Discovery & API Testing

Access provisioning, testing legacy endpoints, and defining shared canonical data contracts.

Weeks 3–5Phase 2

Middleware & Adapter Engineering

Coding API adapters, authentication layers, and payload translation microservices.

Weeks 6–8Phase 3

Queue Architecture & Resilience Engineering

Event bus configuration, exponential retry backoff, and Dead Letter Queue handling.

Weeks 9–10Phase 4

High-Volume Stress Testing & Production Cutover

Simulating thousands of concurrent events, verifying data consistency, and production rollout.

Pricing Guidance

Estimated Investment

Target Investment

USD 5,800

Includes decoupled event-driven architecture, custom middleware engineering, message queues, and telemetry monitoring.

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Real-World Proof

Impact Case Study

From Lost Orders and Daily CSV Sync Chaos to 100% Reliable Event-Driven Operations

Initial problem

Retail distributor with a modern Shopify store and a legacy AS/400 ERP relying on fragile 6-hour CSV imports that dropped orders.

Technical intervention

Development of a custom Node.js middleware on AWS SQS listening to Shopify webhooks, validating schemas, and enqueuing orders into the ERP.

Outcome achieved

Order ingestion turnaround dropped from 6 hours to 4 seconds, order drop rate fell to zero, and the system smoothly handled 10,000 daily peak orders.

Clarifications

Frequently asked questions

Can you integrate our old legacy ERP if it lacks modern web APIs?

Yes. We build custom middleware adapters that interact directly with the underlying database (via Change Data Capture or secure read-replicas) or expose wrappers translating legacy protocols into modern REST/JSON.

What happens if an external system experiences an outage overnight?

Because we implement asynchronous message queues, all inbound events accumulate safely in the queue. Once the external platform comes back online, the middleware drains the queue sequentially without losing a single record.

How do you ensure transactions are never duplicated?

We enforce strict idempotency keys: every transaction carries a unique identifier. If a network blip causes an event to be sent twice, the middleware identifies the duplicate and discards it without double-charging or duplicating orders.

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