Maintainx reference architecture
'Production-grade architecture patterns for MaintainX integrations.From its SKILL.md
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SKILL.md
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MaintainX Reference Architecture
Overview
Production-grade architecture patterns for building scalable, maintainable integrations between MaintainX and enterprise systems (ERP, SCADA, data warehouses).
Prerequisites
- Understanding of distributed systems
- Cloud platform experience (GCP, AWS, or Azure)
- MaintainX API familiarity
Instructions
Step 1: Event-Driven Sync Architecture
The recommended architecture for most MaintainX integrations. Uses webhooks for real-time updates and scheduled jobs for reconciliation.
MaintainX API ──webhook──→ Cloud Run ──→ Pub/Sub ──→ Cloud Functions
│
├──→ BigQuery (analytics)
├──→ ERP System (SAP, Oracle)
└──→ Notification Service
// src/architecture/event-driven.ts
import express from 'express';
import { PubSub } from '@google-cloud/pubsub';
const app = express();
const pubsub = new PubSub();
const topic = pubsub.topic('maintainx-events');
// Webhook receiver publishes to Pub/Sub
app.post('/webhooks/maintainx', async (req, res) => {
const { event, data } = req.body;
await topic.publishMessage({
data: Buffer.from(JSON.stringify({ event, data })),
attributes: { event, resourceId: String(data.id) },
});
res.status(200).json({ status: 'queued' });
});
// Subscriber processes events asynchronously
const subscription = pubsub.subscription('maintainx-events-sub');
subscription.on('message', async (message) => {
const { event, data } = JSON.parse(message.data.toString());
switch (event) {
case 'workorder.completed':
await syncToERP(data);
await updateAnalytics(data);
break;
case 'workorder.created':
if (data.priority === 'HIGH') {
await sendUrgentNotification(data);
}
break;
}
message.ack();
});
Step 2: Bi-Directional Sync Gateway
For integrating MaintainX with ERP systems (SAP, Oracle) where changes flow both ways.
ERP (SAP/Oracle) ←──→ Sync Gateway ←──→ MaintainX API
│
Conflict Resolution
+ Audit Trail
+ Sync State DB
// src/architecture/sync-gateway.ts
interface SyncRecord {
externalId: string; // ERP system ID
maintainxId: number; // MaintainX ID
lastSyncAt: string;
syncDirection: 'inbound' | 'outbound' | 'bidirectional';
hash: string; // Content hash for change detection
}
class SyncGateway {
constructor(
private maintainx: MaintainXClient,
private erp: ERPClient,
private db: SyncStateDB,
) {}
// MaintainX → ERP
async syncToERP(workOrder: any) {
const existing = await this.db.findByMaintainxId(workOrder.id);
if (existing && this.hash(workOrder) === existing.hash) {
return; // No change, skip
}
const erpRecord = this.mapToERP(workOrder);
if (existing) {
await this.erp.update(existing.externalId, erpRecord);
} else {
const created = await this.erp.create(erpRecord);
await this.db.create({
externalId: created.id,
maintainxId: workOrder.id,
lastSyncAt: new Date().toISOString(),
syncDirection: 'outbound',
hash: this.hash(workOrder),
});
}
}
// ERP → MaintainX
async syncFromERP(erpRecord: any) {
const existing = await this.db.findByExternalId(erpRecord.id);
const woData = this.mapFromERP(erpRecord);
if (existing) {
await this.maintainx.updateWorkOrder(existing.maintainxId, woData);
} else {
const created = await this.maintainx.createWorkOrder(woData);
await this.db.create({
externalId: erpRecord.id,
maintainxId: created.id,
lastSyncAt: new Date().toISOString(),
syncDirection: 'inbound',
hash: this.hash(created),
});
}
}
private mapToERP(wo: any) {
return {
title: wo.title,
status: this.mapStatus(wo.status),
priority: wo.priority,
completedAt: wo.completedAt,
};
}
private mapFromERP(erp: any) {
return {
title: erp.description,
priority: erp.urgency === 'HIGH' ? 'HIGH' : 'MEDIUM',
};
}
private mapStatus(status: string) {
const map: Record<string, string> = {
OPEN: 'PLANNED',
IN_PROGRESS: 'ACTIVE',
COMPLETED: 'FINISHED',
CLOSED: 'ARCHIVED',
};
return map[status] || 'UNKNOWN';
}
private hash(obj: any): string {
return require('crypto').createHash('md5')
.update(JSON.stringify(obj)).digest('hex');
}
}
Step 3: Analytics Data Pipeline
MaintainX API ──scheduled──→ Cloud Functions ──→ BigQuery
│
Looker / Metabase
│
KPI Dashboards:
- MTTR (Mean Time to Repair)
- PM Compliance %
- Work Order Backlog
- Asset Downtime
// src/architecture/analytics-pipeline.ts
interface MaintenanceKPIs {
mttr: number; // Mean Time to Repair (hours)
pmCompliance: number; // Preventive Maintenance compliance %
backlog: number; // Open work orders count
completionRate: number; // Orders completed / orders created
}
async function calculateKPIs(client: MaintainXClient): Promise<MaintenanceKPIs> {
const completed = await paginate(
(cursor) => client.getWorkOrders({ status: 'COMPLETED', limit: 100, cursor }),
'workOrders',
);
const open = await paginate(
(cursor) => client.getWorkOrders({ status: 'OPEN', limit: 100, cursor }),
'workOrders',
);
// MTTR: Average time from OPEN to COMPLETED
const repairTimes = completed
.filter((wo: any) => wo.createdAt && wo.completedAt)
.map((wo: any) => {
const created = new Date(wo.createdAt).getTime();
const completed = new Date(wo.completedAt).getTime();
return (completed - created) / 3600000; // hours
});
const mttr = repairTimes.length > 0
? repairTimes.reduce((a: number, b: number) => a + b, 0) / repairTimes.length
: 0;
// PM Compliance
const pmOrders = completed.filter((wo: any) =>
wo.categories?.includes('PREVENTIVE'),
);
const allPM = [...pmOrders, ...open.filter((wo: any) =>
wo.categories?.includes('PREVENTIVE'),
)];
const pmCompliance = allPM.length > 0 ? (pmOrders.length / allPM.length) * 100 : 100;
return {
mttr: Math.round(mttr * 10) / 10,
pmCompliance: Math.round(pmCompliance),
backlog: open.length,
completionRate: completed.length / (completed.length + open.length) * 100,
};
}
Step 4: Multi-Site Architecture
Site A (Plant) Site B (Warehouse) Site C (Office)
└── Local Agent └── Local Agent └── Local Agent
│ │ │
└─────────── Central Hub (Cloud Run) ────────────────┘
│
MaintainX API
(Org-level access)
// Central hub routing requests by site
const siteConfigs = {
'plant-austin': { orgId: 'org-1', apiKey: process.env.MX_KEY_PLANT },
'warehouse-dallas': { orgId: 'org-2', apiKey: process.env.MX_KEY_WAREHOUSE },
'office-houston': { orgId: 'org-3', apiKey: process.env.MX_KEY_OFFICE },
};
function getClientForSite(siteId: string): MaintainXClient {
const config = siteConfigs[siteId as keyof typeof siteConfigs];
if (!config) throw new Error(`Unknown site: ${siteId}`);
return new MaintainXClient(config.apiKey, config.orgId);
}
Output
- Event-driven architecture with Pub/Sub for decoupled processing
- Bi-directional sync gateway with conflict resolution and audit trail
- Analytics pipeline calculating maintenance KPIs (MTTR, PM compliance)
- Multi-site architecture with per-site API key isolation
Error Handling
| Pattern | Failure Mode | Mitigation |
|---|---|---|
| Event-driven | Pub/Sub delivery failure | Dead letter queue, retry policy |
| Bi-directional sync | Conflict on same record | Last-write-wins or manual resolution |
| Analytics pipeline | Incomplete data fetch | Retry with backfill, validate counts |
| Multi-site | One site API key expired | Independent health checks per site |
Resources
- MaintainX API Reference
- Google Cloud Pub/Sub
- Event-Driven Architecture
Next Steps
For multi-environment setup, see maintainx-multi-env-setup.
Examples
SCADA integration (pulling sensor data into MaintainX work orders):
// Auto-create work order when equipment sensor exceeds threshold
async function handleSensorAlert(sensorId: string, value: number, threshold: number) {
const asset = await findAssetBySensorId(sensorId);
await client.createWorkOrder({
title: `Sensor Alert: ${asset.name} - ${sensorId} exceeded threshold`,
description: `Value: ${value} (threshold: ${threshold}). Auto-generated from SCADA.`,
priority: value > threshold * 1.5 ? 'HIGH' : 'MEDIUM',
assetId: asset.maintainxId,
categories: ['CORRECTIVE'],
});
}
What ships with it: 1 file
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references/
- implementation-guide.md16.2 KB
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Said here and by no other author read
- Use webhooks for real-time event-driven updates
- Implement scheduled jobs for data reconciliation
- Publish webhook events to a message queue
- Use a sync gateway for bi-directional data flow
- Maintain an audit trail for all sync operations
- Use content hashes to detect record changes
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