Maintainx cost tuning

MaintainX Cost Tuning

Overview

Reduce MaintainX API request volume and optimize costs through caching, webhook-driven sync, request batching, and smart polling strategies.

Prerequisites

• MaintainX integration deployed and working
• Redis or in-memory cache available
• Baseline API usage metrics

Instructions

Step 1: Request Volume Tracking

// src/cost/usage-tracker.ts

class ApiUsageTracker {
  private counts: Map<string, number> = new Map();
  private startTime = Date.now();

  record(endpoint: string) {
    const key = endpoint.split('?')[0]; // Strip query params
    this.counts.set(key, (this.counts.get(key) || 0) + 1);
  }

  report() {
    const elapsed = (Date.now() - this.startTime) / 1000 / 60; // minutes
    console.log(`\n=== API Usage Report (${elapsed.toFixed(1)} min) ===`);
    const sorted = [...this.counts.entries()].sort((a, b) => b[1] - a[1]);
    for (const [endpoint, count] of sorted) {
      const rate = (count / elapsed).toFixed(1);
      console.log(`  ${endpoint}: ${count} calls (${rate}/min)`);
    }
    console.log(`  TOTAL: ${[...this.counts.values()].reduce((a, b) => a + b, 0)} calls`);
  }
}

export const tracker = new ApiUsageTracker();
// Report every 10 minutes
setInterval(() => tracker.report(), 600_000);

Step 2: Response Caching

// src/cost/cached-client.ts

interface CacheEntry<T> {
  data: T;
  expiresAt: number;
}

class CachedMaintainXClient {
  private cache = new Map<string, CacheEntry<any>>();
  private client: MaintainXClient;

  // TTL per resource type (in seconds)
  private ttl: Record<string, number> = {
    '/users': 300,       // 5 min - users rarely change
    '/locations': 300,   // 5 min - locations are static
    '/assets': 120,      // 2 min - assets change infrequently
    '/workorders': 30,   // 30 sec - work orders change often
    '/teams': 600,       // 10 min - teams are very static
  };

  constructor(client: MaintainXClient) {
    this.client = client;
  }

  async get<T>(endpoint: string, params?: any): Promise<T> {
    const cacheKey = `${endpoint}:${JSON.stringify(params || {})}`;
    const cached = this.cache.get(cacheKey);

    if (cached && cached.expiresAt > Date.now()) {
      console.log(`[CACHE HIT] ${endpoint}`);
      return cached.data;
    }

    const basePath = '/' + endpoint.split('/').filter(Boolean)[0];
    const ttlSec = this.ttl[basePath] || 60;

    const data = await this.client.request('GET', endpoint, undefined, params);
    this.cache.set(cacheKey, {
      data,
      expiresAt: Date.now() + ttlSec * 1000,
    });

    tracker.record(endpoint);
    return data as T;
  }

  invalidate(pattern: string) {
    for (const key of this.cache.keys()) {
      if (key.startsWith(pattern)) {
        this.cache.delete(key);
      }
    }
  }
}

Step 3: Webhook-Driven Sync (Replace Polling)

Polling every 30 seconds costs thousands of requests/day per endpoint. Webhooks reduce this to near zero.

// Before: Polling (expensive)
// Calculation: 1 request every 30 sec = 2 req/min * 60 min * 24 hr = ~2880 req/day
setInterval(async () => {
  const { workOrders } = await client.getWorkOrders({ status: 'OPEN' });
  await syncToLocalDb(workOrders);
}, 30_000);

// After: Webhook-driven (near zero cost)
app.post('/webhooks/maintainx', async (req, res) => {
  const { event, data } = req.body;
  if (event === 'workorder.updated' || event === 'workorder.created') {
    await upsertWorkOrder(data);  // Only sync what changed
  }
  res.status(200).json({ ok: true });
});

Cost savings: From thousands of daily polling requests to ~50 req/day (webhook-driven deltas only).

Step 4: Smart Polling with Conditional Requests

When webhooks are not available, reduce unnecessary fetches:

// Only fetch if data has changed since last check
async function smartPoll(client: MaintainXClient, state: { lastModified?: string }) {
  const response = await client.getWorkOrders({
    updatedAtGte: state.lastModified || new Date(0).toISOString(),
    limit: 100,
  });

  if (response.workOrders.length === 0) {
    console.log('No changes since last poll');
    return [];
  }

  state.lastModified = new Date().toISOString();
  return response.workOrders;
}

Step 5: Request Deduplication

// Deduplicate concurrent identical requests
const inFlight = new Map<string, Promise<any>>();

async function deduplicatedGet(client: MaintainXClient, endpoint: string): Promise<any> {
  if (inFlight.has(endpoint)) {
    return inFlight.get(endpoint)!;
  }

  const promise = client.request('GET', endpoint);
  inFlight.set(endpoint, promise);

  try {
    return await promise;
  } finally {
    inFlight.delete(endpoint);
  }
}

Output

• API usage tracking with per-endpoint request counts
• Response caching with resource-specific TTLs
• Webhook-driven sync replacing expensive polling loops
• Smart polling with updatedAtGte filter for change detection
• Request deduplication preventing concurrent identical calls

Error Handling

Issue	Cause	Solution
Stale cache data	TTL too long for volatile resources	Reduce TTL for /workorders to 15-30s
Webhook delivery failures	Endpoint down or unreachable	Fall back to polling with longer interval
Cache memory growth	No eviction policy	Set max cache size, use LRU eviction
Duplicate webhook events	MaintainX retries	Deduplicate by event ID (see webhooks skill)

Resources

• MaintainX API Reference
• MaintainX Pricing
• node-cache -- In-memory caching for Node.js

Next Steps

For architecture patterns, see maintainx-reference-architecture.

Examples

Redis-based cache for production:

import Redis from 'ioredis';

const redis = new Redis(process.env.REDIS_URL);

async function cachedGet(key: string, ttlSec: number, fetcher: () => Promise<any>) {
  const cached = await redis.get(key);
  if (cached) return JSON.parse(cached);

  const data = await fetcher();
  await redis.setex(key, ttlSec, JSON.stringify(data));
  return data;
}

// Usage
const workOrders = await cachedGet(
  'maintainx:workorders:open',
  30,
  () => client.getWorkOrders({ status: 'OPEN' }),
);