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maintainx-observability Implement comprehensive observability for MaintainX integrations.
Use when setting up monitoring, logging, tracing, and alerting
for MaintainX API integrations.
Trigger with phrases like "maintainx monitoring", "maintainx logging",
"maintainx metrics", "maintainx observability", "maintainx alerts".
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Explorador de arquivos
2 arquivos name maintainx-observability description Implement comprehensive observability for MaintainX integrations.
Use when setting up monitoring, logging, tracing, and alerting
for MaintainX API integrations.
Trigger with phrases like "maintainx monitoring", "maintainx logging",
"maintainx metrics", "maintainx observability", "maintainx alerts".
allowed-tools Read, Write, Edit, Bash(npm:*) version 1.11.0 license MIT author Jeremy Longshore <jeremy@intentsolutions.io> tags ["saas","maintainx","api","monitoring","observability"] compatibility Designed for Claude Code
MaintainX Observability
Overview
Implement metrics, structured logging, and alerting for MaintainX integrations to ensure reliability and rapid issue detection.
Prerequisites
MaintainX integration deployed
Node.js 18+
Monitoring platform (Prometheus/Grafana, Datadog, or CloudWatch)
Instructions
Step 1: Prometheus Metrics
import { Counter , Histogram , Gauge , Registry } from 'prom-client' ;
const register = new Registry ();
export const metrics = {
apiRequests : new Counter ({
name : 'maintainx_api_requests_total' ,
help : 'Total MaintainX API requests' ,
labelNames : ['method' , 'endpoint' , 'status' ],
registers : [register],
}),
apiLatency : new Histogram ({
name : 'maintainx_api_latency_seconds' ,
help : 'MaintainX API request latency' ,
labelNames : ['method' , 'endpoint' ],
buckets : [0.1 , 0.25 , 0.5 , 1 , 2.5 , 5 , 10 ],
registers
rateLimitHits
new
Counter
name
'maintainx_rate_limit_hits_total'
help
'Times rate limited by MaintainX API'
registers
workOrdersProcessed
new
Counter
name
'maintainx_work_orders_processed_total'
help
'Work orders processed'
labelNames
'action'
'status'
registers
syncLag
new
Gauge
name
'maintainx_sync_lag_seconds'
help
'Seconds since last successful sync'
registers
export
Step 2: Instrumented API Client
import axios, { AxiosInstance } from 'axios' ;
import { metrics } from './metrics' ;
export function createInstrumentedClient (apiKey : string AxiosInstance {
const client = axios.create ({
baseURL : 'https://api.getmaintainx.com/v1' ,
headers : { Authorization : `Bearer ${apiKey} ` , 'Content-Type' : 'application/json' },
timeout : 30_000 ,
});
client.interceptors .request .use ((config ) => {
(config as any ).__startTime = process.hrtime .bigint ();
return config;
});
client.interceptors .response .use (
(response ) => {
const elapsed = Number (process.hrtime .bigint () - (response.config as any ).__startTime ) / 1e9 ;
const endpoint = response.config .url ?.split ('?' )[0 ] || 'unknown' ;
metrics.apiRequests .inc ({
method : response.config .method ?.toUpperCase () || 'GET' ,
endpoint,
status : String (response.status ),
});
metrics.apiLatency .observe (
{ method : response.config .method ?.toUpperCase () || 'GET' , endpoint },
elapsed,
);
return response;
},
(error ) => {
const status = error.response ?.status || 0 ;
const endpoint = error.config ?.url ?.split ('?' )[0 ] || 'unknown' ;
metrics.apiRequests .inc ({
method : error.config ?.method ?.toUpperCase () || 'GET' ,
endpoint,
status : String (status),
});
if (status === 429 ) {
metrics.rateLimitHits .inc ();
}
throw error;
},
);
return client;
}
Step 3: Structured Logging
type LogLevel = 'debug' | 'info' | 'warn' | 'error' ;
interface LogEntry {
level : LogLevel ;
message : string ;
service : string ;
timestamp : string ;
[key : string ]: any ;
}
class StructuredLogger {
private service : string ;
constructor (service : string this .service = service;
}
private log (level : LogLevel , message : string , data ?: Record <string , any >const entry : LogEntry = {
level,
message,
service : this .service ,
timestamp : new Date ().toISOString (),
...data,
};
console .log (JSON .stringify (entry));
}
info (message : string , data ?: Record <string , any >this .log ('info' , message, data); }
warn (message : string , data ?: Record <string , any >this .log ('warn' , message, data); }
error (message : string , data ?: Record <string , any >this .log ('error' , message, data); }
debug (message : string , data ?: Record <string , any >this .log ('debug' , message, data); }
}
export const logger = new StructuredLogger ('maintainx-integration' );
logger.info ('Work order created' , { workOrderId : 12345 , priority : 'HIGH' });
logger.error ('API call failed' , { endpoint : '/workorders' , status : 500 , retryCount : 2 });
Step 4: Health and Metrics Endpoints
import express from 'express' ;
import { register, metrics } from './metrics' ;
const app = express ();
app.get ('/metrics' , async (req, res) => {
res.set ('Content-Type' , register.contentType );
res.end (await register.metrics ());
});
app.get ('/health' , async (req, res) => {
const health = {
status : 'healthy' ,
uptime : process.uptime (),
metrics : {
totalRequests : await metrics.apiRequests .get (),
rateLimitHits : await metrics.rateLimitHits .get (),
syncLagSeconds : (await metrics.syncLag .get ()).values [0 ]?.value || 0 ,
},
};
res.json (health);
});
app.listen (9090 , () => logger.info ('Metrics server on :9090' ));
Step 5: Alerting Rules (Prometheus)
groups:
- name: maintainx
rules:
- alert: MaintainXHighErrorRate
expr: rate(maintainx_api_requests_total{status=~"5.."}[5m]) > 0.1
for: 5m
labels:
severity: critical
annotations:
summary: "MaintainX API error rate > 10%"
- alert: MaintainXHighLatency
expr: histogram_quantile(0.95, rate(maintainx_api_latency_seconds_bucket[5m])) > 5
for: 5m
labels:
severity: warning
annotations:
summary: "MaintainX API p95 latency > 5s"
- alert: MaintainXRateLimited
expr: rate(maintainx_rate_limit_hits_total[5m]) > 0
for: 1m
labels:
severity: warning
annotations:
summary: "MaintainX API rate limiting detected"
- alert: MaintainXSyncStale
expr: maintainx_sync_lag_seconds > 900
for: 5m
labels:
severity: critical
annotations:
summary: "MaintainX sync lag > 15 minutes"
Output
Prometheus metrics (request count, latency histogram, rate limit counter, sync lag gauge)
Instrumented axios client automatically recording metrics on every API call
Structured JSON logging for all operations
/metrics endpoint for Prometheus scrapingAlerting rules for error rate, latency, rate limits, and sync staleness
Error Handling Issue Cause Solution Metrics endpoint 500 prom-client not initialized Ensure Registry is created before metrics Missing labels Metric name mismatch Check labelNames match inc()/observe() calls Log volume too high Debug logging in production Set LOG_LEVEL=info in production Stale sync alert Sync job stopped Check cron schedule, restart sync process
Resources
Next Steps For incident response, see maintainx-incident-runbook.
Examples Datadog integration using DogStatsD :
import StatsD from 'hot-shots' ;
const dogstatsd = new StatsD ({ prefix : 'maintainx.' });
dogstatsd.increment ('api.requests' , 1 , { endpoint : '/workorders' , status : '200' });
dogstatsd.histogram ('api.latency' , 0.45 , { endpoint : '/workorders' });
