Performance metrics collected; response time p50, p95, error rate, and throughput visible in dashboard with baselines

Without response time percentiles and throughput baselines, every deployment is a blind release — you cannot distinguish a 20% p95 regression from normal variance, or confirm that a refactor didn't silently degrade performance. ISO 25010 performance-efficiency.time-behaviour and NIST AU-6 require that performance data be collected and reviewed. Teams without p50/p95 dashboards measure performance by user complaints, which means regressions are invisible until they're severe enough for users to notice and report.

Instrument your app with Datadog RUM or a comparable APM to collect p50, p95, error rate, and throughput.

npm install @datadog/browser-rum

// src/lib/monitoring.ts
import { datadogRum } from '@datadog/browser-rum';

datadogRum.init({
  applicationId: process.env.NEXT_PUBLIC_DATADOG_APP_ID!,
  clientToken: process.env.NEXT_PUBLIC_DATADOG_CLIENT_TOKEN!,
  site: 'datadoghq.com',
  service: 'my-app',
  env: process.env.NODE_ENV,
  version: process.env.NEXT_PUBLIC_APP_VERSION,
  sessionSampleRate: 100,
  trackUserInteractions: true,
});

In the Datadog dashboard, create timeseries panels for: p50 and p95 response time, error rate (5xx%), and requests per minute. Set a 30-day baseline window. Enable deployment markers so each production deploy appears as an annotation on the chart.

• ID: deployment-readiness.environment-configuration.performance-metrics

• Severity: info

• What to look for: Enumerate every relevant item. Look for monitoring/APM integration (New Relic, Datadog, Grafana, AWS CloudWatch). Verify metrics are being collected: response time (p50, p95), error rate, throughput. Check if metrics are visible in a dashboard with baseline comparisons or trends.

• Pass criteria: At least 1 of the following conditions is met. Performance metrics are collected and visible in a monitoring dashboard. At minimum: response time percentiles (p50, p95), error rate, and throughput. Historical baselines are available for comparison.

• Fail criteria: No metrics collected, or metrics exist but no dashboard, or only basic metrics without percentiles or baselines.

• Skip (N/A) when: The project is not in production yet.

• Detail on fail: "No monitoring dashboard found. Performance metrics are not being collected." or "Datadog collects response time but does not show percentiles (p50, p95)."

• Remediation: Set up monitoring. Using Datadog or similar:

  npm install @datadog/browser-rum @datadog/browser-logs
  

  Initialize in your app:

  import { datadogRum } from '@datadog/browser-rum';
  
  datadogRum.init({
    applicationId: process.env.DATADOG_APP_ID,
    clientToken: process.env.DATADOG_CLIENT_TOKEN,
    site: 'datadoghq.com',
    service: 'your-app',
    env: process.env.NODE_ENV,
    version: process.env.APP_VERSION,
  });
  
  datadogRum.startSessionReplayRecording();
  

  Then in Datadog dashboard, create a dashboard with panels for:

  • Response time: p50, p95, p99
  • Error rate: % of requests with 5xx status
  • Throughput: requests per minute
  • Set time range to 7d or 30d to see trends