Instrumentation moderne avec OpenTelemetry pour métriques, traces et logs structurés.
Piliers de l'Observabilité
| Pilier | Technologies | Métriques clés |
|---|---|---|
| Metrics | Prometheus, Grafana, Datadog | RED (Rate, Errors, Duration), USE (Utilization, Saturation, Errors) |
| Traces | OpenTelemetry, Jaeger, Tempo | P95 latency, span duration, error rate |
| Logs | Loki, ElasticSearch, Datadog | Structured JSON, correlation IDs |
OpenTelemetry (OTel) Stack
// Node.js — Auto-instrumentation
const { NodeSDK } = require('@opentelemetry/sdk-node');
const { getNodeAutoInstrumentations } = require('@opentelemetry/auto-instrumentations-node');
const sdk = new NodeSDK({ traceExporter: new OTLPTraceExporter(), instrumentations: [getNodeAutoInstrumentations()], });
sdk.start();
## Golden Signals (Google SRE)
| Signal | Description | Seuil typique |
|--------|-------------|---------------|
| **Latency** | P50, P95, P99 response time | P95 < 200ms |
| **Traffic** | Requests per second | Baseline + alerting |
| **Errors** | Error rate (5xx, exceptions) | < 0.1% |
| **Saturation** | CPU, Memory, Disk | < 80% sustained |
## Structured Logging (JSON)
```json
{
"timestamp": "2026-04-17T10:30:00Z",
"level": "error",
"message": "Payment processing failed",
"trace_id": "4bf92f3577b34da6a3ce929d0e0e4736",
"span_id": "00f067aa0ba902b7",
"service.name": "payment-api",
"error.type": "PaymentGatewayTimeout"
}
SLI / SLO / SLA
| Concept | Exemple |
|---|---|
| SLI (Indicator) | 99.5% requests < 200ms |
| SLO (Objective) | 99.9% uptime mensuel |
| SLA (Agreement) | 99.95% uptime + pénalités |
Pour instrumentation détaillée par stack : invoquer @observability-engineer