Datadog is a comprehensive observability platform that unifies metrics, traces, logs, and security monitoring into a single dashboard. It provides application performance monitoring (APM) with distributed tracing, infrastructure monitoring for cloud and containers, log management with pattern detection, and real-time alerting. Datadog supports 700+ integrations with cloud services and technologies.
Trace requests across microservices with distributed tracing, identify bottlenecks, and correlate traces with logs and infrastructure metrics in a single view.
Set up multi-condition alerts on latency, error rates, and resource utilization with escalation policies, PagerDuty integration, and anomaly-based thresholds.
Centralize application and infrastructure logs with automatic parsing, pattern detection, and correlation with APM traces to debug issues faster.
import tracer from "dd-trace";// Initialize at the very top of your entry pointtracer.init({service: process.env.DD_SERVICE,env: process.env.DD_ENV,logInjection: true,runtimeMetrics: true,});// Custom span for business-critical operationsexport async function processPayment(orderId: string, amount: number) {const span = tracer.startSpan("payment.process", {tags: { "order.id": orderId, "payment.amount": amount },});try {const result = await chargeCard(orderId, amount);span.setTag("payment.status", "success");return result;} catch (err) {span.setTag("error", true);throw err;} finally {span.finish();}}
Seamless integration, great documentation. Set up in under 10 minutes.
2 days ago
Works well for our use case. Would love to see more webhook event types.
1 week ago
Excellent compliance coverage. HIPAA audit trail works perfectly.
2 weeks ago
| Key | Description | Example |
|---|---|---|
| DD_API_KEY | Datadog API key for sending telemetry | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx |
| DD_SERVICE | Service name for APM grouping | my-api-service |
| DD_ENV | Deployment environment label | production |
Datadog is a comprehensive observability platform that unifies APM, logs, metrics, and alerting in a single pane of glass. It excels at microservice environments where distributed tracing and correlated logs are essential for debugging. With 700+ integrations and anomaly detection, it is the enterprise standard for production monitoring.