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DevOps9 min read

Observability 101: Logs, Metrics and Traces

Scaleup Infotech

Scaleup Infotech

Software & Marketing Agency

Apr 21, 2026
Observability 101: Logs, Metrics and Traces
ObservabilityMonitoringDevOps

When production breaks at 3am, dashboards are the difference between a five-minute fix and a five-hour outage. Observability rests on three complementary pillars.

1. Logs — What Happened

Structured, searchable records of discrete events. Log JSON (not plain text), include a request/correlation ID, and ship to a central store so you can search across all instances.

2. Metrics — How Much / How Fast

Numeric time-series: request rate, error rate, latency percentiles (p95/p99), CPU, memory. Cheap to store and perfect for dashboards and alerting on trends.

3. Traces — Where the Time Went

A trace follows one request across services, showing how long each hop took. Indispensable for finding the slow database call buried in a chain of microservices.

Standardize on OpenTelemetry

OpenTelemetry is the vendor-neutral standard for all three signals. Instrument once, then send data to Grafana, Datadog, Honeycomb, or whatever you choose — no rewrites.

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