The Three Pillars: Scaling Observability for Distributed Systems

Monitoring is telling you something is wrong. Observability is understanding why it's wrong.

1. Metrics (Reliability)

Aggregated numerical data over time (e.g., CPU load, 99th percentile latency). Great for dashboards and alerting.

2. Logs (Context)

Detailed text records of specific events. Essential for debugging specific errors but expensive to store at scale.

3. Traces (Connectivity)

Distributed tracing follows a single request as it travels through multiple microservices. This is the only way to find out which service in a 5-step chain is causing the slowdown.

The OpenTelemetry Movement

Standardizing your observability stack with OpenTelemetry (OTel) avoids vendor lock-in and allows you to switch between Datadog, Honeycomb, or New Relic without changing your application code.