At its core, observability refers to the ability to infer the internal state of a system by examining its external outputs, like metrics, logs, and traces.
When applied to cybersecurity, observability goes beyond simply knowing that an issue exists. It helps you understand why it exists by analyzing ample telemetry data. Think of telemetry as the critical signals (metrics, logs, traces, and even events) being captured across systems. Observability layers intelligent analysis onto these signals, giving you actionable insights into your infrastructure’s security posture.
Here’s an easy way to think about it:
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Monitoring: Reactive. Predefined alerts tell you when something breaks.
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Observability: Proactive. Provides real-time insights beyond the predefined scope, helping you ask and answer new questions.
Traditional monitoring tells you something’s wrong. Observability tells you what’s wrong, why, and how to address it.
The Three Pillars of Observability in Cybersecurity
1. Metrics
Think CPU usage, memory consumption, network latency, or failed login attempts. Metrics are numeric measurements that help spot anomalies in real-time.
2. Logs
Detailed and time-stamped records of events. Logs answer the “who,” “when,” and “what” of incidents. They’re crucial for audits and forensic investigations.
3. Traces
Follow the flow of a request or event as it moves through your system. Traces pinpoint bottlenecks or compromised areas in distributed systems.
Bonus: Events and Alerts(Security-Specific)
Signals from tools like SIEM, EDR, or XDR that provide context for suspicious activity or detected anomalies.
