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AWS Observability

AWS observability covers the managed services for monitoring, logging, and tracing workloads running on Amazon's cloud. CloudWatch, X-Ray, and related tools collect metrics, aggregate logs, and trace requests across distributed systems to surface operational issues.

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AWS Observability

AWS observability is your ability to understand an AWS workload from the telemetry it emits. Telemetry is the evidence: metrics, logs, and traces. Observability is the operating capability you build from that evidence.

The useful mental model is a path from outcome to evidence:

  1. Define the customer or business outcome that must remain healthy.
  2. Choose indicators that represent that outcome and its dependencies.
  3. Instrument the workload and collect the required telemetry.
  4. Turn important conditions into dashboards, service level objectives, and alarms.
  5. Investigate across metrics, logs, and traces when the condition changes.
  6. Retain enough evidence for later analysis without collecting data without a purpose.

Amazon CloudWatch is the center of this path in AWS. It monitors AWS resources and applications. It stores and analyzes metrics and logs, presents dashboards, evaluates alarms, and connects application performance data. AWS X-Ray provides the trace data model and trace backend. AWS CloudTrail records account activity, which answers a different class of questions.

Start with questions, not products

A dashboard is useful only when its signals answer an operating question. Begin with questions such as these:

  • Are customers completing the important operation?
  • Is latency within the target?
  • Which dependency is adding delay or errors?
  • Did a deployment change behavior?
  • Who changed the AWS resource or policy?
  • Is the monitoring system itself receiving current telemetry?

AWS Well-Architected guidance starts from key performance indicators tied to business requirements. This prevents a common failure: collecting every available signal while leaving the customer outcome invisible.

Monitoring and observability overlap, but they are not identical. Monitoring checks known conditions. Observability lets you investigate system behavior by combining evidence, including conditions you did not predict in advance.

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