observability

To define observability signals, you analyze the repository's runtime surface and failure modes to output a concrete signal plan covering logs, metrics, traces, and dashboards. This plan identifies exactly what to measure for health and reliability.

A runtime observability strategy includes a platform summary, runtime surface mapping, failure mode analysis, a signal plan, a gap report, and rollout or incident hooks. It spans logs, traces, metrics, dashboards, and validation workflows.

You plan logs, metrics, and traces by scoping the affected runtime surface and mapping its failure modes. This yields a targeted signal plan and validation steps that guide incident diagnosis and deploy validation.

Yes, you can validate deploys and sustain long-term reliability by using the generated signal plan and validation workflows. These outputs align the team on required metrics and dashboards to monitor system health over time.

You need a gap report for observability when assessing existing runtime monitoring against newly defined signal requirements. It highlights missing logs, traces, or metrics needed to properly monitor health, performance, and reliability.