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Cyclic information and control paths that connect observation, evaluation and response to enable learning and continuous improvement.
Feedback loops are cyclic information and control paths that observe system state, evaluate results, and trigger adaptive actions. They link measurement, analysis, and response to enable learning, stability, and continuous improvement across products and processes. They enable faster learning cycles.
Time between change submission and successful delivery; measures speed of the feedback cycle.
Average time to detect an issue; indicator for observability.
Average time to remediate an incident; measures responsiveness of the feedback mechanism.
Comparing two variants to measure user response and decide on the better version.
Metrics trigger automatic scaling actions to balance capacity and cost.
Teams use dashboards to evaluate past iterations and derive improvements.
Define goals and core metrics; set up instrumentation.
Model feedback paths and assign responsibilities.
Identify automation potentials and implement them safely.