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Update testing.md
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practices/testing.md

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Effective testing does not stop once software reaches production. By integrating [observability](observability.md) into testing, teams gain real-time insights and continuously validate system behavior under real-world conditions. Observability-driven testing means using telemetry data, such as metrics, logs, tracing and user analytics, to shape test approach, validate assumptions, detect regressions early and drive continuous improvement.
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Applying this principle reduces mean-time-to-detection and recovery, improving reliability, enables teams to validate assumptions using real data rather than guesswork, enhances the quality of future releases by continuously learning from real-world usage patterns. Increases confidence when releasing frequently, knowing production issues can be quickly identified, understood and addressed.
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Applying this principle reduces mean-time-to-detection and recovery, improving reliability, enables teams to validate assumptions using real data rather than guesswork, and enhances the quality of future releases by continuously learning from real-world usage patterns. It increases confidence when releasing frequently, knowing production issues can be quickly identified, understood and addressed.
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- **Testing is assisted by automation**
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