Application health maintenance primarily involves application repair or debugging, essential since early software development days. Debugging entails identifying and correcting application functionality issues. Traditional manual debugging methods, measured by mean time to repair (MTTR), can be slow. However, new AI/ML-driven approaches and AIOps are emerging, automating issue identification and resolution, promising faster and more accurate solutions for enhancing application performance and reliability.

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