MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202621105404 A) filed by Gunjan Shegade on September 01, 2026, for Predictive Performance Analysis And Autonomous Application Self-Healing.
Inventor includes Gunjan Shegade.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: ABSTRACT [505] The advanced predictive performance analysis system introduces an innovative self-healing framework for comprehensive application resilience that integrates computational anomaly-detection protocols with adaptive remediation determination mechanisms, facilitating real-time performance calculations, dynamic health optimization, and robust failure-recovery confirmation while maintaining seamless enterprise integration and operational accuracy for consistent application uptime. [510] The comprehensive performance framework employs adaptive machine-learning algorithms and intuitive monitoring protocols, utilizing embedded computational processing arrays and resource-efficient calculation systems to ensure timely degradation identification, enhanced system understanding, and optimal remediation reliability while maintaining continuous performance-monitoring capabilities. [515] The integrated methodology combines multi-dimensional telemetry techniques with artificial intelligence-driven pattern-recognition systems, leveraging variable-precision performance signals and multi-factor health indicators to optimize remediation procedures and recovery workflows for maximum operational accuracy and minimal downtime during critical enterprise application scenarios. [520] The novel responsive performance architecture features engineered high-precision monitoring components with specialized failure-signature fingerprinting protocols, enabling complex multi-stage recovery verification while ensuring performance consistency and remediation optimization across various application instances without compromising system reliability. [525] The innovative design incorporates strategic validation mechanisms for enhanced anomaly identification and remediation security, utilizing optimized multi-function systems and adaptive monitoring technology to ensure legitimate self-healing assignment while maintaining functionality across diverse enterprise environments and deployment scenarios. [530] Implementation methodology emphasizes scalable performance integration and efficient recovery sequences, implementing interactive monitoring measures and pattern-recognition algorithms to achieve superior degradation determination, enhanced failure identification, and unauthorized-action prevention while ensuring technological simplicity during operational monitoring. [535] The system demonstrates exceptional adaptability through comprehensive integration of anomaly-identification protocols and intelligent remediation technologies, validating its effectiveness across various multifunctional application configurations and deployment scenarios while maintaining consistent performance monitoring and operational efficiency under diverse conditions. [540] The developed framework enables sustainable and reliable recovery of application health through streamlined, AI-powered monitoring systems, providing significant advantages over traditional performance-monitoring approaches through variable validation mechanisms, adaptive remediation protocols, and improved failure assignment while maintaining superior monitoring accuracy during critical enterprise operations.
Disclaimer: Curated by HT Syndication.
