Modeen Malick , Principal Systems Engineer at Commvault , explores the role of autonomous healing software in building resilient IT systems . Leveraging AI and Machine Learning , these systems proactively detect , diagnose and resolve issues , reducing downtime and manual intervention . Malick discusses the technology ’ s potential across industries , addressing its impact on efficiency , security and scalability , as well as ethical and regulatory considerations .
A s businesses grow increasingly reliant on IT infrastructure , the demand for more resilient , self-sustaining systems has skyrocketed . Autonomous healing software , an emerging technology , is gaining traction for its potential to transform how organisations manage software maintenance , security and system performance . This technology represents a significant shift in the approach to maintaining operational efficiency , offering the ability to integrate selfhealing capabilities into enterprise infrastructure , minimising downtime and manual intervention .
What are autonomous healing systems ?
Autonomous healing software systems leverage Artificial Intelligence ( AI ) and Machine Learning ( ML ) to detect , diagnose and repair software faults without human intervention . Unlike traditional systems , which require manual monitoring and corrective action , autonomous systems operate independently . For instance , while traditional methods rely on code reviews and testing to enhance software quality , they often fall short of addressing unanticipated problems that arise in real time . Autonomous healing systems can solve this by detecting and containing unexpected issues during runtime , offering a robust , real-time solution to maintaining uptime and system reliability .
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At the heart of autonomous healing systems are AI and big data technologies . AI provides
The advantages of autonomous healing systems are far-reaching .
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