Parth Aggarwal
About Speaker
Parth Aggarwal
Principal Engineer
Nagarro
Parth is a QA Manager and Project Leader with a proven track record of managing large teams and delivering high-quality software through strategic testing and effective project oversight. With deep expertise in Tricentis Tosca, end-to-end QA management, and process improvement, He focus on driving operational excellence, optimizing delivery, and developing strong, high-performing teams to achieve business objectives.
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Topic – Intelligent Chaos: Using AI to Discover Hidden Failures in Distributed Systems
Modern cloud and microservices architectures introduce significant complexity, making it increasingly difficult to predict how systems behave under real-world failures. Traditional testing strategies typically validate expected behaviour but often fail to uncover hidden reliability risks such as cascading failures, resource exhaustion, or unexpected service dependencies.
Chaos Engineering has emerged as a powerful approach to proactively test system resilience by intentionally introducing controlled failures. However, designing effective chaos experiments and analysing their results often requires deep system knowledge and significant manual effort.
This session explores how Artificial Intelligence can enhance Chaos Engineering, making resilience testing more intelligent, automated, and scalable.