Enterprise containerized applications face a critical reliability crisis with complex failure modes including memory leaks, cascading failures, network partitions, and resource contention that traditional monitoring tools cannot predict or resolve fast enough. Organizations typically experience multiple production incidents monthly with multi-hour resolution times that consume significant engineering resources while causing customer-facing outages and revenue loss. Traditional approaches rely on reactive monitoring, manual troubleshooting across distributed container environments, and time...
Sowjanya Pandruju
Cloud Application Architect
Amazon Web Services
Sowjanya Pandruju is a Cloud Application Architect at AWS with over 13 years of software development experience, specializing in cloud-native development, AI/ML integration, serverless computing, and event-driven architecture. As a Senior Staff Engineer and Architect, she has led large-scale cloud migrations from on-premises systems to AWS, delivering significant cost reductions and operational efficiencies for multiple organizations. Her expertise spans designing and implementing scalable, highly available solutions that leverage advanced AWS services to solve complex business challenges. She excels at integrating AI/ML capabilities within cloud infrastructure to enable intelligent, data-driven decision-making and automation. Known for her leadership in technological transformations, she has successfully delivered cutting-edge solutions using containerization, serverless technologies, and modern architectural principles, helping organizations streamline operations and achieve measurable business outcomes while maintaining high standards of reliability and security.