Sravanthi Naga
Senior Engineering Manager - Pega Systems
Hyderābād, India
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Sravanthi Naga is a seasoned technology leader with over 18 years of experience in the software industry. She has a strong background in performance engineering, DevSecOps, and cloud-native technologies. Throughout her career, Sravanthi has been instrumental in driving organizational excellence by focusing on high-performance, quality, and resilience in applications.
As a passionate advocate for continuous learning, she has honed her skills in empathetic listening and fostering a culture that values both individuals and system efficiency. Sravanthi believes in leading by example and empowering teams to achieve successful outcomes.
In her current role, she leads initiatives that bridge the gap between development, security, and operations, ensuring seamless integration and collaboration across teams. Her expertise in Kubernetes and DevSecOps has been pivotal in optimizing workflows and strengthening application security.
Sravanthi holds a degree in Computer Science and has earned several certifications in cloud computing and security. She is a sought-after speaker at industry conferences, sharing insights on performance optimization, security best practices, and the latest trends in technology.
Beyond her professional endeavors, Sravanthi is committed to mentoring the next generation of tech leaders and actively participates in community initiatives aimed at promoting diversity and inclusion in the tech industry.
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Containerized Time Travel: Replicating Production Performance
One of the significant challenges faced by Kubernetes-based applications is that performance issues often only manifest in production environments, making them difficult to reproduce in development or staging settings. Imagine if we could "time travel" and recreate real-world production conditions within a controlled environment.
This session explores how a leading global bank (200M customers in 150+ countries) successfully recreated production workloads in controlled settings. By leveraging synthetic data generation, trace playback, and workload simulation, we tackled most performance issues without compromising sensitive data. This approach not only enhanced system reliability and reduced downtime but also improved the bank's ROI by decreasing operational costs by 30% and increasing transaction efficiency by 25%, resulting in significant annual savings.
Join us as we unravel the secrets of "time travel" to replicate production performance and resolve issues effectively.
Sravanthi Naga
Senior Engineering Manager - Pega Systems
Hyderābād, India
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