Sravanthi Naga
Senior Engineering Manager - Pegasystems
Hyderābād, India
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A cloud-native and performance engineering enthusiast, I focus on building high-performing, resilient, and secure systems at the intersection of Performance Engineering, Kubernetes, and DevSecOps. My current interests include AI-driven testing, LLM evaluation, and the performance and reliability of intelligent applications. As a CNCF Hyderabad volunteer and conference speaker, I enjoy sharing practical insights, contributing to open-source innovation, and fostering community collaboration to help advance the cloud-native and AI ecosystems.
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100M Logs a Day: Performance Engineering an OpenSearch Observability Platform for Kubernetes
Kubernetes platforms generate massive volumes of logs from microservices, infrastructure, and platform services. At scale, OpenSearch observability pipelines often struggle with shard explosion, indexing bottlenecks, JVM pressure, and slow queries.
This session presents a practical architecture for operating an OpenSearch observability platform handling 100M+ logs per day from Kubernetes environments. We will walk through the end-to-end pipeline—from log collection to ingestion and indexing—and share performance engineering techniques used to maintain cluster stability under heavy workloads.
Topics include shard and index design, JVM and thread-pool tuning, optimizing indexing throughput, and using lifecycle policies and hot-warm architectures to scale efficiently. Attendees will gain actionable strategies for building resilient OpenSearch observability platforms for cloud-native systems.
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.
OpenSearchCon India 2026 Sessionize Event
Sravanthi Naga
Senior Engineering Manager - Pegasystems
Hyderābād, India
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