The Sched app allows you to build your schedule but is not a substitute for your event registration. You must be registered for KubeCon + CloudNativeCon India 2025 to participate in the sessions. If you have not registered but would like to join us, please go to the event registration page to purchase a registration.
Please note: This schedule is automatically displayed in India Standard Time (UTC+5:30). To see the schedule in your preferred timezone, please select from the drop-down menu to the right, above "Filter by Date." The schedule is subject to change and session seating is available on a first-come, first-served basis.
Sign up or log in to add sessions to your schedule and sync them to your phone or calendar.
Running large-scale, performance-sensitive distributed databases on K8s requires balancing between latency, reliability, and cost efficiency. At Flipkart, we tackled this challenge by leveraging K8s Local Persistent Volumes (Local PVs) to optimize both performance and infrastructure costs for our stateful workloads.
With a storage footprint of 4PB of directly attached SSDs, 15PB of directly attached HDDs, comprising 1000 K8s stateful nodes spanning across 3 clusters (2 on-prem & 1 on public cloud infrastructure) LocalPV storage currently powers various internal database platforms (Aerospikes, HBase, TiDB) leveraged by critical business applications at Flipkart.
In this talk, we’ll share practical insights from our journey of scaling database infrastructure with Local PVs. We’ll dive into key challenges and solutions, including dynamic provisioning, workload scheduling, and automating maintenance workflows to ensure operational efficiency at scale.
