Sateesh Chodapuneedi is an architect and engineering leader with 15 years of experience building cloud-native infrastructure and database platforms, currently leading the multi-cloud DBaaS effort at New Relic. He designs highly scalable systems on Kubernetes using Go and distributed databases such as Yugabyte, MySQL, PostgreSQL, and Redis, while driving networking optimizations with Cilium at L3/L4 for exabyte-scale observability ingestion. Previously as Chief Architect at Persistent Systems he conceived a unified multi-cloud management solution spanning AWS, Azure, GCP and private clouds, and has deep operational experience from contributing to Apache CloudStack. A long-time Apache committer, Sateesh blends hands-on backend and DevOps work (including VMware and Nexus vSwitch integrations) with product strategy, roadmap ownership, and technical pre-sales. Based in Bengaluru, he pairs rigorous academic training (M.Tech IIITH) with a track record of turning complex distributed systems and cloud orchestration challenges into production-ready platforms.
Apache CloudStack is an opensource Infrastructure as a Service (IaaS) cloud computing platform
Role in this project:
Back-end Developer & DevOps Engineer
Contributions:10 commits, 16 PRs, 4 pushes in 29 days
Contributions summary:Sateesh's contributions primarily involve enhancing VMware infrastructure management within the CloudStack platform, specifically focusing on integrating support for Cisco Nexus 1000v switches. This includes modifying core VMware resource code to leverage Nexus vSwitches, adding new configuration parameters, and creating new API commands. Further contributions involve upgrading the database schema and related configuration files to support these new features and integration of the Nexus vswitch, demonstrating a combined focus on backend functionality and operational aspects of the platform.
Contributions:39 pushes, 19 branches in 8 years 1 month
apache-cloudstackapachecloudcloudstackjava
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Sateesh Chodapuneedi - Architect & Engineering Leader at Persistent Systems