Lalith Suresh

CEO @ Feldera | Incremental Computing

Role
CEO & Co-founder at Feldera
Location
Palo Alto, CA, US
LinkedIn followers
500 followers
General Business & ManagementView LinkedIn profile

About Lalith Suresh

I\'m the CEO and a co-founder at Feldera.Feldera is the world\'s first Incremental Compute engine that can maintain *any* SQL incrementally - even for deeply nested views with hundreds of joins, distincts, window functions, aggregates, unions and recursion. It completely eliminates the problem of full recomputes like with a batch engine. Enterprises are migrating hundreds of thousands of lines of SQL from their warehouses to Feldera and seeing sub-second updates in real time, with up to 95% lower cloud spend.Previously, I was a Senior Researcher at VMware Research, where I led efforts to simplify cluster management for large-scale distributed systems. The Anvil and Sieve projects demonstrated how to build robust Kubernetes operators/controllers using formal verification and automated testing. These projects have discovered more than 40+ reliability bugs in popular open-source Kubernetes controllers. The DCM project showed how to build scalable and flexible cluster managers (like Kubernetes), using techniques like incremental view maintenance and constraint optimization. I also worked on other topics like failure detection, programmable networking, remote memory, scalable data systems, and low-latency measurement.During my PhD, I invented techniques to deliver predictable performance for distributed systems. C3 ships with ElasticSearch and OpenSearch (as the Adaptive Replica Selection feature), and influenced the design of Spotify’s ELS. Wisp is an end-to-end rate limiter for micro-services settings, which led to internal prototypes at VMware.More info about my research and publications can be found here: https://lalith.in/research/

Experience

  1. CEO & Co-founder

    Feldera

    Mar 2024 — Present · San Francisco, CA, US

Education

  • Malaviya National Institute of Technology Jaipur

    B.Tech, Computer Engineering

    2006 — 2010

  • Technische Universität Berlin

    Doctor of Philosophy (PhD), Electrical Engineering and Computer Science

    2012 — 2016

  • Instituto Superior Técnico

    European Master in Distributed Computing, Distributed Computing

    2010 — 2012

  • KTH Royal Institute of Technology

    Master of Science, Distributed Computing

    2010 — 2012

Skills

  • Linux
  • C++
  • C
  • Wireless Networking
  • Python
  • Networking
  • Distributed Systems
  • Parallel Computing
  • Open Source
  • Java

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