Sacheendra Talluri

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Amsterdam, The Netherlands

I work on autoscaling stateful systems at ClickHouse. The problems I look at are when scaling is worthwhile and how to keep a fleet of autoscaling services running reliably.

Previously, I researched resource management and fault tolerance of cloud computing systems. My research explored how ecosystem capabilities shape scheduler design, which APIs workloads need beyond resource allocation, and how realistic failures affect system behavior. I earned my PhD from Vrije Universiteit Amsterdam in the Massivizing Computer Systems group.

Due to amazing collaborators, I had the opportunity to be involved in various research and engineering projects. I worked on the Kubernetes container orchestrator, tracing serverless applications, Go and JSONPath compilers, and the reliability of LLM services.

selected publications

  1. cua_checkpoint.png
    Cloud Uptime Archive: Open-Access Availability Data of Web, Cloud, and Gaming Services
    Sacheendra Talluri, Dante Niewenhuis, Xiaoyu Chu, and 4 more authors
    IEEE Transactions on Parallel and Distributed Systems, May 2026
  2. hpts_autoscaling.png
    Autoscaling Is Not Just Resource Allocation
    Sacheendra Talluri, Marvin Beckers, Frank Rosner, and 7 more authors
    Presentation at the 21st International Workshop on High Performance Transaction Systems (HPTS) , 2026
  3. gpjson_overview2.png
    GpJSON: High-performance JSON Data Processing on GPUs
    Sacheendra Talluri, Guido Walter Di Donato, Luca Danelutti, and 5 more authors
    Proceedings of the VLDB Endowment, 2025