Research Staff Member at IBM Research - Almaden Research Center
San Francisco, California, United States
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Summary
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Rockstar
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Top School
Dimitris Skourtis is a research staff member at IBM Research in San Francisco with eight years of professional experience and a Ph.D. focused on predictable performance for flash and black-box storage systems. He blends deep distributed-systems research with hands-on engineering, having worked on storage I/O controllers, ESX schedulers, and cloud resource management at VMware. Dimitris contributes to notable open-source infrastructure—most prominently enhancing the Redpanda streaming platform operator with Kubernetes-aware scaling, rolling upgrades, storage configuration, and rack awareness—demonstrating practical expertise in cloud-native orchestration. His background combines rigorous academic training (Ph.D., MMath) with a track record of shipping production-grade systems and automations that bridge research insights and operational realities.
Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!
Role in this project:
Back-end Developer & DevOps Engineer
Contributions:378 reviews, 195 commits, 87 PRs in 1 year 10 months
Contributions summary:Dimitris primarily worked on the Redpanda operator, specifically focusing on features related to Kubernetes resource management. Their contributions included scaling statefulsets to match cluster specifications, injecting node-specific configurations to Pods, and implementing a rolling image update strategy for cluster upgrades. Furthermore, the user enhanced the project by handling storage configurations and applying rack awareness to deployments.
Contributions:12 pushes, 1 branch in 6 years 1 month
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