
Karthik Narayanan developed a comprehensive testing suite for the PEAKS Scheduler Plugin in the grafana/scheduler-plugins repository, focusing on quality assurance within Kubernetes environments. He designed and implemented both unit and integration tests in Go, targeting the plugin’s initialization, scoring, and node score normalization logic. By validating behavior against power models and watcher metrics, Karthik ensured the scheduler plugin operated correctly under various scenarios. His work improved test coverage, reducing regression risk and enabling safer pull request reviews. This depth of testing supports more reliable production deployments and accelerates release cycles, reflecting a strong command of Go, Kubernetes, and testing methodologies.
December 2024: Focused on quality assurance for Grafana's PEAKS Scheduler Plugin by delivering comprehensive unit and integration tests for initialization, scoring, and normalization of node scores, ensuring correct behavior within the Kubernetes scheduler. This work reduces regression risk and improves reliability in production deployments.
December 2024: Focused on quality assurance for Grafana's PEAKS Scheduler Plugin by delivering comprehensive unit and integration tests for initialization, scoring, and normalization of node scores, ensuring correct behavior within the Kubernetes scheduler. This work reduces regression risk and improves reliability in production deployments.

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