
Developed a Cgroup-aware container resource statistics feature for the marimo-team/marimo repository, enabling accurate memory and CPU usage reporting within Docker and Kubernetes environments. Leveraging Python and TypeScript, the work involved implementing cross-platform cgroup detection and updating both backend API endpoints and frontend displays to reflect container-specific resource limits. The solution included robust test coverage and safeguards to ensure correct behavior across different operating systems and container configurations. By aligning reported metrics with actual container limits, this feature improved the precision of resource monitoring, supporting more effective capacity planning and troubleshooting for containerized deployments. No bugs were reported or fixed.
Concise monthly summary for 2026-01 focusing on business value and technical achievements in marimo. Delivered a Cgroup-aware container resource statistics feature, improving resource monitoring accuracy for containerized environments (Docker/Kubernetes) and aligning metrics with container limits. Implemented cross-platform cgroup detection, updated backend /api/usage and frontend memory reporting, and added tests to validate container-aware stats.
Concise monthly summary for 2026-01 focusing on business value and technical achievements in marimo. Delivered a Cgroup-aware container resource statistics feature, improving resource monitoring accuracy for containerized environments (Docker/Kubernetes) and aligning metrics with container limits. Implemented cross-platform cgroup detection, updated backend /api/usage and frontend memory reporting, and added tests to validate container-aware stats.

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