Node-Level Optimization in Large Clusters Powered by Containerd Plugin

Explore node-level optimization techniques for large Kubernetes clusters using Containerd plugins in this 40-minute conference talk by Tianyi Tang from Alibaba Cloud. Learn how to address challenges such as pod cold-start time, noise neighbor effects, and IO utilization management in multi-tenant environments. Discover solutions leveraging Containerd's plugin mechanism, lazy-loading images, and P2P accelerators to enhance image distribution efficiency and mitigate IO pressure-related issues. Gain insights into implementing dynamic image garbage collection plugins and read/write disk separation to improve cluster performance and scalability. Understand how these innovations can benefit the broader Containerd community and provide out-of-the-box solutions for tackling common obstacles in large-scale Kubernetes deployments.

Node-Level Optimization in Large Cluster Powered by Containerd Plugin - Tianyi Tang, Alibaba Cloud