Optimizing Container CNI Metrics for Improved Service LevelIndicators and Objectives in Container Networking

Abstract

Container networking is a critical component of cloud computing, providing the infrastructure for the deployment andscaling of containerized applications. However, ensuring high-performance and reliable container networking can bechallenging due to the complexity of container network architectures and associated metrics. This paper proposes a newapproach to optimize container CNI (Container Network Interface) metrics to improve service level indicators (SLIs)and objectives (SLOs) in container networking. The approach involves analyzing key CNI metrics, such as networklatency, bandwidth, and packet loss, and fine-tuning them to optimize network performance and availability. This studyconducted experiments on Kubernetes clusters to validate the approach using different CNI plugins and workloads. Theresults show that optimizing CNI metrics can significantly improve network performance, reduce network downtime,and enhance the overall service level of container networking. The proposed approach provides a practical and effectivesolution for managing container network performance and availability and has the potential to benefit a wide range ofcloud-based applications.