Performance Optimization of File Systems for Docker Containers

The performance of file systems plays a crucial role in containerized environments, directly affecting the efficiency and scalability of applications deployed using Docker.This paper explores the impact of various file systems on Docker container performance, focusing on metrics such as I/O throughput, latency, and resource usage.Through an experimental evaluation of file systems, including OverlayFS, Advanced Multi-Layered Unification File System (AUFS), and B-Tree File System (Btrfs), their behavior under different workloads is analyzed.Additionally, the techniques to improve file system performance are proposed, leveraging DevOps tools for monitoring and automation.The findings of this research offer actionable insights for system administrators and DevOps engineers seeking to optimize container storage performance in both cloud and on-premises environments.