# System Overview

- [Introduction](/weka-system-overview/about.md): Discover how NeuralMesh delivers a software-only, high-performance, container-native storage system built for AI and data-intensive workloads at scale.
- [Cluster capacity and redundancy management](/weka-system-overview/cluster-capacity-and-redundancy-management.md)
- [Filesystems, object stores, and filesystem groups](/weka-system-overview/filesystems.md): This page describes the three entity types relevant to data storage in the WEKA system.
- [Cluster and filesystem capacity counter definitions](/weka-system-overview/filesystems/cluster-and-filesystem-capacity-counter-definitions.md): Understand the key capacity counters for effective storage management, including space utilization, availability, and data reduction across SSDs and object storage.
- [Networking](/weka-system-overview/networking-in-wekaio.md): Explore network technologies in WEKA, including DPDK, SR-IOV, CPU-optimized networking, UDP mode, high availability, and RDMA/GPUDirect Storage, with configuration guidelines.
- [Data lifecycle management overview](/weka-system-overview/data-storage.md): Explore the principles for data lifecycle management and how data storage is managed in SSD-only and tiered WEKA system configurations.
- [WEKA client and mount modes](/weka-system-overview/weka-client-and-mount-modes.md): Understanding the WEKA system client and possible mount modes of operation in relation to the page cache.
- [Cluster architecture overview](/weka-system-overview/weka-containers-architecture-overview.md): Overview of container-based architecture, where interconnected processes within server-hosted containers provide scalable and resilient storage services in a cluster.
- [Glossary](/weka-system-overview/glossary.md)