This guide explains how to set up the high‑performance, cloud‑native LiteIO block storage service on a Kubernetes cluster, covering prerequisite VM preparation, kernel upgrade, Docker and Kubernetes installation, CRI configuration, LiteIO component deployment for both LVM and SPDK engines, and verification of Pods and PVCs.
LiteIO is an open‑source, high‑performance, cloud‑native block device service that uses NVMe‑oF and SPDK to provide point‑to‑point storage pooling, enabling efficient FinOps, serverless scaling, hot upgrades, zero‑copy I/O, snapshots, and thin provisioning for databases and applications in Kubernetes.
This article provides a comprehensive overview of Intel's open‑source SPDK, explaining its user‑space driver model, polling I/O, core components, integration with Ceph, architecture layers, compilation steps, code examples, and design considerations for building high‑performance storage and file‑system solutions.
The article explains how Intel's SPDK and its vhost framework are used in Didi Cloud's Enhanced DC2 solution to achieve low‑latency, high‑IOPS NVMe storage by moving the NVMe driver to user space, eliminating locks and interrupts, and details the architecture, performance testing, and deployment considerations.
This article explains how NVMe technology, combined with Intel's DPDK/SPDK user‑space framework, transforms enterprise storage by reducing I/O latency, simplifying the software stack, and enabling high‑performance NVMe‑oF, FCP, and iSCSI services with detailed architectural diagrams and implementation enhancements.
This article explains how Intel’s DPDK and SPDK technologies enable high‑performance NVMe‑oF storage by leveraging user‑space drivers, RDMA, and modular architecture to reduce latency, improve I/O throughput, and address reliability challenges in modern distributed storage systems.
Tencent Cloud Block Storage (CBS) has evolved through three generations—apllo, atlas, and HiSTOR—adopting a client‑direct, distributed architecture, SPDK, RDMA and user‑space TCP to cut latency to sub‑microseconds while delivering exabyte‑scale throughput, high IOPS, and reliable multi‑copy replication for cloud VM workloads.
This article provides a comprehensive technical guide to DPDK and SPDK, covering their background, architecture, user‑space I/O bypass mechanisms, core performance optimizations such as HugePages, SIMD and cache management, and practical ecosystem recommendations for building high‑throughput network and storage services.
The article explains how solid‑state storage is overtaking traditional disks, introduces the Storage Performance Development Kit (SPDK) as a high‑performance, user‑space solution that leverages NVMe and polled‑mode drivers, and details its architecture, components, protocols, and common FAQs for modern data‑center storage systems.
This article provides a comprehensive technical overview of NVMe over TCP, covering its specification status, required host components, namespace limits, latency impact, OS support, performance considerations with DPDK, TCP congestion control, R2T handling, upgrade procedures, open‑source implementations, comparisons with iSCSI, NVMe/FC, and NVMe/RDMA, as well as practical guidance for data‑center deployments.
The article explains how solid‑state drives are overtaking traditional disks, why storage software now dominates latency, and how the Storage Performance Development Kit (SPDK) uses user‑space drivers and polled‑mode I/O to achieve millions of IOPS with minimal CPU overhead.
This article provides an in‑depth technical overview of DPDK and SPDK, covering their background, the evolution of network I/O, Linux bottlenecks, user‑space I/O via UIO, poll‑mode drivers, performance‑optimizing techniques such as huge pages, SIMD, cache management, and the surrounding ecosystem and adoption.
This article explains how using the Storage Performance Development Kit (SPDK) optimizes virtualized I/O paths for cloud disks, covering its architecture, virtio vring basics, hot‑upgrade solutions, online migration techniques, and io_uring enhancements that together achieve up to 1.2 million IOPS with dramatically reduced latency.
By moving the VM storage stack to SPDK’s user‑space, lock‑free, poll‑based vhost back‑end and leveraging high‑performance Intel NVMe SSDs, Didi Cloud’s enhanced DC2 cuts latency, boosts IOPS to roughly 730 k reads and 470 k writes, and adds hot‑upgrade and automatic recovery for seamless VM storage acceleration.
UCloud’s latest SSD cloud disk redesign dramatically improves performance—raising IOPS by 13‑fold, cutting latency tenfold, and expanding capacity—through a two‑layer IO path, 1 MB metadata shards, multithreaded models, overload protection, online migration, and upcoming RDMA/SPDK‑based ultra‑high‑performance storage solutions.
This article explains how Alibaba Cloud designed a high‑performance local storage solution—leveraging Virtio‑blk, SPDK, and NVMe SSDs—to meet the massive peak pressure, ultra‑low latency, and high IOPS demands of the Alipay red‑packet business, and how the technology is now available in the public cloud.
This article details Alibaba Cloud's high‑performance local storage solution for the massive Alipay Red Packet service, covering business requirements, existing block storage limitations, architectural redesign, key components like Virtio‑blk, SPDK, and NVMe SSD, and performance benchmarks demonstrating dramatically lower latency and higher IOPS.
