Ant Data leverages Ant Group's leading technological innovation in big data, databases, and multimedia, with years of industry practice. Through long-term technology planning and continuous innovation, we strive to build world-class data technology and products.
This article examines Rockset’s cloud‑native real‑time analytics database, detailing its document‑oriented data model, RocksDB‑Cloud storage engine, compute‑storage separation, sharding, converged indexing, query processing pipeline, and the implications of OpenAI’s recent acquisition for the broader database ecosystem.
The article introduces LightPool, an open‑source cloud‑native storage‑pool architecture built on NVMe‑over‑Fabric that delivers high performance, low cost, and high availability for large‑scale distributed databases, and explains its design, scheduling, storage engine, and hot‑upgrade/migration capabilities presented at the 30th IEEE HPCA conference.
This article provides a comprehensive technical overview of LiteIO, describing its core and CSI components, their interactions, the complete volume lifecycle within Kubernetes, common implementation pitfalls, and configuration examples for storage pools and agents.
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.
