0 views collected around this technical thread.
This article presents JuiceFS, a cloud‑native distributed file system that bridges the gaps between HDFS and object storage, explaining Data Lake and Lakehouse concepts, comparing storage options, detailing JuiceFS's architecture and performance benefits, and showcasing real‑world user case studies.
The 2023 online summit held on August 5‑6 showcases a series of technical talks by industry experts on modern big‑data storage architectures such as Paimon, JuiceFS, Databend, and CloudFS, highlighting cloud‑native design, storage‑compute separation, and practical implementation experiences.
This article examines the evolution of big‑data storage from on‑premise HDFS to cloud‑native object storage, compares their architectures and performance, outlines future lakehouse storage requirements, and demonstrates a practical implementation using the JuiceFS distributed file system.
This article reviews the evolution of file storage, outlines the challenges of the cloud era, and details JuiceFS's design philosophy, architecture, key capabilities, and real‑world use cases such as Kubernetes, AI, big‑data analytics, and NAS migration to the cloud.
This article reviews the evolution of file storage, outlines challenges of cloud‑native data management, and details JuiceFS’s cloud‑native design philosophy, architecture, and key use cases such as Kubernetes, AI, and big‑data workloads.
This article presents Ctrip's experience migrating over 2 PB of cold data to JuiceFS, detailing the system's architecture, metadata engine selection, extensive performance testing, fault‑tolerance analysis, and operational optimizations that reduced storage and maintenance costs while supporting future petabyte‑scale workloads.
This presentation provides a comprehensive overview of JuiceFS, an open‑source cloud‑native distributed file system, detailing its role in modern data lake and lakehouse architectures, comparing it with HDFS and object storage, and highlighting its performance, integration, and community ecosystem.
Shopee ClickHouse implements a cold‑hot storage architecture by mounting JuiceFS‑backed S3 as a remote volume, using table‑level storage policies and TTL‑driven background moves to shift data from SSD to cold storage, achieving cost‑effective scalability, improved disk utilization, and validated performance despite operational challenges such as Redis memory pressure and small‑file handling.