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From Object Storage to K8s+JuiceFS: 85% Storage Cost Cut, HDFS-Level Performance

From Object Storage to K8s+JuiceFS: 85% Storage Cost Cut, HDFS-Level Performance
2024-02-07
Experienced JuiceFS user
Explore the evolution of a financial technology company's big data platform on the cloud, transitioning from object storage + EMR to K8s+JuiceFS.
NAVER, Korea's No.1 Search Engine, Chose JuiceFS over Alluxio for AI Storage

NAVER, Korea's No.1 Search Engine, Chose JuiceFS over Alluxio for AI Storage
2024-01-17
Nam Kyung-wan
Discover how NAVER, South Korea's top search engine, overcame AI storage challenges by choosing JuiceFS over Alluxio.
From Hadoop to Cloud: Why and How to Decouple Storage and Compute in Big Data Platforms

From Hadoop to Cloud: Why and How to Decouple Storage and Compute in Big Data Platforms
2023-11-01
Rui Su
Learn the importance and feasibility of storage-compute decoupling and explore available market solutions.
Why DMALL Switched to a Big Data Storage-Compute Decoupled Architecture

Why DMALL Switched to a Big Data Storage-Compute Decoupled Architecture
2023-09-28
Ming Li
DMALL, Asia's leading omnichannel digital retail solution provider, switched from a storage-compute coupled architecture to decouple architecture. In…
Douban Achieved an Elastic Platform & Simplified Storage Using Spark+K8s+JuiceFS

Douban Achieved an Elastic Platform & Simplified Storage Using Spark+K8s+JuiceFS
2023-05-10
Fengyu Cao
By migrating from DPark+Mesos+MooseFS to Spark+K8s+JuiceFS, Douban achieved an elastic platform, simplified storage management, and improved query ef…
China Telecom Manages PB-Level Data by Separating Compute & Storage with JuiceFS

China Telecom Manages PB-Level Data by Separating Compute & Storage with JuiceFS
2023-03-17
Lei Yang
China Telecom's big data team handles massive data at the PB level on a daily basis, and it resolved this by implementing storage and computing separ…
Setting Up a Cloud-Based Machine Learning Platform with JuiceFS: A Use Case from a Quantitative Firm

Setting Up a Cloud-Based Machine Learning Platform with JuiceFS: A Use Case from a Quantitative Firm
2022-11-11
Jianhong Li
The article outlines the storage requirements for setting up a cloud-based machine learning platform. JuiceFS, a distributed file system that is com…
How to effectively reduce the load of HDFS cluster for Qutoutiao

How to effectively reduce the load of HDFS cluster for Qutoutiao
2021-05-06
Changjian Gao
Qutoutiao big data platform currently has a nearly 1,000-node HDFS cluster, carrying the function of storing the last few months of hot data, the dai…
Why disaggregated compute and storage is future

Why disaggregated compute and storage is future
2018-07-08
Davies, CEO & Founder
This topic is an issue that we have been discussing with our clients in the past few months. It is also a question that many big companies are thinki…