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50%+ Cut in Both Storage & Compute Costs: Designing NetEase Games' Cloud Big Data Platform

50%+ Cut in Both Storage & Compute Costs: Designing NetEase Games' Cloud Big Data Platform
2023-09-14
Weihong Ke
Learn how NetEase Games, a global gaming giant, cut 50%+ in both storage and compute costs for their cloud-based big data platform.
Storing Elasticsearch Warm/Cold Data on Object Storage with JuiceFS: A Guide by Kingsoft Cloud

Storing Elasticsearch Warm/Cold Data on Object Storage with JuiceFS: A Guide by Kingsoft Cloud
2022-11-24
Xuefeng Hou
The article discusses reducing the cost of Elasticsearch by using object storage as a disk and evaluating file systems on object storage. It also eva…
Practice of JuiceFS in storing Elasticsearch/ClickHouse warm and cold data

Practice of JuiceFS in storing Elasticsearch/ClickHouse warm and cold data
2022-11-02
Changjian Gao
Enterprises are storing more data. The conflict between storage capacity and query performance as well as storage cost becomes a common challenge. Th…
Optimizing Cloud Storage for ClickHouse Cold Data: Best Practices from Shopee

Optimizing Cloud Storage for ClickHouse Cold Data: Best Practices from Shopee
2021-10-09
Teng@Shopee
The article introduces Shopee ClickHouse's hot and cold storage architecture, which uses JuiceFS to mount remote object storage to local hosts for co…
Exploring storage and computing separation for ClickHouse

Exploring storage and computing separation for ClickHouse
2021-03-15
Changjian Gao
JuiceFS is an open source distributed file system based on object storage and fully compatible with POSIX, while the data caching features of JuiceFS…