Yifeng Jiang

Jul 31, 2023 | blog.purestorage.com | Somu Rajarathinam |Kirk Borne |Yifeng Jiang |Bala Kannan

In today’s digital landscape, enterprises are increasingly adopting cloud technologies to support their growing businesses and achieve scalability, flexibility, security, and cost-effectiveness. However, as organizations expand their cloud infrastructure across multiple providers, managing and securing data becomes a significant challenge. To address these concerns, companies are turning to multi-cloud storage solutions like Portworx® to build a secure and resilient storage backbone.

Jul 20, 2023 | blog.purestorage.com | Yifeng Jiang

This article on creating scalable and reliable Kubernetes logging originally appeared on Medium. This blog has been replublished with the author’s credit and consent.  Building a basic logging solution for Kubernetes could be as easy as running a couple of commands. However, to support large-scale Kubernetes clusters, the logging solution itself needs to be scalable and reliable. In my previous blog post, I described an overview of my Kubernetes monitoring and logging solution.

Jul 20, 2023 | blog.purestorage.com | Yifeng Jiang

This article on how to build an open data lakehouse was originally published on Medium. the blog has been republished with the author’s credit and consent. Data lakes represent the first step towards gaining insights from ever-growing data. In many cases, it is the first place collected data lands in the data system. A data lake creates two challenges:Data quality and governance. Everything is just a file/object in a data lake. Performance. Limited query optimisation, such as metadata, indexing, etc.

Jul 19, 2023 | blog.purestorage.com | Yifeng Jiang |Cody Hosterman

This article on optimizing deep learning workflows with fast S3 first appeared on Medium. It was replublished with the author’s credit and consent. I know most data scientists do not care about storage, and they shouldn’t. However, having a fast S3 object storage in the system would definitely help optimize deep learning (DL) workflows. Let me explain why “storage actually matters in DL” in this blog post.