<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:sy="http://purl.org/rss/1.0/modules/syndication/" xmlns:media="http://search.yahoo.com/mrss/"><channel><title>Migration on Shaowen Chen's Website</title><link>https://www.chenshaowen.com/en/tags/migration/</link><description>Recent content in Migration on Shaowen Chen's Website</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>&amp;copy;2016 - {year}, All Rights Reserved.</copyright><lastBuildDate>Wed, 25 Dec 2019 00:00:00 +0000</lastBuildDate><sy:updatePeriod>weekly</sy:updatePeriod><atom:link href="https://www.chenshaowen.com/en/tags/migration/atom.xml" rel="self" type="application/rss+xml"/><item><title>Backing Up a Kubernetes Cluster with Velero</title><link>https://www.chenshaowen.com/en/blog/backup-kubernetes-cluster-using-velero.html</link><pubDate>Wed, 25 Dec 2019 00:00:00 +0000</pubDate><atom:modified>Wed, 25 Dec 2019 00:00:00 +0000</atom:modified><guid>https://www.chenshaowen.com/en/blog/backup-kubernetes-cluster-using-velero.html</guid><description>1. Introduction to Velero Velero is an open-source Kubernetes cluster backup and migration tool from the heptio team (acquired by VMWare).
Velero stores cluster resources in object storage. It supports AWS, Azure, and GCP object storage by default, is compatible with the S3 protocol, and can be extended to other platforms such as Aliyun OSS through plugins.</description><dc:creator>微信公众号</dc:creator><category>Kubernetes</category><category>Velero</category><category>Backup</category><category>Operations</category><category>Learning</category><category>Disaster Recovery</category><category>Migration</category><category>Cluster</category></item><item><title>Several Methods of Django Data Migration (with Code)</title><link>https://www.chenshaowen.com/en/blog/several-methods-of-django-data-migration.html</link><pubDate>Tue, 17 Jan 2017 23:29:15 +0000</pubDate><atom:modified>Tue, 17 Jan 2017 23:29:15 +0000</atom:modified><guid>https://www.chenshaowen.com/en/blog/several-methods-of-django-data-migration.html</guid><description>1. Background In the course of Web development, migrating data between multiple environments (local, testing, and production) comes up often. This article mainly discusses the possible data migration paths involved in Django development, and seeks feasible methods for them. 2. Scenarios There are four data migration targets in total: the</description><dc:creator>微信公众号</dc:creator><category>Django</category><category>Python</category><category>Data</category><category>Migration</category><category>R&amp;D</category></item></channel></rss>