Velero is an open-source backup and recovery tool designed specifically for Kubernetes clusters. It provides a straightforward way to protect your Kubernetes resources, including persistent volumes, namespaces, and custom resources, by taking backups and restoring them in case of data loss or disaster recovery scenarios. In this blog you will learn the different use cases for Velero and the two ways to install Velero, using the Velero CLI and using a Helm chart.

Open source Velero is a popular choice amongst Kubernetes community for backup of their application. Along with scheduling regular backups for your Kubernetes clusters, monitoring Velero and getting automated alerts for failed Velero backups is also important. When your most important backup fails, you want to know about it immediately and make sure your application notifies you.

In the cloud native world, open source solutions are popular and widely used. Velero, an open source software, is quickly becoming a standard for Kubernetes backup and has been pulled over 100M times from Docker Hub! It is the most popular choice amongst Kubernetes community for backup and recovery. In a recent episode of TFiR, Swapnil Bhartiya sits down with Sathya Sankaran, Chief Operating Officer at CloudCasa by Catalogic, to talk about the power and potential of open source ecosystem.

I recently had a chance to speak with Chris Mellor at Block and Files about the emergence of Velero as the standard for Kubernetes data protection. I shared some ballpark estimates of market share across open source and commercial vendors to make my case. These numbers were obtained through diligent market research. They are estimates, but they are not imaginary.

Kubernetes has become the de facto standard for container orchestration and management, providing a powerful platform for deploying and managing containerized applications. One of the key benefits of Kubernetes is its support for namespaces, which allow users to isolate groups of resources within a cluster, providing a level of isolation and resource allocation for different applications or teams.

When we began developing CloudCasa, a Software as a Service (SaaS) platform, for protecting Kubernetes applications, we looked at the data protection landscape and focused on areas that we could improve upon and give back to the user community. We wanted to provide them with a quick and efficient way in which they could start protecting this infrastructure with minimal effort, overhead, and most importantly minimal cost.