Druva, a cloud data protection and management company thinks it can help. Druva's new beta data protection service, offered through its Druva Cloud Platform, delivers application protection which can quickly recover, migrate, or clone Kubernetes workloads from a unified interface.
Want a hard job? Try securing Kubernetes, everyone’s favorite container orchestration program. Even its parent group, the Cloud Native Computing Foundation (CNCF), in its recent Kubernetes security audit, recently reported that many Kubernetes security problems exist because its “configuration and deployment [is] non-trivial, with certain components having confusing default settings, missing operational controls, and implicitly designed security controls.” Druva, a cloud data protection and management company thinks it can help.
Druva’s new beta data protection service, offered through its Druva Cloud Platform, delivers application protection which can quickly recover, migrate, or clone Kubernetes workloads from a unified interface.
It’s designed to protect Kubernetes workloads against such data threats as user error, site outages, and ransomware attacks, the company states. Instead of adopting yet another point backup tool specifically for Kubernetes, businesses can protect Kubernetes applications and their underlying infrastructure within Druva alongside their existing workloads.
This is delivered as a Software-as-a-Service (SaaS). Its features include:
That’s important, said Stephen Manley, Druva’s chief technologist, because we still don’t have an easy-to-manage enterprise data protection solution to secure the entire application, including dependencies on external storage and databases. Sure, there are many Kubernetes data protection programs out there, such as the open-source Project Velero, but Manley claims, “existing protection tools are siloed and do not meet enterprise protection requirements.” In addition, Druva’s service administrators “can securely and seamlessly incorporate Kubernetes protection into their existing policies, while enabling application owners to recover, migrate, and clone applications when necessary.”
Our original Kubernetes tool list was so popular that we've curated another great list of tools to help you improve your functionality with the platform.
Data Visualization in R with ggplot2: A Beginner Tutorial. Learn to visualize your data using R and ggplot2 in this beginner-friendly tutorial that walks you through building a chart for data analysis.
Learn how to load a data set and clean it using R programming and tidyverse tools in this free beginner-level data analysis tutorial.
The agenda of the talk included an introduction to 3D data, its applications and case studies, 3D data alignment and more.
Data Quality Testing Skills Needed For Data Integration Projects. Data integration projects fail for many reasons. Risks can be mitigated when well-trained testers deliver support. Here are some recommended testing skills.