Intellyx BrainBlog for Kasten by Veeam, in The New Stack
Enterprises that depend upon software innovation and massive scalability for success are inevitably among the most advanced adopters of cloud native computing infrastructure like Kubernetes. These same firms are also often considered to be the “best in class” at adopting DevOps practices.
Kubernetes and DevOps go hand in hand at these leading-edge organizations for three common reasons:
- They need to increasingly release new application features and remediate more issues faster without productivity constraints.
- They must balance a risk-taking, agile, collaborative team mindset with risk-averse security and data protection practices.
- They relentlessly pursue automation to maintain the rate of innovation and customer growth they are committed to.
A core tenet of DevOps is empathy. In strong engineering organizations, teams already have a culture of continually improving performance. But when team members truly strive to understand each other’s needs and trust each other to act in the best interest of the customer, the total impact of the team becomes much more than the sum of its parts.
Data protection solutions needed to support DevOps and Kubernetes environments include secure archival, backup and restore, and disaster recovery — functions that were once considered the domain of data center operators. With software moving to a distributed environment of public and private clouds, a new host of potential threats including service interruptions and ransomware bring data protection into the realm of developers as well.
DevOps practices and Kubernetes orchestration are pushing data protection left in the delivery life cycle. Through this evolving process, data protection allows trust to be earned among innovative product design, engineering and ops teams.
Read the entire BrainBlog here.
