DevOps & data protection: how to work agile with sensitive data

At Kapernikov, we love to work according to the DevOps philosophy. Through better collaboration between the development and operations departments, it is possible to achieve quicker results in an iterative process. But does this approach also work when building data platforms? And how should development and operations teams work together when sensitive data is involved?

We’ve said it before: we absolutely love DevOps. For Kapernikov, it’s a way to achieve quicker results, to deploy changes to a production environment much smoother, and to enable continuous delivery based on customer feedback. The beauty of DevOps is that its principles apply to any kind of project, be it software development, culture change management or something else. As true data experts, it’s only logical that we also follow a DevOps approach for our wide variety of data projects.

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