One risk in deploying fleets of powerful and flexible clusters on constantly changing infrastructure like Kubernetes is that mistakes happen. Even minute manual errors that slip past review can have substantial impacts on the health and security of your clusters. Such mistakes, in the form of misconfigurations, are reportedly the leading cause of cloud breaches, for example. And, with everything that can happen in the containerized world, these types of mistakes are virtually guaranteed to occur.
The question, then, is how developers and platform engineers can, under today’s accelerated development timeframes, minimize these errors — if not eliminate them entirely