Earlier quoted context omitted.
Sure, Kubernetes can run a database, but not efficiently. Companies with intensive data infrastructure frequently operate at scale without containers, either VMs or bare metal. The larger the data volume, the less likely they are to use containers because efficiency is more important. It is also simpler to manage this kind of thing outside containers, frankly, since you are running a single process per server. People…
Can you point to any resources on the perf implications of docker for databases?
https://www.redhat.com/en/resources/crunchy-data-and-openshi...
The great majority of Kubernetes experts I have met use a managed service and have not been exposed to the internals or the control plane back end. An abstracted version of Kubernetes that works well for most use cases but makes it more difficult to solve some of the problems listed in this thread.
Most folks dont really know Kubernetes. They know how to deploy X application using X abstraction (Helm, Operators, CD tooling) to some worker node in a public cloud using public sources and thats basically it. It's no wonder they cannot solve some of the common problems because they didnt really deploy the apps. They filled out a form and pushed a button.