Yes, big data infra works fine in containers. Does not slow and in some
cases can increase performance depending on the virtualization. A big
differentiator comes when one is using persisted storage that can live
across the underlying instance. When the instance (and containers) fail,
then there is
Docker containers work - and so they will work with kubernetes
PersistentVolumes. Nothing would beat bare metal , CPU, and Ram in terms of
speed but containerization / kubernetization makes sense if you want to totally
automate infrastructure as code across clouds.
Rahul
On Jun 27, 2018, 6:23 P
On Tue, Jun 26, 2018 at 3:12 AM, Pierre Mavro wrote:
> Hi,
>
> Regarding the limits in linux cgroups (as used in Kubernetes/Mesos), I
> was wondering if there are any recommendation (didn't find anything on
> this topic).
>
> In general on Java 8 running instances, it is advised to run those
> opt
The use of Mesos in production for cassandra was a failure due to the
inability to reserve network bandwidth as Mesos can only allocate cpu and
memory profiles to a task. So, assuming you are either running on
dedicated/manually controlled VM's, or are no running a product/meaningful
data storage f
