> Op 16 november 2017 om 16:20 schreef David Turner :
>
>
> There is another thread in the ML right now covering this exact topic. The
> general consensus is that for most deployments, a separate network for
> public and cluster is wasted complexity.
>
Indeed. Just for the record (when people
There is another thread in the ML right now covering this exact topic. The
general consensus is that for most deployments, a separate network for
public and cluster is wasted complexity.
On Thu, Nov 16, 2017 at 9:59 AM Jake Young wrote:
> On Wed, Nov 15, 2017 at 1:07 PM Ronny Aasen
> wrote:
>
On Wed, Nov 15, 2017 at 1:07 PM Ronny Aasen
wrote:
> On 15.11.2017 13:50, Gandalf Corvotempesta wrote:
>
> As 10gb switches are expansive, what would happen by using a gigabit
> cluster network and a 10gb public network?
>
> Replication and rebalance should be slow, but what about public I/O ?
>
On 15.11.2017 13:50, Gandalf Corvotempesta wrote:
As 10gb switches are expansive, what would happen by using a gigabit
cluster network and a 10gb public network?
Replication and rebalance should be slow, but what about public I/O ?
When a client wants to write to a file, it does over the public
Any idea?
I have 1 16 ports 10gb switch, 2 or more 24ports gigabit switches and 5
OSDs (MONs running over them) and 5 hypervisor servers to connect to the
storage
At least 10 ports are needed for each network, thus, 20 ports for both
cluster and public, right ?
I don't have 20 10gb ports
Il
Small info: all of our nodes (3 to 5 plus 6 hypervisors) have 4 10gb ports
but we only have 2 10gb switches (small port numbers, only 16, so we can't
place both network on the same switch)
We use 2 switches for HA in active-backup mode
I was thinking to use both 10gb switches as public network (t
As 10gb switches are expansive, what would happen by using a gigabit
cluster network and a 10gb public network?
Replication and rebalance should be slow, but what about public I/O ?
When a client wants to write to a file, it does over the public network and
the ceph automatically replicate it over
