Replicates nfd-daemonset-combined.yaml.template.
In addition to the overlay we need to add a separate set of patches
under components/common in order to handle the double-container pod.
Implement functionality virtually replicating deployment templates for
nfd-master and nfd-worker daemonset (nfd-master.yaml.template and
nfd-worker-daemonset.yaml.template) by adding a kustomize overlay named
"default".
We split the resources into multiple bases (rbac, master and
worker-daemonset) so that relevant parts are re-usable in
other deployment scenarios added later (e.g. "one-shot job", and
"combined daemonset").
This patch adds one component (components/common) doing the required
kustomization for the example deployment.
The naming was changed in when with cpuid v2
(github.com/klauspost/cpuid/v2) and we didn't catch this in NFD. No
issue reports of the inadvertent naming change so let's just adapt to
the updated naming in NFD configuration. The SSE4* labels are disabled
by default so they're not widely used, if at all.
Mount /usr/lib and /usr/src as /host-usr/lib and /host-usr/src inside the pod
to allow NFD to search for the kernel configuration file inside /usr.
This solves the problem of the kernel config file not being present in /boot
on s390x RHCOS.
Signed-off-by: Jan Schintag <jan.schintag@de.ibm.com>
There are cases when the only available metadata for discovering
features is the node's name. The "nodename" rule extends the custom
source and matches when the node's name matches one of the given
nodename regexp patterns.
It is also possible now to set an optional "value" on custom rules,
which overrides the default "true" label value in case the rule matches.
In order to allow more dynamic configurations without having to modify
the complete worker configuration, custom rules are additionally read
from a "custom.d" directory now. Typically that directory will be filled
by mounting one or more ConfigMaps.
Signed-off-by: Marc Sluiter <msluiter@redhat.com>
This commit adds Helm chart for node-feature-discovery
Signed-off-by: Adrian Chiris <adrianc@nvidia.com>
Signed-off-by: Ivan Kolodiazhnyi <ikolodiazhny@nvidia.com>
