Don't import the kubernetes tests/e2e "root" package (we still use the
test/e2e/framework). We only used the simple e2e runner function from
there so copy that over to the nfd test/e2e package. This change removes
a lot of dependencies speeding up builds.
Rewrite the generate.sh into update_codegen inspired in
k8s.io/code-generator documentation.
Signed-off-by: Carlos Eduardo Arango Gutierrez <eduardoa@nvidia.com>
Let's update the cpuid to v2.2.6 release, released on November 6th 2023,
as it brings information about TDX Guests virtualised atop of Hyper-V.
cpuid's changelog:
```
v2.2.6 (Latest)
What's Changed
* Add Intel apx, avx10, keylocker by klauspost in 134
* Update README.md by klauspost in 136
* Detect TDX Guest when it's virtualised using Hyper-V by fidencio in 138
```
Signed-off-by: Fabiano Fidêncio <fabiano.fidencio@intel.com>
Expose metrics via prometheus.monitoring.coreos.com/v1
The exposed metrics are
| Metric | Type | Meaning |
| --------------- | ---------------- | ---------------- |
| `nfd_master_build_info` | Gauge | Version from which nfd-master was built. |
| `nfd_worker_build_info` | Gauge | Version from which nfd-worker was built. |
| `nfd_updated_nodes` | Counter | Time taken to label a node |
| `nfd_crd_processing_time` | Gauge | Time taken to process a NodeFeatureRule CRD |
| `nfd_feature_discovery_duration_seconds` | HistogramVec | Time taken to discover features on a node |
Signed-off-by: Carlos Eduardo Arango Gutierrez <eduardoa@nvidia.com>
Co-authored-by: Markus Lehtonen <markus.lehtonen@intel.com>
Let's update the cpuid to its v2.2.5 release, released on June 2nd,
2023, as it brings in information about TDX guests.
Signed-off-by: Fabiano Fidêncio <fabiano.fidencio@intel.com>
Bump cpuid version to v2.2.4 in the go.mod so that WRMSRNS (
Non-Serializing Write to Model Specific Register) and MSRLIST
(Read/Write List of Model Specific Registers) instructions are
detectable.
Signed-off-by: Muyassarov, Feruzjon <feruzjon.muyassarov@intel.com>
Bump cpuid to v2.2.3 which adds support for detecting Intel Sierra
Forest instructions like AVXIFMA, AVXNECONVERT, AVXVNNIINT8 and
CMPCCXADD.
Signed-off-by: Muyassarov, Feruzjon <feruzjon.muyassarov@intel.com>
Add a cluster-scoped Custom Resource Definition for specifying labeling
rules. Nodes (node features, node objects) are cluster-level objects and
thus the natural and encouraged setup is to only have one NFD deployment
per cluster - the set of underlying features of the node stays the same
independent of how many parallel NFD deployments you have. Our extension
points (hooks, feature files and now CRs) can be be used by multiple
actors (depending on us) simultaneously. Having the CRD cluster-scoped
hopefully drives deployments in this direction. It also should make
deployment of vendor-specific labeling rules easy as there is no need to
worry about the namespace.
This patch virtually replicates the source.custom.FeatureSpec in a CRD
API (located in the pkg/apis/nfd/v1alpha1 package) with the notable
exception that "MatchOn" legacy rules are not supported. Legacy rules
are left out in order to keep the CRD simple and clean.
The duplicate functionality in source/custom will be dropped by upcoming
patches.
This patch utilizes controller-gen (from sigs.k8s.io/controller-tools)
for generating the CRD and deepcopy methods. Code can be (re-)generated
with "make generate". Install controller-gen with:
go install sigs.k8s.io/controller-tools/cmd/controller-gen@v0.7.0
Update kustomize and helm deployments to deploy the CRD.
Enable transmitting the discovered "raw" features over the gRPC API.
Extend pkg/api/feature with protobuf and gRPC code. In this, utilize
go-to-protobuf from k8s code-generator for auto-generating the gRPC
interface from golang code. The tool can be Installed with:
go install k8s.io/code-generator/cmd/go-to-protobuf@v0.20.7
The auto-generated code is (re-)generated/updated with "make apigen".
The NodeResourceTopology API has been made cluster
scoped as in the current context a CR corresponds to
a Node and since Node is a cluster scoped resource it
makes sense to make NRT cluster scoped as well.
Ref: https://github.com/k8stopologyawareschedwg/noderesourcetopology-api/pull/18
Signed-off-by: Swati Sehgal <swsehgal@redhat.com>
There have been recent changes made to the noderesourcetopology API
storing the proto file generated using go-to-protobuf tool and
this code inports the proto generated in the API in the topology-updater.proto
The PRs corresponding to the changes are as follows:
https://github.com/k8stopologyawareschedwg/noderesourcetopology-api/pull/9https://github.com/k8stopologyawareschedwg/noderesourcetopology-api/pull/13
Commands used to generate topology-updater.pb.go file:
go install github.com/golang/protobuf/protoc-gen-go@v1.4.3
go mod vendor
protoc --go_opt=paths=source_relative --go_out=plugins=grpc:. pkg/topologyupdater/topology-updater.proto -I. -Ivendor
As part of implmentation of this patch, reserved (non-allocatable) CPUs
are evaluated by performing a difference between all the CPUs on a system
(determined by using ghw) and allocatable CPUs (determined by querying
GetAllocatableResources podResource API endpoint).
When aggregator creates the NUMA zones, it will skip the zone creation if
there are no allocatable resources. In this update we creates those missing
zone with zero allocatable/available resources so we won't have holes in the
array of reported zones.
Co-Authored-by: Talor Itzhak <titzhak@redhat.com>
Signed-off-by: Swati Sehgal <swsehgal@redhat.com>
- This patch allows to expose Resource Hardware Topology information
through CRDs in Node Feature Discovery.
- In order to do this we introduce another software component called
nfd-topology-updater in addition to the already existing software
components nfd-master and nfd-worker.
- nfd-master was enhanced to communicate with nfd-topology-updater
over gRPC followed by creation of CRs corresponding to the nodes
in the cluster exposing resource hardware topology information
of that node.
- Pin kubernetes dependency to one that include pod resource implementation
- This code is responsible for obtaining hardware information from the system
as well as pod resource information from the Pod Resource API in order to
determine the allocatable resource information for each NUMA zone. This
information along with Costs for NUMA zones (obtained by reading NUMA distances)
is gathered by nfd-topology-updater running on all the nodes
of the cluster and propagate NUMA zone costs to master in order to populate
that information in the CRs corresponding to the nodes.
- We use GHW facilities for obtaining system information like CPUs, topology,
NUMA distances etc.
- This also includes updates made to Makefile and Dockerfile and Manifests for
deploying nfd-topology-updater.
- This patch includes unit tests
- As part of the Topology Aware Scheduling work, this patch captures
the configured Topology manager scope in addition to the Topology manager policy.
Based on the value of both attribues a single string will be populated to the CRD.
The string value will be on of the following {SingleNUMANodeContainerLevel,
SingleNUMANodePodLevel, BestEffort, Restricted, None}
Co-Authored-by: Artyom Lukianov <alukiano@redhat.com>
Co-Authored-by: Francesco Romani <fromani@redhat.com>
Co-Authored-by: Talor Itzhak <titzhak@redhat.com>
Signed-off-by: Swati Sehgal <swsehgal@redhat.com>
Setup the topologyupdater API for gRPC communication of
nfd-topology-updater with master
We generate pb.go file to reflect latest dependency changes
using github.com/golang/protobuf/protoc-gen-go and generate
grpc files via:
`protoc pkg/topologyupdater/topology-updater.proto --go_out=plugins=grpc:.`
Please refer to: https://github.com/k8stopologyawareschedwg/noderesourcetopology-api/blob/master/pkg/apis/topology/v1alpha1/types.go
Co-Authored-by: Artyom Lukianov <alukiano@redhat.com>
Co-Authored-by: Francesco Romani <fromani@redhat.com>
Signed-off-by: Swati Sehgal <swsehgal@redhat.com>
The new version adds AVX512-FP16 (half precision floating-point)
support available on Sapphire Rapids.
Signed-off-by: Mikko Ylinen <mikko.ylinen@intel.com>
Add support for detecting configuration file changes via file system
notifications (fsnotify). Watches are added for the whole directory
chain (up to root directory) so that all changes (even directory
renames) affecting the given configuration file path are captured.
Previously dynamic (re-)configuration of nfd-worker was implemented by
(re-)reading the configuration file on every labeling pass. This was
simple and effective, even if a bit wasteful. However, it didn't provide
asynchronous configuration updates that will be required for e.g.
controlling the "sleep-interval" parameter dynamically which will be
implemented by later patches.
