* automatically escape reserved keywords for direct usage
* Add reserved keyword support in a ratcheting way, add tests.
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Co-authored-by: Wenxue Zhao <ballista01@outlook.com>
Dynamic resource allocation is similar to storage in the sense that users
create ResourceClaim objects to request resources, same as with persistent
volume claims. The actual resource usage is only known when allocating claims,
but some limits can already be enforced at admission time:
- "count/resourceclaims.resource.k8s.io" limits the number of ResourceClaim objects in
a namespace; this is a generic feature that is already supported also without
this commit.
- "resourceclaims" is *not* an alias - use "count/resourceclaims.resource.k8s.io"
instead.
- <device-class-name>.deviceclass.resource.k8s.io/devices limits the number of
ResourceClaim objects in a namespace such that the number of devices
requested through those objects with that class does not exceed the limit.
A single request may cause the allocation of multiple devices. For exact
counts, the quota limit is based on the sum of those exact counts. For requests
asking for "all" matching devices, the maximum number of allocated devices per
claim is used as a worst-case upper bound.
Requests asking for "admin access" contribute to the quota.
DRA quota: remove admin mode exception
make sure to cleanup after setting RelaxPolicyForUserNamespacePods
setup test variables to be a little more terse and similar between tests
cleanup Allowed checking
Signed-off-by: Peter Hunt <pehunt@redhat.com>
a masked proc mount has traditionally been used to prevent untrusted containers from accessing leaky kernel APIs.
However, within a user namespace, typical ID checks protect better than masked proc. Further, allowing unmasked proc
with a user namespace gives access to a container mounting sub procs, which opens avenues for container-in-container use cases.
Update PSS for baseline to allow a container to access an unmasked /proc, if it's in a user namespace and if the UserNamespacesPodSecurityStandards feature is enabled.
Signed-off-by: Peter Hunt <pehunt@redhat.com>
Some of the E2E node tests were flaky. Their timeout apparently was chosen
under the assumption that kubelet would retry immediately after a failed gRPC
call, with a factor of 2 as safety margin. But according to
0449cef8fd,
kubelet has a different, higher retry period of 90 seconds, which was exactly
the test timeout. The test timeout has to be higher than that.
As the tests don't use the gRPC call timeout anymore, it can be made
private. While at it, the name and documentation gets updated.
The structured parameter allocation logic was written from scratch in
staging/src/k8s.io/dynamic-resource-allocation/structured where it might be
useful for out-of-tree components.
Besides the new features (amount, admin access) and API it now supports
backtracking when the initial device selection doesn't lead to a complete
allocation of all claims.
Co-authored-by: Ed Bartosh <eduard.bartosh@intel.com>
Co-authored-by: John Belamaric <jbelamaric@google.com>
This adds the ability to select specific requests inside a claim for a
container.
NodePrepareResources is always called, even if the claim is not used by any
container. This could be useful for drivers where that call has some effect
other than injecting CDI device IDs into containers. It also ensures that
drivers can validate configs.
The pod resource API can no longer report a class for each claim because there
is no such 1:1 relationship anymore. Instead, that API reports claim,
API devices (with driver/pool/device as ID) and CDI device IDs. The kubelet
itself doesn't extract that information from the claim. Instead, it relies on
drivers to report this information when the claim gets prepared. This isolates
the kubelet from API changes.
Because of a faulty E2E test, kubelet was told to contact the wrong driver for
a claim. This was not visible in the kubelet log output. Now changes to the
claim info cache are getting logged. While at it, naming of variables and some
existing log output gets harmonized.
Co-authored-by: Oksana Baranova <oksana.baranova@intel.com>
Co-authored-by: Ed Bartosh <eduard.bartosh@intel.com>
Publishing ResourceSlices now supports network-attached devices and the new
v1alpha3 API. The logic for splitting up across different slices is missing.
