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KEP-127: Address more review comments
Co-authored-by: Giuseppe Scrivano <[email protected]> Signed-off-by: Giuseppe Scrivano <[email protected]> Signed-off-by: Rodrigo Campos <[email protected]>
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keps/sig-node/127-user-namespaces/README.md

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@@ -612,7 +612,7 @@ use container runtime versions that have the needed changes.
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##### critests
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- For Alpha, the feature is tested for containerd and CRI-O in cri-tools repo using critest to
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- For Beta, the feature is tested for containerd and CRI-O in cri-tools repo using critest to
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make sure the specified user namespace configuration is honored.
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- <test>: <link to test coverage>
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- Gather and address feedback from the community
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- Be able to configure UID/GID ranges to use for pods
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- Add unit tests that exercise the feature gate switch (see section "Are there
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any tests for feature enablement/disablement?")
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- Add cri-tools test
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- This feature is not supported on Windows.
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- Get review from VM container runtimes maintainers (not blocker, as VM runtimes should just ignore
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the field, but nice to have)
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CRI or CNI may require updating that component before the kubelet.
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-->
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#### Kubelet and Kube-apiserver skew
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The apiserver and kubelet feature gate enablement work fine in any combination:
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1. If the apiserver has the feature gate enabled and the kubelet doesn't, then the pod will show
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that field and the kubelet will ignore it. Then, the pod is created without user namespaces.
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2. If the apiserver has the feature gate disabled and the kubelet enabled, the pod won't show this
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field and therefore the kubelet won't act on a field that isn't shown. The pod is created with
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the feature gate disabled.
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The kubelet can still create pods with user namespaces if static-pods are configured with
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pod.spec.hostUsers and has the feature gate enabled.
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If the kube-apiserver doesn't support the feature at all (< 1.25), a pod with userns will be
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rejected.
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If the kubelet doesn't support the feature (< 1.25), it will ignore the pod.spec.hostUsers field.
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#### Kubelet and container runtime skews
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Some definitions first:
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- New kubelet: kubelet with CRI proto files that includes the changes proposed in
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this KEP.
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pod.specHostUsers, then if the featuregate is disabled all works as expected (no
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user namespace is used).
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We will add tests exercising the `switch` of feature gate itself (what happens
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if I disable a feature gate after having objects written with the new field)
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<!--
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The e2e framework does not currently support enabling or disabling feature
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gates. However, unit tests in each component dealing with managing data, created
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###### How can a rollout or rollback fail? Can it impact already running workloads?
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The rollout is just a feature flag on the kubelet and the kube-apiserver.
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If one APIserver is upgraded while other's aren't and you are talking to a not
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upgraded one, the pod will be accepted (if the apiserver is >= 1.25, rejected if
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< 1.25).
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If one APIserver is upgraded while other's aren't and you are talking to a not upgraded the pod
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will be accepted (if the apiserver is >= 1.25). If it is scheduled to a node that the kubelet has
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the feature flag activated and the node meets the requirements to use user namespaces, then the
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pod will be created with the namespace. If it is scheduled to a node that has the feature disabled,
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it will be created without the user namespace.
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If it is scheduled to a node where the kubelet has the feature flag activated
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and the node meets the requirements to use user namespaces, then the pod will be
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created with the namespace. If it is scheduled to a node that has the feature
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disabled, it will be created without the user namespace.
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On a rollback, pods created while the feature was active (created with user namespaces) will have to
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be re-created without user namespaces.
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On a rollback, pods created while the feature was active (created with user
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namespaces) will have to be re-created to run without user namespaces. If those
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weren't recreated, they will continue to run in a user namespace.
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<!--
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Try to be as paranoid as possible - e.g., what if some components will restart
@@ -841,8 +869,24 @@ will rollout across nodes.
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On Kubernetes side, the kubelet should start correctly.
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On the node runtime side, a pod created with pod.spec.hostUsers=false should be on RUNNING state if
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all node requirements are met. If the CRI runtime or the handler do not support the feature, the kubelet
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returns an error.
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all node requirements are met. If the CRI runtime or the handler do not support the feature, the
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kubelet returns an error.
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When a pod hits this error returned by the kubelet, the status in `kubectl` is shown as
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`ContainerCreating` and the pod events shows:
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```
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Warning FailedCreatePodSandBox 12s (x23 over 5m6s) kubelet Failed to create pod sandbox: user namespaces is not supported by the runtime
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```
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The following kubelet metrics are useful to check:
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- `kubelet_running_pods`: Shows the actual number of pods running
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- `kubelet_desired_pods`: The number of pods the kubelet is _trying_ to run
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If these metrics are very different, it means there are desired pods that can't be set to running.
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If that is the case, checking the pod events to see if they are failing for user namespaces reasons
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(like the errors shown in this KEP) is advised, in which case it is recommended to rollback or
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disable the feature gate.
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<!--
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What signals should users be paying attention to when the feature is young
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###### How can someone using this feature know that it is working for their instance?
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If the runtime doesn't support user namespaces an error is returned by the kubelet.
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If the runtime doesn't support user namespaces an error is returned by the kubelet and the pod cannot be created.
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There are step-by-step examples in the Kubernetes documentation too: https://kubernetes.io/docs/tasks/configure-pod-container/user-namespaces/
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levels that could help debug the issue?
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Not required until feature graduated to beta.
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The error is returned on pod-creation, no need to search for logs.
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The Kubelet will get an error from the runtime and will propagate it to the pod (visible on
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the pod events).
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The idmap mount is created by the OCI runtime, not at the kubelet layer. At the kubelet layer, this
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is just another OCI runtime error.
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- Detection: How can it be detected via metrics? Stated another way:
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how can an operator troubleshoot without logging into a master or worker node?
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Errors are returned on pod creation, directly to the user. No need to use metrics.
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Errors are returned on pod creation, directly to the user (visible on the pod events). No
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need to use metrics.
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See the pod events, it should contain something like:
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levels that could help debug the issue?
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Not required until feature graduated to beta.
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No extra logs, the error is returned to the user.
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No extra logs, the error is returned to the user (visible in the pod events).
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- Testing: Are there any tests for failure mode? If not, describe why.
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@@ -1262,8 +1308,8 @@ writing to this file.
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- Detection: How can it be detected via metrics? Stated another way:
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how can an operator troubleshoot without logging into a master or worker node?
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Errors are returned to the operation failed (like pod creation), no need to see metrics nor
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logs.
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Errors are returned to the operation failed (like pod creation, visible on the pod events),
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no need to see metrics nor logs.
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Errors are returned to the either on:
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* Kubelet initialization: the initialization fails if the feature gate is active and there is a

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