Author: Roman Bednář (Red Hat)
In the recent Kubernetes v1.28 release, we (SIG Storage) introduced a new alpha feature that aims to improve PersistentVolume (PV) storage management and help cluster administrators gain better insights into the lifecycle of PVs. With the addition of the lastPhaseTransitionTime
field into the status of a PV, cluster administrators are now able to track the last time a PV transitioned to a differentphase, allowing for more efficient and informed resource management.
Why do we need new PV field?
PersistentVolumes in Kubernetes play a crucial role in providing storage resources to workloads running in the cluster. However, managing these PVs effectively can be challenging, especially when it comes to determining the last time a PV transitioned between different phases, such asPending
, Bound
or Released
. Administrators often need to know when a PV was last used or transitioned to certain phases; for instance, to implement retention policies, perform cleanup, or monitor storage health.
In the past, Kubernetes users have faced data loss issues when using the Delete
retain policy and had to resort to the safer Retain
policy. When we planned the work to introduce the new lastPhaseTransitionTime
field, we wanted to provide a more generic solution that can be used for various use cases, including manual cleanup based on the time a volume was last used or producing alerts based on phase transition times.
How lastPhaseTransitionTime helps
Provided you've enabled the feature gate (see How to use it, the new .status.lastPhaseTransitionTime
field of a PersistentVolume (PV) is updated every time that PV transitions from one phase to another. `Whether it's transitioning from
Pendingto
Bound,
Boundto
Released, or any other phase transition, the
lastPhaseTransitionTimewill be recorded. For newly created PVs the phase will be set to
Pendingand the
lastPhaseTransitionTime` will be recorded as well.
This feature allows cluster administrators to:
Implement Retention Policies
Monitor Storage Health
How to use it
The lastPhaseTransitionTime
field is alpha starting from Kubernetes v1.28, so it requires the PersistentVolumeLastPhaseTransitionTime
feature gate to be enabled.
If you want to test the feature whilst it's alpha, you need to enable this feature gate on the kube-controller-manager
and the kube-apiserver
.
Use the --feature-gates
command line argument:
`
--feature-gates="...,PersistentVolumeLastPhaseTransitionTime=true"
`
Keep in mind that the feature enablement does not have immediate effect; the new field will be populated whenever a PV is updated and transitions between phases. Administrators can then access the new field through the PV status, which can be retrieved using standard Kubernetes API calls or through Kubernetes client libraries.
Here is an example of how to retrieve the lastPhaseTransitionTime
for a specific PV using the kubectl
command-line tool:
`
kubectl get pv -o jsonpath='{.status.lastPhaseTransitionTime}'
`
Going forward
This feature was initially introduced as an alpha feature, behind a feature gate that is disabled by default. During the alpha phase, we (Kubernetes SIG Storage) will collect feedback from the end user community and address any issues or improvements identified.
Once sufficient feedback has been received, or no complaints are received the feature can move to beta. The beta phase will allow us to further validate the implementation and ensure its stability.
At least two Kubernetes releases will happen between the release where this field graduates to beta and the release that graduates the field to general availability (GA). That means that the earliest release where this field could be generally available is Kubernetes 1.32, likely to be scheduled for early 2025.
Getting involved
We always welcome new contributors so if you would like to get involved you can join our Kubernetes Storage Special-Interest-Group (SIG).
If you would like to share feedback, you can do so on ourpublic Slack channel. If you're not already part of that Slack workspace, you can visit https://slack.k8s.io/ for an invitation.
Special thanks to all the contributors that provided great reviews, shared valuable insight and helped implement this feature (alphabetical order):
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