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109 changes: 109 additions & 0 deletions website/blog/2026/05/05-19-in-place-pod-resource-updates.md
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---
title: Adoption of In-Place Pod Resource Updates in Gardener
linkTitle: Adoption of In-Place Pod Resource Updates in Gardener
newsSubtitle: May 19, 2026
publishdate: 2026-05-19
authors:
- avatar: https://avatars.githubusercontent.com/vitanovs
login: vitanovs
name: Stoyan Vitanov
aliases: [/blog/2026/05/19/in-place-pod-resource-updates]
tags:
- autoscaling
- vpa
---

As Kubernetes workloads evolve, the need for dynamic resource adjustments becomes increasingly critical. Traditional `Pod` resource updates require `Pod` recreation, leading to increased operational costs and potential service disruptions.
To address this shortcoming, Kubernetes introduced a new way of updating `Pod` resources _in-place_, without the need to _evict_ workloads in order to apply the configuration change. With the [v1.27](https://kubernetes.io/releases/1.27/) release, a new `resize` subresource got introduced to the `Pod`'s API, acting as an interface to the underlying CRI implementations that manage the _cgroups_ settings.

## What are the key benefits of _in-place_ Pod resource updates?

Having the ability to bypass the rollout process when updating `Pod` resources drastically improves the scaling efficiency. Eliminating the overhead of `Pod` scheduling and application initialization is among the primary benefits of the new _update_ mechanism. The following points summarize the key factors when considering using _in-place_ updates:

- __Zero-downtime scaling__: Resources are adjusted without `Pod` recreation or service interruption
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- __Reduced scheduling overhead__: No need to re-schedule `Pod`s across the cluster
- __Reduced initialization overhead__: Applications __do not__ go through full initialization all over again
- __Preserved `Pod` identity__: `Pod` names, IPs, and volumes remain unchanged
- __Improved resource efficiency__: More granular and responsive resource optimization
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To read more about the feature, refer to the official [documentation](https://kubernetes.io/blog/2025/12/19/kubernetes-v1-35-in-place-pod-resize-ga/).

## How does Gardener utilize the new _update_ mechanism?

Gardener relies heavily on the [Vertical Pod Autoscaler](https://github.com/kubernetes/autoscaler) to advance the resource usage optimization and keep the _out-of-the-box_ components running as efficiently as possible. With the [v1.4.0](https://github.com/kubernetes/autoscaler/releases/tag/vertical-pod-autoscaler-1.4.0) release, Vertical Pod Autoscaler introduced the ability to configure a new `.spec.updatePolicy.updateMode` for the `VerticalPodAutoscaler` resources:

```yaml
apiVersion: autoscaling.k8s.io/v1
kind: VerticalPodAutoscaler
metadata:
name: demo-vpa
spec:
targetRef:
apiVersion: "apps/v1"
kind: Deployment
name: demo
updatePolicy:
updateMode: "InPlaceOrRecreate"
```

effectively performing _in-place_ resource updates and _falling back_ to _eviction_ in case of failure. Adopting this release created the opportunity to leverage the new _update_ mechanism, and with Gardener [v1.137](https://github.com/gardener/gardener/releases/tag/v1.137.0), a new automatic migration mechanism was introduced.

Historically, `VerticalPodAutoscaler` resources, created for the different Gardener components, were configured to use _update mode_ `Auto` as it was the default option that mimics the behavior of `Recreate` - _evicting_ `Pod`s to apply newly [calculated resource recommendations](https://github.com/kubernetes/autoscaler/blob/master/vertical-pod-autoscaler/docs/components.md#implementation-of-the-recommender). The subsequent Vertical Pod Autoscaler [v1.5.0](https://github.com/kubernetes/autoscaler/releases/tag/vertical-pod-autoscaler-1.5.0) release deprecated the `Auto` _update mode_, leaving only two viable options for continuous scaling: `Recreate` and `InPlaceOrRecreate`. The following graph illustrates the _flow_ of `Pod` resource updates used in Gardener:

```mermaid
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graph LR
A[VPA Recommender] -->|new recommendation| B[VPA Updater]
B -->|PATCH /resize subresource| C[API Server]
C -->|sends update request| D[Kubelet]
D -->|sends update request| E[CRI Runtime]
E -->|updates cgroups| F[Running Container]
F -->|updates status| D
D -->|updates Pod status| C
```

The _key_ functionality behind this improved resource management is Linux [cgroups](https://www.man7.org/linux/man-pages/man7/cgroups.7.html), which are responsible for grouping processes and limiting the host resources they can utilize.

### How are `VerticalPodAutoscaler` resources configured?

Like any cluster-wide configuration change, migrating the `VerticalPodAutoscaler` resources' _update mode_ presented a unique challenge that solved this by leveraging the [Gardener Resource Manager](https://github.com/gardener/gardener/blob/master/docs/concepts/resource-manager.md) and its extensible architecture.

We developed a dedicated `MutatingWebhook` that automatically filters relevant `VerticalPodAutoscaler` resources and applies the _update mode_ change, making the migration seamless. The webhook is deployed through the `VPAInPlaceUpdates` _feature gate_, available in both `gardenlet` and [Gardener Operator](https://github.com/gardener/gardener/blob/master/docs/concepts/operator.md).
In case the feature gate gets disabled, there is also a _rollback_ mechanism, present in both components. During the initialization of either the `gardenlet` or the Gardener operator, the _update mode_ gets automatically reverted. These changes have been available since Gardener [v1.137](https://github.com/gardener/gardener/releases/tag/v1.137.0), making _in-place_ update mode adoption fully operational and ready for production use.

For detailed information on [usage](https://github.com/gardener/gardener/blob/master/docs/usage/autoscaling/in-place-resource-updates.md) and [enablement](https://github.com/gardener/gardener/blob/master/docs/operations/enabling-in-place-resource-updates.md), refer to the official documentation.

## How does Gardener benefit from the _in-place_ Pod resource updates adoption ?

Apart from the above-mentioned advantages of using _in-place_ resource updates, adopting the mechanism allows mitigation of a few shortcomings that have the potential to cause
severe troubles.
Since Gardener offers the ability to configure _non-HA_ `Shoot` clusters, their `etcd` data stores become vulnerable to restarts. Having a `VerticalPodAutoscaler` resource with an
_update mode_ `Recreate`, referencing a _single-node_ `etcd` store, causes a short control plane downtime each time the recommender decides to apply new resource values.
An identical situation can be witnessed in the Gardener _monitoring_ and _logging_ stacks, where [Prometheus](https://prometheus.io) and [Vali](https://github.com/credativ/vali) run as _single-instances_, facing the _single-node_ `etcd` problem when _evicted_.

Another good example of a Kubernetes flaw that could have been resolved by using _in-place_ resources _update mode_ has to do with the `kube-scheduler` and its prior behavior of getting `Pod`s, with volumes, scheduled on `Node`s that have already reached their volume attachment limit. Documented in a dedicated Kubernetes [issue](https://github.com/kubernetes/kubernetes/issues/126921), this problem had appeared when the CSI `Node` plugin `Pod` gets restarted during _eviction_, exactly how VPA was configured to do at the time of reporting it.
During the gap between the deletion and the new `Pod` creation, the `CSINode` object temporarily has an empty drivers section. The `kube-scheduler`'s `NodeVolumeLimits` plugin treated this missing information as "no limit" and incorrectly scheduled volume-backed pods to fully-saturated `Node`s.

The impact of adopting _in-place_ resource updates is best illustrated by the numbers: enabling the feature on the `Seed` clusters and the runtime cluster results in roughly 98% of the `Pod` resource updates being applied _in-place_, drastically reducing the amount of disruptive `Pod` recreations across the Gardener landscape. The exact ratio may vary from one Seed or runtime cluster to another, depending on its configuration.

## Monitoring

Performing configuration migrations can become an exhausting task without a convenient dashboard to evaluate the process state. For this reason, as part of the effort to support _in-place_ Pod resource updates, we introduced a brand new _dashboard_ for the `vpa-updater` component.

![VPA Updater Dashboard Overview](./images/in-place-pod-resource-updates/vpa-updater-dashboard-overview.png)

With sections covering `VerticalPodAutoscaler` resource overviews (segregated by _update mode_) and panels displaying success rates per resource, the new dashboard can be used for both monitoring and generating status reports on applied resource recommendations.

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We could add a section with the achievements on our side. We together checked with you that in dev environments 90% of the Pod evictions were replaced with in-place updates.
We should share this success story with concrete numbers and screenshots from the monitoring dashboard. Maybe the number is even bigger now.

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I suggest adding a sentence about it.

Concrete suggestion:

diff --git a/website/blog/2026/05/05-19-in-place-pod-resource-updates.md b/website/blog/2026/05/05-19-in-place-pod-resource-updates.md
index 43d9e5b7..7dcde589 100644
--- a/website/blog/2026/05/05-19-in-place-pod-resource-updates.md
+++ b/website/blog/2026/05/05-19-in-place-pod-resource-updates.md
@@ -83,6 +83,8 @@ An identical situation can be witnessed in the Gardener _monitoring_ and _loggin
 Another good example of a Kubernetes flaw that could have been resolved by using _in-place_ resources _update mode_ has to do with the `kube-scheduler` and its prior behavior of getting `Pod`s, with volumes, scheduled on `Node`s that have already reached their volume attachment limit. Documented in a dedicated Kubernetes [issue](https://github.com/kubernetes/kubernetes/issues/126921), this problem had appeared when the CSI `Node` plugin `Pod` gets restarted during _eviction_, exactly how VPA was configured to do at the time of reporting it.
 During the gap between the deletion and the new `Pod` creation, the `CSINode` object temporarily has an empty drivers section. The `kube-scheduler`'s `NodeVolumeLimits` plugin treated this missing information as "no limit" and incorrectly scheduled volume-backed pods to fully-saturated `Node`s.
 
+The impact of adopting _in-place_ resource updates is best illustrated by the numbers: enabling the feature on the `Seed` clusters and the runtime cluster results in roughly 98% of the `Pod` resource updates being applied _in-place_, drastically reducing the amount of disruptive `Pod` recreations across the Gardener landscape. The exact ratio may vary from one Seed or runtime cluster to another, depending on its configuration.
+
 ## Monitoring
 
 Performing configuration migrations can become an exhausting task without a convenient dashboard to evaluate the process state. For this reason, as part of the effort to support _in-place_ Pod resource updates, we introduced a brand new _dashboard_ for the `vpa-updater` component.

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Thanks for the suggestion, pushed it with the latest commits.


## References
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- [In-Place Pod Resize (GA in v1.35)](https://kubernetes.io/blog/2025/12/19/kubernetes-v1-35-in-place-pod-resize-ga/)
- [Resize Container Resources](https://kubernetes.io/docs/tasks/configure-pod-container/resize-container-resources/)
- [Pod v1 API Reference - resize subresource](https://kubernetes.io/docs/reference/kubernetes-api/workload-resources/pod-v1/#operations-pod-v1-resize)
- [VPA v1.4.0 Release Notes](https://github.com/kubernetes/autoscaler/releases/tag/vertical-pod-autoscaler-1.4.0) (introduces _update mode_ `InPlaceOrRecreate`)
- [VPA v1.5.0 Release Notes](https://github.com/kubernetes/autoscaler/releases/tag/vertical-pod-autoscaler-1.5.0) (deprecates _update mode_ `Auto`)
- [VPA In-Place Updates Documentation](https://github.com/kubernetes/autoscaler/blob/master/vertical-pod-autoscaler/docs/features.md#in-place-updates-inplaceorrecreate)
- [Gardener Usage: In-Place Resource Updates](https://github.com/gardener/gardener/blob/master/docs/usage/autoscaling/in-place-resource-updates.md)
- [Gardener Operations: Enabling In-Place Resource Updates](https://github.com/gardener/gardener/blob/master/docs/operations/enabling-in-place-resource-updates.md)
- [Gardener Resource Manager](https://github.com/gardener/gardener/blob/master/docs/concepts/resource-manager.md)
- [Gardener v1.137](https://github.com/gardener/gardener/releases/tag/v1.137.0)
- [Linux cgroups v2](https://www.kernel.org/doc/html/latest/admin-guide/cgroup-v2.html)
- [CRI (Container Runtime Interface) Specification](https://github.com/kubernetes/cri-api)
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