- Server-Side Apply
- Introduction
- Field Management
- Conflicts
- Managers
- Apply and Update
- Merge strategy
- Transferring Ownership Between Users
- Comparison with Client Side Apply
- Upgrading from client-side apply to server-side apply
- Downgrading from server-side apply to client-side apply
- API Endpoint
- Clearing ManagedFields
- Disabling the feature
Server-Side Apply
FEATURE STATE: Kubernetes v1.16 [beta]
Introduction
Server Side Apply helps users and controllers manage their resources via declarative configurations. It allows them to create and/or modify their objects declaratively, simply by sending their fully specified intent.
A fully specified intent is a partial object that only includes the fields and values for which the user has an opinion. That intent either creates a new object or is combined, by the server, with the existing object.
The system supports multiple appliers collaborating on a single object.
Changes to an object’s fields are tracked through a “field management“ mechanism. When a field’s value changes, ownership moves from its current manager to the manager making the change. When trying to apply an object, fields that have a different value and are owned by another manager will result in a conflict. This is done in order to signal that the operation might undo another collaborator’s changes. Conflicts can be forced, in which case the value will be overridden, and the ownership will be transferred.
If you remove a field from a configuration and apply the configuration, server side apply checks if there are any other field managers that also own the field. If the field is not owned by any other field managers, it is either deleted from the live object or reset to its default value, if it has one. The same rule applies to associative list or map items.
Server side apply is meant both as a replacement for the original kubectl apply
and as a simpler mechanism for controllers to enact their changes.
If you have Server Side Apply enabled, the control plane tracks managed fields for all newlly created objects.
Field Management
Compared to the last-applied
annotation managed by kubectl
, Server Side Apply uses a more declarative approach, which tracks a user’s field management, rather than a user’s last applied state. This means that as a side effect of using Server Side Apply, information about which field manager manages each field in an object also becomes available.
For a user to manage a field, in the Server Side Apply sense, means that the user relies on and expects the value of the field not to change. The user who last made an assertion about the value of a field will be recorded as the current field manager. This can be done either by changing the value with POST
, PUT
, or non-apply PATCH
, or by including the field in a config sent to the Server Side Apply endpoint. When using Server-Side Apply, trying to change a field which is managed by someone else will result in a rejected request (if not forced, see Conflicts).
When two or more appliers set a field to the same value, they share ownership of that field. Any subsequent attempt to change the value of the shared field, by any of the appliers, results in a conflict. Shared field owners may give up ownership of a field by removing it from their configuration.
Field management is stored in amanagedFields
field that is part of an object’s metadata
.
A simple example of an object created by Server Side Apply could look like this:
apiVersion: v1
kind: ConfigMap
metadata:
name: test-cm
namespace: default
labels:
test-label: test
managedFields:
- manager: kubectl
operation: Apply
apiVersion: v1
time: "2010-10-10T0:00:00Z"
fieldsType: FieldsV1
fieldsV1:
f:metadata:
f:labels:
f:test-label: {}
f:data:
f:key: {}
data:
key: some value
The above object contains a single manager in metadata.managedFields
. The manager consists of basic information about the managing entity itself, like operation type, API version, and the fields managed by it.
Note: This field is managed by the API server and should not be changed by the user.
Nevertheless it is possible to change metadata.managedFields
through an Update
operation. Doing so is highly discouraged, but might be a reasonable option to try if, for example, the managedFields
get into an inconsistent state (which clearly should not happen).
The format of the managedFields
is described in the API.
Conflicts
A conflict is a special status error that occurs when an Apply
operation tries to change a field, which another user also claims to manage. This prevents an applier from unintentionally overwriting the value set by another user. When this occurs, the applier has 3 options to resolve the conflicts:
Overwrite value, become sole manager: If overwriting the value was intentional (or if the applier is an automated process like a controller) the applier should set the
force
query parameter to true and make the request again. This forces the operation to succeed, changes the value of the field, and removes the field from all other managers’ entries in managedFields.Don’t overwrite value, give up management claim: If the applier doesn’t care about the value of the field anymore, they can remove it from their config and make the request again. This leaves the value unchanged, and causes the field to be removed from the applier’s entry in managedFields.
Don’t overwrite value, become shared manager: If the applier still cares about the value of the field, but doesn’t want to overwrite it, they can change the value of the field in their config to match the value of the object on the server, and make the request again. This leaves the value unchanged, and causes the field’s management to be shared by the applier and all other field managers that already claimed to manage it.
Managers
Managers identify distinct workflows that are modifying the object (especially useful on conflicts!), and can be specified through the fieldManager
query parameter as part of a modifying request. It is required for the apply endpoint, though kubectl will default it to kubectl
. For other updates, its default is computed from the user-agent.
Apply and Update
The two operation types considered by this feature are Apply
(PATCH
with content type application/apply-patch+yaml
) and Update
(all other operations which modify the object). Both operations update the managedFields
, but behave a little differently.
Note:
Whether you are submitting JSON data or YAML data, use
application/apply-patch+yaml
as theContent-Type
header value.All JSON documents are valid YAML.
For instance, only the apply operation fails on conflicts while update does not. Also, apply operations are required to identify themselves by providing a fieldManager
query parameter, while the query parameter is optional for update operations. Finally, when using the apply operation you cannot have managedFields
in the object that is being applied.
An example object with multiple managers could look like this:
apiVersion: v1
kind: ConfigMap
metadata:
name: test-cm
namespace: default
labels:
test-label: test
managedFields:
- manager: kubectl
operation: Apply
apiVersion: v1
fields:
f:metadata:
f:labels:
f:test-label: {}
- manager: kube-controller-manager
operation: Update
apiVersion: v1
time: '2019-03-30T16:00:00.000Z'
fields:
f:data:
f:key: {}
data:
key: new value
In this example, a second operation was run as an Update
by the manager called kube-controller-manager
. The update changed a value in the data field which caused the field’s management to change to the kube-controller-manager
.
If this update would have been an Apply
operation, the operation would have failed due to conflicting ownership.
Merge strategy
The merging strategy, implemented with Server Side Apply, provides a generally more stable object lifecycle. Server Side Apply tries to merge fields based on the fact who manages them instead of overruling just based on values. This way it is intended to make it easier and more stable for multiple actors updating the same object by causing less unexpected interference.
When a user sends a “fully-specified intent” object to the Server Side Apply endpoint, the server merges it with the live object favoring the value in the applied config if it is specified in both places. If the set of items present in the applied config is not a superset of the items applied by the same user last time, each missing item not managed by any other appliers is removed. For more information about how an object’s schema is used to make decisions when merging, see sigs.k8s.io/structured-merge-diff.
A number of markers were added in Kubernetes 1.16 and 1.17, to allow API developers to describe the merge strategy supported by lists, maps, and structs. These markers can be applied to objects of the respective type, in Go files or in the OpenAPI schema definition of the CRD:
Golang marker | OpenAPI extension | Accepted values | Description | Introduced in |
---|---|---|---|---|
//+listType | x-kubernetes-list-type | atomic /set /map | Applicable to lists. atomic and set apply to lists with scalar elements only. map applies to lists of nested types only. If configured as atomic , the entire list is replaced during merge; a single manager manages the list as a whole at any one time. If granular , different managers can manage entries separately. | 1.16 |
//+listMapKey | x-kubernetes-list-map-keys | Slice of map keys that uniquely identify entries for example [“port”, “protocol”] | Only applicable when +listType=map . A slice of strings whose values in combination must uniquely identify list entries. While there can be multiple keys, listMapKey is singular because keys need to be specified individually in the Go type. | 1.16 |
//+mapType | x-kubernetes-map-type | atomic /granular | Applicable to maps. atomic means that the map can only be entirely replaced by a single manager. granular means that the map supports separate managers updating individual fields. | 1.17 |
//+structType | x-kubernetes-map-type | atomic /granular | Applicable to structs; otherwise same usage and OpenAPI annotation as //+mapType . | 1.17 |
Custom Resources
By default, Server Side Apply treats custom resources as unstructured data. All keys are treated the same as struct fields, and all lists are considered atomic.
If the Custom Resource Definition defines a schema that contains annotations as defined in the previous “Merge Strategy” section, these annotations will be used when merging objects of this type.
Using Server-Side Apply in a controller
As a developer of a controller, you can use server-side apply as a way to simplify the update logic of your controller. The main differences with a read-modify-write and/or patch are the following:
- the applied object must contain all the fields that the controller cares about.
- there are no way to remove fields that haven’t been applied by the controller before (controller can still send a PATCH/UPDATE for these use-cases).
- the object doesn’t have to be read beforehand,
resourceVersion
doesn’t have to be specified.
It is strongly recommended for controllers to always “force” conflicts, since they might not be able to resolve or act on these conflicts.
Transferring Ownership
In addition to the concurrency controls provided by conflict resolution, Server Side Apply provides ways to perform coordinated field ownership transfers from users to controllers.
This is best explained by example. Let’s look at how to safely transfer ownership of the replicas
field from a user to a controller while enabling automatic horizontal scaling for a Deployment, using the HorizontalPodAutoscaler resource and its accompanying controller.
Say a user has defined deployment with replicas
set to the desired value:
application/ssa/nginx-deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: nginx-deployment
labels:
app: nginx
spec:
replicas: 3
selector:
matchLabels:
app: nginx
template:
metadata:
labels:
app: nginx
spec:
containers:
- name: nginx
image: nginx:1.14.2
And the user has created the deployment using server side apply like so:
kubectl apply -f https://k8s.io/examples/application/ssa/nginx-deployment.yaml --server-side
Then later, HPA is enabled for the deployment, e.g.:
kubectl autoscale deployment nginx-deployment --cpu-percent=50 --min=1 --max=10
Now, the user would like to remove replicas
from their configuration, so they don’t accidentally fight with the HPA controller. However, there is a race: it might take some time before HPA feels the need to adjust replicas
, and if the user removes replicas
before the HPA writes to the field and becomes its owner, then apiserver will set replicas
to 1, its default value. This is not what the user wants to happen, even temporarily.
There are two solutions:
(easy) Leave
replicas
in the configuration; when HPA eventually writes to that field, the system gives the user a conflict over it. At that point, it is safe to remove from the configuration.(more advanced) If, however, the user doesn’t want to wait, for example because they want to keep the cluster legible to coworkers, then they can take the following steps to make it safe to remove
replicas
from their configuration:
First, the user defines a new configuration containing only the replicas
field:
application/ssa/nginx-deployment-replicas-only.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: nginx-deployment
spec:
replicas: 3
The user applies that configuration using the field manager name handover-to-hpa
:
kubectl apply -f https://k8s.io/examples/application/ssa/nginx-deployment-replicas-only.yaml \
--server-side --field-manager=handover-to-hpa \
--validate=false
If the apply results in a conflict with the HPA controller, then do nothing. The conflict just indicates the controller has claimed the field earlier in the process than it sometimes does.
At this point the user may remove the replicas
field from their configuration.
application/ssa/nginx-deployment-no-replicas.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: nginx-deployment
labels:
app: nginx
spec:
selector:
matchLabels:
app: nginx
template:
metadata:
labels:
app: nginx
spec:
containers:
- name: nginx
image: nginx:1.14.2
Note that whenever the HPA controller sets the replicas
field to a new value, the temporary field manager will no longer own any fields and will be automatically deleted. No clean up is required.
Transferring Ownership Between Users
Users can transfer ownership of a field between each other by setting the field to the same value in both of their applied configs, causing them to share ownership of the field. Once the users share ownership of the field, one of them can remove the field from their applied configuration to give up ownership and complete the transfer to the other user.
Comparison with Client Side Apply
A consequence of the conflict detection and resolution implemented by Server Side Apply is that an applier always has up to date field values in their local state. If they don’t, they get a conflict the next time they apply. Any of the three options to resolve conflicts results in the applied configuration being an up to date subset of the object on the server’s fields.
This is different from Client Side Apply, where outdated values which have been overwritten by other users are left in an applier’s local config. These values only become accurate when the user updates that specific field, if ever, and an applier has no way of knowing whether their next apply will overwrite other users’ changes.
Another difference is that an applier using Client Side Apply is unable to change the API version they are using, but Server Side Apply supports this use case.
Upgrading from client-side apply to server-side apply
Client-side apply users who manage a resource with kubectl apply
can start using server-side apply with the following flag.
kubectl apply --server-side [--dry-run=server]
By default, field management of the object transfers from client-side apply to kubectl server-side apply without encountering conflicts.
Caution:
Keep the
last-applied-configuration
annotation up to date. The annotation infers client-side apply’s managed fields. Any fields not managed by client-side apply raise conflicts.For example, if you used
kubectl scale
to update the replicas field after client-side apply, then this field is not owned by client-side apply and creates conflicts onkubectl apply --server-side
.
This behavior applies to server-side apply with the kubectl
field manager. As an exception, you can opt-out of this behavior by specifying a different, non-default field manager, as seen in the following example. The default field manager for kubectl server-side apply is kubectl
.
kubectl apply --server-side --field-manager=my-manager [--dry-run=server]
Downgrading from server-side apply to client-side apply
If you manage a resource with kubectl apply --server-side
, you can downgrade to client-side apply directly with kubectl apply
.
Downgrading works because kubectl server-side apply keeps the last-applied-configuration
annotation up-to-date if you use kubectl apply
.
This behavior applies to server-side apply with the kubectl
field manager. As an exception, you can opt-out of this behavior by specifying a different, non-default field manager, as seen in the following example. The default field manager for kubectl server-side apply is kubectl
.
kubectl apply --server-side --field-manager=my-manager [--dry-run=server]
API Endpoint
With the Server Side Apply feature enabled, the PATCH
endpoint accepts the additional application/apply-patch+yaml
content type. Users of Server Side Apply can send partially specified objects as YAML to this endpoint. When applying a configuration, one should always include all the fields that they have an opinion about.
Clearing ManagedFields
It is possible to strip all managedFields from an object by overwriting them using MergePatch
, StrategicMergePatch
, JSONPatch
or Update
, so every non-apply operation. This can be done by overwriting the managedFields field with an empty entry. Two examples are:
PATCH /api/v1/namespaces/default/configmaps/example-cm
Content-Type: application/merge-patch+json
Accept: application/json
Data: {"metadata":{"managedFields": [{}]}}
PATCH /api/v1/namespaces/default/configmaps/example-cm
Content-Type: application/json-patch+json
Accept: application/json
Data: [{"op": "replace", "path": "/metadata/managedFields", "value": [{}]}]
This will overwrite the managedFields with a list containing a single empty entry that then results in the managedFields being stripped entirely from the object. Note that just setting the managedFields to an empty list will not reset the field. This is on purpose, so managedFields never get stripped by clients not aware of the field.
In cases where the reset operation is combined with changes to other fields than the managedFields, this will result in the managedFields being reset first and the other changes being processed afterwards. As a result the applier takes ownership of any fields updated in the same request.
Caution: Server Side Apply does not correctly track ownership on sub-resources that don’t receive the resource object type. If you are using Server Side Apply with such a sub-resource, the changed fields won’t be tracked.
Disabling the feature
Server Side Apply is a beta feature, so it is enabled by default. To turn this feature gate off, you need to include the --feature-gates ServerSideApply=false
flag when starting kube-apiserver
. If you have multiple kube-apiserver
replicas, all should have the same flag setting.