Declarative Management of Kubernetes Objects Using Configuration Files
Kubernetes objects can be created, updated, and deleted by storing multiple
object configuration files in a directory and using kubectl apply
to
recursively create and update those objects as needed. This method
retains writes made to live objects without merging the changes
back into the object configuration files. kubectl diff
also gives you a
preview of what changes apply
will make.
- Before you begin
- Trade-offs
- Overview
- How to create objects
- How to update objects
- How to delete objects
- How to view an object
- How apply calculates differences and merges changes
- Default field values
- How to change ownership of a field between the configuration file and direct imperative writers
- Changing management methods
- Defining controller selectors and PodTemplate labels
- What's next
Before you begin
Install kubectl
.
You need to have a Kubernetes cluster, and the kubectl command-line tool must be configured to communicate with your cluster. If you do not already have a cluster, you can create one by using Minikube, or you can use one of these Kubernetes playgrounds:
To check the version, enter kubectl version
.
Trade-offs
The kubectl
tool supports three kinds of object management:
- Imperative commands
- Imperative object configuration
- Declarative object configuration
See Kubernetes Object Management for a discussion of the advantages and disadvantage of each kind of object management.
Overview
Declarative object configuration requires a firm understanding of the Kubernetes object definitions and configuration. Read and complete the following documents if you have not already:
- Managing Kubernetes Objects Using Imperative Commands
- Imperative Management of Kubernetes Objects Using Configuration Files
Following are definitions for terms used in this document:
- object configuration file / configuration file: A file that defines the
configuration for a Kubernetes object. This topic shows how to pass configuration
files to
kubectl apply
. Configuration files are typically stored in source control, such as Git. - live object configuration / live configuration: The live configuration values of an object, as observed by the Kubernetes cluster. These are kept in the Kubernetes cluster storage, typically etcd.
- declarative configuration writer / declarative writer: A person or software component
that makes updates to a live object. The live writers referred to in this topic make changes
to object configuration files and run
kubectl apply
to write the changes.
How to create objects
Use kubectl apply
to create all objects, except those that already exist,
defined by configuration files in a specified directory:
kubectl apply -f <directory>/
This sets the kubectl.kubernetes.io/last-applied-configuration: '{...}'
annotation on each object. The annotation contains the contents of the object
configuration file that was used to create the object.
Note: Add the-R
flag to recursively process directories.
Here’s an example of an object configuration file:
application/simple_deployment.yaml
|
---|
|
Run kubectl diff
to print the object that will be created:
kubectl diff -f https://k8s.io/examples/application/simple_deployment.yaml
Note:
diff
uses server-side dry-run, which needs to be enabled onkube-apiserver
.Since
diff
performs a server-side apply request in dry-run mode, it requires grantingPATCH
,CREATE
, andUPDATE
permissions. See Dry-Run Authorization for details.
Create the object using kubectl apply
:
kubectl apply -f https://k8s.io/examples/application/simple_deployment.yaml
Print the live configuration using kubectl get
:
kubectl get -f https://k8s.io/examples/application/simple_deployment.yaml -o yaml
The output shows that the kubectl.kubernetes.io/last-applied-configuration
annotation
was written to the live configuration, and it matches the configuration file:
kind: Deployment
metadata:
annotations:
# ...
# This is the json representation of simple_deployment.yaml
# It was written by kubectl apply when the object was created
kubectl.kubernetes.io/last-applied-configuration: |
{"apiVersion":"apps/v1","kind":"Deployment",
"metadata":{"annotations":{},"name":"nginx-deployment","namespace":"default"},
"spec":{"minReadySeconds":5,"selector":{"matchLabels":{"app":nginx}},"template":{"metadata":{"labels":{"app":"nginx"}},
"spec":{"containers":[{"image":"nginx:1.14.2","name":"nginx",
"ports":[{"containerPort":80}]}]}}}}
# ...
spec:
# ...
minReadySeconds: 5
selector:
matchLabels:
# ...
app: nginx
template:
metadata:
# ...
labels:
app: nginx
spec:
containers:
- image: nginx:1.14.2
# ...
name: nginx
ports:
- containerPort: 80
# ...
# ...
# ...
# ...
How to update objects
You can also use kubectl apply
to update all objects defined in a directory, even
if those objects already exist. This approach accomplishes the following:
- Sets fields that appear in the configuration file in the live configuration.
Clears fields removed from the configuration file in the live configuration.
kubectl diff -f <directory>/ kubectl apply -f <directory>/
Note: Add the-R
flag to recursively process directories.
Here’s an example configuration file:
application/simple_deployment.yaml
|
---|
|
Create the object using kubectl apply
:
kubectl apply -f https://k8s.io/examples/application/simple_deployment.yaml
Note: For purposes of illustration, the preceding command refers to a single configuration file instead of a directory.
Print the live configuration using kubectl get
:
kubectl get -f https://k8s.io/examples/application/simple_deployment.yaml -o yaml
The output shows that the kubectl.kubernetes.io/last-applied-configuration
annotation
was written to the live configuration, and it matches the configuration file:
kind: Deployment
metadata:
annotations:
# ...
# This is the json representation of simple_deployment.yaml
# It was written by kubectl apply when the object was created
kubectl.kubernetes.io/last-applied-configuration: |
{"apiVersion":"apps/v1","kind":"Deployment",
"metadata":{"annotations":{},"name":"nginx-deployment","namespace":"default"},
"spec":{"minReadySeconds":5,"selector":{"matchLabels":{"app":nginx}},"template":{"metadata":{"labels":{"app":"nginx"}},
"spec":{"containers":[{"image":"nginx:1.14.2","name":"nginx",
"ports":[{"containerPort":80}]}]}}}}
# ...
spec:
# ...
minReadySeconds: 5
selector:
matchLabels:
# ...
app: nginx
template:
metadata:
# ...
labels:
app: nginx
spec:
containers:
- image: nginx:1.14.2
# ...
name: nginx
ports:
- containerPort: 80
# ...
# ...
# ...
# ...
Directly update the replicas
field in the live configuration by using kubectl scale
.
This does not use kubectl apply
:
kubectl scale deployment/nginx-deployment --replicas=2
Print the live configuration using kubectl get
:
kubectl get -f https://k8s.io/examples/application/simple_deployment.yaml -o yaml
The output shows that the replicas
field has been set to 2, and the last-applied-configuration
annotation does not contain a replicas
field:
apiVersion: apps/v1
kind: Deployment
metadata:
annotations:
# ...
# note that the annotation does not contain replicas
# because it was not updated through apply
kubectl.kubernetes.io/last-applied-configuration: |
{"apiVersion":"apps/v1","kind":"Deployment",
"metadata":{"annotations":{},"name":"nginx-deployment","namespace":"default"},
"spec":{"minReadySeconds":5,"selector":{"matchLabels":{"app":nginx}},"template":{"metadata":{"labels":{"app":"nginx"}},
"spec":{"containers":[{"image":"nginx:1.14.2","name":"nginx",
"ports":[{"containerPort":80}]}]}}}}
# ...
spec:
replicas: 2 # written by scale
# ...
minReadySeconds: 5
selector:
matchLabels:
# ...
app: nginx
template:
metadata:
# ...
labels:
app: nginx
spec:
containers:
- image: nginx:1.14.2
# ...
name: nginx
ports:
- containerPort: 80
# ...
Update the simple_deployment.yaml
configuration file to change the image from
nginx:1.14.2
to nginx:1.16.1
, and delete the minReadySeconds
field:
application/update_deployment.yaml
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---|
|
Apply the changes made to the configuration file:
kubectl diff -f https://k8s.io/examples/application/update_deployment.yaml
kubectl apply -f https://k8s.io/examples/application/update_deployment.yaml
Print the live configuration using kubectl get
:
kubectl get -f https://k8s.io/examples/application/simple_deployment.yaml -o yaml
The output shows the following changes to the live configuration:
- The
replicas
field retains the value of 2 set bykubectl scale
. This is possible because it is omitted from the configuration file. - The
image
field has been updated tonginx:1.16.1
fromnginx:1.14.2
. - The
last-applied-configuration
annotation has been updated with the new image. - The
minReadySeconds
field has been cleared. The
last-applied-configuration
annotation no longer contains theminReadySeconds
field.apiVersion: apps/v1 kind: Deployment metadata: annotations: # ... # The annotation contains the updated image to nginx 1.11.9, # but does not contain the updated replicas to 2 kubectl.kubernetes.io/last-applied-configuration: | {"apiVersion":"apps/v1","kind":"Deployment", "metadata":{"annotations":{},"name":"nginx-deployment","namespace":"default"}, "spec":{"selector":{"matchLabels":{"app":nginx}},"template":{"metadata":{"labels":{"app":"nginx"}}, "spec":{"containers":[{"image":"nginx:1.16.1","name":"nginx", "ports":[{"containerPort":80}]}]}}}} # ... spec: replicas: 2 # Set by `kubectl scale`. Ignored by `kubectl apply`. # minReadySeconds cleared by `kubectl apply` # ... selector: matchLabels: # ... app: nginx template: metadata: # ... labels: app: nginx spec: containers: - image: nginx:1.16.1 # Set by `kubectl apply` # ... name: nginx ports: - containerPort: 80 # ... # ... # ... # ...
Warning: Mixingkubectl apply
with the imperative object configuration commandscreate
andreplace
is not supported. This is becausecreate
andreplace
do not retain thekubectl.kubernetes.io/last-applied-configuration
thatkubectl apply
uses to compute updates.
How to delete objects
There are two approaches to delete objects managed by kubectl apply
.
Recommended: kubectl delete -f <filename>
Manually deleting objects using the imperative command is the recommended approach, as it is more explicit about what is being deleted, and less likely to result in the user deleting something unintentionally:
kubectl delete -f <filename>
Alternative: kubectl apply -f <directory/> --prune -l your=label
Only use this if you know what you are doing.
Warning:kubectl apply --prune
is in alpha, and backwards incompatible changes might be introduced in subsequent releases.
Warning: You must be careful when using this command, so that you do not delete objects unintentionally.
As an alternative to kubectl delete
, you can use kubectl apply
to identify objects to be deleted after their
configuration files have been removed from the directory. Apply with --prune
queries the API server for all objects matching a set of labels, and attempts
to match the returned live object configurations against the object
configuration files. If an object matches the query, and it does not have a
configuration file in the directory, and it has a last-applied-configuration
annotation,
it is deleted.
kubectl apply -f <directory/> --prune -l <labels>
Warning: Apply with prune should only be run against the root directory containing the object configuration files. Running against sub-directories can cause objects to be unintentionally deleted if they are returned by the label selector query specified with-l <labels>
and do not appear in the subdirectory.
How to view an object
You can use kubectl get
with -o yaml
to view the configuration of a live object:
kubectl get -f <filename|url> -o yaml
How apply calculates differences and merges changes
Caution: A patch is an update operation that is scoped to specific fields of an object instead of the entire object. This enables updating only a specific set of fields on an object without reading the object first.
When kubectl apply
updates the live configuration for an object,
it does so by sending a patch request to the API server. The
patch defines updates scoped to specific fields of the live object
configuration. The kubectl apply
command calculates this patch request
using the configuration file, the live configuration, and the
last-applied-configuration
annotation stored in the live configuration.
Merge patch calculation
The kubectl apply
command writes the contents of the configuration file to the
kubectl.kubernetes.io/last-applied-configuration
annotation. This
is used to identify fields that have been removed from the configuration
file and need to be cleared from the live configuration. Here are the steps used
to calculate which fields should be deleted or set:
- Calculate the fields to delete. These are the fields present in
last-applied-configuration
and missing from the configuration file. - Calculate the fields to add or set. These are the fields present in the configuration file whose values don’t match the live configuration.
Here’s an example. Suppose this is the configuration file for a Deployment object:
application/update_deployment.yaml
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|
Also, suppose this is the live configuration for the same Deployment object:
apiVersion: apps/v1
kind: Deployment
metadata:
annotations:
# ...
# note that the annotation does not contain replicas
# because it was not updated through apply
kubectl.kubernetes.io/last-applied-configuration: |
{"apiVersion":"apps/v1","kind":"Deployment",
"metadata":{"annotations":{},"name":"nginx-deployment","namespace":"default"},
"spec":{"minReadySeconds":5,"selector":{"matchLabels":{"app":nginx}},"template":{"metadata":{"labels":{"app":"nginx"}},
"spec":{"containers":[{"image":"nginx:1.14.2","name":"nginx",
"ports":[{"containerPort":80}]}]}}}}
# ...
spec:
replicas: 2 # written by scale
# ...
minReadySeconds: 5
selector:
matchLabels:
# ...
app: nginx
template:
metadata:
# ...
labels:
app: nginx
spec:
containers:
- image: nginx:1.14.2
# ...
name: nginx
ports:
- containerPort: 80
# ...
Here are the merge calculations that would be performed by kubectl apply
:
- Calculate the fields to delete by reading values from
last-applied-configuration
and comparing them to values in the configuration file. Clear fields explicitly set to null in the local object configuration file regardless of whether they appear in thelast-applied-configuration
. In this example,minReadySeconds
appears in thelast-applied-configuration
annotation, but does not appear in the configuration file. Action: ClearminReadySeconds
from the live configuration. - Calculate the fields to set by reading values from the configuration
file and comparing them to values in the live configuration. In this example,
the value of
image
in the configuration file does not match the value in the live configuration. Action: Set the value ofimage
in the live configuration. - Set the
last-applied-configuration
annotation to match the value of the configuration file. - Merge the results from 1, 2, 3 into a single patch request to the API server.
Here is the live configuration that is the result of the merge:
apiVersion: apps/v1
kind: Deployment
metadata:
annotations:
# ...
# The annotation contains the updated image to nginx 1.11.9,
# but does not contain the updated replicas to 2
kubectl.kubernetes.io/last-applied-configuration: |
{"apiVersion":"apps/v1","kind":"Deployment",
"metadata":{"annotations":{},"name":"nginx-deployment","namespace":"default"},
"spec":{"selector":{"matchLabels":{"app":nginx}},"template":{"metadata":{"labels":{"app":"nginx"}},
"spec":{"containers":[{"image":"nginx:1.16.1","name":"nginx",
"ports":[{"containerPort":80}]}]}}}}
# ...
spec:
selector:
matchLabels:
# ...
app: nginx
replicas: 2 # Set by `kubectl scale`. Ignored by `kubectl apply`.
# minReadySeconds cleared by `kubectl apply`
# ...
template:
metadata:
# ...
labels:
app: nginx
spec:
containers:
- image: nginx:1.16.1 # Set by `kubectl apply`
# ...
name: nginx
ports:
- containerPort: 80
# ...
# ...
# ...
# ...
How different types of fields are merged
How a particular field in a configuration file is merged with the live configuration depends on the type of the field. There are several types of fields:
primitive: A field of type string, integer, or boolean. For example,
image
andreplicas
are primitive fields. Action: Replace.map, also called object: A field of type map or a complex type that contains subfields. For example,
labels
,annotations
,spec
andmetadata
are all maps. Action: Merge elements or subfields.list: A field containing a list of items that can be either primitive types or maps. For example,
containers
,ports
, andargs
are lists. Action: Varies.
When kubectl apply
updates a map or list field, it typically does
not replace the entire field, but instead updates the individual subelements.
For instance, when merging the spec
on a Deployment, the entire spec
is
not replaced. Instead the subfields of spec
, such as replicas
, are compared
and merged.
Merging changes to primitive fields
Primitive fields are replaced or cleared.
Note:-
is used for “not applicable” because the value is not used.
Field in object configuration file | Field in live object configuration | Field in last-applied-configuration | Action |
---|---|---|---|
Yes | Yes | - | Set live to configuration file value. |
Yes | No | - | Set live to local configuration. |
No | - | Yes | Clear from live configuration. |
No | - | No | Do nothing. Keep live value. |
Merging changes to map fields
Fields that represent maps are merged by comparing each of the subfields or elements of the map:
Note:-
is used for “not applicable” because the value is not used.
Key in object configuration file | Key in live object configuration | Field in last-applied-configuration | Action |
---|---|---|---|
Yes | Yes | - | Compare sub fields values. |
Yes | No | - | Set live to local configuration. |
No | - | Yes | Delete from live configuration. |
No | - | No | Do nothing. Keep live value. |
Merging changes for fields of type list
Merging changes to a list uses one of three strategies:
- Replace the list if all its elements are primitives.
- Merge individual elements in a list of complex elements.
- Merge a list of primitive elements.
The choice of strategy is made on a per-field basis.
Replace the list if all its elements are primitives
Treat the list the same as a primitive field. Replace or delete the entire list. This preserves ordering.
Example: Use kubectl apply
to update the args
field of a Container in a Pod. This sets
the value of args
in the live configuration to the value in the configuration file.
Any args
elements that had previously been added to the live configuration are lost.
The order of the args
elements defined in the configuration file is
retained in the live configuration.
# last-applied-configuration value
args: ["a", "b"]
# configuration file value
args: ["a", "c"]
# live configuration
args: ["a", "b", "d"]
# result after merge
args: ["a", "c"]
Explanation: The merge used the configuration file value as the new list value.
Merge individual elements of a list of complex elements:
Treat the list as a map, and treat a specific field of each element as a key. Add, delete, or update individual elements. This does not preserve ordering.
This merge strategy uses a special tag on each field called a patchMergeKey
. The
patchMergeKey
is defined for each field in the Kubernetes source code:
types.go
When merging a list of maps, the field specified as the patchMergeKey
for a given element
is used like a map key for that element.
Example: Use kubectl apply
to update the containers
field of a PodSpec.
This merges the list as though it was a map where each element is keyed
by name
.
# last-applied-configuration value
containers:
- name: nginx
image: nginx:1.16
- name: nginx-helper-a # key: nginx-helper-a; will be deleted in result
image: helper:1.3
- name: nginx-helper-b # key: nginx-helper-b; will be retained
image: helper:1.3
# configuration file value
containers:
- name: nginx
image: nginx:1.16
- name: nginx-helper-b
image: helper:1.3
- name: nginx-helper-c # key: nginx-helper-c; will be added in result
image: helper:1.3
# live configuration
containers:
- name: nginx
image: nginx:1.16
- name: nginx-helper-a
image: helper:1.3
- name: nginx-helper-b
image: helper:1.3
args: ["run"] # Field will be retained
- name: nginx-helper-d # key: nginx-helper-d; will be retained
image: helper:1.3
# result after merge
containers:
- name: nginx
image: nginx:1.16
# Element nginx-helper-a was deleted
- name: nginx-helper-b
image: helper:1.3
args: ["run"] # Field was retained
- name: nginx-helper-c # Element was added
image: helper:1.3
- name: nginx-helper-d # Element was ignored
image: helper:1.3
Explanation:
- The container named “nginx-helper-a” was deleted because no container named “nginx-helper-a” appeared in the configuration file.
- The container named “nginx-helper-b” retained the changes to
args
in the live configuration.kubectl apply
was able to identify that “nginx-helper-b” in the live configuration was the same “nginx-helper-b” as in the configuration file, even though their fields had different values (noargs
in the configuration file). This is because thepatchMergeKey
field value (name) was identical in both. - The container named “nginx-helper-c” was added because no container with that name appeared in the live configuration, but one with that name appeared in the configuration file.
- The container named “nginx-helper-d” was retained because no element with that name appeared in the last-applied-configuration.
Merge a list of primitive elements
As of Kubernetes 1.5, merging lists of primitive elements is not supported.
Note: Which of the above strategies is chosen for a given field is controlled by thepatchStrategy
tag in types.go If nopatchStrategy
is specified for a field of type list, then the list is replaced.
Default field values
The API server sets certain fields to default values in the live configuration if they are not specified when the object is created.
Here’s a configuration file for a Deployment. The file does not specify strategy
:
application/simple_deployment.yaml
|
---|
|
Create the object using kubectl apply
:
kubectl apply -f https://k8s.io/examples/application/simple_deployment.yaml
Print the live configuration using kubectl get
:
kubectl get -f https://k8s.io/examples/application/simple_deployment.yaml -o yaml
The output shows that the API server set several fields to default values in the live configuration. These fields were not specified in the configuration file.
apiVersion: apps/v1
kind: Deployment
# ...
spec:
selector:
matchLabels:
app: nginx
minReadySeconds: 5
replicas: 1 # defaulted by apiserver
strategy:
rollingUpdate: # defaulted by apiserver - derived from strategy.type
maxSurge: 1
maxUnavailable: 1
type: RollingUpdate # defaulted by apiserver
template:
metadata:
creationTimestamp: null
labels:
app: nginx
spec:
containers:
- image: nginx:1.14.2
imagePullPolicy: IfNotPresent # defaulted by apiserver
name: nginx
ports:
- containerPort: 80
protocol: TCP # defaulted by apiserver
resources: {} # defaulted by apiserver
terminationMessagePath: /dev/termination-log # defaulted by apiserver
dnsPolicy: ClusterFirst # defaulted by apiserver
restartPolicy: Always # defaulted by apiserver
securityContext: {} # defaulted by apiserver
terminationGracePeriodSeconds: 30 # defaulted by apiserver
# ...
In a patch request, defaulted fields are not re-defaulted unless they are explicitly cleared as part of a patch request. This can cause unexpected behavior for fields that are defaulted based on the values of other fields. When the other fields are later changed, the values defaulted from them will not be updated unless they are explicitly cleared.
For this reason, it is recommended that certain fields defaulted by the server are explicitly defined in the configuration file, even if the desired values match the server defaults. This makes it easier to recognize conflicting values that will not be re-defaulted by the server.
Example:
# last-applied-configuration
spec:
template:
metadata:
labels:
app: nginx
spec:
containers:
- name: nginx
image: nginx:1.14.2
ports:
- containerPort: 80
# configuration file
spec:
strategy:
type: Recreate # updated value
template:
metadata:
labels:
app: nginx
spec:
containers:
- name: nginx
image: nginx:1.14.2
ports:
- containerPort: 80
# live configuration
spec:
strategy:
type: RollingUpdate # defaulted value
rollingUpdate: # defaulted value derived from type
maxSurge : 1
maxUnavailable: 1
template:
metadata:
labels:
app: nginx
spec:
containers:
- name: nginx
image: nginx:1.14.2
ports:
- containerPort: 80
# result after merge - ERROR!
spec:
strategy:
type: Recreate # updated value: incompatible with rollingUpdate
rollingUpdate: # defaulted value: incompatible with "type: Recreate"
maxSurge : 1
maxUnavailable: 1
template:
metadata:
labels:
app: nginx
spec:
containers:
- name: nginx
image: nginx:1.14.2
ports:
- containerPort: 80
Explanation:
- The user creates a Deployment without defining
strategy.type
. - The server defaults
strategy.type
toRollingUpdate
and defaults thestrategy.rollingUpdate
values. - The user changes
strategy.type
toRecreate
. Thestrategy.rollingUpdate
values remain at their defaulted values, though the server expects them to be cleared. If thestrategy.rollingUpdate
values had been defined initially in the configuration file, it would have been more clear that they needed to be deleted. - Apply fails because
strategy.rollingUpdate
is not cleared. Thestrategy.rollingupdate
field cannot be defined with astrategy.type
ofRecreate
.
Recommendation: These fields should be explicitly defined in the object configuration file:
- Selectors and PodTemplate labels on workloads, such as Deployment, StatefulSet, Job, DaemonSet, ReplicaSet, and ReplicationController
- Deployment rollout strategy
How to clear server-defaulted fields or fields set by other writers
Fields that do not appear in the configuration file can be cleared by
setting their values to null
and then applying the configuration file.
For fields defaulted by the server, this triggers re-defaulting
the values.
How to change ownership of a field between the configuration file and direct imperative writers
These are the only methods you should use to change an individual object field:
- Use
kubectl apply
. - Write directly to the live configuration without modifying the configuration file:
for example, use
kubectl scale
.
Changing the owner from a direct imperative writer to a configuration file
Add the field to the configuration file. For the field, discontinue direct updates to
the live configuration that do not go through kubectl apply
.
Changing the owner from a configuration file to a direct imperative writer
As of Kubernetes 1.5, changing ownership of a field from a configuration file to an imperative writer requires manual steps:
- Remove the field from the configuration file.
- Remove the field from the
kubectl.kubernetes.io/last-applied-configuration
annotation on the live object.
Changing management methods
Kubernetes objects should be managed using only one method at a time. Switching from one method to another is possible, but is a manual process.
Note: It is OK to use imperative deletion with declarative management.
Migrating from imperative command management to declarative object configuration
Migrating from imperative command management to declarative object configuration involves several manual steps:
Export the live object to a local configuration file:
kubectl get <kind>/<name> -o yaml > <kind>_<name>.yaml
Manually remove the
status
field from the configuration file.Note: This step is optional, askubectl apply
does not update the status field even if it is present in the configuration file.Set the
kubectl.kubernetes.io/last-applied-configuration
annotation on the object:kubectl replace --save-config -f <kind>_<name>.yaml
Change processes to use
kubectl apply
for managing the object exclusively.
Migrating from imperative object configuration to declarative object configuration
Set the
kubectl.kubernetes.io/last-applied-configuration
annotation on the object:kubectl replace --save-config -f <kind>_<name>.yaml
Change processes to use
kubectl apply
for managing the object exclusively.
Defining controller selectors and PodTemplate labels
Warning: Updating selectors on controllers is strongly discouraged.
The recommended approach is to define a single, immutable PodTemplate label used only by the controller selector with no other semantic meaning.
Example:
selector:
matchLabels:
controller-selector: "apps/v1/deployment/nginx"
template:
metadata:
labels:
controller-selector: "apps/v1/deployment/nginx"
What's next
- Managing Kubernetes Objects Using Imperative Commands
- Imperative Management of Kubernetes Objects Using Configuration Files
- Kubectl Command Reference
- Kubernetes API Reference
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