I have a few external CRDs with old apiVersion applied in the cluster, and operators based on those CRDs deployed.
As said in official docs about Kubernetes API and Feature Removals in 1.22.
You can use the v1 API to retrieve or update existing objects, even if they were created using an older API version. If you defined any custom resources in your cluster, those are still served after you upgrade.
Based on the quote, does it mean I could leave those apiextensions.k8s.io/v1beta1 CRDs in the cluster? Will controllers/operators continue to work normally?
The custom resources will still be served after you upgrade
Suppose we define a resource called mykind
apiVersion: apiextensions.k8s.io/v1beta1
kind: CustomResourceDefinition
metadata:
name: mykinds.grp.example.com
spec:
group: grp.example.com
versions:
- name: v1beta1
served: true
storage: true
Then, on any cluster where this has been applied I can always define a mykind resource:
apiVersion: grp.example.com/v1beta1
kind: Mykind
metadata:
name: mykind-instance
And this resource will still be served normally after upgrade even if the CRD for mykind was created under v1beta1.
However, anything in the controller / operator code referencing v1beta1 CRD won't work. This could be applying the CRD itself (if your controller has permissions to do that) for example. That's something to watch out for if your operator is managed by the Operator Lifecycle Manager. But watching for changes in the CRs would be unaffected by the upgrade.
So if your controller / operator isn't watching CustomResourceDefinitions then technically you can leave these CRDs on the cluster and your operator will work as normal. But you won't be able to uninstall + reinstall should you need to.
Another thing to explore is if / how that might affect your ability to bump API versions later though.
I'm using Ansible to rollout a DeploymentConfig and all its sub components like Service, Route and PersistentVolumeClaim on a Kubernetes Cluster on Openshift.
Now I'd like to remove all these components from the cluster if Pods are of a certain age.
How would I do this with Ansible? I know there's a module called k8s_info, but how do I query the Pods and use the result to set the status of all items to absent.
Setup of my Play so far:
---
- name: Remove old deployments
module_defaults:
k8s:
validate_certs: no
hosts: localhost
tasks:
- name: Get a list of all service objects
k8s_info:
api_version: v1
kind: Pod
namespace: "{{ PROJECT }}"
field_selectors:
- status.phase=Running
# filter on pods older than 5 days
register: podlist
# use podlist to get metadata names for which to set state to absent
There must be a cleaner/easier approach but here is a workable alternative :
You can create a job along with your resources, which keeps track of the age of the pod and delete all the resources along with itself when time comes (condition met). The job should run with a service account that has access to do so.
Especially considering all the asynchronous procedures involved with creating and updating a deployment, I find it difficult to reliably find the current pods associated with the current version of a given deployment.
Currently, I do:
Add unique labels to the deployment's template.
Get the revision number of the deployment.
Get all replica sets with the labels.
Filter them further to find the one with the correct revision number.
Extract the pod template hash from the replica set.
Get all pods with the labels plus the pod template hash.
This is awkward and complex. Besides, I am not sure that (4) and (6) are guaranteed to yield only the wanted objects. But I cannot filter by ownerReferences, can I?
Is there a more robust and simpler way?
When you create Deployment, it creates ReplicaSet, which creates Pods.
ReplicaSet contains "ownerReferences" path which includes the name and the UID of the parent deployment.
Pods contain the same path with the link to the parent ReplicaSet.
Here is an example of ReplicaSet info:
# kubectl get rs nginx-deployment-569477d6d8 -o yaml
apiVersion: extensions/v1beta1
kind: ReplicaSet
...
name: nginx-deployment-569477d6d8
namespace: default
ownerReferences:
- apiVersion: extensions/v1beta1
blockOwnerDeletion: true
controller: true
kind: Deployment
name: nginx-deployment
uid: acf5fe8a-5d0e-11e8-b14f-42010a8000fc
...
Forgive my ignorance but I can't seem to find a way of using a yaml file to deploy a single container pod (read: kind: Pod). It appears the only way to do it is to use a deployment yaml file (read: kind: Deployment) with a replica of 1.
Is there really no way?
Why I ask is because it would be nice to put everything in source control, including the one off's like databases.
It would be awesome if there was a site with all the available options you can use in a yaml file (like vagrant's vagrantfile). There isn't one, right?
Thanks!
You should be able to find pod yaml files easily. For example, the documentation has an example of a Pod being created.
apiVersion: v1
kind: Pod
metadata:
name: hello-world
spec: # specification of the pod's contents
restartPolicy: Never
containers:
- name: hello
image: "ubuntu:14.04"
command: ["/bin/echo", "hello", "world"]
One thing to note is that if a deployment or a replicaset created a resource on your behalf, there is no reason why you couldn't do the same.
kubectl get pod <pod-name> -o yaml should give you the YAML spec of a created pod.
There is Kubernetes charts, which serves as a repository for configuration surrounding complex applications, using the helm package manager. This would serve you well for deploying more complex applications.
Never mind, figured it out. It's possible. You just use the multi-container yaml file (example found here: https://kubernetes.io/docs/user-guide/pods/multi-container/) but only specify one container.
I'd tried it before but had inadvertently mistyped the yaml formatting.
Thanks rubber ducky!
How do I automatically restart Kubernetes pods and pods associated with deployments when their configmap is changed/updated?
I know there's been talk about the ability to automatically restart pods when a config maps changes but to my knowledge this is not yet available in Kubernetes 1.2.
So what (I think) I'd like to do is a "rolling restart" of the deployment resource associated with the pods consuming the config map. Is it possible, and if so how, to force a rolling restart of a deployment in Kubernetes without changing anything in the actual template? Is this currently the best way to do it or is there a better option?
The current best solution to this problem (referenced deep in https://github.com/kubernetes/kubernetes/issues/22368 linked in the sibling answer) is to use Deployments, and consider your ConfigMaps to be immutable.
When you want to change your config, create a new ConfigMap with the changes you want to make, and point your deployment at the new ConfigMap. If the new config is broken, the Deployment will refuse to scale down your working ReplicaSet. If the new config works, then your old ReplicaSet will be scaled to 0 replicas and deleted, and new pods will be started with the new config.
Not quite as quick as just editing the ConfigMap in place, but much safer.
Signalling a pod on config map update is a feature in the works (https://github.com/kubernetes/kubernetes/issues/22368).
You can always write a custom pid1 that notices the confimap has changed and restarts your app.
You can also eg: mount the same config map in 2 containers, expose a http health check in the second container that fails if the hash of config map contents changes, and shove that as the liveness probe of the first container (because containers in a pod share the same network namespace). The kubelet will restart your first container for you when the probe fails.
Of course if you don't care about which nodes the pods are on, you can simply delete them and the replication controller will "restart" them for you.
The best way I've found to do it is run Reloader
It allows you to define configmaps or secrets to watch, when they get updated, a rolling update of your deployment is performed. Here's an example:
You have a deployment foo and a ConfigMap called foo-configmap. You want to roll the pods of the deployment every time the configmap is changed. You need to run Reloader with:
kubectl apply -f https://raw.githubusercontent.com/stakater/Reloader/master/deployments/kubernetes/reloader.yaml
Then specify this annotation in your deployment:
kind: Deployment
metadata:
annotations:
configmap.reloader.stakater.com/reload: "foo-configmap"
name: foo
...
Helm 3 doc page
Often times configmaps or secrets are injected as configuration files in containers. Depending on the application a restart may be required should those be updated with a subsequent helm upgrade, but if the deployment spec itself didn't change the application keeps running with the old configuration resulting in an inconsistent deployment.
The sha256sum function can be used together with the include function to ensure a deployments template section is updated if another spec changes:
kind: Deployment
spec:
template:
metadata:
annotations:
checksum/config: {{ include (print $.Template.BasePath "/secret.yaml") . | sha256sum }}
[...]
In my case, for some reasons, $.Template.BasePath didn't work but $.Chart.Name does:
spec:
replicas: 1
template:
metadata:
labels:
app: admin-app
annotations:
checksum/config: {{ include (print $.Chart.Name "/templates/" $.Chart.Name "-configmap.yaml") . | sha256sum }}
You can update a metadata annotation that is not relevant for your deployment. it will trigger a rolling-update
for example:
spec:
template:
metadata:
annotations:
configmap-version: 1
If k8>1.15; then doing a rollout restart worked best for me as part of CI/CD with App configuration path hooked up with a volume-mount. A reloader plugin or setting restartPolicy: Always in deployment manifest YML did not work for me. No application code changes needed, worked for both static assets as well as Microservice.
kubectl rollout restart deployment/<deploymentName> -n <namespace>
Had this problem where the Deployment was in a sub-chart and the values controlling it were in the parent chart's values file. This is what we used to trigger restart:
spec:
template:
metadata:
annotations:
checksum/config: {{ tpl (toYaml .Values) . | sha256sum }}
Obviously this will trigger restart on any value change but it works for our situation. What was originally in the child chart would only work if the config.yaml in the child chart itself changed:
checksum/config: {{ include (print $.Template.BasePath "/config.yaml") . | sha256sum }}
Consider using kustomize (or kubectl apply -k) and then leveraging it's powerful configMapGenerator feature. For example, from: https://kubectl.docs.kubernetes.io/references/kustomize/kustomization/configmapgenerator/
apiVersion: kustomize.config.k8s.io/v1beta1
kind: Kustomization
# Just one example of many...
- name: my-app-config
literals:
- JAVA_HOME=/opt/java/jdk
- JAVA_TOOL_OPTIONS=-agentlib:hprof
# Explanation below...
- SECRETS_VERSION=1
Then simply reference my-app-config in your deployments. When building with kustomize, it'll automatically find and update references to my-app-config with an updated suffix, e.g. my-app-config-f7mm6mhf59.
Bonus, updating secrets: I also use this technique for forcing a reload of secrets (since they're affected in the same way). While I personally manage my secrets completely separately (using Mozilla sops), you can bundle a config map alongside your secrets, so for example in your deployment:
# ...
spec:
template:
spec:
containers:
- name: my-app
image: my-app:tag
envFrom:
# For any NON-secret environment variables. Name is automatically updated by Kustomize
- configMapRef:
name: my-app-config
# Defined separately OUTSIDE of Kustomize. Just modify SECRETS_VERSION=[number] in the my-app-config ConfigMap
# to trigger an update in both the config as well as the secrets (since the pod will get restarted).
- secretRef:
name: my-app-secrets
Then, just add a variable like SECRETS_VERSION into your ConfigMap like I did above. Then, each time you change my-app-secrets, just increment the value of SECRETS_VERSION, which serves no other purpose except to trigger a change in the kustomize'd ConfigMap name, which should also result in a restart of your pod. So then it becomes:
I also banged my head around this problem for some time and wished to solve this in an elegant but quick way.
Here are my 20 cents:
The answer using labels as mentioned here won't work if you are updating labels. But would work if you always add labels. More details here.
The answer mentioned here is the most elegant way to do this quickly according to me but had the problem of handling deletes. I am adding on to this answer:
Solution
I am doing this in one of the Kubernetes Operator where only a single task is performed in one reconcilation loop.
Compute the hash of the config map data. Say it comes as v2.
Create ConfigMap cm-v2 having labels: version: v2 and product: prime if it does not exist and RETURN. If it exists GO BELOW.
Find all the Deployments which have the label product: prime but do not have version: v2, If such deployments are found, DELETE them and RETURN. ELSE GO BELOW.
Delete all ConfigMap which has the label product: prime but does not have version: v2 ELSE GO BELOW.
Create Deployment deployment-v2 with labels product: prime and version: v2 and having config map attached as cm-v2 and RETURN, ELSE Do nothing.
That's it! It looks long, but this could be the fastest implementation and is in principle with treating infrastructure as Cattle (immutability).
Also, the above solution works when your Kubernetes Deployment has Recreate update strategy. Logic may require little tweaks for other scenarios.
How do I automatically restart Kubernetes pods and pods associated
with deployments when their configmap is changed/updated?
If you are using configmap as Environment you have to use the external option.
Reloader
Kube watcher
Configurator
Kubernetes auto-reload the config map if it's mounted as volume (If subpath there it won't work with that).
When a ConfigMap currently consumed in a volume is updated, projected
keys are eventually updated as well. The kubelet checks whether the
mounted ConfigMap is fresh on every periodic sync. However, the
kubelet uses its local cache for getting the current value of the
ConfigMap. The type of the cache is configurable using the
ConfigMapAndSecretChangeDetectionStrategy field in the
KubeletConfiguration struct. A ConfigMap can be either propagated by
watch (default), ttl-based, or by redirecting all requests directly to
the API server. As a result, the total delay from the moment when the
ConfigMap is updated to the moment when new keys are projected to the
Pod can be as long as the kubelet sync period + cache propagation
delay, where the cache propagation delay depends on the chosen cache
type (it equals to watch propagation delay, ttl of cache, or zero
correspondingly).
Official document : https://kubernetes.io/docs/concepts/configuration/configmap/#mounted-configmaps-are-updated-automatically
ConfigMaps consumed as environment variables are not updated automatically and require a pod restart.
Simple example Configmap
apiVersion: v1
kind: ConfigMap
metadata:
name: config
namespace: default
data:
foo: bar
POD config
spec:
containers:
- name: configmaptestapp
image: <Image>
volumeMounts:
- mountPath: /config
name: configmap-data-volume
ports:
- containerPort: 8080
volumes:
- name: configmap-data-volume
configMap:
name: config
Example : https://medium.com/#harsh.manvar111/update-configmap-without-restarting-pod-56801dce3388
Adding the immutable property to the config map totally avoids the problem. Using config hashing helps in a seamless rolling update but it does not help in a rollback. You can take a look at this open-source project - 'Configurator' - https://github.com/gopaddle-io/configurator.git .'Configurator' works by the following using the custom resources :
Configurator ties the deployment lifecycle with the configMap. When
the config map is updated, a new version is created for that
configMap. All the deployments that were attached to the configMap
get a rolling update with the latest configMap version tied to it.
When you roll back the deployment to an older version, it bounces to
configMap version it had before doing the rolling update.
This way you can maintain versions to the config map and facilitate rolling and rollback to your deployment along with the config map.
Another way is to stick it into the command section of the Deployment:
...
command: [ "echo", "
option = value\n
other_option = value\n
" ]
...
Alternatively, to make it more ConfigMap-like, use an additional Deployment that will just host that config in the command section and execute kubectl create on it while adding an unique 'version' to its name (like calculating a hash of the content) and modifying all the deployments that use that config:
...
command: [ "/usr/sbin/kubectl-apply-config.sh", "
option = value\n
other_option = value\n
" ]
...
I'll probably post kubectl-apply-config.sh if it ends up working.
(don't do that; it looks too bad)