I use kubebuilder to quickly develop k8s operator, and now I save the yaml deployed by kustomize to a file in the following way.
create: manifests kustomize ## Create chart
cd config/manager && $(KUSTOMIZE) edit set image controller=${IMG}
$(KUSTOMIZE) build config/default --output yamls
I found a configmap, but it is not referenced by other resources.
apiVersion: v1
data:
controller_manager_config.yaml: |
apiVersion: controller-runtime.sigs.k8s.io/v1alpha1
kind: ControllerManagerConfig
health:
healthProbeBindAddress: :8081
metrics:
bindAddress: 127.0.0.1:8080
webhook:
port: 9443
leaderElection:
leaderElect: true
resourceName: 31568e44.ys7.com
kind: ConfigMap
metadata:
name: myoperator-manager-config
namespace: myoperator-system
I am a little curious what it does? can i delete it?
I really appreciate any help with this.
It is another way to provide controller configuration. Check that https://book.kubebuilder.io/component-config-tutorial/custom-type.html .
However, it should be mounted in your deployment and the file path must be provided in the --config flag (the name of the flag can be different in your case, but "config" is used in the tutorial - it depends on your code)
I feel like this should be an already asked question, but I'm having difficulties finding a concrete answer. I'm deploying Jenkins through ArgoCD by defining the deployment via kustomize (kubernetes yaml). I want to inject a prefix to have Jenkins start on /jenkins, but I don't see a way to add it. I saw online that I can have a env tag, but no full example of this was available. Where would I inject a prefix value if using kubernetes yaml for a Jenkins deployment?
So, I solved this issue myself, and I'd like to post the answer as this is the top searched question when searching "Kustomize Jenkins_opts".
In your project, assuming you are using Kustomize to deploy Jenkins (This will work with any app deployment where you want to inject values when deploying), you should have a project structure similar to this:
ProjectA
|
|---> app.yaml //contains the yaml definitions for your deployment
|---> kustomize.yaml //entry file to run Kustomize to deploy your app
Add a new file to your project structure. Name it whatever you want, I named mine something like app-env.yaml. It will look something like:
apiVersion: apps/v1
kind: Deployment
metadata:
name: jenkins
spec:
template:
spec:
containers:
- name: jenkins
env:
- name: JENKINS_OPTS
value: --prefix=/jenkins
This will specifically inject the --prefix flag to assign the prefix value for the URL to Jenkins on deployment to the Jenkins container. You can add multiple env variables. You can inject any value you want. My example is using Jenkins specific flags as this question centered around Jenkins, but it works for any app. Add this file to your Kustomize file from earlier:
namePrefix: kustomize-
resources:
- app.yaml
apiVersion: kustomize.config.k8s.io/v1beta1
kind: Kustomization
patchesStrategicMerge:
- app-env.yaml
When your app is deployed via K8s, it will run the startup process for your app, while passing the values defined in your env file. Hope this helps anyone else.
The README for kustomize says that
It's like make, in that what it does is declared in a file, and it's like sed, in that it emits edited text.
Does this analogy extend beyond the fact that files are used to declare what is needed?
Or, is kustomize backward chaining like make in that it reads all command input before working out what it has to do rather than work sequentially and step through the command input like bash working through a shell script?
EDIT: Jeff Regan, of the Kustomize team in Google, explains the model for the way kustomize works towards the beginning of his talk Kustomize: Kubernetes Configuration Customization. He also shows how kustomize may be daisy chained so the output of one kustomize may serve as the input to another kustomize. It seems that, as pointed out by ITChap below, kustomize starts by gathering all the resources referenced in the kustomization.yml file in the base dir. It the executes sequentially in a series of steps to perform the required substitutions and transformations interatively. Repeating the substitution/tranformation step as often as needed to complete. It then spits out the generated YAML on stdout. So I would say that it is not backward chaining like make but rather somewhere in between. HTH.
What I noticed so far is that kustomize will first accumulate the content of all the base resources then apply the transformations from your kustomization.yml files. If you have multiple level of overlays, it doesn't seem to pass the result from one level to the next.
Let's consider the following:
./base/pod.yml:
apiVersion: v1
kind: Pod
metadata:
name: test
spec:
containers:
- name: test
image: busybox
./base/kustomization.yml:
apiVersion: kustomize.config.k8s.io/v1beta1
kind: Kustomization
resources:
- ../pod.yml
./overlays/l1/kustomization.yml:
apiVersion: kustomize.config.k8s.io/v1beta1
kind: Kustomization
bases:
- ../base
nameSuffix: "-l1"
./overlays/l2/kustomization.yml:
apiVersion: kustomize.config.k8s.io/v1beta1
kind: Kustomization
bases:
- ../l1
nameSuffix: "-l2"
When running kustomize build overlays/l2 you are going to get a pod named test-l1-l2 as expected.
But if you try to patch the base pod you would have to reference the pod using:
patchesJson6902:
- target:
version: v1
kind: Pod
name: test
path: patch.yml
in your ./overlays/l1/kustomization.yml but also in ./overlays/l2/kustomization.yml. At the time the patch of l2 is applied, the referenced resource is still test and not test-l1.
I don't know kustomize well enough to understand the intention behind this but these are my observations. Hope it answers your question.
PS: this might change with https://github.com/kubernetes-sigs/kustomize/issues/1036
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)