I am just exploring and want to helm my k8dash, but got the weird error since I have been able to deploy on AWS EKS.
I am running them on my Minikube V1.23.2
My helm version is v3.6.2
Kubernetes kubectl version is v1.22.3
Basically if I do helm template, the VirtualServer would be like this:
apiVersion: k8s.nginx.org/v1
kind: VirtualServer
metadata:
name: k8dash
namespace: k8dash
spec:
host: namahost.com
routes:
- action:
pass: RELEASE-NAME
path: /
upstreams:
- name: RELEASE-NAME
port: 80
service: RELEASE-NAME
and I got this error:
Error: unable to build Kubernetes objects from release manifest: unable to recognize "": no matches for kind "VirtualServer" in version "k8s.nginx.org/v1"
It's weird, deploying this one on AWS EKS just fine but locally got this error and I could not find any clue while Googling. Does it has something to do with my tools version?
You have to install additional CRDs as both VirtualServer and VirtualServerRoute are not oob, but nginx resources.
CustomResourceDefinitions:
The CustomResourceDefinition API resource allows you to define custom
resources. Defining a CRD object creates a new custom resource with a
name and schema that you specify. The Kubernetes API serves and
handles the storage of your custom resource. The name of a CRD object
must be a valid DNS subdomain name.
This frees you from writing your own API server to handle the custom
resource, but the generic nature of the implementation means you have
less flexibility than with API server aggregation.
Nginx Create Custom Resources
Note: By default, it is required to create custom resource definitions
for VirtualServer, VirtualServerRoute, TransportServer and Policy.
Otherwise, the Ingress Controller pods will not become Ready. If you’d
like to disable that requirement, configure -enable-custom-resources
command-line argument to false and skip this section.
Create custom resource definitions for VirtualServer and VirtualServerRoute, TransportServer and Policy resources.
You can find crds under https://github.com/nginxinc/kubernetes-ingress/tree/master/deployments/common/crds:
$ git clone https://github.com/nginxinc/kubernetes-ingress/
$ cd kubernetes-ingress/deployments
$ git checkout v2.0.3 (or latest, as you wish)
$ kubectl apply -f common/crds/k8s.nginx.org_virtualservers.yaml
$ kubectl apply -f common/crds/k8s.nginx.org_virtualserverroutes.yaml
$ kubectl apply -f common/crds/k8s.nginx.org_transportservers.yaml
$ kubectl apply -f common/crds/k8s.nginx.org_policies.yaml
After successful applying you will be able to create both VirtualServer and VirtualServerRoute
Consider the following example provided in this doc.
What I'm trying to achieve is to see the 3 replicas names from inside the container.
following this guide I was able to get the current pod name, but i need also the pod names from my replicas.
Ideally i would like to:
print(k8s.get_my_replicaset_names())
or
print(os.getenv("MY_REPLICASET"))
and have a result like:
[frontend-b2zdv,frontend-vcmts,frontend-wtsmm]
that is the pod names of all the container's replicas (also the current container of course) and eventually compare the current name in the name list to get my index in the list.
Is there any way to achieve this?
As you can read here, the Downward API is used to expose Pod and Container fields to a running Container:
There are two ways to expose Pod and Container fields to a running
Container:
Environment variables
Volume Files
Together, these two ways of exposing Pod and Container fields are
called the Downward API.
It is not meant to expose any information about other objects/resources such as ReplicaSet or Deployment, that manage such a Pod.
You can see exactly what fields contains the yaml manifest that describes a running Pod by executing:
kubectl get pods <pod_name> -o yaml
The example fragment of its output may look as follows:
apiVersion: v1
kind: Pod
metadata:
annotations:
<some annotations here>
...
creationTimestamp: "2020-10-08T22:18:03Z"
generateName: nginx-deployment-7bffc778db-
labels:
app: nginx
pod-template-hash: 7bffc778db
name: nginx-deployment-7bffc778db-8fzrz
namespace: default
ownerReferences: 👈
- apiVersion: apps/v1
blockOwnerDeletion: true
controller: true
kind: ReplicaSet 👈
name: nginx-deployment-7bffc778db 👈
...
As you can see, in metadata section it contains ownerReferences which in the above example contains one reference to a ReplicaSet object by which this Pod is managed. So you can get this particular ReplicaSet name pretty easily as it is part of a Pod yaml manifest.
However, you cannot get this way information about other Pods managed by this ReplicaSet .
Such information only can be obtained from the api server e.g by using kubectl client or programmatically with direct calls to the API.
I've just started learning kubernetes, in every tutorial the writer generally uses "kubectl .... deploymenst" to control the newly created deploys. Now, with those commands (ex kubectl get deploymets) i always get the response No resources found in default namespace., and i have to use "pods" instead of "deployments" to make things work (which works fine).
Now my question is, what is causing this to happen, and what is the difference between using a deployment or a pod? ? i've set the docker driver in the first minikube, it has something to do with this?
First let's brush up some terminologies.
Pod - It's the basic building block for Kubernetes. It groups one or more containers (such as Docker containers), with shared storage/network, and a specification for how to run the containers.
Deployment - It is a controller which wraps Pod/s and manages its life cycle, which is to say actual state to desired state. There is one more layer in between Deployment and Pod which is ReplicaSet : A ReplicaSet’s purpose is to maintain a stable set of replica Pods running at any given time. As such, it is often used to guarantee the availability of a specified number of identical Pods.
Below is the visualization:
Source: I drew it!
In you case what might have happened :
Either you have created a Pod not a Deployment. Therefore, when you do kubectl get deployment you don't see any resources. Note when you create Deployments it in turn creates a ReplicaSet for you and also creates the defined pods.
Or may be you created your deployment in a different namespace, if that's the case, then type this command to find your deployments in that namespace kubectl get deploy NAME_OF_DEPLOYMENT -n NAME_OF_NAMESPACE
More information to clarify your concepts:
Source
Below the section inside spec.template is the section which is supposedly your POD manifest if you were to create it manually and not take the deployment route. Now like I said earlier in simple terms Deployments are a wrapper to your PODs, therefore anything which you see outside the path spec.template is the configuration which you will need to defined on how you want to manage (scaling,affinity, e.t.c) your POD
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
ports:
- containerPort: 80
Deployment is a controller providing higher level abstraction on top of pods and ReplicaSets. A Deployment provides declarative updates for Pods and ReplicaSets. Deployments internally creates ReplicaSets within which pods are created.
Use cases of deployment is documented here
One reason for No resources found in default namespace could be that you created the deployment in a specific namespace and not in default namespace.
You can see deployments in a specific namespace or in all namespaces via
kubectl get deploy -n namespacename
kubectl get deploy -A
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
...
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)