kubetest | Write unit tests for your Kubernetes configurations | Frontend Framework library
kandi X-RAY | kubetest Summary
kandi X-RAY | kubetest Summary
kubetest is a tool for running tests against a Kubernetes YAML or JSON configuration file. These tests can be used to enforce local or global best-practices, for example:. kubetest is currently alpha quality and undoutedly has a few issues. Things will change, hopefully for the better. Please open issues if you have feedback when trying it out.
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Community Discussions
Trending Discussions on kubetest
QUESTION
I have a Kubernetes Cluster running on a 1 master, 2 worker setup ob linux servers. I have a HAProxy forwarding my requests to Nginx Controllers. My complete setup is behind a corporate proxy. The DNS entry is enabled in this corporate proxy. Requests will get to the nginx controller, but wont be forwarded to the service. I installed the ingress controller as descibed by many tutorials with the files in https://github.com/kubernetes/ingress-nginx .
I'm new to stack overflow, so if i should give more specific information just let me know. I hope someone can help me with my issue, thank you in advance :D
My Ingress with missing Address:
...ANSWER
Answered 2021-Jan-31 at 14:29Looking at the Ingress definition, I see that it misses the ingress class. Either you defined an IngressClass annotated as the default class to use, or that may be the reason your Ingress is not working, at the moment.
An Ingress Class is basically a category which specify who needs to serve and manage the Ingress, this is necessary since in a cluster you can have more than one Ingress controller, each one with its rules and configurations.
Depending on the Kubernetes version, the ingress class can be defined with an annotation on the ingress (before v1.18) such as:
QUESTION
I have end-to-end tests written in pytest, running on a Kubernetes cluster in Namespace foo
. Now I want to add simple chaos engineering to the tests to check the resilience of my services. For this, I only need to delete specific pods within foo
-- since K8s restarts the corresponding service, this simulates the service being temporarily unreachable.
What is a simple way to delete a specific pod in the current namespace with Python?
What I have tried so far:
Since I did not find a suitable example in https://github.com/kubernetes-client/python/tree/master/examples, but the ones using pods looked quite complex,
I looked into kubetest
, which seems very simple and elegant.
I wanted to use the kube
fixture and then do something like this:
ANSWER
Answered 2020-Oct-06 at 19:26you can use delete_namespaced_pod
(from CoreV1Api) to delete specific pods within a namespace.
Here is an example:
QUESTION
I'm trying to add an image to the Docker daemon running inside my Minikube, so it can be Pulled locally for Development purposes.
First I check the list of local installed Docker images
...ANSWER
Answered 2020-Sep-04 at 12:19sudo
discards most environment variables, but it's not necessary here.
The only reason you generally need to sudo docker ...
is because access on the /var/run/docker.sock
file is restricted; and that's because you can very easily use it to root the host. If you've set the $DOCKER_HOST
environment variable, you're not using this socket file, and so you don't need sudo
.
If you really need to run docker build
as root for other reasons, sudo -E
will preserve environment variables.
QUESTION
I'm interested in Tekton these days.
However there are some issue when I implement Task
with java fabric8.tekton apis.
There exist api which is adding steps in spec in units of container(withContainer
) in TaskBuilder
class.
However I got error message in rune time like below,
Can I get some advices?
Tekton version - v0.10.1
I used packages like below:
io.fabric8:kubernetes-client:4.7.1
io.fabric8:tekton-client:4.7.1
Here is my complete test code.
...ANSWER
Answered 2020-Mar-02 at 15:24Tekton ships with an admission controller, which validates the CRD specs before allowing them into the cluster. Because the project is still in alpha, its moving quite fast. Fabric8 may be templating out K8s objects against a different spec from what has been installed on your cluster. You should be able to validate the spec version used in Fabric8 and remove all the Tekton objects in your cluster and re-apply them at a specific version.
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