kubeapp | Some commonly used kubernetes app

by cnych Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | kubeapp Summary

kubeapp is a Python library typically used in Template Engine applications. kubeapp has no bugs, it has no vulnerabilities and it has low support. However kubeapp build file is not available. You can download it from GitHub.

Some commonly used kubernetes app ~~~

Support

Quality

Security

License

Reuse

Support

kubeapp has a low active ecosystem.

It has 130 star(s) with 91 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 2 have been closed. On average issues are closed in 434 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of kubeapp is current.

Quality

kubeapp has 0 bugs and 0 code smells.

Security

kubeapp has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

kubeapp code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

kubeapp does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

kubeapp releases are not available. You will need to build from source code and install.

kubeapp has no build file. You will be need to create the build yourself to build the component from source.

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kubeapp Key Features

No Key Features are available at this moment for kubeapp.

kubeapp Examples and Code Snippets

No Code Snippets are available at this moment for kubeapp.

Community Discussions

Trending Discussions on kubeapp

Kube-Prometheus-Stack Helm Chart v14.40 : Node-exporter and scrape targets unhealthy in Docker For Mac Kubernetes Cluster on macOS Catalina 10.15.7

How to configure kube-prometheus-stack helm installation to scrape a Kubernetes service?

Having as many Pods as Nodes

QUESTION

Kube-Prometheus-Stack Helm Chart v14.40 : Node-exporter and scrape targets unhealthy in Docker For Mac Kubernetes Cluster on macOS Catalina 10.15.7

Asked 2021-Apr-02 at 11:15

I have installed kube-prometheus-stack as a dependency in my helm chart on a local Docker for Mac Kubernetes cluster v1.19.7.

The myrelease-name-prometheus-node-exporter service is failing with errors received from the node-exporter daemonset after installation of the helm chart for kube-prometheus-stack is installed. This is installed in a Docker Desktop for Mac Kubernetes Cluster environment.

release-name-prometheus-node-exporter daemonset error log

...

ANSWER

Answered 2021-Apr-01 at 08:10

This issue was solved recently. Here is more information: https://github.com/prometheus-community/helm-charts/issues/467 and here: https://github.com/prometheus-community/helm-charts/pull/757

Here is the solution (https://github.com/prometheus-community/helm-charts/issues/467#issuecomment-802642666):

[you need to] opt-out the rootfs host mount (preventing the crash). In order to do that you need to specify the following value in values.yaml file:

Source https://stackoverflow.com/questions/66893031

QUESTION

How to configure kube-prometheus-stack helm installation to scrape a Kubernetes service?

Asked 2021-Mar-30 at 17:37

I have installed kube-prometheus-stack as a dependency in my helm chart on a local docker for Mac Kubernetes cluster v1.19.7. I can view the default prometheus targets provided by the kube-prometheus-stack.

I have a python flask service that provides metrics which I can view successfully in the kubernetes cluster using kubectl port forward.

However, I am unable to get these metrics displayed on the prometheus targets web interface.

The kube-prometheus-stack documentation states that Prometheus.io/scrape does not support annotation-based discovery of services. Instead the the reader is referred to the concept of ServiceMonitors and PodMonitors.

So, I have configured my service as follows:

...

ANSWER

Answered 2021-Mar-30 at 17:33

Prometheus custom resource definition has a field called serviceMonitorSelector. Prometheus only listens to those matched serviceMonitor. In case of helm deployment it is your release name.

Source https://stackoverflow.com/questions/66875139

QUESTION

Having as many Pods as Nodes

Asked 2020-Oct-26 at 21:33

We are currently using 2 Nodes, but we may need more in the future.

The StatefulSets is a mariadb-galera is current replica is at 2.

When we'll had a new Nodes we want the replica to be a 3, f we don't need it anymore and we delete it or a other Node we want it to be a 2.

In fact, if we have 3 Nodes we want 3 replica one on each Nodes.

I could use Pod Topology Spread Constraints but we'll have a bunch of "notScheduled" pods.

Is there a way to adapt the number of Replica automatically, every time a nodes is add or remove?

...

ANSWER

Answered 2020-Oct-26 at 21:33

You could use a Daemon Set https://kubernetes.io/docs/concepts/workloads/controllers/daemonset/

Which will ensure there is one pod per node.

A DaemonSet ensures that all (or some) Nodes run a copy of a Pod. As nodes are added to the cluster, Pods are added to them. As nodes are removed from the cluster, those Pods are garbage collected. Deleting a DaemonSet will clean up the Pods it created.

Also, its not advised to run a database in anything else than a statefulset due to the pod identity concept as statefulsets have.

Due to all the database administration it is advisable to use any cloud provider managed databases or managing it, specially inside the cluster will incur in multiple issues

Source https://stackoverflow.com/questions/64544993

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install kubeapp

You can download it from GitHub.
You can use kubeapp like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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