Given a container in a Azure container registry and a kubernetes cluster setup via the portal. Are there any visual tools that I can use so that I don't have to use the command line commands ,for things like add/edit the yaml file and launching the cluster?
For example I found this tool https://k8syaml.com/, but this is only one part of the process and it is also not aware of the existing infrastructure.
What are the visual tools to manage kubernetes end-to-end?
One tool I always work with when dealing with Kubernetes is Lens. Here is a video showing you what it can do. Best of all, it just needs the kube config file and so it is agnostic to where the Kubernetes cluster is (On-Prem, GKE, AKS, EKS)
kubectx for switching between contexts (clusters) & K9s is widely used that is something hybrid between being a cli and visual tool.
Octant is another option - https://github.com/vmware-tanzu/octant, it is similar to lens
Related
I have been working with kubernetes in a staging environment for a couple of month and want to switch to production, I came across a tool called Rancher almost 2 weeks ago and since then am going through their documents.
It was recommended by the developers and also in the community not to use rancher in production kubernete and preferably create a separated cluster for that and add an agent to your main production cluster from that one.
However in the latest stable version, there is actually an option you can tick to use the rancher only for local cluster so this question came to my mind that:
If the latest stable version of rancher is modified to be deployed on production cluster itself rather than having dedicated cluster? and if there is any security or restarting issues can happen that deletes all the configurations for other components on cluster
Note: on another staging environment I installed on the local clustor an instance of wordpress and ghost and both were working fine.
I still think the best option for you would be to have fully accessible own cluster and you wont be dependent to rancher cloud solutions. I am not saying Rancher is bad - no. Just If you are talking about PRODUCTION environment - my personal opinion cluster should be own. Sure arguable topic.
What I can mention also here - you can use any of Useful Interactive Terminal and Graphical UI Tools for Kubernetes . for example Octant
Octant is a browser-based UI aimed at application developers giving
them visibility into how their application is running. I also think
this tool can really benefit anyone using K8s, especially if you
forget the various options to kubectl to inspect your K8s Cluster
and/or workloads. Octant is also a VMware Open Source project and it
is supported on Windows, Mac and Linux (including ARM) and runs
locally on a system that has access to a K8S Cluster. After installing
Octant, just type octant and it will start listening on localhost:7777
and you just launch your web browser to access the UI.
I have two servers at my home with Gentoo Linux ~amd64.I would like to install Kubernetes on them to play with it a bit.
Gentoo now packages all the Kubernetes related dependencies under one package called sys-cluster/kubernetes and the latest version available at the moment is 1.18.3.
the last time I played with Kubernetes was several years ago and I think I completely forgot everything.
so I installed kubernetes on both servers. since I use systemd and the package contains only kubelet systemd service I created systemd init scripts for also kube-apiserver, kube-controller-manager, kube-proxy and kube-scheduler.
now this package also comes with kubeadm but I would like to know how to install and configure kubernetes manually.
now I want to create a kubeconfig file for my cluster configuration.
I googled and found the following url: http://docs.shippable.com/deploy/tutorial/create-kubeconfig-for-self-hosted-kubernetes-cluster/
the first step is Make sure you can access the cluster but I thought I wanted to create kubeconfig in order for the services to properly know how to access my cluster!
this web site already talks about secrets that where already configured which aren't.. i'm starting from scratch and this is not probably the way to go.
In general I want to know how to properly create a kubeconfig file for my setup, then i'll configure the services to use this kubeconfig file and go on from there.
so any information regarding this issue would be greatly appreciated.
so I asked this also in Kubernetes slack channel and they provided me this project: https://github.com/kelseyhightower/kubernetes-the-hard-way
it's a documentation project on how to configure kubernetes the hard way, in the documentation they set it up in google cloud, but it's easy to understand what they did on cloud and how to configure the same on your network.
Currently, I deploy python scripts on Kubernetes using Codefresh. I'm looking to incorporate Kubeflow into the deployment plan to get all the Kubeflow goodies such as the UI and all but I'm a little clueless on how to start or where to look.
The docs for Kubeflow mainly only cover setting up with Google Cloud Platform only. Does anybody have any experience with this?
You can use these instructions to install kubeflow on any existing kubernetes cluster, regardless of whether you are running on GCP or any other platform.
These steps can be converted into a codefresh pipeline like any other set of commands. If you need help with that let me know, we use codefresh and I'm well versed with there pipeline files.
Let's say I have a flask app, a PostgreSQL, and a Redis app. what is the best practice way to develop those apps locally which then later be deployed to Kubernetes.
Because, I have tried to develop in minikube with ksync, but I get difficulties in getting detailed debug log information.
Any ideas?
What we do with our systems is that we develop and test them locally. I am not very knowledgeable with Flask and ksyncy, but say for example, you are using Lagom Microservices Framework in Java, you run you app locally using the SBT shell where you can view all your logs. We then automate the deployment using LightBend Orchestration.
When you then decide to test the app on Kubernetes, you can choose to use minikube, but you have to configure the logging properly. You can configure centralised logging for Kubernetes using the EFK stack. This will collect all the logs from the various components of your app and store them in Elastic Search. You can then view these logs using The Kibana Dashboard. You can do a lot with the dashboard, you can view logs for a given period, or search logs by k8s namespace, or by container.
There are multiple solutions for this (aka GitOps with Kubernetes):
Skaffold
Draft
Flux - IMO the most mature.
Ksonnet
GitKube
Argo - A bit more of a workflow engine.
Metaparticle - Deploy with actual code.
I think the solution is using skaffold
Stupid question, but right now I'm deploying my Kubernetes cluster inside a VM. Is there a way to deploy it directly onto my machine?
I'm sure there has to be a easy fix but many of the docs I've read have been focused on deploying it inside VM.
I am assuming you are using some flavor of Linux; otherwise the information below won't be useful to you.
The easiest way of bare metal deployment ("onto your machine") is by using kubeadm. The documentation for that is excellent.
(If you need help with then reply with your exact OS flavor and version and I can edit this answer to reflect that specific situation.)