kops VS k9s

The general problem of patching resource definitions that are not fully under your control has also been recognized for some time. This is true of default resources created and updated by cluster maintenance tools (e.g. kOps), or by public helm charts that you use to install common services and operators (e.g. nginx-ingress, cert-manager, and so on). High quality charts will allow you to override the configuration of important components such as service account references, but some simpler charts offer much less configuration.

The kops documentation is not very clear about this.

Very fast progress and great article with lots of useful information. I found myself nodding a lot having recently seen GitLab Dedicated https://docs.gitlab.com/ee/subscriptions/gitlab_dedicated/ being developed that had my similar challenges. I wonder what other people think of Kops https://kops.sigs.k8s.io/

note: I work with kube on a daily basis. All current clusters under my care use a managed backplane service though there are a number of small (3+ years-old) clusters that I still keep an eye on that were initialized using kops.

kOps with your own instances.

Companies run their own clusters (sometimes for cost reasons), using tools like kops, and kubeadm to set up their own clusters.

curl -Lo kops https://github.com/kubernetes/kops/releases/download/$(curl -s https://api.github.com/repos/kubernetes/kops/releases/latest | grep tag_name | cut -d '"' -f 4)/kops-linux-amd64 chmod +x kops sudo mv kops /usr/local/bin/

Kops is a cluster setup and management command line tool that deploys a Kubernetes cluster to AWS. It provides configuration abstractions such as manifest YAML files that facilitate node and components configuration. And like Ansible, it will provide dry-run capabilities and ensures idempotency of changing the nodes.

Pierre: The first tool I recommend is K9s. It's not just a time-saver but a productivity booster. With its intuitive interface, you can speed up all the usual kubectl commands, access logs, edit resources and configurations, and more. It's like having a personal assistant for your cluster management tasks.

The last thing you really need is a common set of tools that you want fingertip access to. I really commonly use LazyGit and K9s in my day job so those are the tools I will show off in this article.

K9s is your best friend (get it? 🐶) when exploring your cluster via the terminal. It shares commonality with Vim for its interaction style using shortcuts and starting commands with: but don’t let that discourage you. K9s keeps a vigilant eye on Kubernetes activities, providing real-time information and intuitive commands for resource interaction.

k9s: brew install k9s

I would like to put in a vote for k9s, which is also on the list at Terminal Trove. [0] It's the most convenient tool I've ever found for Kubernetes management. Based on that experience I'll definitely be checking out Harlequin.

[0] https://k9scli.io/

$ wget https://github.com/derailed/k9s/releases/download/v0.29.1/k9s_Darwin_amd64.tar.gz $ tar -xzf k9s_Darwin_amd64.tar.gz $ sudo mv k9s /usr/local/bin/

All in all, run things, do some kubectl apply -f something.yml every day, install k9s, and try to configure a big one cluster at some point.

(K9s is one of my favorite tools for navigating Kubernetes clusters through the CLI).

K9s is an open-source, terminal-based UI for interacting with your Kubernetes clusters, making navigating, observing, and managing your apps easier. If you use Kubectl but wish it was easier and faster to use, K9s might be just what you're looking for!

k9s