kubespy VS kops

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There are other infrastructure as code tools that take secrets seriously. Pulumi encrypts all values in state and you can even bring your own key from your cloud provider

*Codifying the deployment of the OTel Collector *(to Nomad, Kubernetes, or a VM) using tools such as Terraform, Pulumi, or Ansible. The Collector funnels your OTel data to your Observability back-end. ✅

KubeSpy - to see what's going on a deployment real time. https://github.com/pulumi/kubespy

it takes too much time, terraform configs are not easy to use also. Pulumi is much better to maintenance. Cloudy is good enough for launching a production-ready cluster in 5-10 minutes. It could be an alternative to kops

Just wanted to mention a Terraform alternative I really like, especially cause it's infrastructure as code (IaC) http://pulumi.com/, though I'm not sure about their approach on multi cloud, haven't used it in quite a while

That is the entire point of Pulumi, you should give it a try

pulumi.com if you are interested in doing anything dynamic inside of your templates (i.e. conditions) take a look at pulumi

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.