argocd-autopilot VS argo-cd

# get the nodes in the cluster data "proxmox_virtual_environment_nodes" "proxmox_nodes" {} # VM Definition resource "proxmox_virtual_environment_vm" "example" { count = var.vm_count name = count.index + 1 <= var.vm_masters ? "${var.vm_name}-master-${format("%02d", count.index + 1)}" : "${var.vm_name}-worker-${format("%02d", count.index - (var.vm_masters - 1))}" node_name = data.proxmox_virtual_environment_nodes.proxmox_nodes.names[count.index % length(data.proxmox_virtual_environment_nodes.proxmox_nodes.names)] vm_id = count.index + 1 <= var.vm_masters ? var.vm_proxmox_id + count.index : var.vm_proxmox_id + count.index + (var.vm_proxmox_id_offset - var.vm_masters) tags = sort(concat(var.vm_proxmox_tags, [count.index + 1 <= var.vm_masters ? "master" : "worker"] )) agent { enabled = true trim = true } cpu { sockets = var.vm_sockets cores = var.vm_cores } memory { dedicated = count.index + 1 <= var.vm_masters ? var.vm_mem_master : var.vm_mem_worker } disk { interface = "scsi0" datastore_id = var.clone_target_local ? var.clone_target_datastore_local : var.clone_target_datastore_nfs ssd = true size = count.index + 1 <= var.vm_masters ? var.vm_disk_size_master : var.vm_disk_size_worker iothread = true discard = "on" } network_device { model = "virtio" mac_address = count.index + 1 <= var.vm_masters ? "${var.net_mac_address_base}AA:${format("%02d", count.index)}" : "${var.net_mac_address_base}BB:${format("%02d", count.index - var.vm_masters)}" # vlan_id = var.net_vlan_id # Not needed since using dedicated interface bridge = var.net_bridge } serial_device {} # clone information clone { vm_id = var.clone_target_local ? var.clone_vm_id + (count.index % var.vm_masters) : var.clone_vm_id datastore_id = var.clone_target_local ? var.clone_target_datastore_local : var.clone_target_datastore_nfs node_name = var.clone_target_local ? data.proxmox_virtual_environment_nodes.proxmox_nodes.names[count.index % length(data.proxmox_virtual_environment_nodes.proxmox_nodes.names)]: data.proxmox_virtual_environment_nodes.proxmox_nodes.names[0] } # had to add a wait for agent to come alive provisioner "remote-exec" { inline = [ "sudo cloud-init status --wait", "sudo systemctl start qemu-guest-agent", ] connection { type = "ssh" agent = false port = 22 host = element(element(self.ipv4_addresses, index(self.network_interface_names, "eth0")), 0) private_key = file(var.public_key_path) user = var.vm_username } } } # Create file for ansible inventory resource "local_file" "k3s_file" { content = templatefile( "${path.module}/templates/inventory_ansible.tftpl", { ansible_masters = "${join("\n", [for vm in slice(proxmox_virtual_environment_vm.example, 0, var.vm_masters) : join("", [vm.ipv4_addresses[1][0] ])])}" ansible_nodes = "${join("\n", [for vm in slice(proxmox_virtual_environment_vm.example, var.vm_masters , var.vm_count) : join("", [vm.ipv4_addresses[1][0] ])])}" } ) filename = "${path.module}/../ansible-k3s/inventory/k3s-cluster/hosts.ini" } #connecting to the Ansible control node and call ansible playbook to build the k3s cluster resource "null_resource" "call-ansible" { provisioner "local-exec" { command = "ANSIBLE_HOST_KEY_CHECKING=False ansible-playbook ${path.module}/../ansible-k3s/site.yml -i ${path.module}/../ansible-k3s/inventory/k3s-cluster/hosts.ini" } depends_on = [ local_file.k3s_file ] } #Copy the kubectl file locally so we can issue commands against the cluster resource "null_resource" "copy-kubeconfig" { provisioner "local-exec" { command = "scp -o 'StrictHostKeyChecking no' seb@${proxmox_virtual_environment_vm.example[0].ipv4_addresses[1][0]}:~/.kube/config ~/.kube/config " } depends_on = [ null_resource.call-ansible ] } #bootstrap the cluster with argocd-autopilot resource "null_resource" "argocd-autopilot" { provisioner "local-exec" { command = ( var.first_install ? "argocd-autopilot repo bootstrap --repo ${var.github_repo} -t ${var.github_token} --app https://github.com/argoproj-labs/argocd-autopilot/manifests/ha" : "argocd-autopilot repo bootstrap --recover --app ${var.github_repo}.git/bootstrap/argo-cd" ) } depends_on = [ null_resource.copy-kubeconfig ] }

I use Argo CD Autopilot which bootstraps Argo CD in a self-managing structure. If nothing else, copy the repo structure https://github.com/argoproj-labs/argocd-autopilot

We use the same approach internally and we fully open-sourced our solution at https://argocd-autopilot.readthedocs.io/en/stable/

I recommend utilising Autopilot a companion project that not only installs Argo CD but also commits all configurations to git so Argo CD can maintain itself using GitOps.

Check https://argocd-autopilot.readthedocs.io/en/stable/ It is an installer that does exactly that. It installs ArgoCD, sets it up to manage itself and offers a suggested bootstrap for your applications

Checkout the ArgoCD autopilot if you're using kustomize rather than helm

The code above will create the argocd Kubernetes namespace and deploy the latest stable manifest. If you would like to install a specific manifest, have a look here.

In this blog post, we will demonstrate how easy and fast it is to deploy Sveltos on an RKE2 cluster with the help of ArgoCD, register two RKE2 Cluster API (CAPI) clusters and create a ClusterProfile to deploy Prometheus and Grafana Helm charts down the managed CAPI clusters.

Argo CD

$version = (Invoke-RestMethod https://api.github.com/repos/argoproj/argo-cd/releases/latest).tag_name Invoke-WebRequest -Uri "https://github.com/argoproj/argo-cd/releases/download/$version/argocd-windows-amd64.exe" -OutFile "argocd.exe"

This is cool - I can think of some projects that are amazing as first contributors, and others I can think of that are terrible.

One thing I think the tool doesn't address is why someone should contribute to a particular project. Having stars is interesting, and a proxy for at least historical activity, but also kind of useless here - take argoproj/argo-cd [1] as an example - 14.5k stars, with a backlog of 2.7k issues and an issue tracker that's a real mess.

Either way, I think this tool is neat for trying to gain some experience in a project purely based on language.

[1] https://github.com/argoproj/argo-cd/issues?q=is%3Aissue+is%3...

In our case, our team went ahead with Solution B, as that was the only solution present when the issue occurred. However, with the release of Argo CD 2.8.0 (released on August 7, 2023), things have changed - for the better :). Now, there are two ways to handle the sharding issue with the Argo CD Application Controller:

$ kubectl create namespace argocd //Next, let's apply the yaml configuration files for ArgoCd $ kubectl apply -n argocd -f https://raw.githubusercontent.com/argoproj/argo-cd/stable/manifests/install.yaml //Now we can view the pods created in the ArgoCD namespace. $ kubectl get pods -n argocd //To interact with the API Server we need to deploy the CLI: $ curl --silent --location -o /usr/local/bin/argocd https://github.com/argoproj/argo-cd/releases/download/v2.4.7/argocd-linux-amd64 $ chmod +x /usr/local/bin/argocd //Expose argocd-server $ kubectl patch svc argocd-server -n argocd -p '{"spec": {"type": "LoadBalancer"}}' //Wait about 2 minutes for the LoadBalancer creation $ kubectl get svc -n argocd //Get pasword and decode it. $ kubectl get secret argocd-initial-admin-secret -n argocd -o yaml $ echo WXVpLUg2LWxoWjRkSHFmSA== | base64 --decode

From here, we can explore other developments and tutorials on Kubernetes, such as o11y or observability (PLG, ELK, ELF, TICK, Jaeger, Pyroscope), service mesh (Linkerd, Istio, NSM, Consul Connect, Cillium), and progressive delivery (ArgoCD, FluxCD, Spinnaker).

lol! Wham! Third choice! https://github.com/argoproj/argo-cd

If you mean for each app, I don't think it's listed anywhere though you may find it in `repo-server` logs. Like so