renaming kargo-cli to kubespray-cli
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Spencer Smith
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11 changed files with 32 additions and 32 deletions
14
README.md
14
README.md
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@ -2,7 +2,7 @@
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## Deploy a production ready kubernetes cluster
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If you have questions, join us on the [kubernetes slack](https://slack.k8s.io), channel **#kargo**.
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If you have questions, join us on the [kubernetes slack](https://slack.k8s.io), channel **#kubespray**.
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- Can be deployed on **AWS, GCE, Azure, OpenStack or Baremetal**
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- **High available** cluster
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@ -13,7 +13,7 @@ If you have questions, join us on the [kubernetes slack](https://slack.k8s.io),
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To deploy the cluster you can use :
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[**kargo-cli**](https://github.com/kubespray/kargo-cli) <br>
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[**kubespray-cli**](https://github.com/kubespray/kubespray-cli) <br>
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**Ansible** usual commands and [**inventory builder**](https://github.com/kubernetes-incubator/kubespray/blob/master/contrib/inventory_builder/inventory.py) <br>
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**vagrant** by simply running `vagrant up` (for tests purposes) <br>
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@ -97,14 +97,14 @@ option to leverage built-in cloud provider networking instead.
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See also [Network checker](docs/netcheck.md).
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## Community docs and resources
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- [kubernetes.io/docs/getting-started-guides/kargo/](https://kubernetes.io/docs/getting-started-guides/kargo/)
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- [kargo, monitoring and logging](https://github.com/gregbkr/kubernetes-kargo-logging-monitoring) by @gregbkr
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- [kubernetes.io/docs/getting-started-guides/kubespray/](https://kubernetes.io/docs/getting-started-guides/kubespray/)
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- [kubespray, monitoring and logging](https://github.com/gregbkr/kubernetes-kargo-logging-monitoring) by @gregbkr
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- [Deploy Kubernetes w/ Ansible & Terraform](https://rsmitty.github.io/Terraform-Ansible-Kubernetes/) by @rsmitty
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- [Deploy a Kubernetes Cluster with Kargo (video)](https://www.youtube.com/watch?v=N9q51JgbWu8)
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- [Deploy a Kubernetes Cluster with Kubespray (video)](https://www.youtube.com/watch?v=N9q51JgbWu8)
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## Tools and projects on top of Kubespray
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- [Digital Rebar](https://github.com/digitalrebar/digitalrebar)
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- [Kargo-cli](https://github.com/kubespray/kargo-cli)
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- [Kubespray-cli](https://github.com/kubespray/kubespray-cli)
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- [Fuel-ccp-installer](https://github.com/openstack/fuel-ccp-installer)
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- [Terraform Contrib](https://github.com/kubernetes-incubator/kubespray/tree/master/contrib/terraform)
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@ -112,7 +112,7 @@ See also [Network checker](docs/netcheck.md).
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[](https://gitlab.com/kargo-ci/kubernetes-incubator__kargo/pipelines) </br>
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[](https://gitlab.com/kubespray-ci/kubernetes-incubator__kubespray/pipelines) </br>
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CI/end-to-end tests sponsored by Google (GCE), DigitalOcean, [teuto.net](https://teuto.net/) (openstack).
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See the [test matrix](docs/test_cases.md) for details.
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@ -65,7 +65,7 @@ HOST_PREFIX = os.environ.get("HOST_PREFIX", "node")
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# Configurable as shell vars end
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class KargoInventory(object):
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class KubesprayInventory(object):
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def __init__(self, changed_hosts=None, config_file=None):
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self.config = configparser.ConfigParser(allow_no_value=True,
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@ -337,7 +337,7 @@ MASSIVE_SCALE_THRESHOLD Separate K8s master and ETCD if # of nodes >= 200
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def main(argv=None):
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if not argv:
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argv = sys.argv[1:]
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KargoInventory(argv, CONFIG_FILE)
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KubesprayInventory(argv, CONFIG_FILE)
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if __name__ == "__main__":
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sys.exit(main())
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@ -1,3 +1,3 @@
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[metadata]
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name = kargo-inventory-builder
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name = kubespray-inventory-builder
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version = 0.1
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@ -31,7 +31,7 @@ class TestInventory(unittest.TestCase):
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sys_mock.exit = mock.Mock()
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super(TestInventory, self).setUp()
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self.data = ['10.90.3.2', '10.90.3.3', '10.90.3.4']
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self.inv = inventory.KargoInventory()
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self.inv = inventory.KubesprayInventory()
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def test_get_ip_from_opts(self):
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optstring = "ansible_host=10.90.3.2 ip=10.90.3.2"
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@ -1,11 +1,11 @@
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# Kargo on KVM Virtual Machines hypervisor preparation
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# Kubespray on KVM Virtual Machines hypervisor preparation
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A simple playbook to ensure your system has the right settings to enable Kargo
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A simple playbook to ensure your system has the right settings to enable Kubespray
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deployment on VMs.
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This playbook does not create Virtual Machines, nor does it run Kargo itself.
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This playbook does not create Virtual Machines, nor does it run Kubespray itself.
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### User creation
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If you want to create a user for running Kargo deployment, you should specify
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If you want to create a user for running Kubespray deployment, you should specify
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both `k8s_deployment_user` and `k8s_deployment_user_pkey_path`.
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@ -1,3 +1,3 @@
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#k8s_deployment_user: kargo
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#k8s_deployment_user: kubespray
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#k8s_deployment_user_pkey_path: /tmp/ssh_rsa
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@ -12,9 +12,9 @@
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line: 'br_netfilter'
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when: br_netfilter is defined and ansible_os_family == 'Debian'
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- name: Add br_netfilter into /etc/modules-load.d/kargo.conf
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- name: Add br_netfilter into /etc/modules-load.d/kubespray.conf
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copy:
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dest: /etc/modules-load.d/kargo.conf
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dest: /etc/modules-load.d/kubespray.conf
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content: |-
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### This file is managed by Ansible
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br-netfilter
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@ -3,17 +3,17 @@ Cloud providers
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#### Provisioning
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You can use kargo-cli to start new instances on cloud providers
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You can use kubespray-cli to start new instances on cloud providers
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here's an example
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```
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kargo [aws|gce] --nodes 2 --etcd 3 --cluster-name test-smana
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kubespray [aws|gce] --nodes 2 --etcd 3 --cluster-name test-smana
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```
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#### Deploy kubernetes
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With kargo-cli
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With kubespray-cli
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```
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kargo deploy [--aws|--gce] -u admin
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kubespray deploy [--aws|--gce] -u admin
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```
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Or ansible-playbook command
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@ -1,10 +1,10 @@
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CoreOS bootstrap
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===============
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Example with **kargo-cli**:
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Example with **kubespray-cli**:
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```
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kargo deploy --gce --coreos
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kubespray deploy --gce --coreos
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```
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Or with Ansible:
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@ -1,21 +1,21 @@
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Getting started
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===============
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The easiest way to run the deployement is to use the **kargo-cli** tool.
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A complete documentation can be found in its [github repository](https://github.com/kubespray/kargo-cli).
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The easiest way to run the deployement is to use the **kubespray-cli** tool.
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A complete documentation can be found in its [github repository](https://github.com/kubespray/kubespray-cli).
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Here is a simple example on AWS:
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* Create instances and generate the inventory
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```
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kargo aws --instances 3
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kubespray aws --instances 3
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```
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* Run the deployment
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```
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kargo deploy --aws -u centos -n calico
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kubespray deploy --aws -u centos -n calico
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```
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Building your own inventory
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@ -8,7 +8,7 @@ That would probably improve deployment speed and certs management [#553](https:/
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### Self deployment (pull-mode) [#320](https://github.com/kubespray/kubespray/issues/320)
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- the playbook would install and configure docker/rkt and the etcd cluster
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- the following data would be inserted into etcd: certs,tokens,users,inventory,group_vars.
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- a "kubespray" container would be deployed (kargo-cli, ansible-playbook, kpm)
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- a "kubespray" container would be deployed (kubespray-cli, ansible-playbook, kpm)
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- to be discussed, a way to provide the inventory
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- **self deployment** of the node from inside a container [#321](https://github.com/kubespray/kubespray/issues/321)
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@ -53,10 +53,10 @@ That would probably improve deployment speed and certs management [#553](https:/
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- (to be discussed) option to set a loadbalancer for the apiservers like ucarp/packemaker/keepalived
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While waiting for the issue [kubernetes/kubernetes#18174](https://github.com/kubernetes/kubernetes/issues/18174) to be fixed.
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### Kargo-cli
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### Kubespray-cli
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- Delete instances
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- `kargo vagrant` to setup a test cluster locally
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- `kargo azure` for Microsoft Azure support
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- `kubespray vagrant` to setup a test cluster locally
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- `kubespray azure` for Microsoft Azure support
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- switch to Terraform instead of Ansible for provisionning
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- update $HOME/.kube/config when a cluster is deployed. Optionally switch to this context
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