renaming kargo-cli to kubespray-cli

README.md

@@ -2,7 +2,7 @@
 
 ## Deploy a production ready kubernetes cluster
 
-If you have questions, join us on the [kubernetes slack](https://slack.k8s.io), channel **#kargo**.
+If you have questions, join us on the [kubernetes slack](https://slack.k8s.io), channel **#kubespray**.
 
 - Can be deployed on **AWS, GCE, Azure, OpenStack or Baremetal**
 - **High available** cluster
@@ -13,7 +13,7 @@ If you have questions, join us on the [kubernetes slack](https://slack.k8s.io),
 
 To deploy the cluster you can use :
 
-[**kargo-cli**](https://github.com/kubespray/kargo-cli) <br>
+[**kubespray-cli**](https://github.com/kubespray/kubespray-cli) <br>
 **Ansible** usual commands and [**inventory builder**](https://github.com/kubernetes-incubator/kubespray/blob/master/contrib/inventory_builder/inventory.py) <br>
 **vagrant** by simply running `vagrant up` (for tests purposes) <br>
 
@@ -97,14 +97,14 @@ option to leverage built-in cloud provider networking instead.
 See also [Network checker](docs/netcheck.md).
 
 ## Community docs and resources
- - [kubernetes.io/docs/getting-started-guides/kargo/](https://kubernetes.io/docs/getting-started-guides/kargo/)
- - [kargo, monitoring and logging](https://github.com/gregbkr/kubernetes-kargo-logging-monitoring) by @gregbkr
+ - [kubernetes.io/docs/getting-started-guides/kubespray/](https://kubernetes.io/docs/getting-started-guides/kubespray/)
+ - [kubespray, monitoring and logging](https://github.com/gregbkr/kubernetes-kargo-logging-monitoring) by @gregbkr
  - [Deploy Kubernetes w/ Ansible & Terraform](https://rsmitty.github.io/Terraform-Ansible-Kubernetes/) by @rsmitty
- - [Deploy a Kubernetes Cluster with Kargo (video)](https://www.youtube.com/watch?v=N9q51JgbWu8)
+ - [Deploy a Kubernetes Cluster with Kubespray (video)](https://www.youtube.com/watch?v=N9q51JgbWu8)
 
 ## Tools and projects on top of Kubespray
  - [Digital Rebar](https://github.com/digitalrebar/digitalrebar)
- - [Kargo-cli](https://github.com/kubespray/kargo-cli)
+ - [Kubespray-cli](https://github.com/kubespray/kubespray-cli)
  - [Fuel-ccp-installer](https://github.com/openstack/fuel-ccp-installer)
  - [Terraform Contrib](https://github.com/kubernetes-incubator/kubespray/tree/master/contrib/terraform)
 
@@ -112,7 +112,7 @@ See also [Network checker](docs/netcheck.md).
 
 ![Gitlab Logo](https://s27.postimg.org/wmtaig1wz/gitlabci.png)
 
-[![Build graphs](https://gitlab.com/kargo-ci/kubernetes-incubator__kargo/badges/master/build.svg)](https://gitlab.com/kargo-ci/kubernetes-incubator__kargo/pipelines) </br>
+[![Build graphs](https://gitlab.com/kubespray-ci/kubernetes-incubator__kubespray/badges/master/build.svg)](https://gitlab.com/kubespray-ci/kubernetes-incubator__kubespray/pipelines) </br>
 
 CI/end-to-end tests sponsored by Google (GCE), DigitalOcean, [teuto.net](https://teuto.net/) (openstack).
 See the [test matrix](docs/test_cases.md) for details.

contrib/inventory_builder/inventory.py

@@ -65,7 +65,7 @@ HOST_PREFIX = os.environ.get("HOST_PREFIX", "node")
 # Configurable as shell vars end
 
 
-class KargoInventory(object):
+class KubesprayInventory(object):
 
     def __init__(self, changed_hosts=None, config_file=None):
         self.config = configparser.ConfigParser(allow_no_value=True,
@@ -337,7 +337,7 @@ MASSIVE_SCALE_THRESHOLD Separate K8s master and ETCD if # of nodes >= 200
 def main(argv=None):
     if not argv:
         argv = sys.argv[1:]
-    KargoInventory(argv, CONFIG_FILE)
+    KubesprayInventory(argv, CONFIG_FILE)
 
 if __name__ == "__main__":
     sys.exit(main())

contrib/inventory_builder/setup.cfg

@@ -1,3 +1,3 @@
 [metadata]
-name = kargo-inventory-builder
+name = kubespray-inventory-builder
 version = 0.1

contrib/inventory_builder/tests/test_inventory.py

@@ -31,7 +31,7 @@ class TestInventory(unittest.TestCase):
         sys_mock.exit = mock.Mock()
         super(TestInventory, self).setUp()
         self.data = ['10.90.3.2', '10.90.3.3', '10.90.3.4']
-        self.inv = inventory.KargoInventory()
+        self.inv = inventory.KubesprayInventory()
 
     def test_get_ip_from_opts(self):
         optstring = "ansible_host=10.90.3.2 ip=10.90.3.2"

contrib/kvm-setup/README.md

@@ -1,11 +1,11 @@
-# Kargo on KVM Virtual Machines hypervisor preparation
+# Kubespray on KVM Virtual Machines hypervisor preparation
 
-A simple playbook to ensure your system has the right settings to enable Kargo
+A simple playbook to ensure your system has the right settings to enable Kubespray
 deployment on VMs.
 
-This playbook does not create Virtual Machines, nor does it run Kargo itself.
+This playbook does not create Virtual Machines, nor does it run Kubespray itself.
 
 ### User creation
 
-If you want to create a user for running Kargo deployment, you should specify
+If you want to create a user for running Kubespray deployment, you should specify
 both `k8s_deployment_user` and `k8s_deployment_user_pkey_path`.

contrib/kvm-setup/group_vars/all

@@ -1,3 +1,3 @@
-#k8s_deployment_user: kargo
+#k8s_deployment_user: kubespray
 #k8s_deployment_user_pkey_path: /tmp/ssh_rsa
 

contrib/kvm-setup/roles/kvm-setup/tasks/sysctl.yml

@@ -12,9 +12,9 @@
     line: 'br_netfilter'
   when: br_netfilter is defined and ansible_os_family == 'Debian'
 
-- name: Add br_netfilter into /etc/modules-load.d/kargo.conf
+- name: Add br_netfilter into /etc/modules-load.d/kubespray.conf
   copy:
-    dest: /etc/modules-load.d/kargo.conf
+    dest: /etc/modules-load.d/kubespray.conf
     content: |-
       ### This file is managed by Ansible
       br-netfilter

docs/cloud.md

@@ -3,17 +3,17 @@ Cloud providers
 
 #### Provisioning
 
-You can use kargo-cli to start new instances on cloud providers
+You can use kubespray-cli to start new instances on cloud providers
 here's an example
 ```
-kargo [aws|gce] --nodes 2 --etcd 3 --cluster-name test-smana
+kubespray [aws|gce] --nodes 2 --etcd 3 --cluster-name test-smana
 ```
 
 #### Deploy kubernetes
 
-With kargo-cli
+With kubespray-cli
 ```
-kargo deploy [--aws|--gce] -u admin
+kubespray deploy [--aws|--gce] -u admin
 ```
 
 Or ansible-playbook command

docs/coreos.md

@@ -1,10 +1,10 @@
 CoreOS bootstrap
 ===============
 
-Example with **kargo-cli**:
+Example with **kubespray-cli**:
 
 ```
-kargo deploy --gce --coreos
+kubespray deploy --gce --coreos
 ```
 
 Or with Ansible:

docs/getting-started.md

@@ -1,21 +1,21 @@
 Getting started
 ===============
 
-The easiest way to run the deployement is to use the **kargo-cli** tool.
-A complete documentation can be found in its [github repository](https://github.com/kubespray/kargo-cli).
+The easiest way to run the deployement is to use the **kubespray-cli** tool.
+A complete documentation can be found in its [github repository](https://github.com/kubespray/kubespray-cli).
 
 Here is a simple example on AWS:
 
 * Create instances and generate the inventory
 
 ```
-kargo aws --instances 3
+kubespray aws --instances 3
 ```
 
 * Run the deployment
 
 ```
-kargo deploy --aws -u centos -n calico
+kubespray deploy --aws -u centos -n calico
 ```
 
 Building your own inventory

docs/roadmap.md

@@ -8,7 +8,7 @@ That would probably improve deployment speed and certs management [#553](https:/
 ### Self deployment (pull-mode) [#320](https://github.com/kubespray/kubespray/issues/320)
 - the playbook would install and configure docker/rkt and the etcd cluster
 - the following data would be inserted into etcd: certs,tokens,users,inventory,group_vars.
-- a "kubespray" container would be deployed (kargo-cli, ansible-playbook, kpm)
+- a "kubespray" container would be deployed (kubespray-cli, ansible-playbook, kpm)
 - to be discussed, a way to provide the inventory
 - **self deployment** of the node from inside a container [#321](https://github.com/kubespray/kubespray/issues/321)
 
@@ -53,10 +53,10 @@ That would probably improve deployment speed and certs management [#553](https:/
 - (to be discussed) option to set a loadbalancer for the apiservers like ucarp/packemaker/keepalived
 While waiting for the issue [kubernetes/kubernetes#18174](https://github.com/kubernetes/kubernetes/issues/18174) to be fixed.
 
-### Kargo-cli
+### Kubespray-cli
 - Delete instances
-- `kargo vagrant` to setup a test cluster locally
-- `kargo azure` for Microsoft Azure support
+- `kubespray vagrant` to setup a test cluster locally
+- `kubespray azure` for Microsoft Azure support
 - switch to Terraform instead of Ansible for provisionning
 - update $HOME/.kube/config when a cluster is deployed. Optionally switch to this context