Fixed conflicts, ipip:true as defualt and added ipip_mode

docs/calico.md

@@ -96,7 +96,7 @@ You need to edit your inventory and add:
 * `cluster_id` by route reflector node/group (see details
 [here](https://hub.docker.com/r/calico/routereflector/))
 
-Here's an example of Kargo inventory with route reflectors:
+Here's an example of Kubespray inventory with route reflectors:
 
 ```
 [all]
@@ -145,11 +145,11 @@ cluster_id="1.0.0.1"
 The inventory above will deploy the following topology assuming that calico's
 `global_as_num` is set to `65400`:
 
-![Image](figures/kargo-calico-rr.png?raw=true)
+![Image](figures/kubespray-calico-rr.png?raw=true)
 
 ##### Optional : Define default endpoint to host action
 
-By default Calico blocks traffic from endpoints to the host itself by using an iptables DROP action. When using it in kubernetes the action has to be changed to RETURN (default in kargo) or ACCEPT (see https://github.com/projectcalico/felix/issues/660 and https://github.com/projectcalico/calicoctl/issues/1389). Otherwise all network packets from pods (with hostNetwork=False) to services endpoints (with hostNetwork=True) withing the same node are dropped.
+By default Calico blocks traffic from endpoints to the host itself by using an iptables DROP action. When using it in kubernetes the action has to be changed to RETURN (default in kubespray) or ACCEPT (see https://github.com/projectcalico/felix/issues/660 and https://github.com/projectcalico/calicoctl/issues/1389). Otherwise all network packets from pods (with hostNetwork=False) to services endpoints (with hostNetwork=True) withing the same node are dropped.
 
 
 To re-define default action please set the following variable in your inventory:

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/comparisons.md

-Kargo vs [Kops](https://github.com/kubernetes/kops)
+Kubespray vs [Kops](https://github.com/kubernetes/kops)
 ---------------
 
-Kargo runs on bare metal and most clouds, using Ansible as its substrate for
+Kubespray runs on bare metal and most clouds, using Ansible as its substrate for
 provisioning and orchestration. Kops performs the provisioning and orchestration
 itself, and as such is less flexible in deployment platforms. For people with
 familiarity with Ansible, existing Ansible deployments or the desire to run a
-Kubernetes cluster across multiple platforms, Kargo is a good choice. Kops,
+Kubernetes cluster across multiple platforms, Kubespray is a good choice. Kops,
 however, is more tightly integrated with the unique features of the clouds it
 supports so it could be a better choice if you know that you will only be using
 one platform for the foreseeable future.
 
-Kargo vs [Kubeadm](https://github.com/kubernetes/kubeadm)
+Kubespray vs [Kubeadm](https://github.com/kubernetes/kubeadm)
 ------------------
 
 Kubeadm provides domain Knowledge of Kubernetes clusters' life cycle
 management, including self-hosted layouts, dynamic discovery services and so
 on. Had it belong to the new [operators world](https://coreos.com/blog/introducing-operators.html),
-it would've likely been named a "Kubernetes cluster operator". Kargo however,
+it would've likely been named a "Kubernetes cluster operator". Kubespray however,
 does generic configuration management tasks from the "OS operators" ansible
 world, plus some initial K8s clustering (with networking plugins included) and
-control plane bootstrapping. Kargo [strives](https://github.com/kubernetes-incubator/kargo/issues/553)
+control plane bootstrapping. Kubespray [strives](https://github.com/kubernetes-incubator/kubespray/issues/553)
 to adopt kubeadm as a tool in order to consume life cycle management domain
 knowledge from it and offload generic OS configuration things from it, which
 hopefully benefits both sides.

docs/coreos.md

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

docs/dns-stack.md

-K8s DNS stack by Kargo
+K8s DNS stack by Kubespray
 ======================
 
-For K8s cluster nodes, kargo configures a [Kubernetes DNS](http://kubernetes.io/docs/admin/dns/)
+For K8s cluster nodes, Kubespray configures a [Kubernetes DNS](http://kubernetes.io/docs/admin/dns/)
 [cluster add-on](http://releases.k8s.io/master/cluster/addons/README.md)
 to serve as an authoritative DNS server for a given ``dns_domain`` and its
 ``svc, default.svc`` default subdomains (a total of ``ndots: 5`` max levels).
@@ -44,13 +44,13 @@ DNS servers to be added *after* the cluster DNS. Used by all ``resolvconf_mode``
 DNS servers in early cluster deployment when no cluster DNS is available yet. These are also added as upstream
 DNS servers used by ``dnsmasq`` (when deployed with ``dns_mode: dnsmasq_kubedns``).
 
-DNS modes supported by kargo
+DNS modes supported by Kubespray
 ============================
 
-You can modify how kargo sets up DNS for your cluster with the variables ``dns_mode`` and ``resolvconf_mode``.
+You can modify how Kubespray sets up DNS for your cluster with the variables ``dns_mode`` and ``resolvconf_mode``.
 
 ## dns_mode
-``dns_mode`` configures how kargo will setup cluster DNS. There are three modes available:
+``dns_mode`` configures how Kubespray will setup cluster DNS. There are three modes available:
 
 #### dnsmasq_kubedns (default)
 This installs an additional dnsmasq DaemonSet which gives more flexibility and lifts some
@@ -67,7 +67,7 @@ This does not install any of dnsmasq and kubedns/skydns. This basically disables
 leaves you with a non functional cluster.
 
 ## resolvconf_mode
-``resolvconf_mode`` configures how kargo will setup DNS for ``hostNetwork: true`` PODs and non-k8s containers.
+``resolvconf_mode`` configures how Kubespray will setup DNS for ``hostNetwork: true`` PODs and non-k8s containers.
 There are three modes available:
 
 #### docker_dns (default)
@@ -100,7 +100,7 @@ used as a backup nameserver. After cluster DNS is running, all queries will be a
 servers, which in turn will forward queries to the system nameserver if required.
 
 #### host_resolvconf
-This activates the classic kargo behaviour that modifies the hosts ``/etc/resolv.conf`` file and dhclient
+This activates the classic Kubespray behaviour that modifies the hosts ``/etc/resolv.conf`` file and dhclient
 configuration to point to the cluster dns server (either dnsmasq or kubedns, depending on dns_mode).
 
 As cluster DNS is not available on early deployment stage, this mode is split into 2 stages. In the first
@@ -120,7 +120,7 @@ cluster service names.
 Limitations
 -----------
 
-* Kargo has yet ways to configure Kubedns addon to forward requests SkyDns can
+* Kubespray has yet ways to configure Kubedns addon to forward requests SkyDns can
   not answer with authority to arbitrary recursive resolvers. This task is left
   for future. See [official SkyDns docs](https://github.com/skynetservices/skydns)
   for details.

docs/downloads.md

 Downloading binaries and containers
 ===================================
 
-Kargo supports several download/upload modes. The default is:
+Kubespray supports several download/upload modes. The default is:
 
 * Each node downloads binaries and container images on its own, which is
   ``download_run_once: False``.

docs/getting-started.md

 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
@@ -23,12 +23,12 @@ Building your own inventory
 
 Ansible inventory can be stored in 3 formats: YAML, JSON, or INI-like. There is
 an example inventory located
-[here](https://github.com/kubernetes-incubator/kargo/blob/master/inventory/inventory.example).
+[here](https://github.com/kubernetes-incubator/kubespray/blob/master/inventory/inventory.example).
 
 You can use an
-[inventory generator](https://github.com/kubernetes-incubator/kargo/blob/master/contrib/inventory_builder/inventory.py)
+[inventory generator](https://github.com/kubernetes-incubator/kubespray/blob/master/contrib/inventory_builder/inventory.py)
 to create or modify an Ansible inventory. Currently, it is limited in
-functionality and is only use for making a basic Kargo cluster, but it does
+functionality and is only use for making a basic Kubespray cluster, but it does
 support creating large clusters. It now supports
 separated ETCD and Kubernetes master roles from node role if the size exceeds a
 certain threshold. Run inventory.py help for more information.

docs/ha-mode.md

@@ -22,7 +22,7 @@ Kube-apiserver
 --------------
 
 K8s components require a loadbalancer to access the apiservers via a reverse
-proxy. Kargo includes support for an nginx-based proxy that resides on each
+proxy. Kubespray includes support for an nginx-based proxy that resides on each
 non-master Kubernetes node. This is referred to as localhost loadbalancing. It
 is less efficient than a dedicated load balancer because it creates extra
 health checks on the Kubernetes apiserver, but is more practical for scenarios
@@ -30,12 +30,12 @@ where an external LB or virtual IP management is inconvenient.  This option is
 configured by the variable `loadbalancer_apiserver_localhost` (defaults to `True`).
 You may also define the port the local internal loadbalancer users by changing,
 `nginx_kube_apiserver_port`.  This defaults to the value of `kube_apiserver_port`.
-It is also import to note that Kargo will only configure kubelet and kube-proxy
+It is also import to note that Kubespray will only configure kubelet and kube-proxy
 on non-master nodes to use the local internal loadbalancer.
 
 If you choose to NOT use the local internal loadbalancer, you will need to configure
 your own loadbalancer to achieve HA. Note that deploying a loadbalancer is up to
-a user and is not covered by ansible roles in Kargo. By default, it only configures
+a user and is not covered by ansible roles in Kubespray. By default, it only configures
 a non-HA endpoint, which points to the `access_ip` or IP address of the first server
 node in the `kube-master` group. It can also configure clients to use endpoints
 for a given loadbalancer type. The following diagram shows how traffic to the

docs/netcheck.md

 Network Checker Application
 ===========================
 
-With the ``deploy_netchecker`` var enabled (defaults to false), Kargo deploys a
+With the ``deploy_netchecker`` var enabled (defaults to false), Kubespray deploys a
 Network Checker Application from the 3rd side `l23network/k8s-netchecker` docker
 images. It consists of the server and agents trying to reach the server by usual
 for Kubernetes applications network connectivity meanings. Therefore, this
@@ -17,7 +17,7 @@ any of the cluster nodes:
 ```
 curl http://localhost:31081/api/v1/connectivity_check
 ```
-Note that Kargo does not invoke the check but only deploys the application, if
+Note that Kubespray does not invoke the check but only deploys the application, if
 requested.
 
 There are related application specifc variables:

docs/roadmap.md

-Kargo's roadmap
+Kubespray's roadmap
 =================
 
 ### Kubeadm
 - Propose kubeadm as an option in order to setup the kubernetes cluster.
-That would probably improve deployment speed and certs management [#553](https://github.com/kubespray/kargo/issues/553)
+That would probably improve deployment speed and certs management [#553](https://github.com/kubespray/kubespray/issues/553)
 
-### Self deployment (pull-mode) [#320](https://github.com/kubespray/kargo/issues/320)
+### 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/kargo/issues/321)
+- **self deployment** of the node from inside a container [#321](https://github.com/kubespray/kubespray/issues/321)
 
 ### Provisionning and cloud providers
 - [ ] Terraform to provision instances on **GCE, AWS, Openstack, Digital Ocean, Azure**
 - [ ] On AWS autoscaling, multi AZ
-- [ ] On Azure autoscaling, create loadbalancer [#297](https://github.com/kubespray/kargo/issues/297)
-- [ ] On GCE be able to create a loadbalancer automatically (IAM ?) [#280](https://github.com/kubespray/kargo/issues/280)
-- [x] **TLS boostrap** support for kubelet [#234](https://github.com/kubespray/kargo/issues/234)
+- [ ] On Azure autoscaling, create loadbalancer [#297](https://github.com/kubespray/kubespray/issues/297)
+- [ ] On GCE be able to create a loadbalancer automatically (IAM ?) [#280](https://github.com/kubespray/kubespray/issues/280)
+- [x] **TLS boostrap** support for kubelet [#234](https://github.com/kubespray/kubespray/issues/234)
   (related issues: https://github.com/kubernetes/kubernetes/pull/20439 <br>
    https://github.com/kubernetes/kubernetes/issues/18112)
 
@@ -37,14 +37,14 @@ That would probably improve deployment speed and certs management [#553](https:/
 - [ ] test scale up cluster:  +1 etcd, +1 master, +1 node
 
 ### Lifecycle
-- [ ] Adopt the kubeadm tool by delegating CM tasks it is capable to accomplish well [#553](https://github.com/kubespray/kargo/issues/553)
-- [x] Drain worker node when upgrading k8s components in a worker node. [#154](https://github.com/kubespray/kargo/issues/154)
+- [ ] Adopt the kubeadm tool by delegating CM tasks it is capable to accomplish well [#553](https://github.com/kubespray/kubespray/issues/553)
+- [x] Drain worker node when upgrading k8s components in a worker node. [#154](https://github.com/kubespray/kubespray/issues/154)
 - [ ] Drain worker node when shutting down/deleting an instance
 - [ ] Upgrade granularity: select components to upgrade and skip others
 
 ### Networking
-- [ ] romana.io support [#160](https://github.com/kubespray/kargo/issues/160)
-- [ ] Configure network policy for Calico. [#159](https://github.com/kubespray/kargo/issues/159)
+- [ ] romana.io support [#160](https://github.com/kubespray/kubespray/issues/160)
+- [ ] Configure network policy for Calico. [#159](https://github.com/kubespray/kubespray/issues/159)
 - [ ] Opencontrail
 - [x] Canal
 - [x] Cloud Provider native networking (instead of our network plugins)
@@ -53,14 +53,14 @@ 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
 
-### Kargo API
+### Kubespray API
 - Perform all actions through an **API**
 - Store inventories / configurations of mulltiple clusters
 - make sure that state of cluster is completely saved in no more than one config file beyond hosts inventory
@@ -87,8 +87,8 @@ Include optionals deployments to init the cluster:
 ### Others
 - remove nodes  (adding is already supported)
 - being able to choose any k8s version (almost done)
-- **rkt** support [#59](https://github.com/kubespray/kargo/issues/59)
+- **rkt** support [#59](https://github.com/kubespray/kubespray/issues/59)
 - Review documentation (split in categories)
 - **consul** -> if officialy supported by k8s
-- flex volumes options (e.g. **torrus** support) [#312](https://github.com/kubespray/kargo/issues/312)
-- Clusters federation option (aka **ubernetes**) [#329](https://github.com/kubespray/kargo/issues/329)
+- flex volumes options (e.g. **torrus** support) [#312](https://github.com/kubespray/kubespray/issues/312)
+- Clusters federation option (aka **ubernetes**) [#329](https://github.com/kubespray/kubespray/issues/329)

docs/upgrades.md

-Upgrading Kubernetes in Kargo
+Upgrading Kubernetes in Kubespray
 =============================
 
 #### Description
 
-Kargo handles upgrades the same way it handles initial deployment. That is to
+Kubespray handles upgrades the same way it handles initial deployment. That is to
 say that each component is laid down in a fixed order. You should be able to
-upgrade from Kargo tag 2.0 up to the current master without difficulty. You can
+upgrade from Kubespray tag 2.0 up to the current master without difficulty. You can
 also individually control versions of components by explicitly defining their
 versions. Here are all version vars for each component:
 
@@ -35,7 +35,7 @@ ansible-playbook cluster.yml -i inventory/inventory.cfg -e kube_version=v1.4.6
 
 #### Graceful upgrade
 
-Kargo also supports cordon, drain and uncordoning of nodes when performing 
+Kubespray also supports cordon, drain and uncordoning of nodes when performing 
 a cluster upgrade. There is a separate playbook used for this purpose. It is
 important to note that upgrade-cluster.yml can only be used for upgrading an
 existing cluster. That means there must be at least 1 kube-master already

docs/vars.md

-Configurable Parameters in Kargo
+Configurable Parameters in Kubespray
 ================================
 
 #### Generic Ansible variables
@@ -12,7 +12,7 @@ Some variables of note include:
 * *ansible_default_ipv4.address*: IP address Ansible automatically chooses.
   Generated based on the output from the command ``ip -4 route get 8.8.8.8``
 
-#### Common vars that are used in Kargo
+#### Common vars that are used in Kubespray
 
 * *calico_version* - Specify version of Calico to use
 * *calico_cni_version* - Specify version of Calico CNI plugin to use
@@ -35,16 +35,16 @@ Some variables of note include:
 * *access_ip* - IP for other hosts to use to connect to. Often required when
   deploying from a cloud, such as OpenStack or GCE and you have separate
   public/floating and private IPs.
-* *ansible_default_ipv4.address* - Not Kargo-specific, but it is used if ip
+* *ansible_default_ipv4.address* - Not Kubespray-specific, but it is used if ip
   and access_ip are undefined
 * *loadbalancer_apiserver* - If defined, all hosts will connect to this
   address instead of localhost for kube-masters and kube-master[0] for
   kube-nodes. See more details in the
-  [HA guide](https://github.com/kubernetes-incubator/kargo/blob/master/docs/ha-mode.md).
+  [HA guide](https://github.com/kubernetes-incubator/kubespray/blob/master/docs/ha-mode.md).
 * *loadbalancer_apiserver_localhost* - makes all hosts to connect to
   the apiserver internally load balanced endpoint. Mutual exclusive to the
   `loadbalancer_apiserver`. See more details in the
-  [HA guide](https://github.com/kubernetes-incubator/kargo/blob/master/docs/ha-mode.md).
+  [HA guide](https://github.com/kubernetes-incubator/kubespray/blob/master/docs/ha-mode.md).
 
 #### Cluster variables
 
@@ -79,13 +79,13 @@ other settings from your existing /etc/resolv.conf are lost. Set the following
 variables to match your requirements.
 
 * *upstream_dns_servers* - Array of upstream DNS servers configured on host in
-  addition to Kargo deployed DNS
+  addition to Kubespray deployed DNS
 * *nameservers* - Array of DNS servers configured for use in dnsmasq
 * *searchdomains* - Array of up to 4 search domains
 * *skip_dnsmasq* - Don't set up dnsmasq (use only KubeDNS)
 
 For more information, see [DNS
-Stack](https://github.com/kubernetes-incubator/kargo/blob/master/docs/dns-stack.md).
+Stack](https://github.com/kubernetes-incubator/kubespray/blob/master/docs/dns-stack.md).
 
 #### Other service variables
 
@@ -114,5 +114,5 @@ The possible vars are:
 
 #### User accounts
 
-Kargo sets up two Kubernetes accounts by default: ``root`` and ``kube``. Their
+Kubespray sets up two Kubernetes accounts by default: ``root`` and ``kube``. Their
 passwords default to changeme. You can set this by changing ``kube_api_pwd``.

docs/vault.md

@@ -39,7 +39,7 @@ vault group.
 It is *highly* recommended that these secrets are removed from the servers after
 your cluster has been deployed, and kept in a safe location of your choosing.
 Naturally, the seriousness of the situation depends on what you're doing with
-your Kargo cluster, but with these secrets, an attacker will have the ability
+your Kubespray cluster, but with these secrets, an attacker will have the ability
 to authenticate to almost everything in Kubernetes and decode all private
 (HTTPS) traffic on your network signed by Vault certificates.
 

extra_playbooks/upgrade-only-k8s.yml

@@ -11,7 +11,7 @@
 - hosts: localhost
   gather_facts: False
   roles:
-    - { role: kargo-defaults}
+    - { role: kubespray-defaults}
     - { role: bastion-ssh-config, tags: ["localhost", "bastion"]}
 
 - hosts: k8s-cluster:etcd:calico-rr
@@ -22,7 +22,7 @@
     # fail. bootstrap-os fixes this on these systems, so in later plays it can be enabled.
     ansible_ssh_pipelining: false
   roles:
-    - { role: kargo-defaults}
+    - { role: kubespray-defaults}
     - { role: bootstrap-os, tags: bootstrap-os}
 
 - hosts: k8s-cluster:etcd:calico-rr
@@ -34,7 +34,7 @@
 - hosts: k8s-cluster:etcd:calico-rr
   any_errors_fatal: "{{ any_errors_fatal | default(true) }}"
   roles:
-    - { role: kargo-defaults}
+    - { role: kubespray-defaults}
     - { role: kubernetes/preinstall, tags: preinstall }
 
 #Handle upgrades to master components first to maintain backwards compat.
@@ -42,7 +42,7 @@
   any_errors_fatal: "{{ any_errors_fatal | default(true) }}"
   serial: 1
   roles:
-    - { role: kargo-defaults}
+    - { role: kubespray-defaults}
     - { role: upgrade/pre-upgrade, tags: pre-upgrade }
     - { role: kubernetes/node, tags: node }
     - { role: kubernetes/master, tags: master }
@@ -53,8 +53,8 @@
   any_errors_fatal: "{{ any_errors_fatal | default(true) }}"
   serial: "{{ serial | default('20%') }}"
   roles:
-    - { role: kargo-defaults}
+    - { role: kubespray-defaults}
     - { role: upgrade/pre-upgrade, tags: pre-upgrade }
     - { role: kubernetes/node, tags: node }
     - { role: upgrade/post-upgrade, tags: post-upgrade }
-    - { role: kargo-defaults}
+    - { role: kubespray-defaults}

inventory/group_vars/all.yml

@@ -83,6 +83,9 @@ bin_dir: /usr/local/bin
 ## Please note that overlay2 is only supported on newer kernels
 #docker_storage_options: -s overlay2
 
+# Uncomment this if you have more than 3 nameservers, then we'll only use the first 3.
+#docker_dns_servers_strict: false
+
 ## Default packages to install within the cluster, f.e:
 #kpm_packages:
 #  - name: kube-system/grafana

inventory/group_vars/k8s-cluster.yml

@@ -133,3 +133,8 @@ efk_enabled: false
 
 # Helm deployment
 helm_enabled: false
+
+# dnsmasq
+# dnsmasq_upstream_dns_servers:
+#  - /resolvethiszone.with/10.0.4.250
+#  - 8.8.8.8

library/kube.py

@@ -66,7 +66,7 @@ options:
     description:
       - present handles checking existence or creating if definition file provided,
         absent handles deleting resource(s) based on other options,
-        latest handles creating ore updating based on existence,
+        latest handles creating or updating based on existence,
         reloaded handles updating resource(s) definition using definition file,
         stopped handles stopping resource(s) based on other options.
 requirements:

reset.yml

@@ -14,5 +14,5 @@
       when: reset_confirmation != "yes"
 
   roles:
-    - { role: kargo-defaults}
+    - { role: kubespray-defaults}
     - { role: reset, tags: reset }

roles/bootstrap-os/defaults/main.yml

@@ -2,3 +2,4 @@
 pypy_version: 2.4.0
 pip_python_modules:
   - httplib2
+  - six
\ No newline at end of file