166 lines
6.1 KiB
YAML
166 lines
6.1 KiB
YAML
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# Valid bootstrap options (required): ubuntu, coreos, none
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bootstrap_os: none
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# Directory where the binaries will be installed
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bin_dir: /usr/local/bin
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# Where the binaries will be downloaded.
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# Note: ensure that you've enough disk space (about 1G)
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local_release_dir: "/tmp/releases"
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# Random shifts for retrying failed ops like pushing/downloading
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retry_stagger: 5
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# Uncomment this line for CoreOS only.
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# Directory where python binary is installed
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# ansible_python_interpreter: "/opt/bin/python"
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# This is the group that the cert creation scripts chgrp the
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# cert files to. Not really changable...
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kube_cert_group: kube-cert
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# Cluster Loglevel configuration
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kube_log_level: 2
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# Users to create for basic auth in Kubernetes API via HTTP
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kube_api_pwd: "changeme"
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kube_users:
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kube:
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pass: "{{kube_api_pwd}}"
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role: admin
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root:
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pass: "changeme"
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role: admin
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# Kubernetes cluster name, also will be used as DNS domain
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cluster_name: cluster.local
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# Subdomains of DNS domain to be resolved via /etc/resolv.conf
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ndots: 5
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# Deploy netchecker app to verify DNS resolve as an HTTP service
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deploy_netchecker: false
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# For some environments, each node has a pubilcally accessible
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# address and an address it should bind services to. These are
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# really inventory level variables, but described here for consistency.
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#
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# When advertising access, the access_ip will be used, but will defer to
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# ip and then the default ansible ip when unspecified.
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#
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# When binding to restrict access, the ip variable will be used, but will
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# defer to the default ansible ip when unspecified.
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#
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# The ip variable is used for specific address binding, e.g. listen address
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# for etcd. This is use to help with environments like Vagrant or multi-nic
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# systems where one address should be preferred over another.
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# ip: 10.2.2.2
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#
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# The access_ip variable is used to define how other nodes should access
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# the node. This is used in flannel to allow other flannel nodes to see
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# this node for example. The access_ip is really useful AWS and Google
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# environments where the nodes are accessed remotely by the "public" ip,
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# but don't know about that address themselves.
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# access_ip: 1.1.1.1
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# Etcd access modes:
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# Enable multiaccess to configure clients to access all of the etcd members directly
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# as the "http://hostX:port, http://hostY:port, ..." and ignore the proxy loadbalancers.
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# This may be the case if clients support and loadbalance multiple etcd servers natively.
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etcd_multiaccess: true
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# Assume there are no internal loadbalancers for apiservers exist and listen on
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# kube_apiserver_port (default 443)
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loadbalancer_apiserver_localhost: true
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# Choose network plugin (calico, weave or flannel)
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kube_network_plugin: flannel
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# Kubernetes internal network for services, unused block of space.
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kube_service_addresses: 10.233.0.0/18
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# internal network. When used, it will assign IP
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# addresses from this range to individual pods.
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# This network must be unused in your network infrastructure!
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kube_pods_subnet: 10.233.64.0/18
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# internal network total size (optional). This is the prefix of the
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# entire network. Must be unused in your environment.
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# kube_network_prefix: 18
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# internal network node size allocation (optional). This is the size allocated
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# to each node on your network. With these defaults you should have
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# room for 4096 nodes with 254 pods per node.
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kube_network_node_prefix: 24
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# With calico it is possible to distributed routes with border routers of the datacenter.
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peer_with_router: false
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# Warning : enabling router peering will disable calico's default behavior ('node mesh').
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# The subnets of each nodes will be distributed by the datacenter router
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# The port the API Server will be listening on.
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kube_apiserver_ip: "{{ kube_service_addresses|ipaddr('net')|ipaddr(1)|ipaddr('address') }}"
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kube_apiserver_port: 443 # (https)
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kube_apiserver_insecure_port: 8080 # (http)
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# Internal DNS configuration.
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# Kubernetes can create and mainatain its own DNS server to resolve service names
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# into appropriate IP addresses. It's highly advisable to run such DNS server,
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# as it greatly simplifies configuration of your applications - you can use
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# service names instead of magic environment variables.
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# You still must manually configure all your containers to use this DNS server,
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# Kubernetes won't do this for you (yet).
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# Do not install additional dnsmasq
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skip_dnsmasq: false
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# Upstream dns servers used by dnsmasq
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#upstream_dns_servers:
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# - 8.8.8.8
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# - 8.8.4.4
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#
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# # Use dns server : https://github.com/ansibl8s/k8s-skydns/blob/master/skydns-README.md
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dns_setup: true
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dns_domain: "{{ cluster_name }}"
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#
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# # Ip address of the kubernetes skydns service
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skydns_server: "{{ kube_service_addresses|ipaddr('net')|ipaddr(3)|ipaddr('address') }}"
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dns_server: "{{ kube_service_addresses|ipaddr('net')|ipaddr(2)|ipaddr('address') }}"
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# There are some changes specific to the cloud providers
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# for instance we need to encapsulate packets with some network plugins
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# If set the possible values are either 'gce', 'aws', 'azure' or 'openstack'
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# When openstack is used make sure to source in the openstack credentials
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# like you would do when using nova-client before starting the playbook.
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# When azure is used, you need to also set the following variables.
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# cloud_provider:
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# see docs/azure.md for details on how to get these values
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#azure_tenant_id:
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#azure_subscription_id:
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#azure_aad_client_id:
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#azure_aad_client_secret:
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#azure_resource_group:
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#azure_location:
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#azure_subnet_name:
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#azure_security_group_name:
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#azure_vnet_name:
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## Set these proxy values in order to update docker daemon to use proxies
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# http_proxy: ""
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# https_proxy: ""
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# no_proxy: ""
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# Path used to store Docker data
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docker_daemon_graph: "/var/lib/docker"
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## A string of extra options to pass to the docker daemon.
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## This string should be exactly as you wish it to appear.
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## An obvious use case is allowing insecure-registry access
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## to self hosted registries like so:
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docker_options: "--insecure-registry={{ kube_service_addresses }} --graph={{ docker_daemon_graph }}"
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# K8s image pull policy (imagePullPolicy)
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k8s_image_pull_policy: IfNotPresent
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# default packages to install within the cluster
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kpm_packages: []
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# - name: kube-system/grafana
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