Google Cloud Platform Guide¶
Introduction¶
Note
This section of the documentation is under construction. We are in the process of adding more examples about all of the GCE modules and how they work together. Upgrades via github pull requests are welcomed!
Ansible contains modules for managing Google Compute Engine resources, including creating instances, controlling network access, working with persistent disks, and managing load balancers. Additionally, there is an inventory plugin that can automatically suck down all of your GCE instances into Ansible dynamic inventory, and create groups by tag and other properties.
The GCE modules all require the apache-libcloud module, which you can install from pip:
$ pip install apache-libcloud
Note
If you’re using Ansible on Mac OS X, libcloud also needs to access a CA cert chain. You’ll need to download one (you can get one for here.)
Credentials¶
To work with the GCE modules, you’ll first need to get some credentials. You can create new one from the console by going to the “APIs and Auth” section and choosing to create a new client ID for a service account. Once you’ve created a new client ID and downloaded (you must click Generate new P12 Key) the generated private key (in the pkcs12 format), you’ll need to convert the key by running the following command:
$ openssl pkcs12 -in pkey.pkcs12 -passin pass:notasecret -nodes -nocerts | openssl rsa -out pkey.pem
There are two different ways to provide credentials to Ansible so that it can talk with Google Cloud for provisioning and configuration actions:
- by providing to the modules directly
- by populating a
secrets.py
file
Calling Modules By Passing Credentials¶
For the GCE modules you can specify the credentials as arguments:
service_account_email
: email associated with the projectpem_file
: path to the pem fileproject_id
: id of the project
For example, to create a new instance using the cloud module, you can use the following configuration:
- name: Create instance(s)
hosts: localhost
connection: local
gather_facts: no
vars:
service_account_email: unique-id@developer.gserviceaccount.com
pem_file: /path/to/project.pem
project_id: project-id
machine_type: n1-standard-1
image: debian-7
tasks:
- name: Launch instances
gce:
instance_names: dev
machine_type: "{{ machine_type }}"
image: "{{ image }}"
service_account_email: "{{ service_account_email }}"
pem_file: "{{ pem_file }}"
project_id: "{{ project_id }}"
Calling Modules with secrets.py¶
Create a file secrets.py
looking like following, and put it in some folder which is in your $PYTHONPATH
:
GCE_PARAMS = ('i...@project.googleusercontent.com', '/path/to/project.pem')
GCE_KEYWORD_PARAMS = {'project': 'project_id'}
Ensure to enter the email address from the created services account and not the one from your main account.
Now the modules can be used as above, but the account information can be omitted.
GCE Dynamic Inventory¶
The best way to interact with your hosts is to use the gce inventory plugin, which dynamically queries GCE and tells Ansible what nodes can be managed.
Note that when using the inventory script gce.py
, you also need to populate the gce.ini
file that you can find in the contrib/inventory directory of the ansible checkout.
To use the GCE dynamic inventory script, copy gce.py
from contrib/inventory
into your inventory directory and make it executable. You can specify credentials for gce.py
using the GCE_INI_PATH
environment variable – the default is to look for gce.ini in the same directory as the inventory script.
Let’s see if inventory is working:
$ ./gce.py --list
You should see output describing the hosts you have, if any, running in Google Compute Engine.
Now let’s see if we can use the inventory script to talk to Google.
$ GCE_INI_PATH=~/.gce.ini ansible all -i gce.py -m setup
hostname | success >> {
"ansible_facts": {
"ansible_all_ipv4_addresses": [
"x.x.x.x"
],
As with all dynamic inventory scripts in Ansible, you can configure the inventory path in ansible.cfg. The recommended way to use the inventory is to create an inventory
directory, and place both the gce.py
script and a file containing localhost
in it. This can allow for cloud inventory to be used alongside local inventory (such as a physical datacenter) or machines running in different providers.
Executing ansible
or ansible-playbook
and specifying the inventory
directory instead of an individual file will cause ansible to evaluate each file in that directory for inventory.
Let’s once again use our inventory script to see if it can talk to Google Cloud:
$ ansible all -i inventory/ -m setup
hostname | success >> {
"ansible_facts": {
"ansible_all_ipv4_addresses": [
"x.x.x.x"
],
The output should be similar to the previous command. If you’re wanting less output and just want to check for SSH connectivity, use “-m” ping instead.
Use Cases¶
For the following use case, let’s use this small shell script as a wrapper.
#!/usr/bin/env bash
PLAYBOOK="$1"
if [[ -z $PLAYBOOK ]]; then
echo "You need to pass a playbook as argument to this script."
exit 1
fi
export SSL_CERT_FILE=$(pwd)/cacert.cer
export ANSIBLE_HOST_KEY_CHECKING=False
if [[ ! -f "$SSL_CERT_FILE" ]]; then
curl -O http://curl.haxx.se/ca/cacert.pem
fi
ansible-playbook -v -i inventory/ "$PLAYBOOK"
Create an instance¶
The GCE module provides the ability to provision instances within Google Compute Engine. The provisioning task is typically performed from your Ansible control server against Google Cloud’s API.
A playbook would looks like this:
- name: Create instance(s)
hosts: localhost
gather_facts: no
connection: local
vars:
machine_type: n1-standard-1 # default
image: debian-7
service_account_email: unique-id@developer.gserviceaccount.com
pem_file: /path/to/project.pem
project_id: project-id
tasks:
- name: Launch instances
gce:
instance_names: dev
machine_type: "{{ machine_type }}"
image: "{{ image }}"
service_account_email: "{{ service_account_email }}"
pem_file: "{{ pem_file }}"
project_id: "{{ project_id }}"
tags: webserver
register: gce
- name: Wait for SSH to come up
wait_for: host={{ item.public_ip }} port=22 delay=10 timeout=60
with_items: gce.instance_data
- name: Add host to groupname
add_host: hostname={{ item.public_ip }} groupname=new_instances
with_items: gce.instance_data
- name: Manage new instances
hosts: new_instances
connection: ssh
sudo: True
roles:
- base_configuration
- production_server
Note that use of the “add_host” module above creates a temporary, in-memory group. This means that a play in the same playbook can then manage machines in the ‘new_instances’ group, if so desired. Any sort of arbitrary configuration is possible at this point.
Configuring instances in a group¶
All of the created instances in GCE are grouped by tag. Since this is a cloud, it’s probably best to ignore hostnames and just focus on group management.
Normally we’d also use roles here, but the following example is a simple one. Here we will also use the “gce_net” module to open up access to port 80 on these nodes.
The variables in the ‘vars’ section could also be kept in a ‘vars_files’ file or something encrypted with Ansible-vault, if you so choose. This is just a basic example of what is possible:
- name: Setup web servers
hosts: tag_webserver
gather_facts: no
vars:
machine_type: n1-standard-1 # default
image: debian-7
service_account_email: unique-id@developer.gserviceaccount.com
pem_file: /path/to/project.pem
project_id: project-id
roles:
- name: Install lighttpd
apt: pkg=lighttpd state=installed
sudo: True
- name: Allow HTTP
local_action: gce_net
args:
fwname: "all-http"
name: "default"
allowed: "tcp:80"
state: "present"
service_account_email: "{{ service_account_email }}"
pem_file: "{{ pem_file }}"
project_id: "{{ project_id }}"
By pointing your browser to the IP of the server, you should see a page welcoming you.
Upgrades to this documentation are welcome, hit the github link at the top right of this page if you would like to make additions!