Being designed for multi-tier deployments since the beginning, Ansible is great at doing things on one host on behalf of another, or doing local steps with reference to some remote hosts.
This in particular is very applicable when setting up continuous deployment infrastructure or zero downtime rolling updates, where you might be talking with load balancers or monitoring systems.
Additional features allow for tuning the orders in which things complete, and assigning a batch window size for how many machines to process at once during a rolling update.
This section covers all of these features. For examples of these items in use, `please see the ansible-examples repository <https://github.com/ansible/ansible-examples/>`_. There are quite a few examples of zero-downtime update procedures for different kinds of applications.
You should also consult the :doc:`modules` section, various modules like 'ec2_elb', 'nagios', and 'bigip_pool', and 'netscaler' dovetail neatly with the concepts mentioned here.
You'll also want to read up on :doc:`playbooks_reuse_roles`, as the 'pre_task' and 'post_task' concepts are the places where you would typically call these modules.
By default, Ansible will try to manage all of the machines referenced in a play in parallel. For a rolling update use case, you can define how many hosts Ansible should manage at a single time by using the ``serial`` keyword::
By default, Ansible will continue executing actions as long as there are hosts in the batch that have not yet failed. The batch size for a play is determined by the ``serial`` parameter. If ``serial`` is not set, then batch size is all the hosts specified in the ``hosts:`` field.
These commands will run on 127.0.0.1, which is the machine running Ansible. There is also a shorthand syntax that you can use on a per-task basis: 'local_action'. Here is the same playbook as above, but using the shorthand syntax for delegating to 127.0.0.1::
By default, any fact gathered by a delegated task are assigned to the `inventory_hostname` (the current host) instead of the host which actually produced the facts (the delegated to host).
This way you can lookup `hostvars['dbhost1']['ansible_default_ipv4']['address']` even though dbservers were not part of the play, or left out by using `--limit`.
This directive forces the task to attempt execution on the first host in the current batch and then applies all results and facts to all the hosts in the same batch.
This approach is similar to applying a conditional to a task such as::
With the ''any_errors_fatal'' option, any failure on any host in a multi-host play will be treated as fatal and Ansible will exit immediately without waiting for the other hosts.
Sometimes ''serial'' execution is unsuitable; the number of hosts is unpredictable (because of dynamic inventory) and speed is crucial (simultaneous execution is required), but all tasks must be 100% successful to continue playbook execution.
For example, consider a service located in many datacenters with some load balancers to pass traffic from users to the service. There is a deploy playbook to upgrade service deb-packages. The playbook has the stages:
The service can't be stopped with "alive" load balancers; they must be disabled first. Because of this, the second stage can't be played if any server failed in the first stage.
