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For more detail, see the doc migration spec. http://specs.openstack.org/openstack/docs-specs/specs/pike/os-manuals-migration.html Co-Authored-By: Eduardo Gonzalez <dabarren@gmail.com> Change-Id: I3a7c0ed204ee1e9060b5325f20622afe9a5e3040
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3.9 KiB
ReStructuredText
77 lines
3.9 KiB
ReStructuredText
.. _deployment-philosophy:
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=============================
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Kolla's Deployment Philosophy
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=============================
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Overview
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========
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Kolla has an objective to replace the inflexible, painful, resource-intensive
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deployment process of OpenStack with a flexible, painless, inexpensive
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deployment process. Often to deploy OpenStack at the 100+ nodes scale, small
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businesses may require building a team of OpenStack professionals to
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maintain and manage the OpenStack deployment. Finding people experienced in
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OpenStack deployment is very difficult and expensive, resulting in a big
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barrier for OpenStack adoption. Kolla seeks to remedy this set of problems by
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simplifying the deployment process while enabling flexible deployment models.
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Kolla is a highly opinionated deployment tool out of the box. This permits
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Kolla to be deployable with the simple configuration of three key/value pairs.
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As an operator's experience with OpenStack grows and the desire to customize
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OpenStack services increases, Kolla offers full capability to override every
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OpenStack service configuration option in the deployment.
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Why not Template Customization?
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===============================
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The Kolla upstream community does not want to place key/value pairs in the
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Ansible playbook configuration options that are not essential to obtaining
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a functional deployment. If the Kolla upstream starts down the path of
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templating configuration options, the Ansible configuration could conceivably
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grow to hundreds of configuration key/value pairs which is unmanageable.
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Further, as new versions of Kolla are released, there would be independent
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customization available for different versions creating an unsupportable and
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difficult to document environment. Finally, adding key/value pairs for
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configuration options creates a situation in which development and release
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cycles are required in order to successfully add new customizations.
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Essentially templating in configuration options is not a scalable solution
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and would result in an inability of the project to execute its mission.
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Kolla's Solution to Customization
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=================================
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Rather than deal with the customization madness of templating configuration
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options in Kolla's Ansible playbooks, Kolla eliminates all the inefficiencies
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of existing deployment tools through a simple, tidy design: custom
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configuration sections.
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During deployment of an OpenStack service, a basic set of default configuration
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options are merged with and overridden by custom ini configuration sections.
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Kolla deployment customization is that simple! This does create a situation
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in which the Operator must reference the upstream documentation if a
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customization is desired in the OpenStack deployment. Fortunately the
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configuration options documentation is extremely mature and well-formulated.
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As an example, consider running Kolla in a virtual machine. In order to
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launch virtual machines from Nova in a virtual environment, it is necessary
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to use the QEMU hypervisor, rather than the KVM hypervisor. To achieve this
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result, simply `mkdir -p /etc/kolla/config` and modify the file
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`/etc/kolla/config/nova.conf` with the contents::
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[libvirt]
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virt_type=qemu
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After this change Kolla will use an emulated hypervisor with lower performance.
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Kolla could have templated this commonly modified configuration option. If
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Kolla starts down this path, the Kolla project could end with hundreds of
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config options all of which would have to be subjectively evaluated for
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inclusion or exclusion in the source tree.
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Kolla's approach yields a solution which enables complete customization without
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any upstream maintenance burden. Operators don't have to rely on a subjective
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approval process for configuration options nor rely on a
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development/test/release cycle to obtain a desired customization. Instead
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operators have ultimate freedom to make desired deployment choices immediately
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without the approval of a third party.
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