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Aeolus Configure |
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Aeolus Configure |
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If you are looking for Aeolus configuration instructions, this page should get you started.
Configure is a high level, parameterized utility for installing and configuring various Aeolus components.
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Provide a high level interface for system administrators and developers, to install and configure various Aeolus components in a multi-machine environment, including:
- Deltacloud core
- Conductor
- Image Builder
- Database (PostgreSQL)
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Provide a high level interface to initialize and import cloud data for use in Aeolus, including:
- Cloud Providers
- Cloud Provider Accounts
- Existing and/or to-be-built templates, images, and deployments
- Instances
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Provide simple command line utilities wrapping this interface to allow system administrators to select which components to install, where to install them, and configure data to be present on installation.
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Take care of all of the low level details of setting up the various Aeolus components, including but not limited to setting up the platform needed to run Aeolus, configure the communication mechanisms between components, verifying security and other policies are in place to allow component operation, and printing any error or warning messages and gracefully terminating if anything fails.
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Provide a single simplified command to install and completely configure Aeolus from scratch including but not limited to:
- setting up the correct repositories
- installing the aeolus components
- configuring and running the necessary services
- Prompting the user for cloud account credentials, instance details, and other seed data
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Make all this functionality available via Puppet so as to accurately represent aeolus dependencies on a multi-machine aeolus install and to be able to be pulled into existing puppet deployments.
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Bob the developer has checked out all the aeolus components from the source git, has built and installed all the rpms, and simply wants a way to setup a default aeolus configuration. He runs aeolus-configure which makes sure the correct components are inplace, sets up the default config and he's good to go
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Sally the sys admin has existing cobbler and puppetmaster servers running and wants to provision some additional machines to run the image builder. She imports the aeolus module into her puppet recipe and uses it to setup/install/configure iwhd and imagefactory. She then uses it to automatically create and deploy a few templates/images to be available upon installation right within her aeolus configuration recipe.
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Joe is a relatively new cloud user who has signed up for EC2 and Rackspace via their corresponding web sites. He wants to use the same tooling to deploy instances for both but wants to do so in the most simple fashion. He installs aeolus-configure via 'rpm -ivh http://' and runs aeolus-install. This prompts him for his cloud credentials and then proceeds to setup the yum repositories, install the packages, and configure all aeolus components locally, automatically setting up the specified providers, and importing templates/images data. He can then login to the conductor ui and with one or two clicks, launch instances.
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Janet has a few machines locally which she wants to use to run various aeolus components that are able to work with local existing security services and with an image builder and factory already setup in the cloud. She creates a puppet recipe on her local configuration server, pulling in aeolus-configure and creates profiles for her various machines w/ whatever aeolus subcomponents are to be installed on them. Upon installation, the aeolus recipe uses the ip address of each machine each that component is installed on to configure the communication channels
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Michael wants to creating tooling around the aeolus api but is not sure the exact environment which his tooling will be deployed on or where in the world it will be deployed to. He uses aeolus-configure to install and configure in various environments, allowing him to parameterize package sources and installation, security configuration (or lack thereof), which seed data gets automatically created, documenation that gets installed, etc
The Aeolus configure project ships with:
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A few puppet modules:
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Aeolus configuration module defining classes and functions to setup the aeolus components and seed data
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Apache (httpd) config module
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NTP config module
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OpenSSL / security config module
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PostgreSQL config module
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These can be pulled into an puppet recipe running anywhere (either locally via the puppet command or on a puppetmasterd server) to configure aeolus in any number of ways on any number of machines
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Aeolus configure/cleanup puppet manifests
- These use the various modules to completely setup/remove aeolus on a local machine. These include the classes defining all the necessary aeolus subcomponents, and invoke the aeolus configuration methods to define providers, templates, and other data to be available immediately on startup
- These can be run locally via the 'puppet' cmd or via a puppetmaster to install aeolus on any given single machine
- These can be used as the basis for other scripts to setup/configure aeolus in any number of environments including those with a provisioned cluster, those in a environment requiring fewer aeolus subcomponents, those in environments w/ packaging/security/other restrictions, etc
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Binaries / scripts
- These are simply wrappers around the 'puppet' command, setting up the correct module path and loading the aeolus configure/cleanup puppet manifests to provide a simple means to install aeolus locally
The aeolus-configure rpm ships with all these components. It is currently pulled into aeolus-conductor as a runtime dependency with the other aeolus components, having the drawback that this does not allow for the seperate multi-machine installation of the aeolus components
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Must provide a means to configure/cleanup all the Aeolus components and dependencies on a single machine, including:
- Conductor, core, Image Builder, PostgreSQL, libvirt, mongodb
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Must provide a means which to configure/cleanup all the aforementioned components on multiple machines, ensuring communication and interoperability between them
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Must provide a means which to initialize aeolus seed data
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Must provide a parameterized interface through which to specify the seed data that is initialized
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Must provide a means which to install/remove aeolus components, specifying alternative sources to retrieve from (yum and git repositories, local fs)
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Must provide a means which to toggle various optional aeolus features
- Package installation and removal, package sources
- Security features (for export restrictions)
- Logging levels / destinations
- Which components are configured (for the command line binaries)
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Must make all functionality available via command line utilities and a puppetmaster server
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Provide a fully functional test suite and complete documentation
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The aeolus modules are close to supporting a multi-machine install as they are. Some tweaking will be needed around component communication, and we may want to ship additional component-specific configure/cleanup manifests.
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Flags should to the command line binaries to specify which components are to be configured/cleaned up as well as toggling security features and log levels.
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Additional functions for seed data initialization need to be created including those for templates, images, provider accounts, and instances.
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A seperate command line utility should be built to prompt the user for aeolus configuration including providers account credentials, template packages, hwp information, etc. The result of this should be a yaml file which can be loaded into the aeolus recipe to autocreate those entities.
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Seed data creation needs to be made more robust, return codes and status should be parsed out of the conductor http response and analyzed to determine operation status.
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ProviderType should be parameterized to allow yum / git providers, and the recipe should provide the means which to install these repositories in a manner which the components can be installed from.
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Greatly expand aeolus configure test suite and documentation, setup a builtin test harnass, for local automated e2e testing in a vm.