Phantom Autoscale API protocol¶
Phantom implements a subset of the AWS Auto Scaling service. It is an API that allows users to interact with a service which will monitor the health of VMs and preserve N VMs, or autoscale based on sensor attributes on various clouds.
Phantom Autoscale API¶
The AWS protocol on which the Phantom Autoscale API is based is well documented here. Understanding how the AWS service works is not necessary to understand the Phantom API; however, since the two services are wire protocol compatible, it is helpful to understand the subset of commands which have been implemented by the Phantom service:
CreateLaunchConfiguration. This API call allows a user to associate a VM image with an instance type (the number of CPUs, amount of memory, and network configuration) and a security key. It describes the details of every VM instance that will be launched in a group. An important difference between Phantom and the AWS protocol is the name given to a launch configuration.
With Phantom you must use the following naming convention: <launch configuration name>@<target cloud name>. The launch configuration name can be anything the user wishes, but it must be unique. The cloud name must be one of the site names which you have configured. The current options are: 1) hotel, 2) sierra, 3) foxtrot, 4) alamo, 5) ec2 (if you have set it up).
When setting up a Launch configuration you can add many sites to a single launch configuration name. By doing this you can take advantage of the multi-cloud overflow capabilities which are unique to Phantom.
For example, if you wish to have a launch configuration named mylaunch that will later allow you to launch 10 VMs such that 8 are on FutureGrid’s hotel and 2 are on EC2, you would need to call CreateLaunchConfiguration twice, first with mylaunch@hotel and next with mylaunch@ec2.
The Autoscale protocol details can be found here.
DeleteLaunchConfiguration. This simply deletes a launch configuration that the user previously created with a call to CreateLaunchConfiguration. You must use the <launch configuration name>@<target cloud name> name here. The Autoscale protocol details can be found here.
DescribeLaunchConfigurations. List all of the launch configurations that the user previously created with calls to CreateLaunchConfiguration. You must use the <launch configuration name>@<target cloud name> name here. The Autoscale protocol details can be found here.
CreateAutoScalingGroup. This API function will start running a group of VMs described by the provided ‘Launch Configuration’.
A major difference between Phantom and EC2 is that in this call you must specify some Tags that control how your autoscale group will interact between clouds. The following 3 tags are needed:
key: PHANTOM_DEFINITION, value: error_overflow_n_preserving In this version of Phantom that is the only accepted value
key: clouds, value: a comma separated ordered list of the following format:
<cloud name>:<max VMs for that cloud>
each cloud name must be in the LaunchConfiguration also given to this API call. The max VM value tells phantom to not run more VMs than that number of the cloud. A value of -1 means infinity.
- key: n_preserve, value: an integer specifying the maximum number of VMs to schedule across all the clouds.
The Autoscale protocol details can be found here.
DeleteAutoScalingGroup. This API call will stop a running auto scale group. The Autoscale protocol details can be found here.
DescribeAutoScalingGroups This API call lists all of the calling users currently running autoscaling groups. The Autoscale protocol details can be found here.
SetDesiredCapacity. This API call sets the number of VMs currently running in a given Auto Scaling Group. The user is free to adjust this. The Autoscale protocol details can be found here.
Here we will describe a typical user execution flow. The first thing a user will do is create a VM image. This task is outside of the scope of this document and we assume that the reader is familiar with this. Once the user has selected the VM image they wish to use, they will pick an instance type. The instance type describes the hardware in which the VM image will run. The last thing the user must pick is a ssh key to use. The ssh key should already be associated with the cloud (or clouds) on which the user will run their Auto Scale Group. The process of associating a ssh public key with a cloud is described here.
When these three items are selected the user can create a Launch Configuration (a single reference to the tuple of the above described values. The AWS concept of Launch Configuration is similar and may be helpful to understand. Launch Configurations can be stored for many runs and reused.
For every cloud on which you want your domain to run you must call Create Launch Configuration Pick a launch configuration name and append “@<sitename>” to it. Then that name will be used to manage what each site will run via the Create Launch Configuration Autoscale API call.
Once a launch configuration is created, the user will launch an “Auto Scale Group”. To do this the user must pick three things:
- The total number of VMs that will be in this autoscale group (this number can be adjusted later). The set of VMs may be across many clouds. This value is called the desired size.
- The launch configuration to be used with this domain.
- The set of clouds on which the VMs will be run. Each cloud must be in the associated launch configuration. The list of clouds needs to be ordered. A maximum number of VMs can be associated with each cloud, a value of negative one means infinity.
When scheduling scheduling VMs phantom will try to achieve the desired size. It will start with the first cloud and launch VMs until it hits the limit for that cloud or until it starts running into errors (typically due to capacity limits on that cloud). At that point it will move to the next cloud.
During the life-cycle of the user’s application, they may decide to change the number of VMs they have. They can do this with a call to ‘SetDesiredCapacity’.
When the user’s application is complete, a call to ‘DeleteAutoScalingGroup’ will terminate all the associated running VMs.