User Quickstart¶

Overview¶

Particle Cloud Framework is a cloud resource provisioning framework that is fully customizable and extensible, callable by code, and does not require manually maintaining states of resources. Particle Cloud Framework enables the standardization of modeling hierarchical cloud infrastructure, automating deployments, and managing lifecycles of cloud resources.

Installation¶

To install particle cloud framework, open an interactive shell and run:

pip install pcf

Note

Particle Cloud Framework requires python version 3.6 or higher.

Import and use a pcf Particle¶

First import the particles you will use. These can be core particles or custom particles that you created.

from pcf.core.ec2.ec2_instance import EC2Instance

Next we need to pass the desired state definition to the particle.

ec2_example_definition = {
    "pcf_name": "ec2_example",
    "flavor":"ec2_instance",
    "aws_resource": {
        "ImageId": "ami-xxxxx",
        "InstanceType": "t2.micro",
        "KeyName": "secret-key-xxx",
        "SecurityGroupIds": [
          "sg-xxxxxx",
        ],
        "SubnetId": "subnet-xxx",
        "userdata_template_file": "userdata-script-xxxxx.sh",
        "userdata_params": {},
        "IamInstanceProfile": {
          "Arn": "arn:aws:iam::xxxxxxxxx"
        },
        "InstanceInitiatedShutdownBehavior": "stop",
        "tags": {
          "NAME":"Value"
        },
        "BlockDeviceMappings": [
          {
            "DeviceName": "/dev/sda1",
            "Ebs": {
              "DeleteOnTermination": true,
              "VolumeSize": 20,
              "VolumeType": "gp2"
            }
          }
        ]
      }
}

Now to start the ec2 instance using pcf simply initialize the particle and set the desired state to running and apply.

particle = EC2Instance(ec2_example_definition)

particle.set_desired_state("running")
particle.apply()

To terminate simply change the desired state to terminated and apply.

particle.set_desired_state("terminated")
particle.apply()

Logging¶

To enable logging add the follow code to the top of your pcf python file.

import logging

logging.basicConfig(level=logging.DEBUG)

for handler in logging.root.handlers:
    handler.addFilter(logging.Filter('pcf'))