Найдите доступный VPS в Канаде: примеры кода для AWS, Google Cloud и DigitalOcean

Чтобы найти дешевый VPS в Канаде, вы можете использовать различные методы. Вот несколько подходов и примеры кода с использованием популярных поставщиков облачных услуг:

  1. AWS EC2 (Веб-сервисы Amazon):

    import boto3
    # Create an EC2 client
    ec2_client = boto3.client('ec2', region_name='ca-central-1')
    # Search for available instances with desired specifications
    response = ec2_client.describe_instances(
    Filters=[
        {'Name': 'instance-type', 'Values': ['t3.nano']},
        {'Name': 'availability-zone', 'Values': ['ca-central-1a']}
    ]
    )
    # Extract the instance details
    instances = response['Reservations'][0]['Instances']
    for instance in instances:
    print('Instance ID:', instance['InstanceId'])
    print('Public IP:', instance['PublicIpAddress'])
  2. Google Cloud Compute Engine:

    from google.cloud import compute_v1
    # Create a Compute Engine client
    compute_client = compute_v1.InstancesClient()
    # Search for available instances with desired specifications
    project_id = 'your-project-id'
    zone = 'us-central1-a'
    machine_type = 'f1-micro'
    instances = compute_client.list(
    project=project_id,
    zone=zone,
    filter_=f'machineType={machine_type} AND status=RUNNING'
    )
    # Extract the instance details
    for instance in instances:
    print('Instance name:', instance.name)
    print('Public IP:', instance.network_interfaces[0].access_configs[0].nat_ip)
  3. DigitalOcean Droplets:

    import requests
    # API endpoint and token
    endpoint = 'https://api.digitalocean.com/v2/droplets'
    token = 'your-api-token'
    # Search for available droplets with desired specifications
    params = {
    'region': 'tor1',
    'size': 's-1vcpu-1gb',
    'tag_name': 'cheap'
    }
    headers = {
    'Authorization': f'Bearer {token}',
    'Content-Type': 'application/json'
    }
    response = requests.get(endpoint, params=params, headers=headers)
    # Extract the droplet details
    droplets = response.json()['droplets']
    for droplet in droplets:
    print('Droplet ID:', droplet['id'])
    print('Public IP:', droplet['networks']['v4'][0]['ip_address'])