AWS：创新和规模的代名词

后端

2023-10-11 19:41:54

云计算巨头之间的选择之战：AWS、Azure和GCP

云计算世界是由三巨头主宰的：亚马逊网络服务（AWS）、微软Azure和谷歌云平台（GCP）。这三个平台都为企业提供各种云服务，包括计算、存储、数据库、分析和大数据服务。

每个平台都有自己的优势和劣势。在选择最适合您业务需求的平台时，考虑以下因素至关重要。

AWS

AWS是云计算行业的先驱，拥有广泛且不断发展的服务。它的优势包括：

广泛的服务： AWS提供业内最全面的云服务套件，涵盖所有主要的云计算领域。
强大的安全性： AWS符合严格的安全标准，并提供各种安全功能，以保护数据和应用程序。
无与伦比的扩展性： AWS利用全球分布的巨大数据中心网络，满足企业不断增长的需求。

示例代码：

import com.amazonaws.services.ec2.AmazonEC2;
import com.amazonaws.services.ec2.AmazonEC2ClientBuilder;
import com.amazonaws.services.ec2.model.Instance;
import com.amazonaws.services.ec2.model.InstanceType;
import com.amazonaws.services.ec2.model.RunInstancesRequest;
import com.amazonaws.services.ec2.model.RunInstancesResult;

public class CreateInstance {

    public static void main(String[] args) {
        AmazonEC2 ec2Client = AmazonEC2ClientBuilder.defaultClient();

        RunInstancesRequest runInstancesRequest = new RunInstancesRequest()
                .withImageId("ami-id")
                .withInstanceType(InstanceType.T2Micro)
                .withMinCount(1)
                .withMaxCount(1);

        RunInstancesResult runInstancesResult = ec2Client.runInstances(runInstancesRequest);

        for (Instance instance : runInstancesResult.getInstances()) {
            System.out.println("Instance ID: " + instance.getInstanceId());
        }
    }
}

Azure

Azure以其灵活性和对混合环境的支持而闻名。它的优势包括：

混合灵活性： Azure可以与Microsoft on-premises产品和服务一起使用，为企业提供灵活的部署选项。
强大的开发工具： Azure提供各种开发工具和服务，包括Visual Studio和.NET框架。
卓越的性能： Azure针对高性能工作负载进行了优化，提供低延迟和高吞吐量。

示例代码：

import azure.mgmt.compute.compute.models as compute
from azure.mgmt.resource import ResourceManagementClient
from azure.mgmt.compute import ComputeManagementClient


def create_vm(
    resource_group_name: str,
    vm_name: str,
    location: str = "eastus",
    vm_size: str = "Standard_DS1_v2",
    os_type: str = "Linux",
    admin_username: str = "adminuser",
    admin_password: str = "Pa$w0rd",
) -> compute.VirtualMachine:
    """
    Create a new virtual machine in the specified resource group.

    Args:
        resource_group_name: The name of the resource group to create the VM in.
        vm_name: The name of the VM to create.
        location: The location to create the VM in.
        vm_size: The size of the VM to create.
        os_type: The type of operating system to install on the VM.
        admin_username: The username for the VM administrator.
        admin_password: The password for the VM administrator.

    Returns:
        The created virtual machine.
    """

    # Create the Resource Management Client
    resource_client = ResourceManagementClient()

    # Check if the resource group exists
    resource_group = resource_client.resource_groups.get(resource_group_name)
    if resource_group is None:
        raise ValueError(f"Resource group {resource_group_name} does not exist.")

    # Create the Compute Management Client
    compute_client = ComputeManagementClient()

    # Create the virtual machine parameters
    vm_parameters = compute.VirtualMachine(
        location=location,
        os_profile=compute.OSProfile(
            computer_name=vm_name,
            admin_username=admin_username,
            admin_password=admin_password,
        ),
        storage_profile=compute.StorageProfile(
            image_reference=compute.ImageReference(
                publisher="MicrosoftWindowsServer",
                offer="WindowsServer",
                sku="2019-Datacenter",
                version="latest",
            )
        ),
        hardware_profile=compute.HardwareProfile(vm_size=vm_size),
        network_profile=compute.NetworkProfile(
            network_interfaces=[
                compute.NetworkInterfaceReference(name="myNetworkInterface")
            ]
        ),
    )

    # Create the virtual machine
    vm = compute_client.virtual_machines.create_or_update(
        resource_group_name, vm_name, vm_parameters
    )

    # Return the created virtual machine
    return vm

GCP

GCP以其在人工智能和机器学习方面的领先地位而著称。它的优势包括：

人工智能/机器学习专业知识： GCP提供先进的人工智能和机器学习算法和服务。
低成本和效率： GCP针对成本效率进行了优化，提供灵活的定价模型和折扣计划。
开放源代码和社区支持： GCP基于开源技术构建，拥有强大的开发者社区。

示例代码：

import (
    "context"
    "fmt"
    "io"

    compute "cloud.google.com/go/compute/apiv1"
    computepb "google.golang.org/genproto/googleapis/cloud/compute/v1"
)

// createInstance creates a new VM instance in the given project and zone.
func createInstance(w io.Writer, projectID, zone, instanceName string) error {
    // projectID := "your_project_id"
    // zone := "europe-central2-b"
    // instanceName := "your_instance_name"

    ctx := context.Background()
    instancesClient, err := compute.NewInstancesRESTClient(ctx)
    if err != nil {
        return fmt.Errorf("NewInstancesRESTClient: %v", err)
    }
    defer instancesClient.Close()

    req := &computepb.InsertInstanceRequest{
        Project: projectID,
        Zone:    zone,
        InstanceResource: &computepb.Instance{
            Name: &instanceName,
            Disks: []*computepb.AttachedDisk{
                {
                    InitializeParams: &computepb.AttachedDiskInitializeParams{
                        DiskSizeGb:  proto.Int64(10),
                        SourceImage: "projects/debian-cloud/global/images/family/debian-11",
                    },
                    AutoDelete: proto.Bool(true),
                    Boot:       proto.Bool(true),
                    Type:       proto.String(computepb.AttachedDisk_PERSISTENT.String()),
                },
            },
            MachineType: fmt.Sprintf("zones/%s/machineTypes/n1-standard-1", zone),
            NetworkInterfaces: []*computepb.NetworkInterface{
                {
                    Name: proto.String("global/networks/default"),
                },
            },
        },
    }

    op, err := instancesClient.Insert(ctx, req)
    if err != nil {
        return fmt.Errorf("unable to create instance: %v", err)
    }

    if err = op.Wait(ctx); err != nil {
        return fmt.Errorf("unable to wait for the operation: %v", err)
    }

    fmt.Fprintf(w, "Instance created\n")

    return nil
}