Gcp
GcpIntermediate

GCP vs AWS in 2024: A Comprehensive Cloud Platform Comparison

DevHub Team
5 min read
Cloud ComputingAWSGCPComparison

TL;DR

An in-depth comparison of Google Cloud Platform and Amazon Web Services, covering services, pricing, features, and best practices for cloud adoption in 2024

GCP vs AWS in 2024: A Comprehensive Cloud Platform Comparison

As cloud computing continues to evolve, choosing between Google Cloud Platform (GCP) and Amazon Web Services (AWS) becomes increasingly complex. This guide provides a detailed comparison to help you make an informed decision in 2024.

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``mermaid

graph TB

subgraph "Core Infrastructure"

A1["Compute"]

B1["Storage"]

C1["Networking"]

end

subgraph "Platform Services"

A2["Containers"]

B2["Serverless"]

C2["Databases"]

end

subgraph "Advanced Services"

A3["AI/ML"]

B3["Analytics"]

C3["Security"]

end

A1 --> A2

B1 --> B2

C1 --> C2

A2 --> A3

B2 --> B3

C2 --> C3

classDef aws fill:#FF9900,stroke:#fff,color:#fff

classDef gcp fill:#1a73e8,stroke:#fff,color:#fff

class A1,B1,C1 aws

class A2,B2,C2,A3,B3,C3 gcp

`

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Category AWS GCP
Compute EC2 Compute Engine
Containers EKS/ECS GKE
Serverless Lambda Cloud Functions
Storage S3 Cloud Storage

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`yaml

AWS EC2 Configuration

Resources:

EC2Instance:

Type: 'AWS::EC2::Instance'

Properties:

InstanceType: t3.medium

ImageId: ami-12345678

SecurityGroups:

- !Ref SecurityGroup

UserData:

Fn::Base64: !Sub |

#!/bin/bash

yum update -y

yum install -y httpd

systemctl start httpd

systemctl enable httpd

GCP Compute Engine Configuration

resources:

  • name: vm-instance
  • type: compute.v1.instance

    properties:

    machineType: n1-standard-2

    zone: us-central1-a

    disks:

    - deviceName: boot

    type: PERSISTENT

    boot: true

    autoDelete: true

    initializeParams:

    sourceImage: projects/debian-cloud/global/images/debian-10

    networkInterfaces:

    - network: global/networks/default

    accessConfigs:

    - name: External NAT

    type: ONE_TO_ONE_NAT

    `

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    Feature AWS EKS GCP GKE
    Auto-scaling Cluster Autoscaler Autopilot
    Node Management Manual Automated
    Integration AWS Services GCP Services

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    `typescript

    // AWS S3 Implementation

    import { S3Client, PutObjectCommand } from "@aws-sdk/client-s3";

    const s3Client = new S3Client({ region: "us-west-2" });

    async function uploadToS3(bucket: string, key: string, body: Buffer) {

    const command = new PutObjectCommand({

    Bucket: bucket,

    Key: key,

    Body: body,

    });

    return await s3Client.send(command);

    }

    // GCP Cloud Storage Implementation

    import { Storage } from "@google-cloud/storage";

    const storage = new Storage();

    async function uploadToGCS(bucket: string, filename: string, contents: Buffer) {

    const bucketObj = storage.bucket(bucket);

    const file = bucketObj.file(filename);

    await file.save(contents, {

    contentType: "application/octet-stream",

    });

    }

    `

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    Feature AWS S3 GCP Cloud Storage
    Storage Classes 6 tiers 4 tiers
    Lifecycle Management Advanced Basic
    Versioning Built-in Built-in

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    `yaml

    AWS RDS Configuration

    Resources:

    MyDB:

    Type: 'AWS::RDS::DBInstance'

    Properties:

    DBName: mydb

    Engine: mysql

    MasterUsername: admin

    MasterUserPassword: !Ref 'DBPassword'

    DBInstanceClass: db.t3.medium

    AllocatedStorage: '20'

    BackupRetentionPeriod: 7

    GCP Cloud SQL Configuration

    resources:

  • name: mysql-instance
  • type: sqladmin.v1beta4.instance

    properties:

    settings:

    tier: db-n1-standard-2

    backupConfiguration:

    enabled: true

    startTime: '23:00'

    databaseFlags:

    - name: character_set_server

    value: utf8mb4

    `

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    Feature AWS GCP
    SQL RDS Cloud SQL
    NoSQL DynamoDB Firestore
    In-Memory ElastiCache Memorystore

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    Category AWS GCP
    ML Platform SageMaker Vertex AI
    Vision API Rekognition Vision AI
    Speech Transcribe Speech-to-Text

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    `typescript

    interface ComputePricing {

    provider: string;

    instanceType: string;

    vCPUs: number;

    memory: number;

    pricePerHour: number;

    }

    const computePricing: ComputePricing[] = [

    {

    provider: "AWS",

    instanceType: "t3.medium",

    vCPUs: 2,

    memory: 4,

    pricePerHour: 0.0416

    },

    {

    provider: "GCP",

    instanceType: "n1-standard-2",

    vCPUs: 2,

    memory: 4,

    pricePerHour: 0.0475

    }

    ];

    `

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    Storage Type AWS (per GB/month) GCP (per GB/month)
    Standard $0.023 $0.020
    Infrequent Access $0.0125 $0.010
    Archive $0.004 $0.004

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    `typescript

    // AWS IAM Policy

    const awsPolicy = {

    Version: "2012-10-17",

    Statement: [

    {

    Effect: "Allow",

    Action: [

    "s3:GetObject",

    "s3:PutObject"

    ],

    Resource: "arn:aws:s3:::my-bucket/*"

    }

    ]

    };

    // GCP IAM Policy

    const gcpPolicy = {

    bindings: [

    {

    role: "roles/storage.objectViewer",

    members: [

    "user:jane@example.com"

    ]

    }

    ]

    };

    `

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    Feature AWS GCP
    Identity IAM Cloud IAM
    Network Security Security Groups Firewall Rules
    Key Management KMS Cloud KMS

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    1. Lift and Shift

    `yaml

    # AWS CloudFormation

    Resources:

    MigrationInstance:

    Type: 'AWS::EC2::Instance'

    Properties:

    InstanceType: m5.large

    ImageId: ami-migration-tools

    # GCP Deployment Manager

    resources:

    - name: migration-instance

    type: compute.v1.instance

    properties:

    machineType: n1-standard-2

    metadata:

    items:

    - key: startup-script

    value: |

    #!/bin/bash

    # Install migration tools

    apt-get update

    apt-get install -y cloud-migrate

    `

    2. Re-platforming

    `yaml

    # AWS Elastic Beanstalk

    Resources:

    Application:

    Type: 'AWS::ElasticBeanstalk::Application'

    Properties:

    Description: Migration application

    # GCP App Engine

    runtime: python39

    env: standard

    instance_class: F2

    automatic_scaling:

    target_cpu_utilization: 0.65

    min_instances: 1

    max_instances: 10

    ``

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    Pattern AWS Implementation GCP Implementation
    Microservices ECS/EKS + API Gateway GKE + Cloud Run
    Serverless Lambda + DynamoDB Cloud Functions + Firestore
    Data Lake S3 + Athena Cloud Storage + BigQuery

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    Use Case Recommended Platform Reason
    Enterprise AWS Mature ecosystem
    ML/AI GCP Advanced AI capabilities
    Hybrid Cloud GCP Anthos platform

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    1. [AWS Documentation](https://docs.aws.amazon.com/)

    2. [GCP Documentation](https://cloud.google.com/docs)

    3. [AWS Pricing Calculator](https://calculator.aws/)

    4. [GCP Pricing Calculator](https://cloud.google.com/products/calculator)

    5. [Cloud Migration Guide](https://cloud.google.com/solutions/migration-center)

    6. [AWS vs GCP Services](https://cloud.google.com/docs/compare/aws)

  • [GCP Vertex AI](/posts/gcp/vertex-ai) - ML capabilities
  • [GCP Cloud Run Jobs](/posts/gcp/cloud-run-jobs) - Serverless
  • [GCP Cost Optimization](/posts/gcp/cost-optimization) - Pricing
  • [GCP Serverless](/posts/gcp/serverless) - Architecture
  • Why This Matters

    Understanding the business and technical context helps you make informed decisions rather than blindly following patterns.

    Trade-offs to Consider

    Every architectural decision involves trade-offs. Consider your specific requirements, team expertise, and scale when evaluating options.

    When NOT to Use This

    Knowing when a solution doesn't apply is as valuable as knowing when it does. Consider alternatives for your specific situation.

    Decision Framework

    Use this framework to evaluate whether this approach is right for your use case based on your specific constraints and requirements.