How to Integrate AWS Services

Amazon Web Services (AWS) provides a complete cloud platform for building scalable, reliable applications. From EC2 for compute to SageMaker for ML, AWS has everything you need.

Step 1: Create an AWS Account

Sign up at aws.amazon.com with your email and credit card. Verify your identity via phone call or SMS.

Step 2: Configure IAM Access

Best practice: Create an IAM user with programmatic access instead of using root credentials.

1. Go to IAM → Users → Create user
2. Enable Programmatic access
3. Attach AdministratorAccess or custom policies
4. Save the Access Key ID and Secret Access Key

Step 3: Install the AWS CLI

pip install awscli

Step 4: Configure Credentials

aws configure
# Enter your keys, region (us-east-1), and format (json)

Step 5: Use AWS SDKs (Boto3 for Python)

import boto3

# S3: Object Storage
s3 = boto3.client('s3')
s3.upload_file('data.csv', 'my-bucket', 'data.csv')

# EC2: Compute Resources
ec2 = boto3.resource('ec2')
instances = ec2.create_instances(
    ImageId='ami-0c55b159cbfafe1f0',
    MinCount=1, MaxCount=1,
    InstanceType='t2.micro'
)

# Lambda: Serverless Functions
lambda_client = boto3.client('lambda')
lambda_client.invoke(
    FunctionName='my-function',
    InvocationType='RequestResponse',
    Payload=json.dumps({'key': 'value'})
)

Essential AWS Services

Compute: EC2, Lambda, ECS/EKS Storage: S3, EBS, EFS Databases: RDS, DynamoDB, ElastiCache Machine Learning: SageMaker, Bedrock, Textract

Best Practices

• Use IAM roles instead of access keys when possible
• Enable MFA on all accounts
• Tag resources for cost allocation
• Use CloudWatch for monitoring
• Set up billing alerts

For comprehensive guides, see AWS Documentation.