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Amazon CloudTrail: AWS CloudTrail is a service that enables governance, compliance, operational auditing, and risk auditing of your AWS account1.

API Call History: It provides an event history of your AWS account activity, including actions taken through the AWS Management Console, AWS SDKs, command line tools, and other AWS services1.

Security Analysis: The AWS API call history produced by CloudTrail enables security analysis, resource change tracking, and compliance auditing1.

Operational Auditing: CloudTrail continuously monitors and logs account activity across all AWS services, including actions taken by a user, role, or AWS service1.

Compliance Auditing: CloudTrail logs provide detailed records of all API calls, which can be used to audit compliance with regulatory standards like HIPAA and PCI2.

References:

AWS Security Hub documentation on CloudTrail controls1.

Medium article on exploring AWS CloudTrail2.

To handle the collection, transformation, and loading of user behavior data into Amazon S3, AWS Kinesis Data Firehose is the suitable service. Here’s how it works:

Data Collection: Kinesis Data Firehose collects streaming data in real-time from various sources, including web applications that track user interactions.

Data Transformation: It can transform incoming streaming data using AWS Lambda, which can include converting data into zip files if necessary1.

Loading to Amazon S3: After transformation, Kinesis Data Firehose automatically loads the data into Amazon S3, handling massive volumes efficiently and reliably1.

Real-time Processing: The service allows for the real-time processing of data, which is essential for capturing dynamic user behavior data.

References:AWS Kinesis Data Firehose is designed to capture, transform, and load streaming data into AWS data stores for near real-time analytics with existing business intelligence tools and dashboards1. It’s a fully managed service that scales automatically to match the throughput of your data and requires no ongoing administration. It can also batch, compress, and encrypt the data before loading, reducing the amount of storage used at the destination and increasing security1.

AWS CloudFormation: AWS CloudFormation is a service that helps you model and set up your Amazon Web Services resources so that you can spend less time managing those resources and more time focusing on your applications that run in AWS1.

Resource Management: You create a template that describes all the AWS resources that you want (like Amazon EC2 instances or Amazon RDS DB instances), and AWS CloudFormation takes care of provisioning and configuring those resources for you1.

Complex Applications: For complex applications with multiple resources, CloudFormation allows you to manage related resources as a single unit, called a stack1.

Automation: CloudFormation automates the provisioning and updating of your infrastructure in a safe and controlled manner, with rollbacks and staged updates1.

Benefits: By using AWS CloudFormation, Steven can define his infrastructure in code and use this to create and manage his AWS resources, which simplifies the management of complex applications1.

References:

AWS’s official documentation on AWS CloudFormation1.