How can the company meet these requirements with the LEAST amount of effort?
Activate S3 server access logging. Import the access logs into an Amazon Aurora database. Use an Aurora SQL query to analyze the access patterns.
Activate S3 server access logging. Use Amazon Athena to create an external table with the log files. Use Athena to create a SQL query to analyze the access patterns.
Invoke an AWS Lambda function for every S3 object access event. Configure the Lambda function to write the file access information, such as user. S3 bucket, and file key, to an Amazon Aurora database. Use an Aurora SQL query to analyze the access patterns.
Record an Amazon CloudWatch Logs log message for every S3 object access event. Configure a CloudWatch Logs log stream to write the file access information, such as user, S3 bucket, and file key, to an Amazon Kinesis Data Analytics for SQL application. Perform a sliding window analysis.
Explanations:
While activating S3 server access logging and importing logs into Amazon Aurora could provide insights, it involves more effort in terms of log processing and management. Additionally, it requires setting up and maintaining an Aurora database, which may not be the most efficient approach for immediate access pattern analysis.
Activating S3 server access logging and using Amazon Athena to query the logs provides a straightforward and efficient way to analyze access patterns without needing to manage infrastructure. Athena allows for serverless querying directly on S3 log files, minimizing effort and cost.
Invoking a Lambda function for every S3 object access event to log access details introduces significant overhead and complexity. It requires additional configuration and management of Lambda functions and an Aurora database, making it less efficient for gathering access patterns compared to server access logging and Athena.
Recording logs for every S3 access event in CloudWatch Logs adds unnecessary complexity and may lead to high costs due to the volume of logs generated. While it can provide data for analysis, using Kinesis Data Analytics for SQL applications is also more complex than using Athena for log analysis, making it less ideal for this requirement.
I would say the answer is:
Activate S3 server access logging. Use Amazon Athena to create an external table with the log files. Use Athena to create a SQL query to analyze the access patterns.
As far as I can tell, the answer is:
Activate S3 server access logging. Use Amazon Athena to create an external table with the log files. Use Athena to create a SQL query to analyze the access patterns.